Giuseppe Jurman

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 39

Top Topics

Convolutional Neural Network

Summary Statistics

Correlation Coefficient

Top Venues

Publications

Davide Chicco, Tiziana Sanavia, Giuseppe Jurman
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData Min. 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData Min. 16 (1) (2023)
Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi, Antonio Colangelo, Marcello Dorian Donzella, Giuseppe Jurman
Endoscopy-based IBD identification by a quantized deep learning pipeline. BioData Min. 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
Ten simple rules for providing bioinformatics support within a hospital. BioData Min. 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index. J. Biomed. Informatics 144 (2023)
Jordi Martorell-Marugan, Marco Chierici, Giuseppe Jurman, Marta E. Alarcón-Riquelme, Pedro Carmona-Saez
Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data. Comput. Biol. Medicine 152 (2023)
Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani, Giuseppe Jurman
Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. BMC Medical Informatics Decis. Mak. (6) (2022)
Davide Chicco, Giuseppe Jurman
A brief survey of tools for genomic regions enrichment analysis. Frontiers Bioinform. 2 (2022)
Alessia Marcolini, Nicole Bussola, Ernesto Arbitrio, Mohamed Amgad, Giuseppe Jurman, Cesare Furlanello
histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing. SoftwareX 20 (2022)
Davide Chicco, Giuseppe Jurman
The ABC recommendations for validation of supervised machine learning results in biomedical sciences. Frontiers Big Data 5 (2022)
Raffaele Marchesi, Nicolo Micheletti, Giuseppe Jurman, Venet Osmani
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data. CoRR (2022)
Davide Chicco, Abbas Alameer, Sara Rahmati, Giuseppe Jurman
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. BioData Min. 15 (1) (2022)
Davide Chicco, Giuseppe Jurman
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence. Frontiers Robotics AI 9 (2022)
Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData (2021)
Davide Chicco, Giuseppe Jurman
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease. IEEE Access 9 (2021)
Davide Chicco, Niklas Tötsch, Giuseppe Jurman
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. BioData Min. 14 (1) (2021)
Davide Chicco, Giuseppe Jurman
An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis. IEEE Access 9 (2021)
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Comput. Sci. 7 (2021)
Davide Chicco, Valery Starovoitov, Giuseppe Jurman
The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment. IEEE Access 9 (2021)
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment. IEEE Access 9 (2021)
Giuseppe Mangioni, Giuseppe Jurman, Manlio De Domenico
Multilayer Flows in Molecular Networks Identify Biological Modules in the Human Proteome. IEEE Trans. Netw. Sci. Eng. 7 (1) (2020)
Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
AI Slipping on Tiles: Data Leakage in Digital Pathology. ICPR Workshops (1) (2020)
Davide Chicco, Giuseppe Jurman
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Giuseppe Jurman
Seasonal Linear Predictivity in National Football Championships. Big Data 7 (1) (2019)
Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello
MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives. Remote. Sens. 11 (24) (2019)
Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive. CoRR (2019)
Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS Comput. Biol. 15 (3) (2019)
Andrea Gobbi, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning. CoRR (2019)
Luca Coviello, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
In-field grape berries counting for yield estimation using dilated CNNs. CoRR (2019)
Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
Integrating deep and radiomics features in cancer bioimaging. CIBCB (2019)
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Phylogenetic convolutional neural networks in metagenomics. BMC Bioinform. (2) (2018)
Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders. Signal Process. 144 (2018)
Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello
Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders. CoRR (2017)
Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
A multiobjective deep learning approach for predictive classification in Neuroblastoma. CoRR (2017)
Marco Cristoforetti, Giuseppe Jurman, Andrea I. Nardelli, Cesare Furlanello
Towards meaningful physics from generative models. CoRR (2017)
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Phylogenetic Convolutional Neural Networks in Metagenomics. CoRR (2017)
Cesare Furlanello, Manlio De Domenico, Giuseppe Jurman, Nicole Bussola
Towards a scientific blockchain framework for reproducible data analysis. CoRR (2017)
Francesco Iorio, Marti Bernardo-Faura, Andrea Gobbi, Thomas Cokelaer, Giuseppe Jurman, Julio Saez-Rodriguez
Efficient randomization of biological networks while preserving functional characterization of individual nodes. BMC Bioinform. 17 (2016)
Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Giuseppe Jurman, Paola Venuti, Cesare Furlanello
Stereotypical Motor Movement Detection in Dynamic Feature Space. ICDM Workshops (2016)
Damien Fay, Andrew W. Moore, Kenneth N. Brown, Michele Filosi, Giuseppe Jurman
Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation. J. Complex Networks 3 (1) (2015)
Nastaran Mohammadian Rad, Andrea Bizzego, Seyed Mostafa Kia, Giuseppe Jurman, Paola Venuti, Cesare Furlanello
Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism. CoRR (2015)
Marco Cristoforetti, Marco Guerini, Giuseppe Jurman, Cesare Furlanello
Community dynamics in connected time-dependent multilayer networks. CoRR (2015)
Giuseppe Jurman, Roberto Visintainer, Michele Filosi, Samantha Riccadonna, Cesare Furlanello
The HIM glocal metric and kernel for network comparison and classification. DSAA (2015)
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
Fast randomization of large genomic datasets while preserving alteration counts. Bioinform. 30 (17) (2014)
The Fantom Consortium, RIKEN PMII, RIKEN CLST (DGT), Alistair R. R. Forrest, Hideya Kawaji, Michael Rehli, J. Kenneth Baillie, Michiel J. L. de Hoon, Vanja Haberle, Timo Lassmann, Ivan V. Kulakovskiy, Marina Lizio, Masayoshi Itoh, Robin Andersson, Christopher J. Mungall, Terrence F. Meehan, Sebastian Schmeier, Nicolas Bertin, Mette Jørgensen, Emmanuel Dimont, Erik Arner, Christian Schmidl, Ulf Schaefer, Yulia A. Medvedeva, Charles Plessy, Morana Vitezic, Jessica Severin, Colin A. M. Semple, Yuri Ishizu, Robert S. Young, Margherita Francescatto, Intikhab Alam, Davide Albanese, Gabriel M. Altschuler, Takahiro Arakawa, John A. C. Archer, Peter Arner, Magda Babina, Sarah Rennie, Piotr J. Balwierz, Anthony G. Beckhouse, Swati Pradhan-Bhatt, Judith A. Blake, Antje Blumenthal, Beatrice Bodega, Alessandro Bonetti, James Briggs, Frank Brombacher, A. Maxwell Burroughs, Andrea Califano, Carlo V. Cannistraci, Daniel Carbajo, Yun Chen, Marco Chierici, Yari Ciani, Hans Clevers, Emiliano Dalla, Carrie A. Davis, Michael Detmar, Alexander D. Diehl, Taeko Dohi, Finn Drabløs, Albert S. B. Edge, Matthias Edinger, Karl Ekwall, Mitsuhiro Endoh, Hideki Enomoto, Michela Fagiolini, Lynsey Fairbairn, Hai Fang, Mary C. Farach-Carson, Geoffrey J. Faulkner, Alexander V. Favorov, Malcolm E. Fisher, Martin C. Frith, Rie Fujita, Shiro Fukuda, Cesare Furlanello, Masaaki Furuno, Jun-ichi Furusawa, Teunis B. Geijtenbeek, Andrew P. Gibson, Thomas R. Gingeras, Daniel Goldowitz, Julian Gough, Sven Guhl, Reto Guler, Stefano Gustincich, Thomas J. Ha, Masahide Hamaguchi, Mitsuko Hara, Matthias Harbers, Jayson Harshbarger, Akira Hasegawa, Yuki Hasegawa, Takehiro Hashimoto, Meenhard Herlyn, Kelly J. Hitchens, Shannan J. Ho Sui, Oliver M. Hofmann, Ilka Hoof, Fumi Hori, Lukasz Huminiecki, Kei Iida, Tomokatsu Ikawa, Boris R. Jankovic, Hui Jia, Anagha Joshi, Giuseppe Jurman, Bogumil Kaczkowski, Chieko Kai, Kaoru Kaida, Ai Kaiho, Kazuhiro Kajiyama, Mutsumi Kanamori-Katayama, Artem S. Kasianov, Takeya Kasukawa, Shintaro Katayama, Sachi Kato, Shuji Kawaguchi, Hiroshi Kawamoto, Yuki I. Kawamura, Tsugumi Kawashima, Judith S. Kempfle, Tony J. Kenna, Juha Kere, Levon M. Khachigian, Toshio Kitamura, S. Peter Klinken, Alan J. Knox, Miki Kojima, Soichi Kojima, Naoto Kondo, Haruhiko Koseki, Shigeo Koyasu, Sarah Krampitz, Atsutaka Kubosaki, Andrew T. Kwon, Jeroen F. J. Laros, Weonju Lee, Andreas Lennartsson, Kang Li, Berit Lilje, Leonard Lipovich, Alan Mackay-Sim, Ri-ichiroh Manabe, Jessica C. Mar, Benoit Marchand, Anthony Mathelier, Niklas Mejhert, Alison M. Meynert, Yosuke Mizuno, David A. de Lima Morais, Hiromasa Morikawa, Mitsuru Morimoto, Kazuyo Moro, Efthymios Motakis, Hozumi Motohashi, Christine Mummery, Mitsuyoshi Murata, Sayaka Nagao-Sato, Yutaka Nakachi, Fumio Nakahara, Toshiyuki Nakamura, Yukio Nakamura, Kenichi Nakazato, Erik van Nimwegen, Noriko Ninomiya, Hiromi Nishiyori, Shohei Noma, Tadasuke Nozaki, Soichi Ogishima, Naganari Ohkura, Hiroko Ohmiya, Hiroshi Ohno, Mitsuhiro Ohshima, Mariko Okada-Hatakeyama, Yasushi Okazaki, Valerio Orlando, Dmitry A. Ovchinnikov, Arnab Pain, Robert Passier, Margaret Patrikakis, Helena Persson, Silvano Piazza, James G. D. Prendergast, Owen J. L. Rackham, Jordan A. Ramilowski, Mamoon Rashid, Timothy Ravasi, Patrizia Rizzu, Marco Roncador, Sugata Roy, Morten B. Rye, Eri Saijyo, Antti Sajantila, Akiko Saka, Shimon Sakaguchi, Mizuho Sakai, Hiroki Sato, Hironori Sato, Suzana Savvi, Alka Saxena, Claudio Schneider, Erik A. Schultes, Gundula G. Schulze-Tanzil, Anita Schwegmann, Thierry Sengstag, Guojun Sheng, Hisashi Shimoji, Yishai Shimoni, Jay W. Shin, Christophe Simon, Daisuke Sugiyama, Takaaki Sugiyama, Masanori Suzuki, Naoko Suzuki, Rolf K. Swoboda, Peter A. C. 't Hoen, Michihira Tagami, Naoko Takahashi, Jun Takai, Hiroshi Tanaka, Hideki Tatsukawa, Zuotian Tatum, Mark Thompson, Hiroo Toyoda, Tetsuro Toyoda, Eivind Valen, Marc van de Wetering, Linda M. van den Berg, Roberto Verardo, Dipti Vijayan, Ilya E. Vorontsov, Wyeth W. Wasserman, Shoko Watanabe, Christine A. Wells, Louise N. Winteringham, Ernst Wolvetang, Emily J. Wood, Yoko Yamaguchi, Masayuki Yamamoto, Misako Yoneda, Yohei Yonekura, Shigehiro Yoshida, Susan E. Zabierowski, Peter G. Zhang, Xiaobei Zhao, Silvia Zucchelli, Kim M. Summers, Harukazu Suzuki, Carsten O. Daub, Jun Kawai, Peter Heutink, Winston Hide, Tom C. Freeman, Boris Lenhard, Vladimir B. Bajic, Martin S. Taylor, Vsevolod J. Makeev, Albin Sandelin, David A. Hume, Piero Carninci, Yoshihide Hayashizaki
A promoter-level mammalian expression atlas. Nat. 507 (7493) (2014)
Gabriele Lami, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello, Tommaso Furlanello
Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network. CoRR (2014)
Davide Albanese, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello
minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers. Bioinform. 29 (3) (2013)
Davide Albanese, Roberto Visintainer, Stefano Merler, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello
mlpy: Machine Learning Python CoRR (2012)
Stefano Merler, Giuseppe Jurman
A combinatorial model of malware diffusion via Bluetooth connections CoRR (2012)
Giuseppe Jurman, Roberto Visintainer, Samantha Riccadonna, Michele Filosi, Cesare Furlanello
A glocal distance for network comparison CoRR (2012)
Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna, Cesare Furlanello
A Machine Learning Pipeline for Discriminant Pathways Identification. CIBB (2011)
Giuseppe Jurman, Roberto Visintainer, Cesare Furlanello
An introduction to spectral distances in networks. WIRN (2010)
Marina Avitabile, Giuseppe Jurman, Sandro Mattarei
The Structure of Thin Lie Algebras with Characteristic Two. Int. J. Algebra Comput. 20 (6) (2010)
Giorgio Guzzetta, Giuseppe Jurman, Cesare Furlanello
A machine learning pipeline for quantitative phenotype prediction from genotype data. BMC Bioinform. 11 (S-8) (2010)
Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello
Machine learning methods for predictive proteomics. Briefings Bioinform. 9 (2) (2008)
Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello
Integrating gene expression profiling and clinical data. Int. J. Approx. Reason. 47 (1) (2008)
Giuseppe Jurman, Stefano Merler, Annalisa Barla, Silvano Paoli, Antonio Galea, Cesare Furlanello
Algebraic stability indicators for ranked lists in molecular profiling. Bioinform. 24 (2) (2008)
Stefano Merler, Giuseppe Jurman, Cesare Furlanello
Deriving the Kernel from Training Data. MCS (2007)
Samantha Riccadonna, Giuseppe Jurman, Stefano Merler, Silvano Paoli, Alessandro Quattrone, Cesare Furlanello
Supervised classification of combined copy number and gene expression data. J. Integr. Bioinform. 4 (3) (2007)
Cesare Furlanello, Stefano Merler, Giuseppe Jurman
Combining feature selection and DTW for time-varying functional genomics. IEEE Trans. Signal Process. 54 (6-2) (2006)
Stefano Merler, Giuseppe Jurman
Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel. Neural Networks 19 (10) (2006)
Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello
Proteome Profiling without Selection Bias. CBMS (2006)
Stefano Merler, Giuseppe Jurman, Cesare Furlanello, Caterina Rizzo, Antonino Bella, Marco Massari, Marta Luisa Ciofi degli Atti
Strategies for containing an influenza pandemic: the case of Italy. BIONETICS (2006)
Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
Semisupervised Learning for Molecular Profiling. IEEE ACM Trans. Comput. Biol. Bioinform. 2 (2) (2005)
Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello
Semisupervised Profiling of Gene Expressions and Clinical Data. WILF (2005)
Stefano Merler, Cesare Furlanello, Giuseppe Jurman
Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs. ICIAP (2005)
Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman
Exact Bagging with k-Nearest Neighbour Classifiers. Multiple Classifier Systems (2004)
Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinform. 4 (2003)
Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
An accelerated procedure for recursive feature ranking on microarray data. Neural Networks 16 (5-6) (2003)