Learning a Local Similarity Metric for Case-Based Reasoning. - Francesco Ricci 001; Paolo Avesani (ICCBR, 1995)

CBET: Acase Base Exploration Tool. - Paolo Avesani; Anna Perini; Francesco Ricci 001 (AI*IA, 1997)

Advanced Metrics for Class-Driven Similarity Search. - Paolo Avesani; Enrico Blanzieri; Francesco Ricci 001 (DEXA Workshop, 1999)

Adaptation-Dependent Retrieval Problem: A Formal Definition. - Paolo Avesani; Enrico Blanzieri (ICCBR Workshops, 1999)

Data Compression and Local Metrics for Nearest Neighbor Classification. - Francesco Ricci 001; Paolo Avesani (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Interactive Case-Based Planning for Forest Fire Management. - Paolo Avesani; Anna Perini; Francesco Ricci 001 (Appl. Intell., 2000)

A Logical Framwork for Fuzzy Collaborative Filtering. - Stefano Aguzzoli; Paolo Avesani; Brunella Gerla (FUZZ-IEEE, 2001)

Collaborative Radio Community. - Paolo Avesani; Paolo Massa; Michele Nori; Angelo Susi (AH, 2002)

Collaborative Case-Based Recommender Systems. - Stefano Aguzzoli; Paolo Avesani; Paolo Massa (ECCBR, 2002)

Recommendation and Personalization From Item to Collection. - Paolo Avesani; Paolo Massa (ECCBR Workshops, 2002)

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

Advertising Games for Web Services. - Alessandro Agostini; Paolo Avesani (OTM, 2003)

Case-Based Ranking for Decision Support Systems. - Paolo Avesani; Sara Ferrari; Angelo Susi (ICCBR, 2003)

Active Sampling for Feature Selection. - Sriharsha Veeramachaneni; Paolo Avesani (ICDM, 2003)

A Peer-to-Peer Advertising Game. - Paolo Avesani; Alessandro Agostini (ICSOC, 2003)

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

Trust-Aware Collaborative Filtering for Recommender Systems. - Paolo Massa; Paolo Avesani (CoopIS/DOA/ODBASE (1), 2004)

On the Discovery of the Semantic Context of Queries by Game-Playing. - Alessandro Agostini; Paolo Avesani (FQAS, 2004)

Supporting the Requirements Prioritization Process. A Machine Learning approach. - Paolo Avesani; Cinzia Bazzanella; Anna Perini; Angelo Susi (SEKE, 2004)

Controversial Users Demand Local Trust Metrics: An Experimental Study on Epinions.com Community. - Paolo Massa; Paolo Avesani (AAAI, 2005)

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

Advertising Strategies: Learning Competence through Cooperative Game Playing. - Paolo Avesani; Conor Hayes (ICCBR Workshops, 2005)

Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning. - Paolo Avesani; Conor Hayes; Marco Cova (ICCBR, 2005)

Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks. - Conor Hayes; Paolo Avesani; Emiliano Baldo; Padraig Cunningham (ICCBR, 2005)

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

Collaborative Case-Based Preference Elicitation. - Paolo Avesani; Angelo Susi; Daniele Zanoni (IEA/AIE, 2005)

Tagsocratic: Learning Shared Concepts on the Blogosphere. - Dina Goren-Bar; Israela Levi; Conor Hayes; Paolo Avesani (INTETAIN, 2005)

Active Sampling for Knowledge Discovery from Biomedical Data. - Sriharsha Veeramachaneni; Francesca Demichelis; Emanuele Olivetti; Paolo Avesani (PKDD, 2005)

Facing Scalability Issues in Requirements Prioritization with Machine Learning Techniques. - Paolo Avesani; Cinzia Bazzanella; Anna Perini; Angelo Susi (RE, 2005)

A trust-enhanced recommender system application: Moleskiing. - Paolo Avesani; Paolo Massa; Roberto Tiella (SAC, 2005)

Exploiting Domain Knowledge in Requirements Prioritization. - Paolo Avesani; Cinzia Bazzanella; Anna Perini; Angelo Susi (SEKE, 2005)

A Large Scale Taxonomy Mapping Evaluation. - Paolo Avesani; Fausto Giunchiglia; Mikalai Yatskevich (ISWC, 2005)

Shared lexicon for distributed annotations on the Web. - Paolo Avesani; Marco Cova (WWW, 2005)

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

Active sampling for detecting irrelevant features. - Sriharsha Veeramachaneni; Emanuele Olivetti; Paolo Avesani (ICML, 2006)

Using the Case-Based Ranking Methodology for Test Case Prioritization. - Paolo Tonella; Paolo Avesani; Angelo Susi (ICSM, 2006)

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

An Analysis of Bloggers, Topics and Tags for a Blog Recommender System. - Conor Hayes; Paolo Avesani; Uldis Bojars (WebMine, 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)

Using Tags and Clustering to Identify Topic-Relevant Blogs. - Conor Hayes; Paolo Avesani (ICWSM, 2007)

An Analysis of the Use of Tags in a Blog Recommender System. - Conor Hayes; Paolo Avesani; Sriharsha Veeramachaneni (IJCAI, 2007)

Trust-aware recommender systems. - Paolo Massa; Paolo Avesani (RecSys, 2007)

Trust Metrics on Controversial Users: Balancing Between Tyranny of the Majority. - Paolo Massa; Paolo Avesani (Int. J. Semantic Web Inf. Syst., 2007)

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

A Recommender for Active Preference Estimate. - Andrea Malossini; Paolo Avesani (DigiBiz, 2009)

A large dataset for the evaluation of ontology matching. - Fausto Giunchiglia; Mikalai Yatskevich; Paolo Avesani; Pavel Shvaiko (Knowl. Eng. Rev., 2009)

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

Trust Metrics in Recommender Systems. - Paolo Massa; Paolo Avesani (Computing with Social Trust, 2009)

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

Brain connectivity analysis by reduction to pair classification. - Emanuele Olivetti; Sriharsha Veeramachaneni; Susanne Greiner; Paolo Avesani (CIP, 2010)

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

Induction in Neuroscience with Classification: Issues and Solutions. - Emanuele Olivetti; Susanne Greiner; Paolo Avesani (MLINI, 2011)

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)

Testing for Information with Brain Decoding. - Emanuele Olivetti; Sriharsha Veeramachaneni; Paolo Avesani (PRNI, 2011)

Supervised Segmentation of Fiber Tracts. - Emanuele Olivetti; Paolo Avesani (SIMBAD, 2011)

Testing Multiclass Pattern Discrimination. - Emanuele Olivetti; Susanne Greiner; Paolo Avesani (PRNI, 2012)

User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses. - Mojtaba Khomami Abadi; Seyed Mostafa Kia; Subramanian Ramanathan; Paolo Avesani; Nicu Sebe (ACII, 2013)

Decoding affect in videos employing the MEG brain signal. - Mojtaba Khomami Abadi; Seyed Mostafa Kia; Subramanian Ramanathan; Paolo Avesani; Nicu Sebe (FG, 2013)

Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies. - Vittorio Iacovella; Paolo Avesani; Gabriele Miceli (MLMI, 2013)

Discrete Cosine Transform for MEG Signal Decoding. - Seyed Mostafa Kia; Emanuele Olivetti; Paolo Avesani (PRNI, 2013)

Fast Clustering for Interactive Tractography Segmentation. - Emanuele Olivetti; Thien Bao Nguyen; Eleftherios Garyfallidis; Nivedita Agarwal; Paolo Avesani (PRNI, 2013)

Brain Decoding via Graph Kernels. - Sandro Vega-Pons; Paolo Avesani (PRNI, 2013)

A Machine Learning Approach to Software Requirements Prioritization. - Anna Perini; Angelo Susi; Paolo Avesani (IEEE Trans. Software Eng., 2013)

Classification-Based Causality Detection in Time Series. - Danilo Benozzo; Emanuele Olivetti; Paolo Avesani (MLINI@NIPS, 2014)

Multi-Task Learning for Interpretation of Brain Decoding Models. - Seyed Mostafa Kia; Sandro Vega-Pons; Emanuele Olivetti; Paolo Avesani (MLINI@NIPS, 2014)

Mapping Tractography Across Subjects. - Thien Bao Nguyen; Emanuele Olivetti; Paolo Avesani (MLINI@NIPS, 2014)

Functional hyperalignment of resting state FMRI sessions driven by autonomic activity. - Vittorio Iacovella; Andrea Bertana; Paolo Avesani (PRNI, 2014)

Sensor-level maps with the kernel two-sample test. - Emanuele Olivetti; Seyed Mostafa Kia; Paolo Avesani (PRNI, 2014)

MEG decoding across subjects. - Emanuele Olivetti; Seyed Mostafa Kia; Paolo Avesani (PRNI, 2014)

Classification of inter-subject fMRI data based on graph kernels. - Sandro Vega-Pons; Paolo Avesani; Michael Andric; Uri Hasson (PRNI, 2014)

Movie Genre Classification by Exploiting MEG Brain Signals. - Pouya Ghaemmaghami; Mojtaba Khomami Abadi; Seyed Mostafa Kia; Paolo Avesani; Nicu Sebe (ICIAP (1), 2015)

Tractography Mapping for Dissimilarity Space across Subjects. - Paolo Avesani; Thien Bao Nguyen; Nivedita Agarwal; Mark Bromberg; Lubdha Shah; Emanuele Olivetti (PRNI, 2015)

Goals at risk? Machine learning at support of early assessment. - Paolo Avesani; Anna Perini; Alberto Siena; Angelo Susi (RE, 2015)

Statistical independence for the evaluation of classifier-based diagnosis. - Emanuele Olivetti; Susanne Greiner; Paolo Avesani (Brain Informatics, 2015)

The Approximation of the Dissimilarity Projection. - Emanuele Olivetti; Thien Bao Nguyen; Paolo Avesani (CoRR, 2015)

Tractome: a visual data mining tool for brain connectivity analysis. - Diana Porro-Muñoz; Emanuele Olivetti; Nusrat Sharmin; Thien Bao Nguyen; Eleftherios Garyfallidis; Paolo Avesani (Data Min. Knowl. Discov., 2015)

On pruning the search space for clustering ensemble problems. - Sandro Vega-Pons; Paolo Avesani (Neurocomputing, 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)

DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses. - Mojtaba Khomami Abadi; Ramanathan Subramanian; Seyed Mostafa Kia; Paolo Avesani; Ioannis Patras; Nicu Sebe (IEEE Trans. Affect. Comput., 2015)

Comparison of distances for supervised segmentation of white matter tractography. - Emanuele Olivetti; Giulia Berto; Pietro Gori; Nusrat Sharmin; Paolo Avesani (PRNI, 2017)

Supervised Estimation of Granger-Based Causality between Time Series. - Danilo Benozzo; Emanuele Olivetti; Paolo Avesani (Frontiers Neuroinformatics, 2017)

Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model. - Emanuele Olivetti; Danilo Benozzo; Jan Bím; Stefano Panzeri; Paolo Avesani (Frontiers Comput. Neurosci., 2018)

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. - Giulia Bertò; Paolo Avesani; Franco Pestilli; Daniel Bullock; Bradley Caron; Emanuele Olivetti (ISBI, 2019)

A Test for Shared Patterns in Cross-modal Brain Activation Analysis. - Elena Kalinina; Fabian Pedregosa; Vittorio Iacovella; Emanuele Olivetti; Paolo Avesani (CoRR, 2019)

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)

Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. - Gabriele Amorosino; Denis Peruzzo; Pietro Astolfi; Daniela Redaelli; Paolo Avesani; Filippo Arrigoni; Emanuele Olivetti (MLCN/RNO-AI@MICCAI, 2020)

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Jonathan Masci; Davide Boscaini; Paolo Avesani (MICCAI (7), 2020)

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. - Emanuele Olivetti; Pietro Gori; Pietro Astolfi; Giulia Bertò; Paolo Avesani (WBIR, 2020)

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. - Giulia Bertò; Daniel Bullock; Pietro Astolfi; Soichi Hayashi; Luca Zigiotto; Luciano Annicchiarico; Francesco Corsini; Alessandro De Benedictis; Silvio Sarubbo; Franco Pestilli; Paolo Avesani; Emanuele Olivetti (NeuroImage, 2021)

DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. - Gabriele Amorosino; Denis Peruzzo; Daniela Redaelli; Emanuele Olivetti; Filippo Arrigoni; Paolo Avesani (NeuroImage, 2022)

How Does White Matter Registration Affect Tractography Alignment? - Gabriele Amorosino; Emanuele Olivetti; Jorge Jovicich; Paolo Avesani (ISBI, 2023)

brainlife.io: A decentralized and open source cloud platform to support neuroscience research. - Soichi Hayashi; Bradley Caron; Anibal Sólon Heinsfeld; Sophia Vinci-Booher; Brent C. McPherson; Daniel N. Bullock; Giulia Berto; J. Guiomar Niso; Sandra Hanekamp; Daniel Levitas; Lindsey Kitchell; Josiah Leong; et al. (CoRR, 2023)

Supervised tractogram filtering using Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Silvio Sarubbo; Jonathan Masci; Davide Boscaini; Paolo Avesani (Medical Image Anal., 2023)

Can Transfer Learning Improve Supervised Segmentation of White Matter Bundles in Glioma Patients? - Chiara Riccardi; Sofia Ghezzi; Gabriele Amorosino; Luca Zigiotto; Silvio Sarubbo; Jorge Jovicich; Paolo Avesani (CDMRI@MICCAI, 2024)

Supervised white matter bundle segmentation in glioma patients with transfer learning. - Chiara Riccardi; Ludovico Coletta; Sofia Ghezzi; Gabriele Amorosino; Luca Zigiotto; Jorge Jovicich; Silvio Sarubbo; Paolo Avesani (Medical Image Anal., 2025)