Giuseppe Jurman

82 papers B 3C 1Misc 1Journal 66Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation. PeerJ Comput. Sci. Davide Chicco, Simone Melzi, Francesca Gasparini, Giuseppe Jurman
2025	J	`jnl`	A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics. BioData Min. Davide Chicco, Andrea Sichenze, Giuseppe Jurman
2025	—	`conf`	AI-Based Modular Warning Machine for Risk Identification in Proximity Healthcare. MetroXRAINE Chiara Razzetta, Shahryar Noei, Federico Barbarossa, Edoardo Spairani, Monica Roascio, Elisa Barbi, Giulia Ciacci, Sara Sommariva, Sabrina Guastavino, Michele Piana, Matteo Lenge, Gabriele Arnulfo, Giovanni Magenes, Elvira Maranesi, Giulio Amabili, Anna Maria Massone, Federico Benvenuto, Giuseppe Jurman, Diego Sona, Cristina Campi
2025	J	`jnl`	AI-based modular warning machine for risk identification in proximity healthcare. CoRR Chiara Razzetta, Shahryar Noei, Federico Barbarossa, Edoardo Spairani, Monica Roascio, Elisa Barbi, Giulia Ciacci, Sara Sommariva, Sabrina Guastavino, Michele Piana, Matteo Lenge, Gabriele Arnulfo, Giovanni Magenes, Elvira Maranesi, Giulio Amabili, Anna Maria Massone, Federico Benvenuto, Giuseppe Jurman, Diego Sona, Cristina Campi
2025	J	`jnl`	Bottlenecks in advancing and applying multiomic data integration - common data resources as rate-limiting drivers - the high-impact use case of atherosclerotic cardiovascular disease. Briefings Bioinform. Stephanie Bezzina Wettinger, Kanita Karaduzovic-Hadziabdic, Ritienne Attard, Rosienne Farrugia, Brooke N. Wolford, Marco Chierici, Giuseppe Jurman, Panagiotis Alexiou, José L. Peñalvo, Rafael S. Costa, José Basilio, Frantisek Sabovcik, Rui Vitorino, Johannes A. Schmid, Rajesh Shigdel, Baiba Vilne, Artemis G. Hatzigeorgiou, Miron Sopic, Yvan Devaux, Paolo Magni, Maria Tellez-Plaza, David P. Kreil, Aleksandra Gruca
2025	J	`jnl`	Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper". PLoS Comput. Biol. Davide Chicco, Giuseppe Jurman
2025	J	`jnl`	Deconver: A Deconvolutional Network for Medical Image Segmentation. CoRR Pooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht, Jonathan H. Chen, Giuseppe Jurman, Aleksandra Pizurica, Sabine Van Huffel
2025	J	`jnl`	Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics. Briefings Bioinform. Jordi Martorell-Marugan, Raúl López-Domínguez, Juan Antonio Villatoro-García, Daniel Toro-Domínguez, Marco Chierici, Giuseppe Jurman, Pedro Carmona-Saez
2025	J	`jnl`	Generative AI mitigates representation bias and improves model fairness through synthetic health data. PLoS Comput. Biol. Raffaele Marchesi, Nicolo Micheletti, Nicholas I-Hsien Kuo, Sebastiano Barbieri, Giuseppe Jurman, Venet Osmani
2025	J	`jnl`	The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters. PeerJ Comput. Sci. Davide Chicco, Giuseppe Sabino, Luca Oneto, Giuseppe Jurman
2025	J	`jnl`	The Silhouette coefficient and the Davies-Bouldin index are more informative than Dunn index, Calinski-Harabasz index, Shannon entropy, and Gap statistic for unsupervised clustering internal evaluation of two convex clusters. PeerJ Comput. Sci. Davide Chicco, Andrea Campagner, Andrea Spagnolo, Davide Ciucci, Giuseppe Jurman
2025	J	`jnl`	The Venus score for the assessment of the quality and trustworthiness of biomedical datasets. BioData Min. Davide Chicco, Alessandro Fabris, Giuseppe Jurman
2024	—	`conf`	Scoring Tumor-Infiltrating Lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach. COMPAY@MICCAI Matteo Pozzi, Natalie Klubickova, Michela Campora, Frédérique Meeuwsen, Joey Spronck, Carlijn M. Lems, Michelle Stegeman, Leslie Tessier, Mattia Barbareschi, Jeroen van der Laak, Giuseppe Jurman, Francesco Ciompi
2023	J	`jnl`	A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index. J. Biomed. Informatics Davide Chicco, Giuseppe Jurman
2023	J	`jnl`	Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data. Comput. Biol. Medicine Jordi Martorell-Marugan, Marco Chierici, Giuseppe Jurman, Marta E. Alarcón-Riquelme, Pedro Carmona-Saez
2023	J	`jnl`	Endoscopy-based IBD identification by a quantized deep learning pipeline. BioData Min. Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi, Antonio Colangelo, Marcello Dorian Donzella, Giuseppe Jurman
2023	J	`jnl`	Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData Min. Davide Chicco, Tiziana Sanavia, Giuseppe Jurman
2023	J	`jnl`	Ten simple rules for providing bioinformatics support within a hospital. BioData Min. Davide Chicco, Giuseppe Jurman
2023	J	`jnl`	The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData Min. Davide Chicco, Giuseppe Jurman
2022	J	`jnl`	A brief survey of tools for genomic regions enrichment analysis. Frontiers Bioinform. Davide Chicco, Giuseppe Jurman
2022	J	`jnl`	An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence. Frontiers Robotics AI Davide Chicco, Giuseppe Jurman
2022	J	`jnl`	Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. BMC Medical Informatics Decis. Mak. Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani, Giuseppe Jurman
2022	J	`jnl`	Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data. CoRR Raffaele Marchesi, Nicolo Micheletti, Giuseppe Jurman, Venet Osmani
2022	J	`jnl`	The ABC recommendations for validation of supervised machine learning results in biomedical sciences. Frontiers Big Data Davide Chicco, Giuseppe Jurman
2022	J	`jnl`	Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. BioData Min. Davide Chicco, Abbas Alameer, Sara Rahmati, Giuseppe Jurman
2022	J	`jnl`	histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing. SoftwareX Alessia Marcolini, Nicole Bussola, Ernesto Arbitrio, Mohamed Amgad, Giuseppe Jurman, Cesare Furlanello
2021	J	`jnl`	An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis. IEEE Access Davide Chicco, Giuseppe Jurman
2021	J	`jnl`	Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease. IEEE Access Davide Chicco, Giuseppe Jurman
2021	—	`conf`	Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola
2021	J	`jnl`	The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment. IEEE Access Davide Chicco, Valery Starovoitov, Giuseppe Jurman
2021	J	`jnl`	The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment. IEEE Access Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
2021	J	`jnl`	The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. BioData Min. Davide Chicco, Niklas Tötsch, Giuseppe Jurman
2021	J	`jnl`	The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Comput. Sci. Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
2020	—	`conf`	AI Slipping on Tiles: Data Leakage in Digital Pathology. ICPR Workshops (1) Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
2020	J	`jnl`	Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC Medical Informatics Decis. Mak. Davide Chicco, Giuseppe Jurman
2020	J	`jnl`	Multilayer Flows in Molecular Networks Identify Biological Modules in the Human Proteome. IEEE Trans. Netw. Sci. Eng. Giuseppe Mangioni, Giuseppe Jurman, Manlio De Domenico
2019	J	`jnl`	Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS Comput. Biol. Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
2019	J	`jnl`	High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning. CoRR Andrea Gobbi, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
2019	J	`jnl`	In-field grape berries counting for yield estimation using dilated CNNs. CoRR Luca Coviello, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
2019	C	`conf`	Integrating deep and radiomics features in cancer bioimaging. CIBCB Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
2019	J	`jnl`	MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives. Remote. Sens. Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello
2019	J	`jnl`	MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive. CoRR Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello
2019	J	`jnl`	Seasonal Linear Predictivity in National Football Championships. Big Data Giuseppe Jurman
2018	J	`jnl`	Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders. Signal Process. Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello
2018	J	`jnl`	Phylogenetic convolutional neural networks in metagenomics. BMC Bioinform. Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017	J	`jnl`	A multiobjective deep learning approach for predictive classification in Neuroblastoma. CoRR Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017	J	`jnl`	Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders. CoRR Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello
2017	J	`jnl`	Phylogenetic Convolutional Neural Networks in Metagenomics. CoRR Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017	J	`jnl`	Towards a scientific blockchain framework for reproducible data analysis. CoRR Cesare Furlanello, Manlio De Domenico, Giuseppe Jurman, Nicole Bussola
2017	J	`jnl`	Towards meaningful physics from generative models. CoRR Marco Cristoforetti, Giuseppe Jurman, Andrea I. Nardelli, Cesare Furlanello
2016	J	`jnl`	Efficient randomization of biological networks while preserving functional characterization of individual nodes. BMC Bioinform. Francesco Iorio, Marti Bernardo-Faura, Andrea Gobbi, Thomas Cokelaer, Giuseppe Jurman, Julio Saez-Rodriguez
2016	—	`conf`	Stereotypical Motor Movement Detection in Dynamic Feature Space. ICDM Workshops Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Giuseppe Jurman, Paola Venuti, Cesare Furlanello
2015	J	`jnl`	Community dynamics in connected time-dependent multilayer networks. CoRR Marco Cristoforetti, Marco Guerini, Giuseppe Jurman, Cesare Furlanello
2015	J	`jnl`	Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism. CoRR Nastaran Mohammadian Rad, Andrea Bizzego, Seyed Mostafa Kia, Giuseppe Jurman, Paola Venuti, Cesare Furlanello
2015	J	`jnl`	Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation. J. Complex Networks Damien Fay, Andrew W. Moore, Kenneth N. Brown, Michele Filosi, Giuseppe Jurman
2015	B	`conf`	The HIM glocal metric and kernel for network comparison and classification. DSAA Giuseppe Jurman, Roberto Visintainer, Michele Filosi, Samantha Riccadonna, Cesare Furlanello
2014	J	`jnl`	Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network. CoRR Gabriele Lami, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello, Tommaso Furlanello
2014	J	`jnl`	Fast randomization of large genomic datasets while preserving alteration counts. Bioinform. Andrea Gobbi, Francesco Iorio, Kevin J. Dawson, David C. Wedge, David Tamborero, Ludmil B. Alexandrov, Núria López-Bigas, Mathew Garnett, Giuseppe Jurman, Julio Saez-Rodriguez
2013	J	`jnl`	minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers. Bioinform. Davide Albanese, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello
2012	J	`jnl`	A combinatorial model of malware diffusion via Bluetooth connections CoRR Stefano Merler, Giuseppe Jurman
2012	J	`jnl`	A glocal distance for network comparison CoRR Giuseppe Jurman, Roberto Visintainer, Samantha Riccadonna, Michele Filosi, Cesare Furlanello
2012	J	`jnl`	mlpy: Machine Learning Python CoRR Davide Albanese, Roberto Visintainer, Stefano Merler, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello
2011	—	`conf`	A Machine Learning Pipeline for Discriminant Pathways Identification. CIBB Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna, Cesare Furlanello
2010	J	`jnl`	A machine learning pipeline for quantitative phenotype prediction from genotype data. BMC Bioinform. Giorgio Guzzetta, Giuseppe Jurman, Cesare Furlanello
2010	—	`conf`	An introduction to spectral distances in networks. WIRN Giuseppe Jurman, Roberto Visintainer, Cesare Furlanello
2010	J	`jnl`	The Structure of Thin Lie Algebras with Characteristic Two. Int. J. Algebra Comput. Marina Avitabile, Giuseppe Jurman, Sandro Mattarei
2008	J	`jnl`	Algebraic stability indicators for ranked lists in molecular profiling. Bioinform. Giuseppe Jurman, Stefano Merler, Annalisa Barla, Silvano Paoli, Antonio Galea, Cesare Furlanello
2008	J	`jnl`	Integrating gene expression profiling and clinical data. Int. J. Approx. Reason. Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello
2008	J	`jnl`	Machine learning methods for predictive proteomics. Briefings Bioinform. Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello
2007	—	`conf`	Deriving the Kernel from Training Data. MCS Stefano Merler, Giuseppe Jurman, Cesare Furlanello
2007	J	`jnl`	Supervised classification of combined copy number and gene expression data. J. Integr. Bioinform. Samantha Riccadonna, Giuseppe Jurman, Stefano Merler, Silvano Paoli, Alessandro Quattrone, Cesare Furlanello
2006	J	`jnl`	Combining feature selection and DTW for time-varying functional genomics. IEEE Trans. Signal Process. Cesare Furlanello, Stefano Merler, Giuseppe Jurman
2006	B	`conf`	Proteome Profiling without Selection Bias. CBMS Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello
2006	—	`conf`	Strategies for containing an influenza pandemic: the case of Italy. BIONETICS Stefano Merler, Giuseppe Jurman, Cesare Furlanello, Caterina Rizzo, Antonino Bella, Marco Massari, Marta Luisa Ciofi degli Atti
2006	J	`jnl`	Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel. Neural Networks Stefano Merler, Giuseppe Jurman
2005	Misc	`conf`	Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs. ICIAP Stefano Merler, Cesare Furlanello, Giuseppe Jurman
2005	J	`jnl`	Semisupervised Learning for Molecular Profiling. IEEE ACM Trans. Comput. Biol. Bioinform. Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
2005	—	`conf`	Semisupervised Profiling of Gene Expressions and Clinical Data. WILF Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello
2004	—	`conf`	Exact Bagging with k-Nearest Neighbour Classifiers. Multiple Classifier Systems Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman
2003	J	`jnl`	An accelerated procedure for recursive feature ranking on microarray data. Neural Networks Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
2003	J	`jnl`	Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinform. Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
2003	B	`conf`	Gene selection and classification by entropy-based recursive feature elimination. IJCNN Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman