Hausdorff Kernel for 3D Object Acquisition and Detection. - Annalisa Barla; Francesca Odone; Alessandro Verri (ECCV (4), 2002)

Kernel-Based 3D Object Representation. - Annalisa Barla; Francesca Odone (ICANN, 2002)

Image Kernels. - Annalisa Barla; Emanuele Franceschi; Francesca Odone; Alessandro Verri (SVM, 2002)

Old fashioned state-of-the-art image classification. - Annalisa Barla; Francesca Odone; Alessandro Verri (ICIAP, 2003)

Histogram intersection kernel for image classification. - Annalisa Barla; Francesca Odone; Alessandro Verri (ICIP (3), 2003)

Building kernels from binary strings for image matching. - Francesca Odone; Annalisa Barla; Alessandro Verri (IEEE Trans. Image Process., 2005)

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

A method for robust variable selection with significance assessment. - Annalisa Barla; Sofia Mosci; Lorenzo Rosasco; Alessandro Verri (ESANN, 2008)

Vector valued regression for iron overload estimation. - Luca Baldassarre; Annalisa Barla; Barbara Gianesin; Mauro Marinelli (ICPR, 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)

Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents. - Nicoletta Noceti; Barbara Caputo; Claudio Castellini; Luca Baldassarre; Annalisa Barla; Lorenzo Rosasco; Francesca Odone; Giulio Sandini (ICIAP, 2009)

Learning how to grasp objects. - Annalisa Barla; Luca Baldassarre; Nicoletta Noceti; Francesca Odone (ESANN, 2010)

Vector Field Learning via Spectral Filtering. - Luca Baldassarre; Lorenzo Rosasco; Annalisa Barla; Alessandro Verri (ECML/PKDD (1), 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)

SVS: Data and knowledge integration in computational biology. - Grzegorz Zycinski; Annalisa Barla; Alessandro Verri (EMBC, 2011)

Discriminant functional gene groups identification with machine learning and prior knowledge. - Grzegorz Zycinski; Margherita Squillario; Annalisa Barla; Tiziana Sanavia; Alessandro Verri; Barbara Di Camillo (ESANN, 2012)

Multi-output learning via spectral filtering. - Luca Baldassarre; Lorenzo Rosasco; Annalisa Barla; Alessandro Verri (Mach. Learn., 2012)

Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization. - Margherita Squillario; Grzegorz Zycinski; Annalisa Barla; Alessandro Verri (CIBB, 2013)

Dictionary learning improves subtyping of breast cancer aCGH data. - Salvatore Masecchia; Annalisa Barla; Saverio Salzo; Alessandro Verri (EMBC, 2013)

A dictionary learning based method for aCGH segmentation. - Salvatore Masecchia; Saverio Salzo; Annalisa Barla; Alessandro Verri (ESANN, 2013)

Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. - Grzegorz Zycinski; Annalisa Barla; Margherita Squillario; Tiziana Sanavia; Barbara Di Camillo; Alessandro Verri (Source Code Biol. Medicine, 2013)

Alternating Proximal Regularized Dictionary Learning. - Saverio Salzo; Salvatore Masecchia; Alessandro Verri; Annalisa Barla (Neural Comput., 2014)

A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes. - Samuele Fiorini; Alessandro Verri; Andrea Tacchino; Michela Ponzio; Giampaolo Brichetto; Annalisa Barla (EMBC, 2015)

PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data. - Matteo Barbieri; Samuele Fiorini; Federico Tomasi; Annalisa Barla (PyHPC@SC, 2016)

A temporal model for multiple sclerosis course evolution. - Samuele Fiorini; Andrea Tacchino; Giampaolo Brichetto; Alessandro Verri; Annalisa Barla (CoRR, 2016)

Adenine: A HPC-Oriented Tool for Biological Data Exploration. - Samuele Fiorini; Federico Tomasi; Margherita Squillario; Annalisa Barla (CIBB, 2017)

Icing: Large-Scale Inference of Immunoglobulin Clonotypes. - Federico Tomasi; Margherita Squillario; Alessandro Verri; Davide Bagnara; Annalisa Barla (CIBB, 2017)

Cancer Mutational Signatures Identification with Sparse Dictionary Learning. - Veronica Tozzo; Annalisa Barla (CIBB, 2017)

Data-driven strategies for robust forecast of continuous glucose monitoring time-series. - Samuele Fiorini; Chiara Martini; Davide Malpassi; Renzo Cordera; Davide Maggi; Alessandro Verri; Annalisa Barla (EMBC, 2017)

Hey there's DALILA: a DictionAry LearnIng LibrAry. - Veronica Tozzo; Vanessa D'Amario; Annalisa Barla (ICCSW, 2017)

Temporal prediction of multiple sclerosis evolution from patient-centered outcomes. - Samuele Fiorini; Alessandro Verri; Annalisa Barla; Andrea Tacchino; Giampaolo Brichetto (MLHC, 2017)

Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings. - Vanessa D'Amario; Gabriele Arnulfo; Lino Nobili; Annalisa Barla (CIBB, 2018)

Visual Computing Methods for Assessing the Well-Being of Older People. - Chiara Martini; Francesca Odone; Nicoletta Noceti; Manuela Chessa; Annalisa Barla; Alessandro Verri; Alberto Cella; Alberto Pilotto; Gian Andrea Rollandi (VISIGRAPP (Revised Selected Papers), 2018)

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy. - Vanessa D'Amario; Federico Tomasi; Veronica Tozzo; Gabriele Arnulfo; Annalisa Barla; Lino Nobili (MLHC, 2018)

A Visual Computing Approach for Estimating the Motility Index in the Frail Elder. - Chiara Martini; Nicoletta Noceti; Manuela Chessa; Annalisa Barla; Alberto Cella; Gian Andrea Rollandi; Alberto Pilotto; Alessandro Verri; Francesca Odone (VISIGRAPP (5: VISAPP), 2018)

Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions. - Veronica Tozzo; Federico Tomasi; Margherita Squillario; Annalisa Barla (CoRR, 2018)

Data-Driven Continuous Assessment of Frailty in Older People. - Chiara Martini; Annalisa Barla; Francesca Odone; Alessandro Verri; Alberto Cella; Gian Andrea Rollandi; Alberto Pilotto (Frontiers Digit. Humanit., 2018)

Multi-parameters Model Selection for Network Inference. - Veronica Tozzo; Annalisa Barla (COMPLEX NETWORKS (1), 2019)

Temporal Pattern Detection in Time-Varying Graphical Models. - Federico Tomasi; Veronica Tozzo; Annalisa Barla (ICPR, 2020)

Missing Values in Multiple Joint Inference of Gaussian Graphical Models. - Veronica Tozzo; Davide Garbarino; Annalisa Barla (PGM, 2020)

A Robust Method for Statistical Testing of Empirical Power-Law Distributions. - Davide Garbarino; Veronica Tozzo; Andrea Vian; Annalisa Barla (WAW, 2020)

Attributed Graphettes-Based Preterm Infants Motion Analysis. - Davide Garbarino; Matteo Moro; Chiara Tacchino; Paolo Moretti; Maura Casadio; Francesca Odone; Annalisa Barla (COMPLEX NETWORKS, 2021)

Predicting Tennis Match Outcomes with Network Analysis and Machine Learning. - Firas Bayram; Davide Garbarino; Annalisa Barla (SOFSEM, 2021)

Where Do We Stand in Regularization for Life Science Studies? - Veronica Tozzo; Chloé-Agathe Azencott; Samuele Fiorini; Emanuele Fava; Andrea Trucco; Annalisa Barla (J. Comput. Biol., 2022)

The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection. - Rosanna Turrisi; Alessandro Verri; Annalisa Barla (CoRR, 2023)

AI-driven big web redesign: two case studies in Italian universities. - Andrea Vian; Daniele Pretolesi; Lucia Rampino; Annalisa Barla (Ital-IA, 2024)

Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices. - Rosanna Turrisi; Alessandro Verri; Annalisa Barla (Frontiers Comput. Neurosci., 2024)

Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks. - Daniele Pretolesi; Davide Garbarino; Daniele Giampaoli; Andrea Vian; Annalisa Barla (IEEE Trans. Emerg. Top. Comput., 2024)

An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease. - Rosanna Turrisi; Margherita Squillario; Giulia Abate; Daniela Letizia Uberti; Annalisa Barla (IEEE J. Biomed. Health Informatics, 2024)