PUBLICATIONS

2024

Monaco, Simone, et al. "Author Correction: AI models for automated segmentation of engineered polycystic kidney tubules." Scientific Reports 14 (2024).

Pozzi, Matteo, et al. "Scoring Tumor-Infiltrating Lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach." MICCAI Workshop on Computational Pathology with Multimodal Data (COMPAYL).

Malaguti, M.C., Gios, L., Giometto, B., Longo, C., Riello, M., Ottaviani, D., Pellegrini, M., Di Giacopo, R., Donner, D., Rozzanigo, U. and Chierici, M., 2024. Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study. Plos one, 19(3), p.e0300127.

Monaco, S., Bussola, N., Buttò, S., Sona, D., Giobergia, F., Jurman, G., Xinaris, C. and Apiletti, D., 2024. AI models for automated segmentation of engineered polycystic kidney tubules. Scientific Reports, 14(1), p.2847.

Makra, L., Coviello, L., Gobbi, A., Jurman, G., Furlanello, C., Brunato, M., Ziska, L.H., Hess, J.J., Damialis, A., Garcia, M.P.P. and Tusnády, G., 2024. Forecasting daily total pollen concentrations on a global scale. Allergy.

2023

Martorell Marugán, Jordi; Chierici, Marco; Jurman, Giuseppe; Alarcón-Riquelme, Marta E.; Carmona-Sáez, Pedro; Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data; in « COMPUTERS IN BIOLOGY AND MEDICINE»; Vol 152; 2023; pp 106373

Minnai, Francesca; Noci, Sara; Chierici, Marco; Cotroneo, Chiara; Bartolini, Barbara; Incarbone, Matteo; Tosi, Davide; Mattioni, Giovanni; Jurman, Giuseppe; Dragani, Tommaso A.; Colombo, Francesca; Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients’ non‐involved lung tissue; in « CANCER SCIENCE»; Vol 114>; 2023; pp 281 - 294

Martorell Marugán, Jordi; Chierici, Marco; Bandres-Ciga, Sara; Jurman, Giuseppe; Carmona-Sáez, Pedro; Machine Learning Applications in the Study of Parkinson’s Disease: A Systematic Review; in « CURRENT BIOINFORMATICS »; Vol 18>; 2023; pp

Chicco, Davide; Jurman, Giuseppe; Ten simple rules for providing bioinformatics support within a hospital; in « BIODATA MINING»; Vol 16>; 2023; pp 6

Chicco, Davide; Jurman, Giuseppe; The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification; in « BIODATA MINING» ; Vol 16>; 2023; pp 4

Abubakar Yamin, Muhammad; Valsasina, Paola; Tessadori, Jacopo; Filippi, Massimo; Murino, Vittorio; Rocca, Maria A.; Sona, Diego; Discovering functional connectivity features characterizing multiple sclerosis phenotypes using explainable artificial intelligence; in « HUMAN BRAIN MAPPING»; Vol 44>; 2023; pp 2294 - 2306

Valeri, Federico; Bartolucci, Maurizio; Cantoni, Elena; Carpi, Roberto; Cisbani, Evaristo; Cupparo, Ilaria; Doria, Sandra; Gori, Cesare; Grigioni, Mauro; Lasagni, Lorenzo; Marconi, Alessandro; Mazzoni, Lorenzo Nicola; Miele, Vittorio; Pradella, Silvia; Risaliti, Guido; Sanguineti, Valentina; Sona, Diego; Vannucchi, Letizia; Taddeucci, Adriana; UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images; in « JOURNAL OF MEDICAL IMAGING»; Vol 10; 2023; pp S11904

Mamandipoor, Behrooz; Bruno, Raphael Romano; Wernly, Bernhard; Wolff, Georg; Fjølner, Jesper; Artigas, Antonio; Pinto, Bernardo Bollen; Schefold, Joer; COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients; in PLOS DIGITAL HEALTH; 10.1371/journal.pdig.0000136; 2022-11-11; https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000136.

Chierici, Marco; Puica, Nicolae; Pozzi, Matteo; Capistrano, Antonello; Dorian Donzella, Marcello; Colangelo, Antonio; Osmani, Venet; Jurman, Giuseppe; Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging; in BMC MEDICAL INFORMATICS AND DECISION MAKING; 10.1186/s12911-022-02043-w; 2022-11-24; https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-02043-w.

Martorell Marugán, Jordi; Chierici, Marco; Jurman, Giuseppe; Alarcón-Riquelme, Marta E.; Carmona-Sáez, Pedro; Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data; in COMPUTERS IN BIOLOGY AND MEDICINE; 10.1016/j.compbiomed.2022.106373; 2022-12-06; https://www.sciencedirect.com/science/article/pii/S0010482522010812.

Chicco, Davide; Jurman, Giuseppe; A brief survey of tools for genomic regions enrichment analysis; in FRONTIERS IN BIOINFORMATICS; 10.3389/fbinf.2022.968327; 2023-01-15; https://www.frontiersin.org/articles/10.3389/fbinf.2022.968327/full.

Chicco, Davide; Jurman, Giuseppe; The ABC recommendations for validation of supervised machine learning results in biomedical sciences; in FRONTIERS IN BIG DATA; 10.3389/fdata.2022.979465; 2023-01-15; None.

Marcolini, Alessia; Bussola, Nicole; Arbitrio, Ernesto; Amgad, Mohamed; Jurman, Giuseppe; Furlanello, Cesare; histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing; in SOFTWAREX; 10.1016/j.softx.2022.101237; 2023-01-15; https://www.softxjournal.com/article/S2352-7110(22)00155-8/fulltext#.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Aboulhorma, A.; Abramowicz, H.; Abreu, H.; Abulaiti; Measurements of differential cross-sections in top-quark pair events with a high transverse momentum top quark and limits on beyond the Standard Model contributions to top-quark pair production with the ATLAS detector at s√ = 13 TeV; in JOURNAL OF HIGH ENERGY PHYSICS; 10.1007/jhep06(2022)063; 2023-01-16; https://link.springer.com/article/10.1007/JHEP06(2022)063.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Aboulhorma, A.; Abramowicz, H.; Abreu, H.; Abulaiti; Measurements of the Higgs boson inclusive and differential fiducial cross-sections in the diphoton decay channel with pp collisions at s√ = 13 TeV with the ATLAS detector; in JOURNAL OF HIGH ENERGY PHYSICS; 10.1007/jhep08(2022)027; 2023-01-16; https://link.springer.com/article/10.1007/JHEP08(2022)027.

Chicco, Davide; Jurman, Giuseppe; Ten simple rules for providing bioinformatics support within a hospital; in BIODATA MINING; 10.1186/s13040-023-00326-0; 2023-03-08; https://biodatamining.biomedcentral.com/articles/10.1186/s13040-023-00326-0.

Franch, Gabriele; Tomasi, Elena; Poli, Virginia; Cardinali, Chiara; Cristoforetti, Marco; Paolo Alberoni, Pier; Ensemble precipitation nowcasting by combination of generative and transformer deep learning models; in None; 10.5194/egusphere-egu23-15153; 2023-03-22; None.

Koköfer, Andreas; Mamandipoor, Behrooz; Flamm, Maria; Rezar, Richard; Wernly, Sarah; Datz, Christian; Jung, Christian; Osmani, Venet; Wernly, Bernhard; The impact of ethnic background on ICU care and outcome in sepsis and septic shock - A retrospective multicenter analysis on 17,949 patients; in BMC INFECTIOUS DISEASES; 10.1186/s12879-023-08170-7; 2023-04-06; https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-023-08170-7.

Chicco, Davide; Jurman, Giuseppe; The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification; in BIODATA MINING; 10.1186/s13040-023-00322-4; 2023-04-17; https://biodatamining.biomedcentral.com/articles/10.1186/s13040-023-00322-4.

Chicco, Davide; Sanavia, Tiziana; Jurman, Giuseppe; Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma; in BIODATA MINING; 10.1186/s13040-023-00325-1; 2023-05-19; https://biodatamining.biomedcentral.com/articles/10.1186/s13040-023-00325-1.

Chicco, Davide; Jurman, Giuseppe; A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes–Mallows index; in JOURNAL OF BIOMEDICAL INFORMATICS; 10.1016/j.jbi.2023.104426; 2023-06-28; https://www.sciencedirect.com/science/article/abs/pii/S1532046423001478.

Baragetti, A.; Grigore, L.; Pellegatta, F.; Mattavelli, E.; Chierici, M.; Jurman, G.; Catapano, A.; Targeted proteomics and the presence of carotid plaques in subjects at low cardiovascular disease risk; in ATHEROSCLEROSIS; 10.1016/j.atherosclerosis.2023.06.687; 2023-09-22; https://www.atherosclerosis-journal.com/article/S0021-9150(23)04779-2/fulltext.

2022

Chicco, Davide; Jurman, Giuseppe; A brief survey of tools for genomic regions enrichment analysis; in "FRONTIERS IN BIOINFORMATICS"; Vol 2>; 2022

Chicco, Davide; Jurman, Giuseppe; An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis; in «IEEE ACCESS » ; Vol 9>; 2021; pp. 24485 - 24498

Chicco, D.; Jurman, G; An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence; in « FRONTIERS IN ROBOTICS AND AI»; Vol 9>; 2022; pp

Chierici, Marco; Puica, Nicolae; Pozzi, Matteo; Capistrano, Antonello; Dorian Donzella, Marcello; Colangelo, Antonio; Osmani, Venet; Jurman, Giuseppe; Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging; in « BMC MEDICAL INFORMATICS AND DECISION MAKING»; Vol 22>; 2022; pp 300

Levi Mortera, Stefano; Vernocchi, Pamela; Basadonne, Ilaria; Zandonà, Alessandro; Chierici, Marco; Durighello, Martina; Marzano, Valeria; Gardini, Simone; Gasbarrini, Antonio; Urbani, Andrea; Vicari, Stefano; Roncada, Paola; Furlanello, Cesare; Venuti, Paola; Putignani, Lorenza; A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders; in « JOURNAL OF PROTEOMICS»; Vol 251>; 2022; pp 104407

Buonaiuto, Silvia; Biase, Immacolata Di; Aleotti, Valentina; Ravaei, Amin; Marino, Adriano De; Damaggio, Gianluca; Chierici, Marco; Pulijala, Madhuri; D’Ambrosio, Palmira; Esposito, Gabriella; Ayub, Qasim; Furlanello, Cesare; Greco, Pantaleo; Capalbo, Antonio; Rubini, Michele; Biase, Sebastiano Di; Colonna, Vincenza; Prioritization of putatively detrimental variants in euploid miscarriages; in «SCIENTIFIC REPORTS »; Vol 12; 2022; pp

Marchesi, Raffaele; Micheletti, Nicolo; Jurman, Giuseppe; Osmani, Venet; Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data; in « Proceedings of NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research»; 2022; pp

Chicco, Davide; Alameer, Abbas; Rahmati, Sara; Jurman, Giuseppe; Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning; in « BIODATA MINING»; Vol 15>; 2022; pp

Moroni, Monica; Brondi, Marco; Fellin, Tommaso; Panzeri, Stefano; SmaRT2P: a software for generating and processing smart line recording trajectories for population two-photon calcium imaging; in « BRAIN INFORMATICS»; Vol 9>; 2022; pp 18

Panzeri, Stefano; Moroni, Monica; Safaai, Houman; Harvey, Christopher D.; The structures and functions of correlations in neural population codes; in « NATURE REVIEWS. NEUROSCIENCE»; Vol 23>; 2022; pp 551 - 567

Osmani, V.; Li, L; Danieletto, M; Glicksberg, B; Dudley, J; Oscar, Mayora; Processing of Electronic Health Records using Deep Learning: A review; in None; None; 2022-05-10; None.

Carrington, Andre M; Manuel, Douglas G; Fieguth, Paul; Ramsay, Timothy O; Osmani, Venet; Wernly, Bernhard; Bennett, Carol; Hawken, Steven; Magwood, Ol; Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation; in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE; 10.1109/TPAMI.2022.3145392; 2022-01-29; https://ieeexplore.ieee.org/document/9693294.

Monaco, Simone; Bussola, Nicole; Butto, Sara; Sona, Diego; Apiletti, Daniele; Jurman, Giuseppe; Viola, Elisa; Chierici, Marco; Xinaris, Christodoulos;; Cyst segmentation on kidney tubules by means of U-Net deep-learning models; in None; 10.1109/BigData52589.2021.9671669; 2022-02-07; https://ieeexplore.ieee.org/document/9671669.

Mathys, Grapotte; Manu, Saraswat; Chloé, Bessière; Christophe, Menichelli; Jordan A, Ramilowski; Jessica, Severin; Yoshihide, Hayashizaki; Masayoshi, ; Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network; in NATURE COMMUNICATIONS; 10.1038/s41467-021-23143-7; 2022-02-07; None.

Rezar, Richard; Jung, Christian; Mamandipoor, Behrooz; Seelmaier, Clemens; Felder, Thomas K.; Lichtenauer, Michael; Wernly, Sarah; Zwaag, Samanta M.; ; Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients; in BMC EMERGENCY MEDICINE; 10.1186/s12873-022-00602-y; 2022-03-12; https://bmcemergmed.biomedcentral.com/articles/10.1186/s12873-022-00602-y.

Buonaiuto, Silvia; Biase, Immacolata Di; Aleotti, Valentina; Ravaei, Amin; Marino, Adriano De; Damaggio, Gianluca; Chierici, Marco; Pulijala, Madhuri;; Prioritization of putatively detrimental variants in euploid miscarriages; in SCIENTIFIC REPORTS; 10.1038/s41598-022-05737-3; 2022-03-16; https://www.nature.com/articles/s41598-022-05737-3.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Aboulhorma, A.; Abramowicz, H.; Abreu, H.; Abula; Search for Higgs boson decays into a pair of pseudoscalar particles in the bbμμ final state with the ATLAS detector in pp collisions at √s=13TeV; in PHYSICAL REVIEW D; 10.1103/PhysRevD.105.012006; 2022-03-16; https://journals.aps.org/prd/abstract/10.1103/PhysRevD.105.012006.

Aad, G; Abbott, B; Abbott, D C; Abed Abud, A; Abeling, K; Abhayasinghe, D K; Abidi, S H; Abramowicz, H; Abreu, H; Abulaiti, Y; Abusleme Hoffman, A C; ; Search for New Phenomena in Final States with Two Leptons and One or No b-Tagged Jets at √s=13TeV Using the ATLAS Detectorr; in PHYSICAL REVIEW LETTERS; 10.1103/PhysRevLett.127.141801; 2022-03-16; https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.127.141801.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Performance of the ATLAS RPC detector and Level-1 muon barrel trigger at √(s)=13 TeV; in JOURNAL OF INSTRUMENTATION; 10.1088/1748-0221/16/07/P07029; 2022-03-16; https://iopscience.iop.org/article/10.1088/1748-0221/16/07/P07029.

Aad, G.; Abbott, B.; Abbott, D. C.; Abud, A. Abed; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events; in COMPUTING AND SOFTWARE FOR BIG SCIENCE; 10.1007/s41781-021-00062-2; 2022-03-16; https://link.springer.com/article/10.1007/s41781-021-00062-2.

Velichkovska, Bojana; Gjoreski, Hristijan; Denkovski, Daniel; Kalendar, Marija; Mamandipoor, Behrooz; Celi, Leo Anthony; Osmani, Venet; Vital signs as a source of racial bias; in None; 10.1101/2022.02.03.22270291; 2022-03-19; http://venetosmani.com/publications/Vital_signs_as_a_source_of_racial_bias.pdf.

Dankl, Daniel; Rezar, Richard; Mamandipoor, Behrooz; Zhou, Zhichao; Wernly, Sarah; Wernly, Bernhard; Osmani, Venet; Red Cell Distribution Width is independently associated with Mortality in Sepsis; in MEDICAL PRINCIPLES AND PRACTICE; 10.1159/000522261; 2022-03-21; https://www.karger.com/Article/FullText/522261.

Jung, Christian; Mamandipoor, Behrooz; Fjølner, Jesper; Bruno, Raphael; Wernly, Bernhard; Artigas, Antonio; Bollen Pinto, Bernardo; Schefold, Joerg C;; Disease-course adapting machine learning prognostication models in critically ill elderly COVID-19 patients: a multi-centre cohort study with external validation; in JMIR MEDICAL INFORMATICS; 10.2196/32949; 2022-03-29; https://medinform.jmir.org/2022/3/e32949/.

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Sequences 2010-2019 HDF5; in None; 10.5281/zenodo.3865889; 2022-06-10; None.

Giazzi, Marco; Peressutti, Gianandrea; Cerri, Luca; Fumi, Matteo; Francesca Riva, Isabella; Chini, Andrea; Ferrari, Gianluca; Cioni, Guido; Franch, Ga; Meteonetwork: An Open Crowdsourced Weather Data System; in ATMOSPHERE; 10.3390/atmos13060928; 2022-06-10; https://www.mdpi.com/2073-4433/13/6/928.

Franch, Gabriele; Deep Learning for Spatiotemporal Nowcasting; in None; 10.15168/11572_295096; 2022-06-10; https://iris.unitn.it/handle/11572/295096.

Bhattacharyya, Anirban; Sheikhalishahi, Seyedmostafa; Torbic, Heather; Yeung, Wesley; Wang, Tiffany; Birst, Jennifer; Duggal, Abhijit; Celi, Leo Antho; Delirium prediction in the ICU: designing a screening tool for preventive interventions; in JAMIA OPEN; 10.1093/jamiaopen/ooac048; 2022-06-10; https://academic.oup.com/jamiaopen/article/5/2/ooac048/6605167.

Levi Mortera, Stefano; Vernocchi, Pamela; Basadonne, Ilaria; Zandonà, Alessandro; Chierici, Marco; Durighello, Martina; Marzano, Valeria; Gardini, Sim; A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders; in JOURNAL OF PROTEOMICS; 10.1016/j.jprot.2021.104407; 2022-06-21; https://www.sciencedirect.com/science/article/abs/pii/S1874391921003067.

Muñoz, Sergio; Iglesias, Carlos Á.; Mayora, Oscar; Osmani, Venet; Prediction of stress levels in the workplace using surrounding stress; in INFORMATION PROCESSING & MANAGEMENT; 10.1016/j.ipm.2022.103064; 2022-08-29; https://www.sciencedirect.com/science/article/pii/S0306457322001650.

Minnai, Francesca; Noci, Sara; Chierici, Marco; Cotroneo, Chiara; Bartolini, Barbara; Incarbone, Matteo; Tosi, Davide; Mattioni, Giovanni; Jurman, Giu; Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients’ non‐involved lung tissue; in CANCER SCIENCE; 10.1111/cas.15591; 2022-09-20; https://onlinelibrary.wiley.com/doi/10.1111/cas.15591.

Marchesi, Raffaele; Micheletti, Nicolo; Jurman, Giuseppe; Osmani, Venet; Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data; in None; 10.48550/arXiv.2210.13958; 2022-10-28; https://openreview.net/forum?id=Ib-8gIymC1.

Chicco, D.; Jurman, G.; An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence; in FRONTIERS IN ROBOTICS AND AI; 10.3389/frobt.2022.876814; 2022-10-28; https://www.frontiersin.org/articles/10.3389/frobt.2022.876814/full.

2021

Chierici, Marco;Francescatto, Margherita;Furlanello, Cesare;Jurman, Giuseppe; A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency; in «GENOME BIOLOGY»; Vol 22; 2021; pp 111

Bussola, Nicole;Marcolini, Alessia;Maggio, Valerio;Jurman, Giuseppe;Furlanello, Cesare; AI Slipping on Tiles: Data Leakage in Digital Pathology; in « LECTURE NOTES IN COMPUTER SCIENCE»; Vol 12661>; 2021; pp 182

Chicco, Davide; Jurman, Giuseppe; Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease; in « IEEE ACCESS»; Vol 9>; 2021; pp 78648 - 78657

Monaco, Simone; Bussola, Nicole; Butto, Sara; Sona, Diego; Apiletti, Daniele; Jurman, Giuseppe; Viola, Elisa; Chierici, Marco; Xinaris, Christodoulos; Viola, Vincenzo; Cyst segmentation on kidney tubules by means of U-Net deep-learning models; in « Proceedings of 2021 IEEE International Conference on Big Data (Big Data)»; Proceedings of 2021 IEEE International Conference on Big Data (Big Data); 2021; pp 3923 - 3926

Bussola, Nicole; Papa, Bruno; Melaiu, Ombretta; Castellano, Aurora; Fruci, Doriana; Jurman, Giuseppe; Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology; in « INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES»; Vol 22>; 2021; pp 8804

Chicco, Davide; Starovoitov, Valery; Jurman, Giuseppe; The benefits of the Matthews correlation coefficient ({MCC}) over the diagnostic odds ratio ({DOR}) in binary classification assessment; in « IEEE ACCESS» ; Vol 9>; 2021; pp 47112 - 47124-

Chicco, Davide; Warrens, Matthijs J.; Jurman, Giuseppe; The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation; in «PEERJ. COMPUTER SCIENCE. » ; Vol 7>; 2021; pp 3623

Chicco, Davide; Warrens, Matthijs J.; Jurman, Giuseppe; The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment; in «IEEE ACCESS »; Vol 9>; 2021; pp 78368 - 78381

Chicco, Davide; Tötsch, Niklas; Jurman, Giuseppe; The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation; in «BIODATA MINING » ; Vol 14>; 2021; pp

Valente, Martina; Pica, Giuseppe; Bondanelli, Giulio; Moroni, Monica; Runyan, Caroline A.; Morcos, Ari S.; Harvey, Christopher D.; Panzeri, Stefano; Correlations enhance the behavioral readout of neural population activity in association cortex; in « NATURE NEUROSCIENCE»; Vol 24>; 2021; pp 975 - 986

Doria, S; Valeri, F; Lasagni, L; Sanguineti, V; Ragonesi, R; Akbar, Mu; Gnerucci, A; Del Bue, A; Marconi, A; Risaliti, G; Grigioni, M; Miele, V; Sona, D; Taddeucci, A; Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study ; in «PHYSICA MEDICA »; Vol 83>; 2021; pp 88 - 100

Soda, Paolo; Claudia D’Amico, Natascha; Tessadori, Jacopo; Valbusa, Giovanni; Guarrasi, Valerio; Bortolotto, Chandra; Usman Akbar, Muhammad; Sicilia, Rosa; Cordelli, Ermanno; Fazzini, Deborah; Cellina, Michaela; Oliva, Giancarlo; Callea, Giovanni; Panella, Silvia; Cariati, Maurizio; Cozzi, Diletta; Miele, Vittorio; Stellato, Elvira; Carrafiello, Gianpaolo; Castorani, Giulia; Simeone, Annalisa; Preda, Lorenzo; Iannello, Giulio; Del Bue, Alessio; Tedoldi, Fabio; Alí, Marco; Sona, Diego; Papa, Sergio; AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study; in « MEDICAL IMAGE ANALYSIS»; Vol 74>; 2021; pp 102216

Tessadori, Jacopo; Yamin, Muhammad Abubakar; Valsasina, Paola; Filippi, Massimo; Rocca, Maria A.; Sona, Diego; Dynamic Functional Connectivity For The Classification Of Multiple Sclerosis Phenotype: A Hidden Markov Model Approach; in «Proceedings of 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) »; 2021; pp 559 - 562

Yamin, Muhammad Abubakar; Valsasina, Paola; Dayan, Michael; Vascon, Sebastiano; Tessadori, Jacopo; Filippi, Massimo; Murino, Vittorio; Rocca, Maria A.; Sona, Diego; Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification; in «Proceedings of 25th International Conference on Pattern Recognition (ICPR) »; 2021; pp 10106 - 10112

Iandolo, Riccardo; Semprini, Marianna; Sona, Diego; Mantini, Dante; Avanzino, Laura; Chiappalone, Michela; Investigating the spectral features of the brain meso-scale structure at rest; in « HUMAN BRAIN MAPPING»; Vol 42>; 2021; pp 5113 - 5129

Akbar, Muhammad Usman; Murino, Vittorio; Sona, Diego; Multimodal Segmentation of Medical Images with Heavily Missing Data; in « Proceedings of 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) »; 2021; pp 1 - 4

Akbar, Muhammad Usman; Yamin, Muhammad Abubakar; Murino, Vittorio; Sona, Diego; Organ Segmentation with Recursive Data Augmentation for Deep Models; in « Proceedings of Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021.»; Vol 12661>; 2021; pp 337 - 343

Crimi, A; Dodero, L; Sambataro, F; Murino, V; Sona, D; Structurally constrained effective brain connectivity; in «NEUROIMAGE »; Vol 239>; 2021; pp 118288

Hati, Avik; Bustreo, Matteo; Sona, Diego; Murino, Vittorio; Del Bue, Alessio; Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans; in « Proceedings of 2020 25th International Conference on Pattern Recognition (ICPR) »; 2021; pp 5565 - 5572

Chicco, Davide; Jurman, Giuseppe; An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis; in IEEE ACCESS; 10.1109/ACCESS.2021.3057196; 2021-02-06; https://ieeexplore.ieee.org/document/9347427.

Bussola, Nicole; Marcolini, Alessia; Maggio, Valerio; Jurman, Giuseppe; Furlanello, Cesare; AI Slipping on Tiles: Data Leakage in Digital Pathology; in None; 10.1007/978-3-030-68763-2_13; 2021-02-23; https://link.springer.com/chapter/10.1007/978-3-030-68763-2_13.

Caranti, A.; Jurman, G.; Quotients of maximal class of thin Lie algebras. The odd characteristic case; in COMMUNICATIONS IN ALGEBRA; 10.1080/00927879908826789; 2021-03-11; https://www.tandfonline.com/doi/abs/10.1080/00927879908826789.

Talitckii, Aleksandr; Anikina, Anna; Kovalenko, Ekaterina; Mayora, Oscar; Osmani, Venet; Zimniakova, Olga; Semenov, Maxim; Bril, Ekaterina; Dylov, Dmi; Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage; in None; 10.1145/3421937.3421953; 2021-03-21; https://dl.acm.org/doi/10.1145/3421937.3421953.

Wernly, Bernhard; Bruno, Raphael Romano; Frutos-Vivar, Fernando; Peñuelas, Oscar; Rezar, Richard; Raymondos, Konstantinos; Muriel, Alfonso; Du, Bin; T; Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients; in RESPIRATORY CARE; 10.4187/respcare.08547; 2021-03-21; http://rc.rcjournal.com/content/66/5/814.

Sabetzadeh, Mehrdad; Vogelsang, Andreas; Abualhaija, Sallam; Borg, Markus; Dalpiaz, Fabiano; Daneva, Maya; Fernandez, Nelly C.; Franch, Xavier; Fucci,; Joint Proceedings of REFSQ-2020 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 26th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2020); in None; None; 2021-03-29; http://ceur-ws.org/Vol-2584.

Nardini, Christine; Osmani, Venet; Cormio, Paola G; Frosini, Andrea; Turrini, Mauro; Lionis, Christos; Neumuth, Thomas; Ballensiefen, Wolfgang; Borgon; The evolution of personalized healthcare and the pivotal role of European regions in its implementation; in PERSONALIZED MEDICINE; 10.2217/pme-2020-0115; 2021-04-08; https://www.futuremedicine.com/doi/10.2217/pme-2020-0115.

Jones, Wendell; Gong, Binsheng; Novoradovskaya, Natalia; Li, Dan; Kusko, Rebecca; Richmond, Todd A.; Johann, Donald J.; Bisgin, Halil; Sahraeian, Saye; A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency; in GENOME BIOLOGY; 10.1186/s13059-021-02316-z; 2021-04-18; https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02316-z.

Mamandipoor, Behrooz; Frutos-Vivar, Fernando; Peñuelas, Oscar; Rezar, Richard; Raymondos, Konstantinos; Muriel, Alfonso; Du, Bin; Thille, Arnaud W; Rí; Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation; in BMC MEDICAL INFORMATICS AND DECISION MAKING; 10.1186/s12911-021-01506-w; 2021-05-10; https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01506-w.

Muñoz de las Heras, A.; Franchi, R.; Biasi, S.; Ghulinyan, M.; Pavesi, L.; Carusotto, I.; Nonlinearity-Induced Reciprocity Breaking in a Single Nonmagnetic Taiji Resonator; in PHYSICAL REVIEW APPLIED; 10.1103/PhysRevApplied.15.054044; 2021-05-24; https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.15.054044.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Evidence for Higgs boson decays to a low-mass dilepton system and a photon in pp collisions at s=13 {TeV} with the {ATLAS} detector; in PHYSICS LETTERS. SECTION B; 10.1016/j.physletb.2021.136412; 2021-06-29; https://www.sciencedirect.com/science/article/pii/S037026932100352X.

Mamandipoor, Behrooz; Yeung, Wesley; Agha-Mir-Salim, Louis; Stone, David J.; Osmani, Venet; Celi, Leo Anthony; Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study; in JOURNAL OF CLINICAL MONITORING AND COMPUTING; 10.1007/s10877-021-00739-4; 2021-07-05; https://link.springer.com/article/10.1007/s10877-021-00739-4.

Chicco, Davide; Warrens, Matthijs J.; Jurman, Giuseppe; The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation; in PEERJ. COMPUTER SCIENCE.; 10.7717/peerj-cs.623; 2021-07-08; https://peerj.com/articles/cs-623/.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Observation and Measurement of Forward Proton Scattering in Association with Lepton Pairs Produced via the Photon Fusion Mechanism at ATLAS; in PHYSICAL REVIEW LETTERS; 10.1103/PhysRevLett.125.261801; 2021-07-08; https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.125.261801.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Search for lepton-flavor-violation in $Z$-boson decays with $ au$-leptons with the ATLAS detector; in NATURE PHYSICS; 10.1038/s41567-021-01225-z; 2021-07-08; https://www.nature.com/articles/s41567-021-01225-z.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Search for squarks and gluinos in final states with jets and missing transverse momentum using 139 fb$^{-1}$ of $sqrt{s}$ =13 TeV $pp$ collision data with the ATLAS detector; in JOURNAL OF HIGH ENERGY PHYSICS; 10.1007/JHEP02(2021)143; 2021-07-08; https://link.springer.com/article/10.1007/JHEP02(2021)143.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Medium-Induced Modification of $Z$-Tagged Charged Particle Yields in $Pb+Pb$ Collisions at 5.02 TeV with the ATLAS Detector; in PHYSICAL REVIEW LETTERS; 10.1103/PhysRevLett.126.072301; 2021-07-08; https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.072301.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Measurements of Higgs bosons decaying to bottom quarks from vector boson fusion production with the ATLAS experiment at $sqrt{s}=13, ext {TeV}$; in THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS; 10.1140/epjc/s10052-021-09192-8; 2021-07-08; https://link.springer.com/article/10.1140/epjc/s10052-021-09192-8.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Search for Dark Matter Produced in Association with a Dark Higgs Boson Decaying into $W^pm W^mp$ or $ZZ$ in Fully Hadronic Final States from $sqrt{s}=13$ TeV pp Collisions Recorded with the ATLAS Detector; in PHYSICAL REVIEW LETTERS; 10.1103/PhysRevLett.126.121802; 2021-07-08; https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.121802.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Search for heavy resonances decaying into a pair of Z bosons in the ℓ+ℓ−ℓ′+ℓ′− and ℓ+ℓ−νν¯ final states using 139 fb−1 of proton–proton collisions at s√=13TeV with the ATLAS detector; in THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS; 10.1140/epjc/s10052-021-09013-y; 2021-07-08; https://link.springer.com/article/10.1140/epjc/s10052-021-09013-y.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Search for new phenomena in events with an energetic jet and missing transverse momentum in pp collisions at √s=13TeV with the ATLAS detector; in PHYSICAL REVIEW D; 10.1103/PhysRevD.103.112006; 2021-07-08; https://journals.aps.org/prd/abstract/10.1103/PhysRevD.103.112006.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Search for pair production of scalar leptoquarks decaying into first- or second-generation leptons and top quarks in proton extendash{}proton collisions at $sqrt{s}$ = 13 TeV with the ATLAS detector; in THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS; 10.1140/epjc/s10052-021-09009-8; 2021-07-08; https://link.springer.com/article/10.1140/epjc/s10052-021-09009-8.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Search for new phenomena in events with two opposite-charge leptons, jets and missing transverse momentum in pp collisions at $ sqrt{mathrm{s}} $ = 13 TeV with the ATLAS detector; in JOURNAL OF HIGH ENERGY PHYSICS; 10.1007/JHEP04(2021)165; 2021-07-08; https://link.springer.com/article/10.1007/JHEP04(2021)165.

Aad, G.; Abbott, B.; Abbott, D. C.; Abed Abud, A.; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abouzeid, O. S.; Abraham, N. L.; Abramowicz, H.; Ab; Observation of photon-induced W+W− production in pp collisions at sqrt{s}=13 TeV using the ATLAS detector; in PHYSICS LETTERS. SECTION B; 10.1016/j.physletb.2021.136190; 2021-07-08; https://www.sciencedirect.com/science/article/pii/S0370269321001301.

Bruno, Raphael Romano; Wernly, Bernhard; Mamandipoor, Behrooz; Rezar, Richard; Binnebössel, Stephan; Baldia, Philipp Heinrich; Wolff, Georg; Kelm, Mal; ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock; in FRONTIERS IN MEDICINE; 10.3389/fmed.2021.697884; 2021-07-09; http://venetosmani.com/publications/ICU-Mortality_in_Old_and_Very_Old_Patients_Suffering_From_Sepsis_and_Septic_Shock.pdf.

Gios, Lorenzo; Crema Falceri, Giulia; Micocci, Stefano; Patil, Luigi; Testa, Sara; Sforzin, Simona; Turra, Ettore; Conforti, Diego; Malfatti, Giulia; ; Use of eHealth Platforms and Apps to Support Monitoring and Management of Home-Quarantined Patients With COVID-19 in the Province of Trento, Italy: App Development and Implementation; in JMIR FORMATIVE RESEARCH; 10.2196/25713; 2021-07-14; None.

Gong, Binsheng; Li, Dan; Kusko, Rebecca; Novoradovskaya, Natalia; Zhang, Yifan; Wang, Shangzi; Pabón-Peña, Carlos; Zhang, Zhihong; Lai, Kevin; Cai, Wa; Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions; in GENOME BIOLOGY; 10.1186/s13059-021-02315-0; 2021-07-21; None.

Matic, Aleksandar; Maxhuni, Alban; Osmani, Venet; Mayora, Oscar; Virtual uniforms: using sound frequencies for grouping individuals; in None; 10.1145/2494091.2494144; 2021-08-10; https://dl.acm.org/doi/10.1145/2494091.2494144.

Osmani, Venet; Balasubramaniam, Sasitharan; Botvich, Dmitri; A Bayesian Network and Rule-Base Approach Towards Activity Inference; in None; 10.1109/VETECF.2007.67; 2021-08-10; https://ieeexplore.ieee.org/document/4349716.

Osmani, Venet; Balasubramaniam, Sasitharan; Botvich, Dmitri; Human activity recognition in pervasive health-care: Supporting efficient remote collaboration; in JOURNAL OF NETWORK AND COMPUTER APPLICATIONS; 10.1016/j.jnca.2007.11.002; 2021-08-10; https://www.sciencedirect.com/science/article/abs/pii/S1084804507000719.

Kujundžić Tiljak, Mirjana; Klarica, Marijan; Reiner, Željko; Borovečki, Ana; Vradenburg, George; Anić, Branimir; Đogaš, Zoran; Mitrečić, Dinko; Martin; Policy Paper on Healthy Ageing; in LIJECNICKI VJESNIK; 10.26800/LV-142-Suppl1-6; 2021-08-17; https://venetosmani.com/publications/Policy_Paper_on_Healthy_Ageing-BFHA2020.pdf.

Gruenerbl, Agnes; Osmani, Venet; Bahle, Gernot; Carrasco, Jose C.; Oehler, Stefan; Mayora, Oscar; Haring, Christian; Lukowicz, Paul; Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients; in None; 10.1145/2582051.2582089; 2021-08-24; https://dl.acm.org/doi/10.1145/2582051.2582089.

Matic, Aleksandar; Papliatseyeu, Andrei; Osmani, Venet; Mayora-Ibarra, Oscar; Tuning to your position: FM radio based indoor localization with spontaneous recalibration; in None; 10.1109/PERCOM.2010.5466981; 2021-08-24; None.

Osmani, Venet; Maxhuni, Alban; Grünerbl, Agnes; Lukowicz, Paul; Haring, Christian; Mayora, Oscar; Monitoring activity of patients with bipolar disorder using smart phones; in None; 10.1145/2536853.2536882; 2021-08-24; https://dl.acm.org/doi/10.1145/2536853.2536882.

Popleteev, Andrei; Osmani, Venet; Mayora, Oscar; Investigation of indoor localization with ambient FM radio stations; in None; 10.1109/PerCom.2012.6199864; 2021-08-24; https://ieeexplore.ieee.org/document/6199864.

Alvarez-Lozano, Jorge; Osmani, Venet; Mayora, Oscar; Frost, Mads; Bardram, Jakob; Faurholt-Jepsen, Maria; Kessing, Lars Vedel; Tell me your apps and I will tell you your mood; in None; 10.1145/2674396.2674408; 2021-08-24; https://dl.acm.org/doi/10.1145/2674396.2674408.

Matic, Aleksandar; Osmani, Venet; Maxhuni, Alban; Mayora, Oscar; Multi-Modal Mobile Sensing of Social Interactions; in None; 10.4108/icst.pervasivehealth.2012.248689; 2021-08-24; None.

Bussola, Nicole; Papa, Bruno; Melaiu, Ombretta; Castellano, Aurora; Fruci, Doriana; Jurman, Giuseppe; Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology; in INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES; 10.3390/ijms22168804; 2021-08-25; https://www.mdpi.com/1422-0067/22/16/8804.

Matic, Aleksandar; Osmani, Venet; Mayora-Ibarra, Oscar; Analysis of Social Interactions Through Mobile Phones; in MOBILE NETWORKS AND APPLICATIONS; 10.1007/s11036-012-0400-4; 2021-08-25; None.

Matic, Aleksandar; Popleteev, Andrei; Osmani, Venet; Mayora-Ibarra, Oscar; FM radio for indoor localization with spontaneous recalibration; in PERVASIVE AND MOBILE COMPUTING; 10.1016/j.pmcj.2010.08.005; 2021-08-25; https://www.sciencedirect.com/science/article/abs/pii/S1574119210000817.

Matic, A; Mehta, P; Rehg, J M; Osmani, V; Mayora, O; Monitoring dressing activity failures through RFID and video; in METHODS OF INFORMATION IN MEDICINE; 10.3414/ME10-02-0026; 2021-08-26; https://www.thieme-connect.de/products/ejournals/abstract/10.3414/ME10-02-0026.

Matic, Aleksandar; Osmani, Venet; Mayora, Oscar; Speech activity detection using accelerometer; in None; 10.1109/EMBC.2012.6346377; 2021-08-25; https://ieeexplore.ieee.org/document/6346377.

Carreras, Iacopo; Matic, Aleksandar; Saar, Piret; Osmani, Venet; Comm2Sense: Detecting proximity through smartphones; in None; 10.1109/PerComW.2012.6197489; 2021-08-25; https://ieeexplore.ieee.org/document/6197489.

Arnrich, Bert; Osmani, Venet; Bardram, Jakob; Mental health and the impact of ubiquitous technologies; in PERSONAL AND UBIQUITOUS COMPUTING; 10.1007/s00779-011-0464-3; 2021-08-25; https://link.springer.com/article/10.1007/s00779-011-0464-3.

Papliatseyeu, Andrei; Kotilainen, Niko; Mayora, Oscar; Osmani, Venet; FINDR: Low-Cost Indoor Positioning Using FM Radio; in None; 10.1007/978-3-642-01802-2_2; 2021-08-25; https://link.springer.com/chapter/10.1007/978-3-642-01802-2_2.

Papliatseyeu, Andrei; Osmani, Venet; Mayora, Oscar; Indoor Positioning Using FM Radio; in INTERNATIONAL JOURNAL OF HANDHELD COMPUTING RESEARCH; 10.4018/jhcr.2010070102; 2021-08-25; None.

Matic, Aleksandar; Mehta, Priyal; Rehg, James M.; Osmani, Venet; Mayora, Oscar; AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation; in None; 10.4108/ICST.PERVASIVEHEALTH2010.8895; 2021-08-25; None.

Osmani, Venet; Zhang, Daqing; Balasubramaniam, Sasitharan; Human activity recognition supporting context-appropriate reminders for elderly; in None; 10.4108/ICST.PERVASIVEHEALTH2009.6056; 2021-08-25; None.

Matic, Aleksandar; Osmani, Venet; Popleteev, Andrei; Mayora-Ibarra, Oscar; Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes; in None; 10.1007/978-3-642-24279-3_21; 2021-08-25; https://link.springer.com/chapter/10.1007/978-3-642-24279-3_21.

Maxhuni, Alban; Hernandez-Leal, Pablo; Morales, Eduardo F.; Sucar, L. Enrique; Osmani, Venet; Muńoz-Meléndez, Angelica; Mayora, Oscar; Using Intermediate Models and Knowledge Learning to Improve Stress Prediction; in None; 10.1007/978-3-319-49622-1_16; 2021-08-25; https://link.springer.com/chapter/10.1007/978-3-319-49622-1_16.

Mayora, Oscar; Frost, Mads; Arnrich, Bert; Gravenhorst, Franz; Grunerbl, Agnes; Muaremi, Amir; Osmani, Venet; Puiatti, Alessandro; Reichwaldt, Nina; S; Mobile Health Systems for Bipolar Disorder; in INTERNATIONAL JOURNAL OF HANDHELD COMPUTING RESEARCH; 10.4018/ijhcr.2014010101; 2021-08-25; None.

Popleteev, Andrei; Osmani, Venet; Mayora, Oscar; Matic, Aleksandar; Indoor Localization Using Audio Features of FM Radio Signals; in None; 10.1007/978-3-642-24279-3_26; 2021-08-25; https://link.springer.com/chapter/10.1007/978-3-642-24279-3_26.

Matic, Aleksandar; Osmani, Venet; Mayora, Oscar; Automatic Sensing of Speech Activity and Correlation with Mood Changes; in None; 10.1007/978-3-642-32538-0_9; 2021-08-25; None.

Maxhuni, Alban; Matic, Aleksandar; Osmani, Venet; Mayora, Oscar; Correlation Between Self-Reported Mood States and Objectively Measured Social Interactions at Work: A Pilot Study; in None; 10.4108/icst.pervasivehealth.2011.246136; 2021-08-25; None.

Carrington, André M.; Manuel, Douglas G.; Fieguth, Paul W.; Ramsay, Tim; Osmani, Venet; Wernly, Bernhard; Bennett, Carol; Hawken, Steven; Mcinnes, Mat; Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation; in None; None; 2021-08-26; http://arxiv.org/abs/2103.11357v1.

Velichkovska, Bojana; Gjoreski, Hristijan; Denkovski, Daniel; Kalendar, Marija; Celi, Leo Anthnoy; Osmani, Venet; Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning; in None; 10.1101/2021.09.01.21262949; 2021-09-06; https://www.medrxiv.org/content/10.1101/2021.09.01.21262949.

Danninger, Thomas; Rezar, Richard; Mamandipoor, Behrooz; Dankl, Daniel; Koköfer, Andreas; Jung, Christian; Wernly, Bernhard; Osmani, Venet; Underweight but not overweight is associated with excess mortality in septic ICU patients; in WIENER KLINISCHE WOCHENSCHRIFT; 10.1007/s00508-021-01912-0; 2021-09-21; None.

Matic, Aleksandar; Osmani, Venet; Mayora, Oscar; RFID-Based System for Tracking People: Approaches to Tagging Demented Patients; in None; 10.1007/978-3-642-23902-1_8; 2021-09-27; https://link.springer.com/chapter/10.1007/978-3-642-23902-1_8.

Lukan, Junoš; Bolliger, Larissa; Clays, Els; Mayora, Oscar; Osmani, Venet; Luštrek, Mitja; Participants’ Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers; in None; 10.1145/3460418.3479367; 2021-09-28; https://dl.acm.org/doi/10.1145/3460418.3479367.

Semmler, Georg; Wernly, Sarah; Wernly, Bernhard; Mamandipoor, Behrooz; Bachmayer, Sebastian; Semmler, Lorenz; Aigner, Elmar; Datz, Christian; Osmani, ; Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma; in JOURNAL OF PERSONALIZED MEDICINE; 10.3390/jpm11100981; 2021-09-30; https://www.mdpi.com/2075-4426/11/10/981.

Semmler, Georg; Wernly, Sarah; Wernly, Bernhard; Mamandipoor, Behrooz; Bachmayer, Sebastian; Semmler, Lorenz; Aigner, Elmar; Datz, Christian; Osmani, ; Gastroenterologist against the machine-opportunities and limitations of machine learning models for prediction of advanced adenoma; in ZEITSCHRIFT FUR GASTROENTEROLOGIE; 10.1055/s-0041-1734270; 2021-10-01; None.

Franchi, Riccardo; Biasi, Stefano; de Las Heras, Alberto Muñoz; Ghulinyan, Mher; Carusotto, Iacopo; Pavesi, Lorenzo; Influence of the bus waveguide on the linear and nonlinear response of a taiji microresonator; in OPTICS EXPRESS; 10.1364/OE.434239; 2021-12-10; https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-29-19-29615&id=458313.

Franchi, Riccardo; Vecchi, Chiara; Ghulinyan, Mher; Pavesi, Lorenzo; Electric Field Induced Second Harmonic Generation In Silicon Waveguides: the role of the disorder; in None; 10.1109/CLEO/Europe-EQEC52157.2021.9541919; 2021-12-16; None.

2020

Chicco, Davide; Jurman, Giuseppe; The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation; in «BMC GENOMICS»; Vol. 21>; 2020; pp.

Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare; Predictability of drug-induced liver injury by machine learning; in «BIOLOGY DIRECT»; Vol. 15>; 2020; pp.

Franch, Gabriele; Nerini, Daniele; Pendesini, Marta; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events; in «ATMOSPHERE»; Vol. 11>; 2020; pp.

Chicco, Davide; Jurman, Giuseppe; Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone; in «BMC MEDICAL INFORMATICS AND DECISION MAKING»; Vol. 20>; 2020; pp.

Gesualdo, Francesco; D'Ambrosio, Angelo; Agricola, Eleonora; Russo, Luisa; Campagna, Ilaria; Ferretti, Beatrice; Pandolfi, Elisabetta; Cristoforetti, Marco; Tozzi, Alberto E; Rizzo, Caterina; How do Twitter users react to TV broadcasts dedicated to vaccines in Italy?; in «EUROPEAN JOURNAL OF PUBLIC HEALTH»; 2020; pp.

Boldrini, Renata; De Pasquale Maria, Debora; Melaiu, Ombretta; Chierici, Marco; Jurman, Giuseppe; De Benedetti Maria, Chiara; Salfi Nunzio, C; Castellano, Aurora; Collini, Paola; Furlanello, Cesare; Pistoia, Vito; Cifaldi, Loredana; Terenziani, Monica; Fruci, Doriana; Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors; in «ONCOIMMUNOLOGY»; Vol. 8>; 2019; pp.

Alikadic, Azra; Pertot, Ilaria; Eccel, Emanuele; Dolci, Claudia; Zarbo, Calogero; Caffarra, Amelia; De Filippi, Riccardo; Furlanello, Cesare; The impact of climate change on grapevine phenology and the influence of altitude: A regional study; in «AGRICULTURAL AND FOREST METEOROLOGY»; Vol. 271>; 2019; pp. 73-82

Alexander Baranov; Vladimir Sleptsov; Alexey Nefedov; Andrey Varfolomeev; S.S. Franchenko; Lucia Calliari; Giorgio Speranza; Mariano Ferrari; Alessand; Erbium Photoluminescence in Hydrogenated Amorphous Carbon; in PHYSICA STATUS SOLIDI B-BASIC RESEARCH; None; None; None.

Giuseppe Jurman;Cesare Furlanello; Application of Artificial Intelligence in Targeting Retinal Diseases; in « CURRENT DRUG TARGETS»; Vol 21>; 2020; pp

Melaiu, Ombretta; Chierici, Marco; Lucarini, Valeria; Jurman, Giuseppe; Conti, Libenzio; De Vito, Rita; Boldrini, Renata; Cifaldi, Loredana; Castellano, Aurora; Furlanello, Cesare; Barnaba, Vincenzo; Locatelli, Franco; Furci, Doriana; Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma; in « NATURE COMMUNICATIONS» ; Vol 11>; 2020; pp 5992

Verstraete, Nina; Jurman, Giuseppe; Bertagnolli, Giulia; Ghavasieh, Arsham; Pancaldi, Vera; De Domenico, Manlio; CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19; in « NETWORK AND SYSTEMS MEDICINE»;Vol 3>; 2020; pp 130-141

Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescatto, Margherita; Zandonà, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, Giuseppe; Furlanello, Cesare; Integrative Network Fusion: a multi-omics approach in molecular profiling; in « FRONTIERS IN ONCOLOGY»; Vol 10>; 2020; pp 1065

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Scans 2010-2016; in None; 10.5281/zenodo.3577451; 2019-12-30; https://doi.org/10.5281/zenodo.3577451.

Chicco, Davide; Jurman, Giuseppe; The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation; in BMC GENOMICS; 10.1186/s12864-019-6413-7; 2020-01-15; None.

Chicco, Davide; Jurman, Giuseppe; Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone; in BMC MEDICAL INFORMATICS AND DECISION MAKING; 10.1186/s12911-020-1023-5; 2020-02-07; None.

Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare; Predictability of drug-induced liver injury by machine learning; in BIOLOGY DIRECT; 10.1186/s13062-020-0259-4; 2020-02-13; https://biologydirect.biomedcentral.com/articles/10.1186/s13062-020-0259-4.

Maxhuni, Alban; Hernadez-Leal, Pablo; Morales, Eduardo F.; Sucar, Enrique; Osmani, Venet; Mayora, Oscar; Unobtrusive Stress Assessment Using Smartphones; in IEEE TRANSACTIONS ON MOBILE COMPUTING; 10.1109/TMC.2020.2974834; 2020-02-20; https://ieeexplore.ieee.org/document/9001213.

Mamandipoor, Behrooz; Majd, Mahshid; Sheikhalishahi, Seyedmostafa; Modena, Claudio; Osmani, Venet; Monitoring and detecting faults in wastewater treatment plants using deep learning; in ENVIRONMENTAL MONITORING AND ASSESSMENT; 10.1007/s10661-020-8064-1; 2020-02-28; None.

Brown, Peter; Tan, Aik-Choon; El-Esawi, Mohamed A.; Liehr, Thomas; Blanck, Oliver; Gladue, Douglas P.; Almeida, Gabriel M. F.; Cernava, Tomislav; Sorz; Large expert-curated database for benchmarking document similarity detection in biomedical literature search; in DATABASE; 10.1093/database/baz085; 2020-05-16; https://academic.oup.com/database/article/doi/10.1093/database/baz085/5608006.

Xu, Fangcao; Cervone, Guido; Franch, Gabriele; Salvador, Mark; Multiple geometry atmospheric correction for image spectroscopy using deep learning; in JOURNAL OF APPLIED REMOTE SENSING; 10.1117/1.JRS.14.024518; 2020-06-10; https://www.spiedigitallibrary.org/journals/Journal-of-Applied-Remote-Sensing/volume-14/issue-2/024518/Multiple-geometry-atmospheric-correction-for-image-spectroscopy-using-deep-learning/10.1117/1.JRS.14.024518.short?SSO=1.

Mamandipoor, Behrooz; Majd, Mahshid; Moz, Monica; Osmani, Venet; Blood Lactate Concentration Prediction in Critical Care; in None; 10.3233/SHTI200125; 2020-06-24; http://ebooks.iospress.nl/publication/54127.

Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescatto, Margherita; Zandonà, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, G; Integrative Network Fusion: a multi-omics approach in molecular profiling; in FRONTIERS IN ONCOLOGY; 10.3389/fonc.2020.01065; 2020-06-30; https://www.frontiersin.org/articles/10.3389/fonc.2020.01065/abstract.

Saverio Sorrentino, Francesco; Jurman, Giuseppe; De Nadai, Katia; Campa, Claudio; Furlanello, Cesare; Parmeggiani, Francesco; Application of Artificial Intelligence in Targeting Retinal Diseases; in CURRENT DRUG TARGETS; 10.2174/1389450121666200708120646; 2020-07-09; https://www.eurekaselect.com/183553/article.

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Pendesini, Marta; Jurman, Giuseppe; Furlanello, Cesare; TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting; in SCIENTIFIC DATA; 10.1038/s41597-020-0574-8; 2020-07-13; https://www.nature.com/articles/s41597-020-0574-8.

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Sequences 2010-2019 NetCDF; in None; 10.5281/zenodo.3866204; 2020-07-13; https://doi.org/10.5281/zenodo.3866204.

Coviello, Luca; Cristoforetti, Marco; Jurman, Giuseppe; Furlanello, Cesare; GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs; in APPLIED SCIENCES; 10.3390/app10144870; 2020-07-16; https://www.mdpi.com/2076-3417/10/14/4870/htm.

Sheikhalishahi, Seyedmostafa; Balaraman, Vevake; Osmani, Venet; Benchmarking machine learning models on multi-centre eICU critical care dataset; in PLOS ONE; 10.1371/journal.pone.0235424; 2020-07-19; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235424.

Franchi, Riccardo; Castellan, Claudio; Ghulinyan, Mher; Pavesi, Lorenzo; Second-harmonic generation in periodically poled silicon waveguides with lateral p-i-n junctions; in OPTICS LETTERS; 10.1364/OL.391988; 2020-07-22; https://www.osapublishing.org/ol/abstract.cfm?uri=ol-45-12-3188.

Wernly, Bernhard; Bruno, Raphael Romano; Mamandipoor, Behrooz; Jung, Christian; Osmani, Venet; Sex-specific outcomes and management in critically ill septic patients; in EUROPEAN JOURNAL OF INTERNAL MEDICINE; 10.1016/j.ejim.2020.10.009; 2020-10-12; https://www.ejinme.com/article/S0953-6205(20)30386-1/fulltext.

Chicco, Davide; Jurman, Giuseppe; Survival prediction of patients with sepsis from age, sex, and septic episode number alone; in SCIENTIFIC REPORTS; 10.1038/s41598-020-73558-3; 2020-10-13; https://www.nature.com/articles/s41598-020-73558-3.

Wernly, Bernhard; Mamandipoor, Behrooz; Baldia, Philipp; Jung, Christian; Osmani, Venet; Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation; in INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS; 10.1016/j.ijmedinf.2020.104312; 2020-10-26; https://www.sciencedirect.com/science/article/pii/S138650562030976X.

Verstraete, Nina; Jurman, Giuseppe; Bertagnolli, Giulia; Ghavasieh, Arsham; Pancaldi, Vera; De Domenico, Manlio; CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19; in NETWORK AND SYSTEMS MEDICINE; 10.1089/nsm.2020.0011; 2020-11-20; https://www.liebertpub.com/doi/10.1089/nsm.2020.0011.

Melaiu, Ombretta; Chierici, Marco; Lucarini, Valeria; Jurman, Giuseppe; Conti, Libenzio; De Vito, Rita; Boldrini, Renata; Cifaldi, Loredana; Castellan; Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma; in NATURE COMMUNICATIONS; 10.1038/s41467-020-19781-y; 2020-10-28; https://www.nature.com/articles/s41467-020-19781-y.

Bruno, Raphael Romano; Wernly, Bernhard; Binneboessel, Stephan; Baldia, Philipp; Duse, Dragos Andrei; Erkens, Ralf; Kelm, Malte; Mamandipoor, Behrooz;; Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients; in DIAGNOSTICS; 10.3390/diagnostics10121105; 2020-12-24; https://www.mdpi.com/2075-4418/10/12/1105.

2019

Furlanello, Cesare; Jurman, Giuseppe; Dolci, Claudia; Villani, Rachele; Gadotti, Erik; Venuti, Paola; IV Talent Education 2019; Talents and technology: training the artificial intelligence generation; in «Talent Education 2019»; Ljubljana; MIB; 2019; pp. 31-35

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Sequences 2010-2019; 2019; pp.

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Scans 2017-2019; 2019; pp.

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Scans 2010-2016; 2019; pp.

Jurman, Giuseppe; Filosi, Michele; Visintainer, Roberto; Riccadonna, Samantha; Furlanello, Cesare; Stability in GRN inference; in «Gene Regulatory Networks: Methods and Protocols, Methods in Molecular Biology»; Vol. 786>; 2019; pp. 323-346

Jurman, Giuseppe; Seasonal Linear Predictivity in National Football Championships; in «BIG DATA»; Vol. 7>; 2019; pp. 21-34

Yin, Xinmao; Tang, Chi Sin; Zeng, Shengwei; Asmara, Teguh Citra; Yang, Ping; Naradipa, M. Avicenna; Trevisanutto, Paolo E.; Shirakawa, Tomonori; Kim, Beom Hyun; Yunoki, Seiji; Breese, Mark B. H.; Venkatesan, Thirumalai; Wee, Andrew T. S.; Ariando, Ariando; Rusydi, Andrivo; Quantum Correlated Plasmons and Their Tunability in Undoped and Doped Mott-Insulator Cuprates; in «ACS PHOTONICS»; Vol. 6>; 2019; pp. 3281-3289

Zheng, Yu Jie; Chen, Yifeng; Huang, Yu Li; Gogoi, Pranjal Kumar; Li, Ming-Yang; Li, Lain-Jong; Trevisanutto, Paolo E; Wang, Qixing; Pennycook, Stephen J; Wee, Andrew T S; Quek, Su Ying; Point Defects and Localized Excitons in 2D WSe2; in «ACS NANO»; Vol. 13>; 2019; pp. 6050-6059

Chierici, Marco; Giulini, Marco; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare; Machine learning models for predicting endocrine disruption potential of environmental chemicals; in JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART C, ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS; 10.1080/10590501.2018.1537155; 2019-01-10; https://www.tandfonline.com/doi/abs/10.1080/10590501.2018.1537155?journalCode=lesc20.

Maggio, Valerio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare; Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma; in PLOS ONE; 10.1371/journal.pone.0208924; 2019-02-25; None.

Melaiu, Ombretta; Boldrini, Renata; Chierici, Marco; Furlanello, Cesare; Fruci, Doriana; Clinical relevance of tumor-infiltrating immune cells in neuroblastoma; in CANCER IMMUNOLOGY RESEARCH; 10.1158/2326-6074.TUMIMM17-B37; 2019-03-17; http://cancerimmunolres.aacrjournals.org/content/6/9_Supplement/B37.

Jurman, Giuseppe; Seasonal Linear Predictivity in National Football Championships; in BIG DATA; 10.1089/big.2018.0076; 2019-03-19; None.

Ferdous, Raihana; Osmani, Venet; Oscar, Mayora-Ibarra; Smartphone apps usage patterns as a predictor of perceived stress levels at workplace; in None; None; 2019-03-26; None.

Bizzego, Andrea; Bussola, Nicole; Chierici, Marco; Maggio, Valerio; Francescatto, Margherita; Cima, Luca; Cristoforetti, Marco; Jurman, Giuseppe; Furl; Evaluating reproducibility of AI algorithms in digital pathology with DAPPER; in PLOS COMPUTATIONAL BIOLOGY; 10.1371/journal.pcbi.1006269; 2019-03-28; None.

Sheikhalishahi, Seyedmostafa; Miotto, Riccardo; Dudley, Joel T; Lavelli, Alberto; Rinaldi, Fabio; Osmani, Venet; Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review; in JMIR MEDICAL INFORMATICS; 10.2196/12239; 2019-06-03; None.

Abada, A.; Abbrescia, M.; Abdussalam, S. S.; Abdyukhanov, I.; Fernandez, J. Abelleira; Abramov, A.; Aburaia, M.; Acar, A. O.; Adzic, P. R.; Agrawal, P; FCC Physics Opportunities; in THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS; 10.1140/epjc/s10052-019-6904-3; 2019-09-12; https://link.springer.com/article/10.1140/epjc/s10052-019-6904-3.

Castellan, Claudio; Franchi, Riccardo; Biasi, Stefano; Bernard, Martino; Ghulinyan, Mher; Pavesi, Lorenzo; Field-Induced Nonlinearities in Silicon Waveguides Embedded in Lateral p-n Junctions; in FRONTIERS IN PHYSICS; 10.3389/fphy.2019.00104; 2019-09-17; https://www.frontiersin.org/articles/10.3389/fphy.2019.00104/full.

Bizzego, A.; Bussola, N.; Salvalai, D.; Chierici, M.; Maggio, V.; Jurman, G.; Furlanello, C.; Integrating deep and radiomics features in cancer bioimaging; in None; 10.1109/CIBCB.2019.8791473; 2019-09-26; https://ieeexplore.ieee.org/document/8791473.

Furlanello, Cesare; Jurman, Giuseppe; Dolci, Claudia; Villani, Rachele; Gadotti, Erik; Venuti, Paola; Talents and technology: training the artificial intelligence generation; in None; None; 2019-11-04; None.

Polano, Maurizio; Chierici, Marco; Dal Bo, Michele; Gentilini, Davide; Di Cintio, Federica; Baboci, Lorena; Gibbs, David L.; Furlanello, Cesare; Toffo; A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning; in CANCERS; 10.3390/cancers11101562; 2019-12-03; None.

Franch, Gabriele; Jurman, Giuseppe; Coviello, Luca; Pendesini, Marta; Furlanello, Cesare; MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives; in REMOTE SENSING; 10.3390/rs11242922; 2019-12-06; https://doi.org/10.3390/rs11242922.

Bhattacharyya, Anirban; Sheikhalishahi, Seyedmostafa; Dugar, Siddharth; Krishnan, Sudhir; Duggal, Abhijit; Osmani, Venet; Predicting delirium risk for the following 24 hours in critically ill patients using deep learning; in CRITICAL CARE MEDICINE; 10.1097/01.ccm.0000619952.70488.fb; 2019-12-19; https://journals.lww.com/ccmjournal/Citation/2020/01001/400__PREDICTING_DELIRIUM_RISK_FOR_THE_FOLLOWING_24.366.aspx.

Franch, Gabriele; Nardelli, Andrea; Zarbo, Calogero; Maggio, Valerio; Jurman, Giuseppe; Furlanello, Cesare; Deep Learning for rain and lightning nowcasting; in None; 10.5281/zenodo.3594325; 2019-12-30; https://doi.org/10.5281/zenodo.3594325.

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Scans 2017-2019; in None; 10.5281/zenodo.3591396; 2019-12-30; https://doi.org/10.5281/zenodo.3591396.

Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Sequences 2010-2019; in None; 10.5281/zenodo.3591404; 2019-12-30; https://doi.org/10.5281/zenodo.3591404.

2018

Mangioni, Giuseppe; Jurman, Giuseppe; De Domenico, Manlio; Multilayer flows in molecular networks identify biological modules in the human proteome; in «IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING»; Vol. 7>; 2018; pp. 411-420

Francescatto, Margherita; Chierici, Marco; Rezvan Dezfooli, Setareh; Zandonà, Alessandro; Jurman, Giuseppe; Furlanello, Cesare; Multi-omics integration for neuroblastoma clinical endpoint prediction; in «BIOLOGY DIRECT»; Vol. 13>; 2018; pp.

Rossi, C.; Acerbo, F. S.; Ylinen, K.; Juga, I.; Nurmi, P.; Bosca, A.; Tarasconi, F.; Cristoforetti, M.; Alikadic, A.; Early detection and information extraction for weather-induced floods using social media streams; in «INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION»; Vol. 30>; 2018; pp. 145-157

Mohammadian Rad, Nastaran; Kia, Seyed Mostafa; Zarbo, Calogero; van Laarhoven, Twan; Jurman, Giuseppe; Venuti, Paola; Marchiori, Elena; Furlanello, Cesare; Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders; in «SIGNAL PROCESSING»; Vol. 144>; 2018; pp. 180-191

Melaiu, Ombretta; Boldrini, Renata; Chierici, Marco; Furlanello, Cesare; Fruci, Doriana; Clinical relevance of tumor-infiltrating immune cells in neuroblastoma; in «Abstracts: AACR Special Conference on Tumor Immunology and Immunotherapy»; 2018; pp. 1

Mohammadian Rad, Nastaran; Kia, Seyed Mostafa; Zarbo, Calogero; van Laarhoven, Twan; Jurman, Giuseppe; Venuti, Paola; Marchiori, Elena; Furlanello, Ce; Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders; in SIGNAL PROCESSING; 10.1016/j.sigpro.2017.10.011; 2018-01-30; https://www.sciencedirect.com/science/article/pii/S0165168417303705?via=ihub.

Osmani, Venet; Forti, Stefano; Oscar, Mayora; Conforti, Diego; Enabling Prescription-based Health Apps; in None; 10.1145/3154862.3154911; 2018-02-23; https://dl.acm.org/citation.cfm?doid=3154862.3154911.

Osmani, Venet; Forti, Stefano; Mayora, Oscar; Conforti, Diego; Challenges and opportunities in evolving TreC personal health record platform; in None; 10.1145/3154862.3154910; 2018-02-23; https://dl.acm.org/citation.cfm?doid=3154862.3154910.

Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare; Phylogenetic convolutional neural networks in metagenomics; in BMC BIOINFORMATICS; 10.1186/s12859-018-2033-5; 2018-03-12; https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2033-5.

Jurman, Giuseppe; Maggio, Valerio; Landi, Isotta; Francescatto, Margherita; Chierici, Marco; De Domenico, Manlio; Furlanello, Cesare; omicsCNN: a general deep learning framework for omics data modeling and classification; in HUMAN GENOMICS; 10.1186/s40246-018-0138-6; 2018-04-11; None.

Sabatelli, Matthia; Osmani, Venet; Grunerbl, Agnes; Lukowicz, Paul; Oscar, Mayora; Correlation of significant places with self-reported state of patients with bipolar disorder; in None; 10.1109/MOBIHEALTH.2014.7015923; 2018-06-22; https://ieeexplore.ieee.org/document/7015923/.

Garcia-Ceja, Enrique; Osmani, Venet; Maxhuni, Alban; Oscar, Mayora; Detecting Walking in Synchrony through Smartphone Accelerometer and Wi-Fi traces; in None; 10.1007/978-3-319-14112-1_3; 2018-06-22; https://link.springer.com/chapter/10.1007/978-3-319-14112-1_3.

Oscar, Mayora; Osmani, Venet; From Ubiquitous Computing to Human Aware Networking: Exploiting the Know-how of Ubicomp Research for Improving Networked-User Experience; in None; None; 2018-06-28; https://dl.acm.org/citation.cfm?id=2762744.

Matic, Aleksandar; Osmani, Venet; Oscar, Mayora; Mobile Monitoring of Formal and Informal Social Interactions at Workplace; in None; 10.1145/2638728.2641287; 2018-06-28; https://dl.acm.org/citation.cfm?id=2641287.

Osmani, Venet; Carreras, Iacopo; Matic, Aleksandar; Saar, Piret; An Analysis of Distance Estimation to Detect Proximity in Social Interactions; in JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING; 10.1007/s12652-012-0171-6; 2018-07-09; https://link.springer.com/article/10.1007/s12652-012-0171-6.

Matic, Aleksandar; Osmani, Venet; Oscar, Mayora-Ibarra; Trade-offs in Monitoring Social Interactions; in IEEE COMMUNICATIONS MAGAZINE; 10.1109/MCOM.2013.6553687; 2018-07-09; https://ieeexplore.ieee.org/document/6553687/.

Osmani, Venet; Oscar, Mayora-Ibarra; Mohamed Rasheed, Tinku; Salvadori, E.; Realising Anticipatory Networks Through Human Aware Networking; in None; None; 2018-07-12; http://technodocbox.com/65828157-Computer_Networking/Proceedings-of-the-1st-kuvs-workshop-on-anticipatory-networks-september-29-30-2014-stuttgart-germany.html.

Franch, Xavier; Ralyté, Jolita; Perini, Anna; Abelló, Alberto; Ameller, David; Gorroñogoitia, Jesús; Nadal, Sergi; Oriol, Marc; Seyff, Norbert; Siena,; A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method; in LECTURE NOTES IN ARTIFICIAL INTELLIGENCE; 10.1007/978-3-319-91563-0_37; 2018-11-01; None.

Mangioni, Giuseppe; Jurman, Giuseppe; De Domenico, Manlio; Multilayer flows in molecular networks identify biological modules in the human proteome; in IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING; 10.1109/tnse.2018.2871726; 2018-11-01; https://ieeexplore.ieee.org/document/8472785.

Ruiz, Elias; Osmani, Venet; Sucar, L. Enrique; Mayora, Oscar; Detecting dressing failures using temporal–relational visual grammars; in JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING; 10.1007/s12652-018-0975-0; 2018-11-02; https://link.springer.com/article/10.1007/s12652-018-0975-0.

Osmani, Venet; Li, Li; Danieletto, Matteo; Glicksberg, Benjamin; Dudley, Joel; Mayora, Oscar; Automatic processing of Electronic Medical Records using Deep Learning; in None; 10.1145/3240925.3240961; 2018-11-02; https://dl.acm.org/citation.cfm?doid=3240925.3240961.

Jurman, Giuseppe; Filosi, Michele; Visintainer, Roberto; Riccadonna, Samantha; Furlanello, Cesare; Stability in GRN inference; in None; None; 2018-11-05; https://www.springer.com/us/book/9781493988815.

Boldrini, Renata; De Pasquale Maria, Debora; Melaiu, Ombretta; Chierici, Marco; Jurman, Giuseppe; De Benedetti Maria, Chiara; Salfi Nunzio, C; Castell; Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors; in ONCOIMMUNOLOGY; 10.1080/2162402X.2018.1542245; 2018-11-05; https://www.tandfonline.com/doi/abs/10.1080/2162402X.2018.1542245?journalCode=koni20.

2017

Shi, Leming; Kusko, Rebecca; Wolfinger, Russell D; Haibe-Kains, Benjamin; Fischer, Matthias; Sansone, Susanna-Assunta; Mason, Christopher E; Furlanello, Cesare; Jones, Wendell D; Ning, Baitang; Tong, Weida; The international MAQC Society launches to enhance reproducibility of high-throughput technologies; in «NATURE BIOTECHNOLOGY»; Vol. 35>; 2017; pp. 1127-1128

Mohammadian Rad, Nastaran; Kia, Seyed Mostafa; Zarbo, Calogero; Jurman, Giuseppe; Venuti, Paola; Furlanello, Cesare; Stereotypical Motor Movement Detection in Dynamic Feature Space; in None; 10.1109/ICDMW.2016.0076; 2017-03-16; http://ieeexplore.ieee.org/document/7836707/.

A., Grunerbl; A., Muaremi; Osmani, Venet; G., Bahle; S., Oehler; G., Troester; Mayora Ibarra, Oscar Arturo; C., Haring; P., Lukowicz; Smartphone Based Recognition of States and State Changes in Bipolar Disorder Patients; in IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS; 10.1109/JBHI.2014.2343154; 2017-03-22; http://ieeexplore.ieee.org/document/6866115/.

F., Gravenhorst; A., Muaremi; J., Bardram; A., Gruenerbl; Mayora Ibarra, Oscar Arturo; G., Wurzer; M., Frost; Osmani, Venet; B., Arnrich; P., Lukowicz; Mobile Phones as Medical Devices in Mental Disorder Treatment: an overview; in PERSONAL AND UBIQUITOUS COMPUTING; 10.1007/s00779-014-0829-5; 2017-03-22; https://link.springer.com/article/10.1007/s00779-014-0829-5.

E., Garcia Ceja; Osmani, Venet; Mayora Ibarra, Oscar Arturo; Automatic Stress Detection in Working Environments from Smartphones Accelerometer Data: A First Step; in IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS; 10.1109/JBHI.2015.2446195; 2017-03-28; None.

Osmani, Venet; Smartphones in Mental Health: Detecting Depressive and Manic Episodes; in IEEE PERVASIVE COMPUTING; 10.1109/MPRV.2015.54; 2017-03-28; http://ieeexplore.ieee.org/document/7140674/.

Maxhuni, Alban; A., Munoz Melendez; Osmani, Venet; H., Perez; Mayora Ibarra, Oscar Arturo; E., Morales; Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients; in PERVASIVE AND MOBILE COMPUTING; 10.1016/j.pmcj.2016.01.008; 2017-03-29; http://www.sciencedirect.com/science/article/pii/S1574119216000109.

Maxhuni, Alban; P., Hernandez Leal; L. E., Sucar; Osmani, Venet; E. F., Morales; Mayora Ibarra, Oscar Arturo; Stress Modelling and Prediction in Presence of Scarce Data; in JOURNAL OF BIOMEDICAL INFORMATICS; 10.1016/j.jbi.2016.08.023; 2017-04-03; http://www.sciencedirect.com/science/article/pii/S1532046416301095.

Melaiu, Ombretta; Mina, Marco; Chierici, Marco; Boldrini, Renata; Jurman, Giuseppe; Romania, Paolo; D'Alicandro, Valerio; Benedetti, Maria Chiara; Cas; PD-L1 is a therapeutic target of the Bromodomain inhibitor JQ1 and, combined with HLA class I, a promising prognostic biomarker in neuroblastoma; in CLINICAL CANCER RESEARCH; 10.1158/1078-0432.CCR-16-2601; 2017-04-10; None.

Gnani, Daniela; Romito, Ilaria; Artuso, Simona; Chierici, Marco; De Stefanis, Cristiano; Panera, Nadia; Crudele, Annalisa; Ceccarelli, Sara; Carcarino; Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog 2; in CELL DEATH AND DIFFERENTIATION; 10.1038/cdd.2017.34; 2017-04-10; https://www.nature.com/cdd/journal/v24/n5/full/cdd201734a.html.

Ferdous, Raihana; Osmani, Venet; Beltran Marquez, J.; Mayora Ibarra, Oscar Arturo; Investigating correlation between verbal interactions and perceived stress; in None; 10.1109/EMBC.2015.7318683; 2017-07-10; http://ieeexplore.ieee.org/document/7318683/.

Ferdous, Raihana; Osmani, Venet; Mayora Ibarra, Oscar Arturo; Smartphone app usage as a predictor of perceived stress levels at workplace; in None; 10.4108/icst.pervasivehealth.2015.260192; 2017-07-31; http://ieeexplore.ieee.org/document/7349403/.

Hernandez Leal, Pablo; Maxhuni, Alban; Sucar, Enrique; Osmani, Venet; Morales, Eduardo F.; Mayora Ibarra, Oscar Arturo; Stress Modelling Using Transfer Learning in Presence of Scarce Data; in None; None; 2017-08-11; https://link.springer.com/chapter/10.1007/978-3-319-26508-7_22.

2016

Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman; Entropy-based gene ranking without selection bias for the predictive classification of microarray data; in BMC BIOINFORMATICS; None; 2016-11-16; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-4-54.

Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare; The HIM glocal metric and kernel for network comparison and classification; in None; 10.1109/DSAA.2015.7344816; 2016-03-29; http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7344816&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7344816.

De Mariano, Marilena; Gallesio, Roberta; Chierici, Marco; Furlanello, Cesare; Conte, Massimo; Garaventa, Alberto; Croce, Michela; Ferrini, Silvano; To; Identification of GALNT14 as a novel neuroblastoma predisposition gene; in ONCOTARGET; 10.18632/oncotarget.4501; 2016-03-29; None.

Mina, Marco; Magi, Shigeyuki; Jurman, Giuseppe; Itoh, Masayoshi; Kawaji, Hideya; Lassmann, Timo; Arner, Erik; Forrest, Alistair R. R; Carninci, Piero;; Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells; in SCIENTIFIC REPORTS; 10.1038/srep11999; 2016-03-29; http://www.nature.com/articles/srep11999.

Gobbi, Andrea; Jurman, Giuseppe; A null model for pearson coexpression networks; in PLOS ONE; 10.1371/journal.pone.0128115; 2016-03-29; http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128115.

Zhang, Wenqian; Yu, Ying; Hertwig, Falk; Thierry Mieg, Jean; Zhang, Wenwei; Thierry Mieg, Danielle; Wang, Jian; Furlanello, Cesare; Devanarayan, Viswa; Comparison of RNA-seq and microarray-based models for clinical endpoint prediction; in GENOME BIOLOGY; 10.1186/s13059-015-0694-1; 2016-03-29; None.

Franch, Xavier; Susi, Angelo; Risk assessment in open source systems; in None; 10.1145/2889160.2891052; 2016-11-04; http://doi.acm.org/10.1145/2889160.2891052.

Levi Mortera, Stefano; Del Chierico, Federica; Vernocchi, Pamela; Rosado, Maria M.; Cavola, Agnese; Chierici, Marco; Pieroni, Luisa; Urbani, Andrea; C; Monitoring perinatal gut microbiota in mouse models by mass spectrometry approaches: parental genetic background and breastfeeding effects; in FRONTIERS IN MICROBIOLOGY; 10.3389/fmicb.2016.01523; 2016-11-07; http://journal.frontiersin.org/article/10.3389/fmicb.2016.01523/full.

Jurman, Giuseppe; Metric projection for dynamic multiplex networks; in HELIYON; 10.1016/j.heliyon.2016.e00136; 2016-11-08; None.

Riccadonna, Samantha; Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Furlanello, Cesare; DTW-MIC Coexpression Networks from Time-Course Data; in PLOS ONE; 10.1371/journal.pone.0152648; 2016-11-08; None.

Jurman, Giuseppe; Filosi, Michele; Riccadonna, Samantha; Visintainer, Roberto; Furlanello, Cesare; Differential network analysis and graph classification: a glocal approach; in None; None; 2016-11-08; http://link.springer.com/chapter/10.1007/978-3-319-45723-9_2.

Iorio, Francesco; Bernardo Faura, Marti; Gobbi, Andrea; Cokelaer, Thomas; Jurman, Giuseppe; Saez Rodriguez, Julio; Efficient randomization of biological networks while preserving functional characterization of individual nodes; in BMC BIOINFORMATICS; 10.1186/s12859-016-1402-1; 2016-12-21; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1402-1.

2015

Gaddi, R.; Gnudi, A.; Franchi, E.; Bellei, Marco; Tin, L. Del; Iannacci, Jacopo; Tortori, P.; Guermandi, D.; Margesin, Benno; Giacomozzi, Flavio; Reconfigurable RF-MEMS LC-tanks for multi-band radiofrequency oscillators; in None; None; 2015-09-24; None.

Costal, Dolors; Lopez, Lidia; Morandini, Mirko; Siena, Alberto; Annosi, Maria Carmela; Gross, Daniel; Mendez, Lucia; Franch, Xavier; Susi, Angelo; Aligning Business Goals and Risks in OSS Adoption; in None; 10.1007/978-3-319-25264-3_3; 2015-10-16; http://dx.doi.org/10.1007/978-3-319-25264-3_3.

2014

Merler, Stefano; Jurman, Giuseppe; A Combinatorial Model of Malware Diffusion via Bluetooth Connections; in PLOS ONE; 10.1371/journal.pone.0059468; 2014-03-04; http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0059468.

Filosi, Michele; Visintainer, Roberto; S., Riccadonna; Jurman, Giuseppe; Furlanello, Cesare; Stability Indicators in Network Reconstruction; in PLOS ONE; None; 2014-03-04; None.

D., Albanese; Filosi, Michele; Visintainer, Roberto; S., Riccadonna; Jurman, Giuseppe; Furlanello, Cesare; minepy and minerva: a C engine for the MINE suite and its Python, R and MATLAB wrappers; in BIOINFORMATICS; None; 2014-03-04; None.

A., Barla; Jurman, Giuseppe; Visintainer, Roberto; M., Squillario; Filosi, Michele; S., Riccadonna; Furlanello, Cesare; A Machine Learning Pipeline for Discriminant Pathways Identification; in LECTURE NOTES IN COMPUTER SCIENCE; 10.1007/978-3-642-35686-5_4; 2014-03-04; None.

P. E., Corneo; A., Pellegrini; L., Cappellin; M., Roncador; Chierici, Marco; C., Gessler; I., Pertot; Microbial community structure in vineyard soils across altitudinal gradients and in different seasons.; in FEMS MICROBIOLOGY ECOLOGY; None; 2014-03-04; None.

Costanzo, A.; Bartolini, S.; Benini, L.; Di Stefano, L.; Farella, Elisabetta; Franchi, A.; Masotti, D.; Mattarozzi, S.; Milosevic, Bojan; Nannini, V.;; Merging RFID, visual and gesture recognition technologies to generate and manage smart environments; in None; 10.1109/RFID-TA.2011.6068594; 2014-03-11; None.

Gobbi, Andrea; F., Iorio; K. J., Dawson; D. C., Wedge; D., Tamborero; L. B., Alexandrov; N., Lopez Bigas; M. J., Garnett; Jurman, Giuseppe; J., Saez R; Fast randomization of large genomics datasets while preserving alteration counts; in BIOINFORMATICS; None; 2014-08-26; None.

Alistair R. R., Forrest; Hideya, Kawaji; Michael, Rehli; J., Kenneth Baillie; Michiel J. L., de Hoon; Vanja, Haberle; Timo, Lassmann; Ivan V., Kulakov; A promoter-level mammalian expression atlas; in NATURE; None; 2014-09-17; None.

Zhenqiang, Su; Paweł P., Łabaj; Sheng, Li; Jean Thierry, Mieg; Danielle Thierry, Mieg; Wei, Shi; Charles, Wang; Gary P., Schroth; Robert A., Setterqui; A comprehensive assessment of RNA-Seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium; in NATURE BIOTECHNOLOGY; None; 2014-09-17; None.

C., Wang; B., Gong; P. R., Bushel; J., Thierry Mieg; D., Thierry Mieg; J., Xu; H., Fang; H., Hong; J., Shen; Z., Su; J., Meehan; X., Li; L., Yang; H.,; The concordance between RNA-Seq and microarray data depends on chemical treatment and transcript abundance; in NATURE BIOTECHNOLOGY; None; 2014-09-17; None.

D., Fay; A. W., Moore; K., Brown; Filosi, Michele; Jurman, Giuseppe; Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation; in JOURNAL OF COMPLEX NETWORKS; 10.1093/comnet/cnu009; 2014-10-20; None.

Ron S. Kenett;Xavier Franch;Angelo Susi;Nikolas Galanis; Adoption of Free Libre Open Source Software (FLOSS): A Risk Management Perspective2014 IEEE 38th Annual Computer Software and Applications Conference; in None; 10.1109/COMPSAC.2014.25; 2014-10-21; None.

Xavier Franch;Ron Kenett;Fabio Mancinelli;Angelo Susi;David Ameller;Ron Ben-Jacob;Alberto Siena; A Layered Approach to Managing Risks in OSS Projects; in None; 10.1007/978-3-642-55128-4_23; 2014-10-21; None.

Franch X.; Perini A.; Seyff N.; Enabling Informed Decision Making Through Mobile Technologies: A Challenge for Software Engineering.; in None; None; 2014-11-20; http://www.springer.com/computer/swe/book/978-3-662-44919-6.

2013

Ayala C. P.; Franch X.; López L.; Morandini M.; Susi A.; Using i* to Represent OSS Ecosystems for Risk Assessment; in None; None; 2013-07-25; None.

Xavier Franch; Anna Perini; Hugo H. Pibernat and Norbert Seyff; Mobile Technologies to Enable Users’ Informed Decisions; in None; 10.5220/0004591903450353; 2013-10-08; None.

X. Franch; A. Susi; M. Annosi; C. Ayala; R. Glott; D. Gross; R. Kenett; F. Mancinelli; P. Ramsamy; C. Thomas; D. Ameller; S. Bannier; N. Bergida; Y. B; Managing Risk in Open Source Software Adoption; in None; None; 2013-12-20; None.

2012

C. Furlanello; R. de Filippi; C. Dolci; G. Jurman; Giovani e ricerca: il progetto WebValley; in FORM@RE; None; 2012-02-15; http://formare.erickson.it/wordpress/it/2011/giovani-e-ricerca-il-progetto-webvalley/.

Marc Oriol; Nauman A. Qureshi; Xavier Franch; Anna Perini; Jordi Marco; Requirements Monitoring for Adaptive Service-Based Applications; in None; None; 2012-03-08; None.

Gianluigi Pillonetto; Giuseppe De Nicolao; Marco Chierici; Claudio Cobelli; Fast algorithms for nonparametric population modeling of large data sets; in AUTOMATICA; None; 2012-05-03; None.

G. Jurman; S. Riccadonna; C. Furlanello; A comparison of MCC and CEN error measures in multi-class prediction; in PLOS ONE; None; 2012-07-02; None.

G. Jurman; S. Riccadonna; R. Visintainer; C. Furlanello; Algebraic Comparison of Partial Lists in Bioinformatics; in PLOS ONE; None; 2012-07-02; None.

B. di Camillo; T. Sanavia; M. Martini; G. Jurman; C. Furlanello; F. Sambo; A. Barla; M. Squillario; G. Toffolo; C. Cobelli; Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment; in PLOS ONE; None; 2012-07-02; None.

A. Barla; G. Jurman; R. Visintainer; M. Squillario; M. Filosi; S. Riccadonna; C. Furlanello; A Machine Learning Pipeline for Discriminant Pathways Identification; in None; None; 2012-07-02; None.

M. Chierici; D. Albanese; P. Franceschi; C. Furlanello; TOFwave: Reproducibility in Biomarker Discovery from time-of-flight Mass Spectrometry Data.; in MOLECULAR BIOSYSTEMS; 10.1039/C2MB25223F; 2012-09-17; None.

R. Sanz-Pamplona; A. Berenguer; D. Cordero; S. Riccadonna; X. Sole'; M. Crous-Bou; E. Guino'; X. Sanjuan; S. Biondo; A. Soriano; G. Jurman; G. Capella; Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review; in PLOS ONE; None; 2012-10-02; None.

2011

G. Franch; D. De Martini; Wireless mapping and localization in urban areas: a practical approach; in None; None; 2011-08-29; None.

A. Barla; G. Jurman; R. Visintainer; M. Squillario; M. Filosi; S. Riccadonna; C. Furlanello; A machine learning pipeline for discriminant pathways identification; in None; None; 2011-11-11; None.

G. Jurman; R. Visintainer; C. Furlanello; An introduction to spectral distances in networks; in None; None; 2011-11-11; None.

M. Grimaldi; R. Visintainer; G. Jurman; RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks; in PLOS ONE; None; 2011-11-14; None.

G. Guzzetta; G. Jurman; C. Furlanello; A machine learning pipeline for quantitative phenotype prediction from genotype data; in BMC BIOINFORMATICS; None; 2011-11-14; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-S8-S3.

G. Jurman; S. Riccadonna; R. Visintainer; C. Furlanello.; Canberra Distance on Ranked Lists; in None; None; 2011-11-14; http://web.mit.edu/shivani/www/Ranking-NIPS-09/Proceedings/proceedings.html.

S. Riccadonna; G. Jurman; S. Merler; S. Paoli; A. Quattrone; C. Furlanello.; Supervised classification of combined copy number and gene expression data.; in JOURNAL OF INTEGRATIVE BIOINFORMATICS; None; 2011-11-15; None.

G. Jurman; A. Barla; S. Riccadonna; C. Furlanello.; Classificazione predittiva per il profiling proteomico.; in None; None; 2011-11-15; None.

M. Cannataro; A. Barla; R. Flor; A. Gallo; G. Jurman; S. Merler; S. Paoli; G. Tradigo; P. Veltri; C. Furlanello; A grid environment for high-throughput proteomics.; in IEEE TRANSACTIONS ON NANOBIOSCIENCE; None; 2011-11-15; None.

S. Merler; G. Jurman; C. Furlanello.; Deriving the kernel from training data.; in None; None; 2011-11-15; None.

C. De Pitta' ; L. Tombolan; G. Albiero; F. Sartori; C. Romualdi; G. Jurman; M. Carli; C. Furlanello; G. Lanfranchi; A. Rosolen.; Gene expression profiling identifies potential relevant genes in alveolar rhabdomyosarcoma pathogenesis and discriminates PAX3-FKHR positive and negative tumors; in INTERNATIONAL JOURNAL OF CANCER; None; 2011-11-15; None.

C. Furlanello; S. Merler; G. Jurman.; Combining feature selection and DTW for time-varying functional genomics; in IEEE TRANSACTIONS ON SIGNAL PROCESSING; None; 2011-11-15; None.

A. Barla; B. Irler; S. Merler; G. Jurman; S. Paoli; C. Furlanello.; Proteome profiling without selection bias; in None; None; 2011-11-15; None.

S. Merler; G. Jurman; Terminated Ramp - Support Vector Machine: a nonparametric data dependent kernel; in NEURAL NETWORKS; None; 2011-11-15; http://www.sciencedirect.com/science/article/pii/S0893608006000219.

S. Paoli; G. Jurman; D. Albanese; S. Merler; C. Furlanello.; Semisupervised Profiling of Gene Expressions and Clinical Data.; in None; None; 2011-11-15; None.

S. Merler; C. Furlanello; G. Jurman.; Machine learning on historic air photographs for mapping risk of unexploded bombs; in None; None; 2011-11-15; None.

G. Jurman; Graded Lie algebras of maximal class, III.; in JOURNAL OF ALGEBRA; None; 2011-11-15; None.

2010

A. Barla; G. Jurman; S. Riccadonna; M. Chierici; S. Merler; C. Furlanello; Machine learning methods for predictive proteomics; in BRIEFINGS IN BIOINFORMATICS; 10.1093/bib/bbn008; 2010-06-03; http://bib.oxfordjournals.org/cgi/content/abstract/bbn008v1.

G. Jurman; S. Merler; A. Barla; S. Paoli; A. Galea; C. Furlanello; Algebraic stability indicators for ranked lists in molecular profiling; in BIOINFORMATICS; None; 2010-06-03; http://bioinformatics.oxfordjournals.org/cgi/content/short/btm550v1.

S. Paoli; G. Jurman; D. Albanese; S. Merler; C. Furlanello; Integrating gene expression profiling and clinical data; in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING; doi:10.1016/j.ijar.2007.03.012; 2010-06-03; http://portal.acm.org/citation.cfm?id=1322569.1322654.

Jaelson Brelaz de Castro; Xavier Franch; Anna Perini; Eric S. K. Yu; Proceedings of 3rd International i* Workshop (iStar 2008); in None; None; 2010-06-08; http://www.informatik.uni-trier.de/~ley/db/conf/istar/istar2008.html.

Carlos Cares; Xavier Franch; Anna Perini; Angelo Susi; Towards interoperability of i* models using iStarML; in COMPUTER STANDARDS & INTERFACES; 10.1016/j.csi.2010.03.005; 2010-07-06; None.

S. Merler; M. Ajelli; G. Jurman; C. Furlanello; C. Rizzo; A. Bella; M. Massari; M.L. Ciofi degli Atti; Modeling influenza pandemic in Italy: an individual based approach; in None; None; 2010-08-25; None.

M. Avitabile; G. Jurman; S. Mattarei; The structure of thin Lie algebras with characteristic two; in INTERNATIONAL JOURNAL OF ALGEBRA AND COMPUTATION; None; 2010-08-26; None.

W. Shi; M. Bessarabova; D. Dosymbekov; Z. Dezso; T. Nikolskaya; M. Dudoladova; T. Serebryiskaya; A. Bugrim; R.J. Brennan; R. Shah; J. Dopazo; M. Chen;; Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes; in PHARMACOGENOMICS JOURNAL; None; 2010-08-26; None.

L. Shi; G. Campbell; W. Jones; F. Campagne; Z. Wen; S. Walker; Z. Su; T. Chu; F. Goodsaid; L. Pusztai; J. Shaughnessy; A. Oberthuer; R. Thomas; R. Pau; The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models.; in NATURE BIOTECHNOLOGY; None; 2010-08-26; None.

M. Chierici; K. Miclaus; S. Vega; C. Furlanello; An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm.; in PHARMACOGENOMICS JOURNAL; None; 2010-08-26; None.

H. Hong; L. Shi; Z. Su; W. Ge; W. Jones; W. Czika; K. Miclaus; C. Lambert; S. Vega; J. Zhang; B. Ning; J. Liu; B. Green; L. Xu; H. Fang; R. Perkins; S; Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples.; in PHARMACOGENOMICS JOURNAL; None; 2010-08-26; None.

L. Zhang; S. Yin; K. Miclaus; M. Chierici; S. Vega; C. Lambert; H. Hong; R. Wolfinger; C. Furlanello; F. Goodsaid; Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC Coronary Artery Disease.; in PHARMACOGENOMICS JOURNAL; None; 2010-08-26; None.

K. Miclaus; M. Chierici; C. Lambert; L. Zhang; S. Vega; H. Hong; S. Yin; C. Furlanello; R. Wolfinger; F. Goodsaid; Variability in GWAS Analysis: the Impact of Genotype Calling Algorithm Inconsistencies.; in PHARMACOGENOMICS JOURNAL; None; 2010-08-26; None.

K. Miclaus; R. Wolfinger; S. Vega; M. Chierici; C. Furlanello; C. Lambert; H. Hong; L. Zhang; S. Yin; F. Goodsaid; Batch Effects in the BRLMM Genotype Calling Algorithm Influence GWAS Results for the Affymetrix 500K Array.; in PHARMACOGENOMICS JOURNAL; None; 2010-08-26; None.

Marta Luisa Ciofi degli Atti; Caterina Rizzo; Antonino Bella; Marco Massari; Mimmo Iannelli; Antonella Lunelli; Andrea Pugliese; Jordi Ripoll; Piero M; Modelling scenarios of diffusion and control of pandemic influenza, Italy; in EUROSURVEILLANCE; None; 2010-08-31; http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=3105.

R. Gaddi; A. Gnudi; E. Franchi; D. Guermandi ;P. Tortori;B. Margesin;F. Giacomozzi; Reconfigurable MEMS-enabled LC-tank for multi-band CMOS oscillator; in None; None; 2010-09-14; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1516932.

S. Merler; G. Jurman; C. Furlanello; C. Rizzo; A. Bella; M. Massari; M.L. Ciofi degli Atti; Strategies for containing an influenza pandemic: the case of italy; in None; None; 2010-09-22; None.

S. Merler; G. Jurman; C. Furlanello; C. Rizzo; A. Bella; M. Massari; M.L. Ciofi degli Atti; Strategies for containing an influenza pandemic: the case of italy; in None; None; 2010-09-24; None.

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