Paolo Avesani

发表

A Machine Learning Approach to Software Requirements Prioritization

Anna Perini, Angelo Susi, Paolo Avesani, 2013, IEEE Transactions on Software Engineering.

Tractome: a visual data mining tool for brain connectivity analysis

Paolo Avesani, Diana Porro-Muñoz, Emanuele Olivetti, 2015, Data Mining and Knowledge Discovery.

Mapping Tractography Across Subjects pdf

Paolo Avesani, Emanuele Olivetti, Thien Bao Nguyen, 2014, MLINI@NIPS.

Alignment of Tractograms As Graph Matching

Paolo Avesani, Emanuele Olivetti, Nusrat Sharmin, 2016, Front. Neurosci..

Active sampling for feature selection

Paolo Avesani, Sriharsha Veeramachaneni, P. Avesani, 2003, Third IEEE International Conference on Data Mining.

Advertising Strategies: Learning Competence through Cooperative Game Playing

Paolo Avesani, Conor Hayes, 2005, ICCBR Workshops.

Multi-Task Learning for Interpretation of Brain Decoding Models

Sandro Vega-Pons, Paolo Avesani, Emanuele Olivetti, 2014, MLINI@NIPS.

Description of alignment evaluation and benchmarking results

Heiner Stuckenschmidt, Jérôme Euzenat, Willem Robert van Hage, 2007 .

Exploiting Domain Knowledge in Requirements Prioritization

Anna Perini, Angelo Susi, Paolo Avesani, 2005, SEKE.

Statistical independence for the evaluation of classifier-based diagnosis

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2014, Brain Informatics.

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Andrew J. Saykin, Daniel Bullock, Olaf Sporns, 2018, Scientific Data.

Hierarchical Dirichlet model for document classification

Diego Sona, Paolo Avesani, Sriharsha Veeramachaneni, 2005, ICML '05.

Supervised Segmentation of Fiber Tracts

Paolo Avesani, Emanuele Olivetti, P. Avesani, 2011, SIMBAD.

Multiple-Scale Visualization of Large Data Based on Hierarchical Clustering

Paolo Avesani, Emanuele Olivetti, Bao T. Nguyen, 2014 .

Movie Genre Classification by Exploiting MEG Brain Signals

Nicu Sebe, Paolo Avesani, Mojtaba Khomami Abadi, 2015, ICIAP.

Open Diffusion Data Derivatives

Paolo Avesani, Soichi Hayashi, Franco Pestilli, 2017 .

Inferring Cognition from fMRI Brain Images

Diego Sona, Paolo Avesani, Emanuele Olivetti, 2007, ICANN.

Learning to Interpret Cognitive States from fMRI Brain Images

Diego Sona, Paolo Avesani, Emanuele Olivetti, 2009, Computational Intelligence and Bioengineering.

Using Tags and Clustering to Identify Topic-Relevant Blogs

Paolo Avesani, Conor Hayes, 2007, ICWSM.

Interactive Case-Based Planning for Forest Fire Management

Francesco Ricci, Anna Perini, Paolo Avesani, 2000, Applied Intelligence.

Case-Based Ranking for Decision Support Systems

Angelo Susi, Paolo Avesani, Sara Ferrari, 2003, ICCBR.

Functional hyperalignment of resting state FMRI sessions driven by autonomic activity

Paolo Avesani, Vittorio Iacovella, Andrea Bertana, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Brain Decoding: Biases in Error Estimation

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2010, 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging.

Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model

Stefano Panzeri, Paolo Avesani, Emanuele Olivetti, 2018, Front. Comput. Neurosci..

On the Discovery of the Semantic Context of Queries by Game-Playing

Paolo Avesani, Alessandro Agostini, P. Avesani, 2004, FQAS.

Goals at risk? Machine learning at support of early assessment

Anna Perini, Alberto Siena, Angelo Susi, 2015, 2015 IEEE 23rd International Requirements Engineering Conference (RE).

Classification-Based Causality Detection in Time Series

Paolo Avesani, Emanuele Olivetti, Danilo Benozzo, 2014, MLINI@NIPS.

Induction in Neuroscience with Classification: Issues and Solutions

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2011, MLINI.

Fast Clustering for Interactive Tractography Segmentation

Paolo Avesani, Nivedita Agarwal, Emanuele Olivetti, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Data Compression and Local Metrics for Nearest Neighbor Classification

Francesco Ricci, Paolo Avesani, F. Ricci, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Active Sampling for Data Mining

Paolo Avesani, Emanuele Olivetti, P. Avesani, 2004 .

White Matter Tract Segmentation as Multiple Linear Assignment Problems

Paolo Avesani, Emanuele Olivetti, Nusrat Sharmin, 2018, Front. Neurosci..

Testing for Information with Brain Decoding

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Trust-Aware Collaborative Filtering for Recommender Systems

Paolo Avesani, Paolo Massa, P. Massa, 2004, CoopIS/DOA/ODBASE.

ADHD diagnosis from multiple data sources with batch effects

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2012, Front. Syst. Neurosci..

A trust-enhanced recommender system application: Moleskiing

Paolo Avesani, Paolo Massa, Roberto Tiella, 2005, SAC '05.

Advertising Games for Web Services

Paolo Avesani, Alessandro Agostini, P. Avesani, 2003, OTM.

Variability in the analysis of a single neuroimaging dataset by many teams

Luca Turella, Brice A. Kuhl, Russell A. Poldrack, 2019, Nature.

A Large Scale Dataset for the Evaluation of Ontology Matching Systems

Fausto Giunchiglia, Pavel Shvaiko, Paolo Avesani, 2008 .

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem

Paolo Avesani, Emanuele Olivetti, Pietro Gori, 2020, WBIR.

Active Learning of Feature Relevance

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2007 .

Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks

Padraig Cunningham, Paolo Avesani, Conor Hayes, 2005, ICCBR.

A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model

Diego Sona, Paolo Avesani, Emanuele Olivetti, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

The Twofold Integration of CBR in Decision Support Systems

Anna Perini, Paolo Avesani, Francesco Ricci, 1998 .

Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning

Paolo Avesani, Conor Hayes, Marco Cova, 2005, ICCBR.

A large dataset for the evaluation of ontology matching

Fausto Giunchiglia, Pavel Shvaiko, Paolo Avesani, 2009, The Knowledge Engineering Review.

Regularization for Unsupervised Classification on Taxonomies

Diego Sona, Paolo Avesani, Sriharsha Veeramachaneni, 2006, ISMIS.

Collaborative Case-Based Recommender Systems

Paolo Avesani, Stefano Aguzzoli, Paolo Massa, 2002, ECCBR.

DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses

Subramanian Ramanathan, Nicu Sebe, Ioannis Patras, 2015, IEEE Transactions on Affective Computing.

Differential Effects of Brain Disorders on Structural and Functional Connectivity

Angelo Bifone, Alessandro Gozzi, Sandro Vega-Pons, 2017, Front. Neurosci..

Learning BOLD Response in fMRI by Reservoir Computing

Hananel Hazan, Diego Sona, Paolo Avesani, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Testing Multiclass Pattern Discrimination

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

An Analysis of Bloggers, Topics and Tags for a Blog Recommender System

Paolo Avesani, Uldis Bojars, Conor Hayes, 2006, WebMine.

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine

Hananel Hazan, Diego Sona, Paolo Avesani, 2015, Neural Networks.

Collaborative Radio Community

Angelo Susi, Paolo Avesani, Paolo Massa, 2002, AH.

Tractography Mapping for Dissimilarity Space across Subjects

Paolo Avesani, Nivedita Agarwal, Emanuele Olivetti, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Tagsocratic: Learning Shared Concepts on the Blogosphere

Paolo Avesani, Dina Goren-Bar, Conor Hayes, 2005, INTETAIN.

Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy

Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti, 2020, MLCN/RNO-AI@MICCAI.

Decoding affect in videos employing the MEG brain signal

Subramanian Ramanathan, Nicu Sebe, Paolo Avesani, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

A Recommender for Active Preference Estimate

Paolo Avesani, Andrea Malossini, P. Avesani, 2009, DigiBiz.

Comparison of distances for supervised segmentation of white matter tractography

Pietro Gori, Paolo Avesani, Emanuele Olivetti, 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Tractogram filtering of anatomically non-plausible fibers with geometric deep learning

Jonathan Masci, Paolo Avesani, Emanuele Olivetti, 2020, MICCAI.

A Logical Framework for fizzy Collaborative Filtering

Paolo Avesani, Brunella Gerla, 2001 .

Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies

Paolo Avesani, Gabriele Miceli, Vittorio Iacovella, 2013, MLMI.

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

A Peer-to-Peer Advertising Game

Paolo Avesani, Alessandro Agostini, 2003, ICSOC.

Trust Metrics on Controversial Users: Balancing Between Tyranny of the Majority

Paolo Avesani, Paolo Massa, P. Massa, 2007, Int. J. Semantic Web Inf. Syst..

Bootstrapping for hierarchical document classification

Diego Sona, Paolo Avesani, Giordano Adami, 2003, CIKM '03.

MEG decoding across subjects

Paolo Avesani, Emanuele Olivetti, Seyed Mostafa Kia, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

A Service Oriented Architecture for Advertising Games

Paolo Avesani, Marco Cova, Roberto Tiella, 2004 .

Case–Based Ranking for Environmental Risk Assessment

Angelo Susi, Paolo Avesani, 2010 .

Controversial Users Demand Local Trust Metrics: An Experimental Study on Epinions.com Community

Paolo Avesani, Paolo Massa, P. Massa, 2005, AAAI.

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2020, NeuroImage.

An Analysis of the Use of Tags in a Blog Recommender System

Paolo Avesani, Conor Hayes, Sriharsha Veeramachaneni, 2007, IJCAI.

Sensor-level maps with the kernel two-sample test

Paolo Avesani, Emanuele Olivetti, Seyed Mostafa Kia, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

A Test for Shared Patterns in Cross-modal Brain Activation Analysis pdf

Paolo Avesani, Emanuele Olivetti, Fabian Pedregosa, 2019, ArXiv.

User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses

Subramanian Ramanathan, Nicu Sebe, Paolo Avesani, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Collaborative Case-Based Preference Elicitation

Angelo Susi, Paolo Avesani, Daniele Zanoni, 2005, IEA/AIE.

Learning a Local Similarity Metric for Case-Based Reasoning

Francesco Ricci, Paolo Avesani, F. Ricci, 1995, ICCBR.

Trust-aware recommender systems

Paolo Avesani, Paolo Massa, P. Massa, 2007, RecSys '07.

A logical framework for fuzzy collaborative filtering

Paolo Avesani, Brunella Gerla, Stefano Aguzzoli, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Clustering documents in a web directory

Diego Sona, Paolo Avesani, Giordano Adami, 2003, WIDM '03.

Feature Rating by Random Subspaces for Functional Brain Mapping

Diego Sona, Paolo Avesani, 2010, Brain Informatics.

Active sampling for detecting irrelevant features

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2006, ICML.

Active Sampling for Knowledge Discovery from Biomedical Data

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2005, PKDD.

Variability in the analysis of a single neuroimaging dataset by many teams

Bradley C. Love, Angela R. Laird, Georgios D. Mitsis, 2020, Nature.

Clustering documents into a web directory for bootstrapping a supervised classification

Diego Sona, Paolo Avesani, Giordano Adami, 2005, Data Knowl. Eng..

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2020, NeuroImage.

Trust Metrics in Recommender Systems

Paolo Avesani, Paolo Massa, P. Massa, 2009, Computing with Social Trust.

Learning Contextualised Weblog Topics

Paolo Avesani, Paolo Massa, Conor Hayes, 2005 .

Adaptive Querying to Knowledge Exchange

Paolo Avesani, Alessandro Agostini, Itc-Irst Trento, 2004 .

Brain Decoding via Graph Kernels

Sandro Vega-Pons, Paolo Avesani, P. Avesani, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Generating Reference Mappings for Evaluating Ontology Matching Tools

Heiner Stuckenschmidt, Paolo Avesani, Mikalai Yatskevich, 2006 .

Bayesian estimation of directed functional coupling from brain recordings

Paolo Avesani, Emanuele Olivetti, Pasi Jylänki, 2017, PloS one.

Discrete Cosine Transform for MEG Signal Decoding

Paolo Avesani, Emanuele Olivetti, Seyed Mostafa Kia, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Adaptation-Dependent Retrieval Problem: A Formal Definition

Enrico Blanzieri, Paolo Avesani, E. Blanzieri, 1999, ICCBR Workshops.

Advanced metrics for class-driven similarity search

Francesco Ricci, Enrico Blanzieri, Paolo Avesani, 1999, Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99.

Pairwise Analysis for Longitudinal fMRI Studies

Diego Sona, Paolo Avesani, Gabriele Miceli, 2011, MLINI.

Alignment of Tractograms as Linear Assignment Problem

Paolo Avesani, Emanuele Olivetti, Nusrat Sharmin, 2016 .

On pruning the search space for clustering ensemble problems

Sandro Vega-Pons, Paolo Avesani, P. Avesani, 2015, Neurocomputing.

Brain connectivity analysis by reduction to pair classification

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Supporting the Requirements Prioritization Process. A Machine Learning approach

Anna Perini, Angelo Susi, Paolo Avesani, 2004, SEKE.

A Large Scale Dataset for the Evaluation of Matching Systems

Fausto Giunchiglia, Paolo Avesani, Mikalai Yatskevich, 2006 .

Helping Physicians to Organize Guidelines Within Conceptual Hierarchies

Diego Sona, Paolo Avesani, Robert Moskovitch, 2005, AIME.

Evaluation Framework for Local Ontologies Interoperability

Paolo Avesani, 2002 .

A Large Scale Taxonomy Mapping Evaluation

Fausto Giunchiglia, Paolo Avesani, Mikalai Yatskevich, 2005, International Semantic Web Conference.

Supervised Estimation of Granger-Based Causality between Time Series

Paolo Avesani, Emanuele Olivetti, Danilo Benozzo, 2017, Front. Neuroinform..

Moleskiing.it: a Trust-aware Recommender System for Ski Mountaineering

Paolo Avesani, Paolo Massa, Roberto Tiella, 2005 .

Using the Case-Based Ranking Methodology for Test Case Prioritization

Paolo Tonella, Angelo Susi, Paolo Avesani, 2006, 2006 22nd IEEE International Conference on Software Maintenance.

Classification of inter-subject fMRI data based on graph kernels

Sandro Vega-Pons, Paolo Avesani, Uri Hasson, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Facing scalability issues in requirements prioritization with machine learning techniques

Anna Perini, Angelo Susi, Paolo Avesani, 2005, 13th IEEE International Conference on Requirements Engineering (RE'05).

Multivariate Brain Mapping by Random Subspaces

Diego Sona, Paolo Avesani, P. Avesani, 2010, 2010 20th International Conference on Pattern Recognition.

The Kernel Two-Sample Test for Brain Networks

Sandro Vega-Pons, Paolo Avesani, Emanuele Olivetti, 2015, 1511.06120.

Shared lexicon for distributed annotations on the Web

Paolo Avesani, Marco Cova, 2005, WWW '05.

A relational cascade correlation for structured outputs

Diego Sona, Paolo Avesani, Nicola Polettini, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Building Quality-Based Views of the Web

Diego Sona, Paolo Avesani, Enrico Triolo, 2007, AI*IA.

CBET: Acase Base Exploration Tool

Francesco Ricci, Anna Perini, Paolo Avesani, 1997, AI*IA.

Clustering with Propagation for Hierarchical Document Classification

Diego Sona, Paolo Avesani, Sriharsha Veeramachaneni, 2004 .

Photogrammetry of the Human Brain: A Novel Method for Three-Dimensional Quantitative Exploration of the Structural Connectivity in Neurosurgery and Neurosciences.

Fabio Menna, Erica Nocerino, Fabio Remondino, 2018, World neurosurgery.

Multi-Classification of Clinical Guidelines in Concept Hierarchies

Diego Sona, Paolo Avesani, Robert Moskovitch, 2005 .

Nearest Neighbor Classiication with a Local Asymmetrically Weighted Metric

Francesco Ricci, Paolo Avesani, 1996 .