PUBLICATIONS

2023

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.

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.

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; 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.

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; 10.2174/1574893618666230406085947; 2023-04-17; https://www.eurekaselect.com/article/130726.

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.

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.

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.

Aad, G.; Abbott, B.; Abbott, D. C.; Abud, A. Abed; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Abramowicz, H.; Abreu, H.; Abulaiti, Y.; Abusleme H; Search for type-III seesaw heavy leptons in leptonic final states in pp collisions at s√=13 TeV with the ATLAS detector; in EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS; 10.1140/epjc/s10052-022-10785-0; 2023-01-16; https://link.springer.com/article/10.1140/epjc/s10052-022-10785-0.

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, Y; Abusleme; Observation of WWW Production in pp Collisions at sqrt[s]=13 TeV with the ATLAS Detector; in PHYSICAL REVIEW LETTERS; 10.1103/PhysRevLett.129.061803; 2023-01-16; https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.129.061803.

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; Search for invisible Higgs-boson decays in events with vector-boson fusion signatures using 139 fb−1 of proton-proton data recorded by the ATLAS experiment; in JOURNAL OF HIGH ENERGY PHYSICS; 10.1007/jhep08(2022)104; 2023-01-16; https://link.springer.com/article/10.1007/JHEP08(2022)104.

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 H; Search for long-lived charginos based on a disappearing-track signature using 136 fb−1 of pp collisions at s√ = 13 TeV with the ATLAS detector; in EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS; 10.1140/epjc/s10052-022-10489-5; 2023-01-16; https://link.springer.com/article/10.1140/epjc/s10052-022-10489-5.

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; Modelling and computational improvements to the simulation of single vector-boson plus jet processes for the ATLAS experiment; in JOURNAL OF HIGH ENERGY PHYSICS; 10.1007/jhep08(2022)089; 2023-01-16; https://link.springer.com/article/10.1007/JHEP08(2022)089.

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.

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; Search for neutral long-lived particles in pp collisions at s√ = 13 TeV that decay into displaced hadronic jets in the ATLAS calorimeter; in JOURNAL OF HIGH ENERGY PHYSICS; 10.1007/jhep06(2022)005; 2023-01-16; https://link.springer.com/article/10.1007/JHEP06(2022)005.

Aad, G.; Abbott, B.; Abbott, D. C.; Abud, A. Abed; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; Aboulhorma, A.; Abramowicz, H.; Abreu, H.; Abulaiti; Direct constraint on the Higgs–charm coupling from a search for Higgs boson decays into charm quarks with the ATLAS detector; in EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS; 10.1140/epjc/s10052-022-10588-3; 2023-01-16; https://link.springer.com/article/10.1140/epjc/s10052-022-10588-3.

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 H; Measurement of the nuclear modification factor for muons from charm and bottom hadrons in Pb+Pb collisions at 5.02 TeV with the ATLAS detector; in PHYSICS LETTERS. SECTION B; 10.1016/j.physletb.2022.137077; 2023-01-16; https://www.sciencedirect.com/science/article/pii/S0370269322002118.

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#.

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

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

2022

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.

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.

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.

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; 10.1186/s13040-022-00312-y; 2022-11-07; https://biodatamining.biomedcentral.com/articles/10.1186/s13040-022-00312-y.

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.

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.

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.

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.

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.

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.

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/.

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.

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.

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.

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.

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.

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.

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

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

2021

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.

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.

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.

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.

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.

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.

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.

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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

2020

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.

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.

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.

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; 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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; 10.3390/atmos11030267; 2020-03-09; https://doi.org/10.3390/atmos11030267.

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.

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.

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.

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.

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; 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.

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

2019

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 2010-2016; in None; 10.5281/zenodo.3577451; 2019-12-30; https://doi.org/10.5281/zenodo.3577451.

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.

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; 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.

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.

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.

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.

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.

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.

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.

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.

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.

Jurman, Giuseppe; Seasonal Linear Predictivity in National Football Championships; in BIG DATA; 10.1089/big.2018.0076; 2019-03-19; 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.

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.

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.

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

2018

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.

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.

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.

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.

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/.

Francescatto, Margherita; Chierici, Marco; Rezvan Dezfooli, Setareh; Zandonà, Alessandro; Jurman, Giuseppe; Furlanello, Cesare; Multi-omics integration for neuroblastoma clinical endpoint prediction; in BIOLOGY DIRECT; 10.1186/s13062-018-0207-8; 2018-05-02; None.

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.

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.

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.

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.

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

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

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.

2017

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.

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/.

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/.

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.

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.

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/.

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.

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.

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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