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2020 – today
- 2020
[c71]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- [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. Knowledge Eng. Review 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. International Semantic Web Conference 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. CoopIS/DOA/ODBASE 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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last updated on 2020-06-11 23:59 CEST by the dblp team
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