Incremental Learning of Roughly Represented Concepts. - Anio O. Arigoni; Cesare Furlanello; Vittorio Maniezzo (IPMU, 1992)

Memory-Based Navigation. - Bruno Crespi; Cesare Furlanello; Luigi Stringa (IJCAI, 1993)

A memory-based approach to navigation. - Bruno Crespi; Cesare Furlanello; Luigi Stringa (Biol. Cybern., 1993)

Connectionist Speaker Normalization with Generalized Resource Allocating Networks. - Cesare Furlanello; Diego Giuliani; Edmondo Trentin (NIPS, 1994)

Application of Generalized Radial Basis Functions In Speaker Normalization and Identification. - Cesare Furlanello; Diego Giuliani; Edmondo Trentin; Daniele Falavigna (ISCAS, 1995)

Speaker Normalization and Model Selection of Combined Neural Networks. - Cesare Furlanello; Diego Giuliani; Edmondo Trentin; Stefano Merler (Connect. Sci., 1997)

Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS. - Cesare Furlanello; Stefano Merler (Multiple Classifier Systems, 2000)

Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis. - Stefano Merler; Cesare Furlanello; Barbara Larcher; Andrea Sboner (Multiple Classifier Systems, 2001)

Highlighting Hard Patterns via AdaBoost Weights Evolution. - Bruno Caprile; Cesare Furlanello; Stefano Merler (Multiple Classifier Systems, 2002)

The Dynamics of AdaBoost Weights Tells You What's Hard to Classify - Bruno Caprile; Cesare Furlanello; Stefano Merler (CoRR, 2002)

Gene selection and classification by entropy-based recursive feature elimination. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (IJCNN, 2003)

Entropy-based gene ranking without selection bias for the predictive classification of microarray data. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (BMC Bioinform., 2003)

Automatic model selection in cost-sensitive boosting. - Stefano Merler; Cesare Furlanello; Barbara Larcher; Andrea Sboner (Inf. Fusion, 2003)

An accelerated procedure for recursive feature ranking on microarray data. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (Neural Networks, 2003)

Exact Bagging with k-Nearest Neighbour Classifiers. - Bruno Caprile; Stefano Merler; Cesare Furlanello; Giuseppe Jurman (Multiple Classifier Systems, 2004)

Bias-Variance Control Via Hard Points Shaving. - Stefano Merler; Bruno Caprile; Cesare Furlanello (Int. J. Pattern Recognit. Artif. Intell., 2004)

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs. - Stefano Merler; Cesare Furlanello; Giuseppe Jurman (ICIAP, 2005)

Semisupervised Profiling of Gene Expressions and Clinical Data. - Silvano Paoli; Giuseppe Jurman; Davide Albanese; Stefano Merler; Cesare Furlanello (WILF, 2005)

Semisupervised Learning for Molecular Profiling. - Cesare Furlanello; Maria Serafini; Stefano Merler; Giuseppe Jurman (IEEE ACM Trans. Comput. Biol. Bioinform., 2005)

Strategies for containing an influenza pandemic: the case of Italy. - Stefano Merler; Giuseppe Jurman; Cesare Furlanello; Caterina Rizzo; Antonino Bella; Marco Massari; Marta Luisa Ciofi degli Atti (BIONETICS, 2006)

Proteome Profiling without Selection Bias. - Annalisa Barla; Bettina Irler; Stefano Merler; Giuseppe Jurman; Silvano Paoli; Cesare Furlanello (CBMS, 2006)

Combining feature selection and DTW for time-varying functional genomics. - Cesare Furlanello; Stefano Merler; Giuseppe Jurman (IEEE Trans. Signal Process., 2006)

Deriving the Kernel from Training Data. - Stefano Merler; Giuseppe Jurman; Cesare Furlanello (MCS, 2007)

Parallelizing AdaBoost by weights dynamics. - Stefano Merler; Bruno Caprile; Cesare Furlanello (Comput. Stat. Data Anal., 2007)

Supervised classification of combined copy number and gene expression data. - Samantha Riccadonna; Giuseppe Jurman; Stefano Merler; Silvano Paoli; Alessandro Quattrone; Cesare Furlanello (J. Integr. Bioinform., 2007)

Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products. - Pablo M. Granitto; Franco Biasioli; Cesare Furlanello; Flavia Gasperi (ICANN (2), 2008)

Machine learning methods for predictive proteomics. - Annalisa Barla; Giuseppe Jurman; Samantha Riccadonna; Stefano Merler; Marco Chierici; Cesare Furlanello (Briefings Bioinform., 2008)

Algebraic stability indicators for ranked lists in molecular profiling. - Giuseppe Jurman; Stefano Merler; Annalisa Barla; Silvano Paoli; Antonio Galea; Cesare Furlanello (Bioinform., 2008)

Integrating gene expression profiling and clinical data. - Silvano Paoli; Giuseppe Jurman; Davide Albanese; Stefano Merler; Cesare Furlanello (Int. J. Approx. Reason., 2008)

An introduction to spectral distances in networks. - Giuseppe Jurman; Roberto Visintainer; Cesare Furlanello (WIRN, 2010)

A machine learning pipeline for quantitative phenotype prediction from genotype data. - Giorgio Guzzetta; Giuseppe Jurman; Cesare Furlanello (BMC Bioinform., 2010)

A Machine Learning Pipeline for Discriminant Pathways Identification. - Annalisa Barla; Giuseppe Jurman; Roberto Visintainer; Margherita Squillario; Michele Filosi; Samantha Riccadonna; Cesare Furlanello (CIBB, 2011)

A glocal distance for network comparison - Giuseppe Jurman; Roberto Visintainer; Samantha Riccadonna; Michele Filosi; Cesare Furlanello (CoRR, 2012)

mlpy: Machine Learning Python - Davide Albanese; Roberto Visintainer; Stefano Merler; Samantha Riccadonna; Giuseppe Jurman; Cesare Furlanello (CoRR, 2012)

minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers. - Davide Albanese; Michele Filosi; Roberto Visintainer; Samantha Riccadonna; Giuseppe Jurman; Cesare Furlanello (Bioinform., 2013)

Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network. - Gabriele Lami; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello; Tommaso Furlanello (CoRR, 2014)

The HIM glocal metric and kernel for network comparison and classification. - Giuseppe Jurman; Roberto Visintainer; Michele Filosi; Samantha Riccadonna; Cesare Furlanello (DSAA, 2015)

Community dynamics in connected time-dependent multilayer networks. - Marco Cristoforetti; Marco Guerini; Giuseppe Jurman; Cesare Furlanello (CoRR, 2015)

Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism. - Nastaran Mohammadian Rad; Andrea Bizzego; Seyed Mostafa Kia; Giuseppe Jurman; Paola Venuti; Cesare Furlanello (CoRR, 2015)

Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders. - Nastaran Mohammadian Rad; Cesare Furlanello (ICDM Workshops, 2016)

Stereotypical Motor Movement Detection in Dynamic Feature Space. - Nastaran Mohammadian Rad; Seyed Mostafa Kia; Calogero Zarbo; Giuseppe Jurman; Paola Venuti; Cesare Furlanello (ICDM Workshops, 2016)

Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management. - Conrad Bielski; V. O'Brien; C. Whitmore; Kaisa Riikka Ylinen; I. Juga; Pertti Nurmi; Juha Pekka Kilpinen; I. Porras; J. M. Sole; P. Gamez; M. Navarro; Azra Alikadic; et al. (IEEE BigData, 2017)

A heat wave forecast system for Europe. - Andrea Gobbi; Azra Alikadic; Kaisa Riikka Ylinen; Federico Angaramo; Cesare Furlanello (IEEE BigData, 2017)

M-MS: A Multi-Modal Synchrony Dataset to Explore Dyadic Interaction in ASD. - Gabriele Calabrò; Andrea Bizzego; Stefano Cainelli; Cesare Furlanello; Paola Venuti (IIH-MSP (1), 2017)

Towards meaningful physics from generative models. - Marco Cristoforetti; Giuseppe Jurman; Andrea I. Nardelli; Cesare Furlanello (CoRR, 2017)

Towards a scientific blockchain framework for reproducible data analysis. - Cesare Furlanello; Manlio De Domenico; Giuseppe Jurman; Nicole Bussola (CoRR, 2017)

A multiobjective deep learning approach for predictive classification in Neuroblastoma. - Valerio Maggio; Marco Chierici; Giuseppe Jurman; Cesare Furlanello (CoRR, 2017)

Phylogenetic convolutional neural networks in metagenomics. - Diego Fioravanti; Ylenia Giarratano; Valerio Maggio; Claudio Agostinelli; Marco Chierici; Giuseppe Jurman; Cesare Furlanello (BMC Bioinform., 2018)

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders. - Nastaran Mohammadian Rad; Twan van Laarhoven; Cesare Furlanello; Elena Marchiori (Sensors, 2018)

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders. - Nastaran Mohammadian Rad; Seyed Mostafa Kia; Calogero Zarbo; Twan van Laarhoven; Giuseppe Jurman; Paola Venuti; Elena Marchiori; Cesare Furlanello (Signal Process., 2018)

Integrating deep and radiomics features in cancer bioimaging. - Andrea Bizzego; Nicole Bussola; D. Salvalai; Marco Chierici; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello (CIBCB, 2019)

A deep learning model to recognize food contaminating beetle species based on elytra fragments. - Leihong Wu; Zhichao Liu; Tanmay Bera; Hongjian Ding; Darryl Langley; Amy Barnes; Cesare Furlanello; Valerio Maggio; Weida Tong; Joshua Xu (Comput. Electron. Agric., 2019)

High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning. - Andrea Gobbi; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello (CoRR, 2019)

In-field grape berries counting for yield estimation using dilated CNNs. - Luca Coviello; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello (CoRR, 2019)

MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive. - Gabriele Franch; Giuseppe Jurman; Luca Coviello; Marta Pendesini; Cesare Furlanello (CoRR, 2019)

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. - Andrea Bizzego; Nicole Bussola; Marco Chierici; Valerio Maggio; Margherita Francescatto; Luca Cima; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello (PLoS Comput. Biol., 2019)

MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives. - Gabriele Franch; Giuseppe Jurman; Luca Coviello; Marta Pendesini; Cesare Furlanello (Remote. Sens., 2019)

pyphysio: A physiological signal processing library for data science approaches in physiology. - Andrea Bizzego; Alessandro Battisti; Giulio Gabrieli; Gianluca Esposito; Cesare Furlanello (SoftwareX, 2019)

Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery. - Lauren R. Kennedy-Metz; Andrea Bizzego; Roger D. Dias; Cesare Furlanello; Gianluca Esposito; Marco A. Zenati (CogSIMA, 2020)

Feasibility of Healthcare Providers' Autonomic Activation Recognition in Real-Life Cardiac Surgery Using Noninvasive Sensors. - Lauren R. Kennedy-Metz; Andrea Bizzego; Roger D. Dias; Cesare Furlanello; Gianluca Esposito; Marco A. Zenati (HCI (48), 2020)

AI Slipping on Tiles: Data Leakage in Digital Pathology. - Nicole Bussola; Alessia Marcolini; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello (ICPR Workshops (1), 2020)

Deep representation learning of electronic health records to unlock patient stratification at scale. - Isotta Landi; Benjamin S. Glicksberg; Hao-Chih Lee; Sarah T. Cherng; Giulia Landi; Matteo Danieletto; Joel T. Dudley; Cesare Furlanello; Riccardo Miotto (npj Digit. Medicine, 2020)

Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals. - Andrea Bizzego; Giulio Gabrieli; Cesare Furlanello; Gianluca Esposito (Sensors, 2020)

Sensors for Continuous Monitoring of Surgeon's Cognitive Workload in the Cardiac Operating Room. - Lauren R. Kennedy-Metz; Roger D. Dias; Srey Rithy; Geoffrey Rance; Cesare Furlanello; Marco A. Zenati (Sensors, 2020)

Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning. - Halil Bisgin; Tanmay Bera; Leihong Wu; Hongjian Ding; Neslihan Bisgin; Zhichao Liu; Monica Pava-Ripoll; Amy Barnes; James F. Campbell; Himansi Vyas; Cesare Furlanello; Weida Tong; et al. (Frontiers Artif. Intell., 2022)

histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing. - Alessia Marcolini; Nicole Bussola; Ernesto Arbitrio; Mohamed Amgad; Giuseppe Jurman; Cesare Furlanello (SoftwareX, 2022)

Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation. - Gianpaolo Alvari; Ersilia Vallefuoco; Melanie Cristofolini; Elio Salvadori; Marco Dianti; Alessia Moltani; Davide Dal Castello; Paola Venuti; Cesare Furlanello (CoRR, 2024)

Characterizing motion artifacts in functional near-infrared spectroscopy signals using ground-truth movement information and computer vision. - Andrea Bizzego; Alessandro Carollo; Seraphina Fong; Cesare Furlanello; Gianluca Esposito (Biomed. Signal Process. Control., 2025)