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Paolo Avesani
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2020 – today
- 2023
- [j16]Pietro Astolfi
, Ruben Verhagen
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 Solon 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
brainlife.io: A decentralized and open source cloud platform to support neuroscience research. CoRR abs/2306.02183 (2023) - 2022
- [j15]Gabriele Amorosino
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
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage 224: 117402 (2021) - 2020
- [c73]Pietro Astolfi
A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. ISBI 2020: 267-270 - [c72]Gabriele Amorosino
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
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. MICCAI (7) 2020: 291-301 - [c70]Emanuele Olivetti
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
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
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
Supervised Estimation of Granger-Based Causality between Time Series. Frontiers Neuroinformatics 11: 68 (2017) - [c68]Emanuele Olivetti
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
Statistical independence for the evaluation of classifier-based diagnosis. Brain Informatics 2(1): 13-19 (2015) - [j10]Diana Porro-Muñoz, Emanuele Olivetti
Tractome: a visual data mining tool for brain connectivity analysis. Data Min. Knowl. Discov. 29(5): 1258-1279 (2015) - [j9]Sandro Vega-Pons
On pruning the search space for clustering ensemble problems. Neurocomputing 150: 481-489 (2015) - [j8]Paolo Avesani
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
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
Movie Genre Classification by Exploiting MEG Brain Signals. ICIAP (1) 2015: 683-693 - [c66]Paolo Avesani
Tractography Mapping for Dissimilarity Space across Subjects. PRNI 2015: 13-16 - [c65]Paolo Avesani
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
Multi-Task Learning for Interpretation of Brain Decoding Models. MLINI@NIPS 2014: 3-11 - [c63]Thien Bao Nguyen
Mapping Tractography Across Subjects. MLINI@NIPS 2014: 21-28 - [c62]Danilo Benozzo, Emanuele Olivetti
Classification-Based Causality Detection in Time Series. MLINI@NIPS 2014: 85-93 - [c61]Vittorio Iacovella
Functional hyperalignment of resting state FMRI sessions driven by autonomic activity. PRNI 2014: 1-4 - [c60]Emanuele Olivetti
Sensor-level maps with the kernel two-sample test. PRNI 2014: 1-4 - [c59]Emanuele Olivetti
MEG decoding across subjects. PRNI 2014: 1-4 - [c58]Sandro Vega-Pons, Paolo Avesani
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
User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses. ACII 2013: 582-587 - [c56]Mojtaba Khomami Abadi, Seyed Mostafa Kia, Subramanian Ramanathan
Decoding affect in videos employing the MEG brain signal. FG 2013: 1-6 - [c55]Vittorio Iacovella
Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies. MLMI 2013: 155-162 - [c54]Emanuele Olivetti
Fast Clustering for Interactive Tractography Segmentation. PRNI 2013: 42-45 - [c53]Seyed Mostafa Kia
Discrete Cosine Transform for MEG Signal Decoding. PRNI 2013: 132-135 - [c52]Sandro Vega-Pons
Brain Decoding via Graph Kernels. PRNI 2013: 136-139 - 2012
- [c51]Emanuele Olivetti
Testing Multiclass Pattern Discrimination. PRNI 2012: 57-60 - 2011
- [c50]Emanuele Olivetti
Induction in Neuroscience with Classification: Issues and Solutions. MLINI 2011: 42-50 - [c49]Diego Sona
Pairwise Analysis for Longitudinal fMRI Studies. MLINI 2011: 132-139 - [c48]Emanuele Olivetti
Testing for Information with Brain Decoding. PRNI 2011: 33-36 - [c47]Paolo Avesani
Learning BOLD Response in fMRI by Reservoir Computing. PRNI 2011: 57-60 - [c46]Emanuele Olivetti
Supervised Segmentation of Fiber Tracts. SIMBAD 2011: 261-274 - 2010
- [c45]Diego Sona
Feature Rating by Random Subspaces for Functional Brain Mapping. Brain Informatics 2010: 112-123 - [c44]Emanuele Olivetti
Brain connectivity analysis by reduction to pair classification. CIP 2010: 275-280 - [c43]Diego Sona
Multivariate Brain Mapping by Random Subspaces. ICPR 2010: 2576-2579
2000 – 2009
- 2009
- [j5]Fausto Giunchiglia, Mikalai Yatskevich, Paolo Avesani
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
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
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
Building Quality-Based Views of the Web. AI*IA 2007: 519-530 - [c39]Diego Sona
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
Active sampling for detecting irrelevant features. ICML 2006: 961-968 - [c34]Paolo Tonella
Using the Case-Based Ranking Methodology for Test Case Prioritization. ICSM 2006: 123-133 - [c33]Diego Sona
Regularization for Unsupervised Classification on Taxonomies. ISMIS 2006: 691-696 - [c32]Conor Hayes, Paolo Avesani
An Analysis of Bloggers, Topics and Tags for a Blog Recommender System. WebMine 2006: 1-20 - 2005
- [j3]Giordano Adami, Paolo Avesani
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
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. AIME 2005: 141-145 - [c29]Paolo Avesani
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
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
Collaborative Case-Based Preference Elicitation. IEA/AIE 2005: 752-761 - [c24]Dina Goren-Bar, Israela Levi, Conor Hayes
Tagsocratic: Learning Shared Concepts on the Blogosphere. INTETAIN 2005: 324-327 - [c23]Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti
Active Sampling for Knowledge Discovery from Biomedical Data. PKDD 2005: 343-354 - [c22]Paolo Avesani
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
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
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
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
A Logical Framwork for Fuzzy Collaborative Filtering. FUZZ-IEEE 2001: 1043-1046 - 2000
- [j2]Paolo Avesani
Interactive Case-Based Planning for Forest Fire Management. Appl. Intell. 13(1): 41-57 (2000)
1990 – 1999
- 1999
- [j1]Francesco Ricci
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
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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