A Constructive Learning Algorithm for Discriminant Tangent Models. - Diego Sona; Alessandro Sperduti; Antonina Starita (NIPS, 1996)

Bi-Causal Recurrent Cascade Correlation. - Alessio Micheli; Diego Sona; Alessandro Sperduti (IJCNN (3), 2000)

Discriminant Pattern Recognition Using Transformation-Invariant Neurons. - Diego Sona; Alessandro Sperduti; Antonina Starita (Neural Comput., 2000)

On the Need for a Neural Abstract Machine. - Diego Sona; Alessandro Sperduti (Sequence Learning, 2001)

A Neural Abstract Machine. - Egon Börger; Diego Sona (J. Univers. Comput. Sci., 2001)

A proposal for an abstract neural machine. - Diego Sona (2002)

Bootstrapping for hierarchical document classification. - Giordano Adami; Paolo Avesani; Diego Sona (CIKM, 2003)

Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. - Alessio Micheli; Diego Sona; Alessandro Sperduti (ICANN, 2003)

Clustering documents in a web directory. - Giordano Adami; Paolo Avesani; Diego Sona (WIDM, 2003)

Contextual processing of structured data by recursive cascade correlation. - Alessio Micheli; Diego Sona; Alessandro Sperduti (IEEE Trans. Neural Networks, 2004)

Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. - Diego Sona; Paolo Avesani; Robert Moskovitch (AIME, 2005)

Hierarchical Dirichlet model for document classification. - Sriharsha Veeramachaneni; Diego Sona; Paolo Avesani (ICML, 2005)

Clustering documents into a web directory for bootstrapping a supervised classification. - Giordano Adami; Paolo Avesani; Diego Sona (Data Knowl. Eng., 2005)

Automatic Generation of Metadata for Learning Objects. - Paramjeet Singh Saini; Marco Ronchetti; Diego Sona (ICALT, 2006)

Regularization for Unsupervised Classification on Taxonomies. - Diego Sona; Sriharsha Veeramachaneni; Nicola Polettini; Paolo Avesani (ISMIS, 2006)

Building Quality-Based Views of the Web. - Enrico Triolo; Nicola Polettini; Diego Sona; Paolo Avesani (AI*IA, 2007)

Inferring Cognition from fMRI Brain Images. - Diego Sona; Sriharsha Veeramachaneni; Emanuele Olivetti; Paolo Avesani (ICANN (2), 2007)

A relational cascade correlation for structured outputs. - Nicola Polettini; Diego Sona; Paolo Avesani (IJCNN, 2008)

Learning to Interpret Cognitive States from fMRI Brain Images. - Diego Sona; Emanuele Olivetti; Paolo Avesani; Sriharsha Veeramachaneni (Computational Intelligence and Bioengineering, 2009)

Feature Rating by Random Subspaces for Functional Brain Mapping. - Diego Sona; Paolo Avesani (Brain Informatics, 2010)

Multivariate Brain Mapping by Random Subspaces. - Diego Sona; Paolo Avesani (ICPR, 2010)

Pairwise Analysis for Longitudinal fMRI Studies. - Diego Sona; Paolo Avesani; Stefano Magon; Gianpaolo Basso; Gabriele Miceli (MLINI, 2011)

Learning BOLD Response in fMRI by Reservoir Computing. - Paolo Avesani; Hananel Hazan; Ester Koilis; Larry M. Manevitz; Diego Sona (PRNI, 2011)

Clustered subsampling for clinically informed diagnostic brain mapping. - Malin Björnsdotter; Diego Sona; Sonny Rosenthal; Justin Dauwels (FUSION, 2012)

Segmentation and tracking of multiple interacting mice by temperature and shape information. - Luca Giancardo; Diego Sona; Diego Scheggia; Francesco Papaleo; Vittorio Murino (ICPR, 2012)

Inner product tree for improved Orthogonal Matching Pursuit. - Paolo Piro; Diego Sona; Vittorio Murino (ICPR, 2012)

Automatic Tractography Analysis through Sparse Networks in Case-Control Studies. - Luca Giancardo; Diego Sona; Alessandro Gozzi; Angelo Bifone; Vittorio Murino; Sara Migliarini; Giulia Pacini; Barbara Pelosi; Massimo Pasqualetti (PRNI, 2012)

Dirichlet Process Mixtures of Multinomials for Data Mining in Mice Behaviour Analysis. - Matteo Zanotto; Diego Sona; Vittorio Murino; Francesco Papaleo (ICCV Workshops, 2013)

Neuronal network structural connectivity estimation by probabilistic features and graph heat kernels. - Simona Ullo; Umberto Castellani; Diego Sona; Alessio Del Bue; Alessandro Maccione; Luca Berdondini; Vittorio Murino (ISBI, 2013)

Automatic White Matter Fiber Clustering Using Dominant Sets. - Luca Dodero; Sebastiano Vascon; Luca Giancardo; Alessandro Gozzi; Diego Sona; Vittorio Murino (PRNI, 2013)

Group-Wise Functional Community Detection through Joint Laplacian Diagonalization. - Luca Dodero; Alessandro Gozzi; Adam Liska; Vittorio Murino; Diego Sona (MICCAI (2), 2014)

Joint laplacian diagonalization for multi-modal brain community detection. - Luca Dodero; Vittorio Murino; Diego Sona (PRNI, 2014)

Automated multi-subject fiber clustering of mouse brain using dominant sets. - Luca Dodero; Sebastiano Vascon; Vittorio Murino; Angelo Bifone; Alessandro Gozzi; Diego Sona (Frontiers Neuroinformatics, 2014)

Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance. - Vasiliki-Maria Katsageorgiou; Glenda Lassi; Valter Tucci; Vittorio Murino; Diego Sona (EMBC, 2015)

Improving FREAK Descriptor for Image Classification. - Cristina Hilario Gomez; Kartheek Medathati; Pierre Kornprobst; Vittorio Murino; Diego Sona (ICVS, 2015)

Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices. - Luca Dodero; Ha Quang Minh; Marco San-Biagio; Vittorio Murino; Diego Sona (ISBI, 2015)

Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold. - Luca Dodero; Fabio Sambataro; Vittorio Murino; Diego Sona (MICCAI (3), 2015)

Bridging the gap in connectomic studies: A particle filtering framework for estimating structural connectivity at network scale. - Simona Ullo; Vittorio Murino; Alessandro Maccione; Luca Berdondini; Diego Sona (Medical Image Anal., 2015)

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. - Paolo Avesani; Hananel Hazan; Ester Koilis; Larry M. Manevitz; Diego Sona (Neural Networks, 2015)

Unsupervised mouse behavior analysis: A data-driven study of mice interactions. - Vasiliki-Maria Katsageorgiou; Matteo Zanotto; Huiping Huang; Valentina Ferretti 002; Francesco Papaleo; Diego Sona; Vittorio Murino (ICPR, 2016)

Traces of human functional activity: Moment-to-moment fluctuations in fMRI data. - Luca Dodero; Diego Sona; Djalel Eddine Meskaldji; Vittorio Murino; Dimitri Van De Ville (ISBI, 2016)

Effective Brain Connectivity Through a Constrained Autoregressive Model. - Alessandro Crimi; Luca Dodero; Vittorio Murino; Diego Sona (MICCAI (1), 2016)

Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging. - Silvia Baglietto; Ibolya E. Kepiro; Gerrit Hilgen; Evelyne Sernagor; Vittorio Murino; Diego Sona (BIOIMAGING, 2017)

Automatic Segmentation of Neurons from Fluorescent Microscopy Imaging. - Silvia Baglietto; Ibolya E. Kepiro; Gerrit Hilgen; Evelyne Sernagor; Vittorio Murino; Diego Sona (BIOSTEC (Selected Papers), 2017)

Data-driven study of mouse sleep-stages using Restricted Boltzmann Machines. - Vasiliki-Maria Katsageorgiou; Matteo Zanotto; Valter Tucci; Vittorio Murino; Diego Sona (IJCNN, 2017)

Case-control discrimination through effective brain connectivity. - Alessandro Crimi; Luca Dodero; Vittorio Murino; Diego Sona (ISBI, 2017)

Atlas-free connectivity analysis driven by white matter structure. - Cristina Hilario Gomez; Luca Dodero; Alessandro Gozzi; Vittorio Murino; Diego Sona (ISBI, 2017)

Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines. - Matteo Zanotto; Riccardo Volpi; Alessandro Maccione; Luca Berdondini; Diego Sona; Vittorio Murino (CoRR, 2017)

Unsupervised Detection of White Matter Fiber Bundles with Stochastic Neural Networks. - Michael Dayan; Vasiliki-Maria Katsageorgiou; Luca Dodero; Vittorio Murino; Diego Sona (ICIP, 2018)

Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model. - Ario Sadafi; Vasiliki-Maria Katsageorgiou; Huiping Huang; Francesco Papaleo; Vittorio Murino; Diego Sona (ICPR, 2018)

Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI. - Shahab Aslani; Michael Dayan; Vittorio Murino; Diego Sona (BrainLes@MICCAI (1), 2018)

Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study. - Muhammad Abubakar Yamin; Michael Dayan; Letizia Squarcina; Vaibhav A. Diwadkar; Paolo Brambilla; Vittorio Murino; Diego Sona (BHI, 2019)

Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs. - Muhammad Usman Akbar; Shahab Aslani; Vittorio Murino; Diego Sona (ICIAP (1), 2019)

Analysis of Dynamic Brain Connectivity Through Geodesic Clustering. - A. Yamin; Michael Dayan; Letizia Squarcina; Paolo Brambilla; Vittorio Murino; Vaibhav A. Diwadkar; Diego Sona (ICIAP (2), 2019)

Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study. - Abubakar Yamin; Michael Dayan; Letizia Squarcina; Paolo Brambilla; Vittorio Murino; Vaibhav A. Diwadkar; Diego Sona (ISBI, 2019)

Comparison of brain connectomes using geodesic distance on manifold: a twin study. - A. Yamin; Michael Dayan; Letizia Squarcina; Paolo Brambilla; Vittorio Murino; Vaibhav A. Diwadkar; Diego Sona (CoRR, 2019)

Multi-branch convolutional neural network for multiple sclerosis lesion segmentation. - Shahab Aslani; Michael Dayan; Loredana Storelli; Massimo Filippi; Vittorio Murino; Maria Assunta Rocca; Diego Sona (NeuroImage, 2019)

Organ Segmentation with Recursive Data Augmentation for Deep Models. - Muhammad Usman Akbar; Muhammad Abubakar Yamin; Vittorio Murino; Diego Sona (ICPR Workshops (1), 2020)

Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans. - Avik Hati; Matteo Bustreo; Diego Sona; Vittorio Murino; Alessio Del Bue (ICPR, 2020)

Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification. - Muhammad Abubakar Yamin; Paola Valsasina; Michael Dayan; Sebastiano Vascon; Jacopo Tessadori; Massimo Filippi; Vittorio Murino; Maria Assunta Rocca; Diego Sona (ICPR, 2020)

Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity. - Muhammad Abubakar Yamin; Jacopo Tessadori; Muhammad Usman Akbar; Michael Dayan; Vittorio Murino; Diego Sona (IJCNN, 2020)

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. - Shahab Aslani; Vittorio Murino; Michael Dayan; Roger C. Tam; Diego Sona; Ghassan Hamarneh (ISBI, 2020)

A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. - Pietro Astolfi; Alessandro De Benedictis; Silvio Sarubbo; Giulia Berto; Emanuele Olivetti; Diego Sona; Paolo Avesani (ISBI, 2020)

Multimodal Segmentation of Medical Images with Heavily Missing Data. - Muhammad Usman Akbar; Vittorio Murino; Diego Sona (BHI, 2021)

Cyst segmentation on kidney tubules by means of U-Net deep-learning models. - Simone Monaco; Nicole Bussola; Sara Buttò; Diego Sona; Daniele Apiletti; Giuseppe Jurman; Elisa Viola; Marco Chierici; Christodoulos Xinaris; Vincenzo Viola (IEEE BigData, 2021)

Dynamic Functional Connectivity For The Classification Of Multiple Sclerosis Phenotype: A Hidden Markov Model Approach. - Jacopo Tessadori; Muhammad Abubakar Yamin; Paola Valsasina; Massimo Filippi; Maria Assunta Rocca; Diego Sona (ISBI, 2021)

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. - Paolo Soda; Natascha Claudia D'Amico; Jacopo Tessadori; Giovanni Valbusa; Valerio Guarrasi; Chandra Bortolotto; Muhammad Usman Akbar; Rosa Sicilia; Ermanno Cordelli; Deborah Fazzini; Michaela Cellina; Giancarlo Oliva; et al. (Medical Image Anal., 2021)

Structurally constrained effective brain connectivity. - Alessandro Crimi; Luca Dodero; Fabio Sambataro; Vittorio Murino; Diego Sona (NeuroImage, 2021)

Machine learning predicts pulmonary Long Covid sequelae using clinical data. - Ermanno Cordelli; Paolo Soda; Sara Citter; Elia Schiavon; Christian Salvatore; Deborah Fazzini; Greta Clementi; Michaela Cellina; Andrea Cozzi; Chandra Bortolotto; Lorenzo Preda; Luisa Francini; et al. (BMC Medical Informatics Decis. Mak., 2024)

AI-based modular warning machine for risk identification in proximity healthcare. - Chiara Razzetta; Shahryar Noei; Federico Barbarossa; Edoardo Spairani; Monica Roascio; Elisa Barbi; Giulia Ciacci; Sara Sommariva; Sabrina Guastavino; Michele Piana; Matteo Lenge; Gabriele Arnulfo; et al. (CoRR, 2025)

Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data. - Ermanno Cordelli; Paolo Soda; Sara Citter; Elia Schiavon; Christian Salvatore; Deborah Fazzini; Greta Clementi; Michaela Cellina; Andrea Cozzi; Chandra Bortolotto; Lorenzo Preda; Luisa Francini; et al. (BMC Medical Informatics Decis. Mak., 2025)