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Paolo Avesani
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2020 – today
- 2023
- [j16]Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Supervised tractogram filtering using Geometric Deep Learning. Medical Image Anal. 90: 102893 (2023) - [c74]Gabriele Amorosino, Emanuele Olivetti, Jorge Jovicich, Paolo Avesani:
How Does White Matter Registration Affect Tractography Alignment? ISBI 2023: 1-5 - [i8]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, Filipi N. Silva, Serge Koudoro, Hanna Willis, Jasleen Jolly, Derek Pisner, Taylor Zuidema, Jan Kurzwaski, Koulla Mikellidou, Aurore Bussalb, Christopher Rorden, Conner Victory, Dheeraj Bhatia, Dogu Baran Aydogan, Frank C. Yeh, Franco Delogu, Javier Guaje, Jelle Veraart, Jeremy Fischer, Joshua Faskowitz, Maximilien Chaumon, Ricardo Fabrega, David Hunt, Shawn McKee, Shaw T. Brown, Stephanie Heyman, Vittorio Iacovella, Amanda Mejia, Daniele Marinazzo, R. Cameron Craddock, Emanuele Olivetti, Jamie Hanson, Paolo Avesani, Eleftherios Garyfallidis, Daniel Stanzione, James P. Carson, Robert Henschel, David Y. Hancock, Craig A. Stewart, David M. Schnyer, Damian Eke, Russell A. Poldrack, Nathalie George, Holly Bridge, Ilaria Sani, Winrich Freiwald, Aina Puce, Nicholas Port, Franco Pestilli:
brainlife.io: A decentralized and open source cloud platform to support neuroscience research. CoRR abs/2306.02183 (2023) - 2022
- [j15]Gabriele Amorosino, Denis Peruzzo, Daniela Redaelli, Emanuele Olivetti, Filippo Arrigoni, Paolo Avesani:
DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. NeuroImage 260: 119486 (2022) - [i7]Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Supervised Tractogram Filtering using Geometric Deep Learning. CoRR abs/2212.03300 (2022) - 2021
- [j14]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:
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage 224: 117402 (2021) - 2020
- [c73]Pietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani:
A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. ISBI 2020: 267-270 - [c72]Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti:
Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. MLCN/RNO-AI@MICCAI 2020: 13-22 - [c71]Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. MICCAI (7) 2020: 291-301 - [c70]Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani:
Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. WBIR 2020: 3-11 - [i6]Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. CoRR abs/2003.11013 (2020)
2010 – 2019
- 2019
- [c69]Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti:
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. ISBI 2019: 135-138 - [i5]Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti:
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. CoRR abs/1907.07077 (2019) - [i4]Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella, Emanuele Olivetti, Paolo Avesani:
A Test for Shared Patterns in Cross-modal Brain Activation Analysis. CoRR abs/1910.05271 (2019) - 2018
- [j13]Emanuele Olivetti, Danilo Benozzo, Jan Bím, Stefano Panzeri, Paolo Avesani:
Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model. Frontiers Comput. Neurosci. 12: 38 (2018) - 2017
- [j12]Danilo Benozzo, Emanuele Olivetti, Paolo Avesani:
Supervised Estimation of Granger-Based Causality between Time Series. Frontiers Neuroinformatics 11: 68 (2017) - [c68]Emanuele Olivetti, Giulia Berto, Pietro Gori, Nusrat Sharmin, Paolo Avesani:
Comparison of distances for supervised segmentation of white matter tractography. PRNI 2017: 1-4 - 2016
- [i3]Thien Bao Nguyen, Emanuele Olivetti, Paolo Avesani:
Mapping Tractography Across Subjects. CoRR abs/1601.08165 (2016) - 2015
- [j11]Emanuele Olivetti, Susanne Greiner, Paolo Avesani:
Statistical independence for the evaluation of classifier-based diagnosis. Brain Informatics 2(1): 13-19 (2015) - [j10]Diana Porro-Muñoz, Emanuele Olivetti, Nusrat Sharmin, Thien Bao Nguyen, Eleftherios Garyfallidis, Paolo Avesani:
Tractome: a visual data mining tool for brain connectivity analysis. Data Min. Knowl. Discov. 29(5): 1258-1279 (2015) - [j9]Sandro Vega-Pons, Paolo Avesani:
On pruning the search space for clustering ensemble problems. Neurocomputing 150: 481-489 (2015) - [j8]Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona:
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. Neural Networks 70: 61-73 (2015) - [j7]Mojtaba Khomami Abadi, Ramanathan Subramanian, Seyed Mostafa Kia, Paolo Avesani, Ioannis Patras, Nicu Sebe:
DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses. IEEE Trans. Affect. Comput. 6(3): 209-222 (2015) - [c67]Pouya Ghaemmaghami, Mojtaba Khomami Abadi, Seyed Mostafa Kia, Paolo Avesani, Nicu Sebe:
Movie Genre Classification by Exploiting MEG Brain Signals. ICIAP (1) 2015: 683-693 - [c66]Paolo Avesani, Thien Bao Nguyen, Nivedita Agarwal, Mark Bromberg, Lubdha Shah, Emanuele Olivetti:
Tractography Mapping for Dissimilarity Space across Subjects. PRNI 2015: 13-16 - [c65]Paolo Avesani, Anna Perini, Alberto Siena, Angelo Susi:
Goals at risk? Machine learning at support of early assessment. RE 2015: 252-255 - [i2]Emanuele Olivetti, Thien Bao Nguyen, Paolo Avesani:
The Approximation of the Dissimilarity Projection. CoRR abs/1504.00593 (2015) - 2014
- [c64]Seyed Mostafa Kia, Sandro Vega-Pons, Emanuele Olivetti, Paolo Avesani:
Multi-Task Learning for Interpretation of Brain Decoding Models. MLINI@NIPS 2014: 3-11 - [c63]Thien Bao Nguyen, Emanuele Olivetti, Paolo Avesani:
Mapping Tractography Across Subjects. MLINI@NIPS 2014: 21-28 - [c62]Danilo Benozzo, Emanuele Olivetti, Paolo Avesani:
Classification-Based Causality Detection in Time Series. MLINI@NIPS 2014: 85-93 - [c61]Vittorio Iacovella, Andrea Bertana, Paolo Avesani:
Functional hyperalignment of resting state FMRI sessions driven by autonomic activity. PRNI 2014: 1-4 - [c60]Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani:
Sensor-level maps with the kernel two-sample test. PRNI 2014: 1-4 - [c59]Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani:
MEG decoding across subjects. PRNI 2014: 1-4 - [c58]Sandro Vega-Pons, Paolo Avesani, Michael Andric, Uri Hasson:
Classification of inter-subject fMRI data based on graph kernels. PRNI 2014: 1-4 - [i1]Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani:
MEG Decoding Across Subjects. CoRR abs/1404.4175 (2014) - 2013
- [j6]Anna Perini, Angelo Susi, Paolo Avesani:
A Machine Learning Approach to Software Requirements Prioritization. IEEE Trans. Software Eng. 39(4): 445-461 (2013) - [c57]Mojtaba Khomami Abadi, Seyed Mostafa Kia, Subramanian Ramanathan, Paolo Avesani, Nicu Sebe:
User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses. ACII 2013: 582-587 - [c56]Mojtaba Khomami Abadi, Seyed Mostafa Kia, Subramanian Ramanathan, Paolo Avesani, Nicu Sebe:
Decoding affect in videos employing the MEG brain signal. FG 2013: 1-6 - [c55]Vittorio Iacovella, Paolo Avesani, Gabriele Miceli:
Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies. MLMI 2013: 155-162 - [c54]Emanuele Olivetti, Thien Bao Nguyen, Eleftherios Garyfallidis, Nivedita Agarwal, Paolo Avesani:
Fast Clustering for Interactive Tractography Segmentation. PRNI 2013: 42-45 - [c53]Seyed Mostafa Kia, Emanuele Olivetti, Paolo Avesani:
Discrete Cosine Transform for MEG Signal Decoding. PRNI 2013: 132-135 - [c52]Sandro Vega-Pons, Paolo Avesani:
Brain Decoding via Graph Kernels. PRNI 2013: 136-139 - 2012
- [c51]Emanuele Olivetti, Susanne Greiner, Paolo Avesani:
Testing Multiclass Pattern Discrimination. PRNI 2012: 57-60 - 2011
- [c50]Emanuele Olivetti, Susanne Greiner, Paolo Avesani:
Induction in Neuroscience with Classification: Issues and Solutions. MLINI 2011: 42-50 - [c49]Diego Sona, Paolo Avesani, Stefano Magon, Gianpaolo Basso, Gabriele Miceli:
Pairwise Analysis for Longitudinal fMRI Studies. MLINI 2011: 132-139 - [c48]Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani:
Testing for Information with Brain Decoding. PRNI 2011: 33-36 - [c47]Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona:
Learning BOLD Response in fMRI by Reservoir Computing. PRNI 2011: 57-60 - [c46]Emanuele Olivetti, Paolo Avesani:
Supervised Segmentation of Fiber Tracts. SIMBAD 2011: 261-274 - 2010
- [c45]Diego Sona, Paolo Avesani:
Feature Rating by Random Subspaces for Functional Brain Mapping. Brain Informatics 2010: 112-123 - [c44]Emanuele Olivetti, Sriharsha Veeramachaneni, Susanne Greiner, Paolo Avesani:
Brain connectivity analysis by reduction to pair classification. CIP 2010: 275-280 - [c43]Diego Sona, Paolo Avesani:
Multivariate Brain Mapping by Random Subspaces. ICPR 2010: 2576-2579
2000 – 2009
- 2009
- [j5]Fausto Giunchiglia, Mikalai Yatskevich, Paolo Avesani, Pavel Shvaiko:
A large dataset for the evaluation of ontology matching. Knowl. Eng. Rev. 24(2): 137-157 (2009) - [c42]Andrea Malossini, Paolo Avesani:
A Recommender for Active Preference Estimate. DigiBiz 2009: 19-26 - [p2]Diego Sona, Emanuele Olivetti, Paolo Avesani, Sriharsha Veeramachaneni:
Learning to Interpret Cognitive States from fMRI Brain Images. Computational Intelligence and Bioengineering 2009: 21-35 - [p1]Paolo Massa, Paolo Avesani:
Trust Metrics in Recommender Systems. Computing with Social Trust 2009: 259-285 - 2008
- [c41]Nicola Polettini, Diego Sona, Paolo Avesani:
A relational cascade correlation for structured outputs. IJCNN 2008: 2799-2805 - 2007
- [j4]Paolo Massa, Paolo Avesani:
Trust Metrics on Controversial Users: Balancing Between Tyranny of the Majority. Int. J. Semantic Web Inf. Syst. 3(1): 39-64 (2007) - [c40]Enrico Triolo, Nicola Polettini, Diego Sona, Paolo Avesani:
Building Quality-Based Views of the Web. AI*IA 2007: 519-530 - [c39]Diego Sona, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani:
Inferring Cognition from fMRI Brain Images. ICANN (2) 2007: 869-878 - [c38]Conor Hayes, Paolo Avesani:
Using Tags and Clustering to Identify Topic-Relevant Blogs. ICWSM 2007 - [c37]Conor Hayes, Paolo Avesani, Sriharsha Veeramachaneni:
An Analysis of the Use of Tags in a Blog Recommender System. IJCAI 2007: 2772-2777 - [c36]Paolo Massa, Paolo Avesani:
Trust-aware recommender systems. RecSys 2007: 17-24 - 2006
- [c35]Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani:
Active sampling for detecting irrelevant features. ICML 2006: 961-968 - [c34]Paolo Tonella, Paolo Avesani, Angelo Susi:
Using the Case-Based Ranking Methodology for Test Case Prioritization. ICSM 2006: 123-133 - [c33]Diego Sona, Sriharsha Veeramachaneni, Nicola Polettini, Paolo Avesani:
Regularization for Unsupervised Classification on Taxonomies. ISMIS 2006: 691-696 - [c32]Conor Hayes, Paolo Avesani, Uldis Bojars:
An Analysis of Bloggers, Topics and Tags for a Blog Recommender System. WebMine 2006: 1-20 - 2005
- [j3]Giordano Adami, Paolo Avesani, Diego Sona:
Clustering documents into a web directory for bootstrapping a supervised classification. Data Knowl. Eng. 54(3): 301-325 (2005) - [c31]Paolo Massa, Paolo Avesani:
Controversial Users Demand Local Trust Metrics: An Experimental Study on Epinions.com Community. AAAI 2005: 121-126 - [c30]Diego Sona, Paolo Avesani, Robert Moskovitch:
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. AIME 2005: 141-145 - [c29]Paolo Avesani, Conor Hayes, Marco Cova:
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning. ICCBR 2005: 35-49 - [c28]Paolo Avesani, Conor Hayes:
Advertising Strategies: Learning Competence through Cooperative Game Playing. ICCBR Workshops 2005: 165-174 - [c27]Conor Hayes, Paolo Avesani, Emiliano Baldo, Padraig Cunningham:
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks. ICCBR 2005: 312-326 - [c26]Sriharsha Veeramachaneni, Diego Sona, Paolo Avesani:
Hierarchical Dirichlet model for document classification. ICML 2005: 928-935 - [c25]Paolo Avesani, Angelo Susi, Daniele Zanoni:
Collaborative Case-Based Preference Elicitation. IEA/AIE 2005: 752-761 - [c24]Dina Goren-Bar, Israela Levi, Conor Hayes, Paolo Avesani:
Tagsocratic: Learning Shared Concepts on the Blogosphere. INTETAIN 2005: 324-327 - [c23]Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti, Paolo Avesani:
Active Sampling for Knowledge Discovery from Biomedical Data. PKDD 2005: 343-354 - [c22]Paolo Avesani, Cinzia Bazzanella, Anna Perini, Angelo Susi:
Facing Scalability Issues in Requirements Prioritization with Machine Learning Techniques. RE 2005: 297-306 - [c21]Paolo Avesani, Paolo Massa, Roberto Tiella:
A trust-enhanced recommender system application: Moleskiing. SAC 2005: 1589-1593 - [c20]Paolo Avesani, Cinzia Bazzanella, Anna Perini, Angelo Susi:
Exploiting Domain Knowledge in Requirements Prioritization. SEKE 2005: 467-472 - [c19]Paolo Avesani, Fausto Giunchiglia, Mikalai Yatskevich:
A Large Scale Taxonomy Mapping Evaluation. ISWC 2005: 67-81 - [c18]Paolo Avesani, Marco Cova:
Shared lexicon for distributed annotations on the Web. WWW 2005: 207-214 - 2004
- [c17]Paolo Massa, Paolo Avesani:
Trust-Aware Collaborative Filtering for Recommender Systems. CoopIS/DOA/ODBASE (1) 2004: 492-508 - [c16]Alessandro Agostini, Paolo Avesani:
On the Discovery of the Semantic Context of Queries by Game-Playing. FQAS 2004: 203-216 - [c15]Paolo Avesani, Cinzia Bazzanella, Anna Perini, Angelo Susi:
Supporting the Requirements Prioritization Process. A Machine Learning approach. SEKE 2004: 306-311 - 2003
- [c14]Giordano Adami, Paolo Avesani, Diego Sona:
Bootstrapping for hierarchical document classification. CIKM 2003: 295-302 - [c13]Alessandro Agostini, Paolo Avesani:
Advertising Games for Web Services. OTM 2003: 93-109 - [c12]Paolo Avesani, Sara Ferrari, Angelo Susi:
Case-Based Ranking for Decision Support Systems. ICCBR 2003: 35-49 - [c11]Sriharsha Veeramachaneni, Paolo Avesani:
Active Sampling for Feature Selection. ICDM 2003: 665-668 - [c10]Paolo Avesani, Alessandro Agostini:
A Peer-to-Peer Advertising Game. ICSOC 2003: 28-42 - [c9]Giordano Adami, Paolo Avesani, Diego Sona:
Clustering documents in a web directory. WIDM 2003: 66-73 - 2002
- [c8]Paolo Avesani, Paolo Massa, Michele Nori, Angelo Susi:
Collaborative Radio Community. AH 2002: 462-465 - [c7]Paolo Avesani, Paolo Massa:
Recommendation and Personalization From Item to Collection. ECCBR Workshops 2002: 8-9 - [c6]Stefano Aguzzoli, Paolo Avesani, Paolo Massa:
Collaborative Case-Based Recommender Systems. ECCBR 2002: 460-474 - 2001
- [c5]Stefano Aguzzoli, Paolo Avesani, Brunella Gerla:
A Logical Framwork for Fuzzy Collaborative Filtering. FUZZ-IEEE 2001: 1043-1046 - 2000
- [j2]Paolo Avesani, Anna Perini, Francesco Ricci:
Interactive Case-Based Planning for Forest Fire Management. Appl. Intell. 13(1): 41-57 (2000)
1990 – 1999
- 1999
- [j1]Francesco Ricci, Paolo Avesani:
Data Compression and Local Metrics for Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 21(4): 380-384 (1999) - [c4]Paolo Avesani, Enrico Blanzieri, Francesco Ricci:
Advanced Metrics for Class-Driven Similarity Search. DEXA Workshop 1999: 223-227 - [c3]Paolo Avesani, Enrico Blanzieri:
Adaptation-Dependent Retrieval Problem: A Formal Definition. ICCBR Workshops 1999: 3-6 - 1997
- [c2]Paolo Avesani, Anna Perini, Francesco Ricci:
CBET: Acase Base Exploration Tool. AI*IA 1997: 405-416 - 1995
- [c1]Francesco Ricci, Paolo Avesani:
Learning a Local Similarity Metric for Case-Based Reasoning. ICCBR 1995: 301-312
Coauthor Index
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