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Mostrati risultati da 1 a 50 di 53
Titolo Data di pubblicazione Autore(i) File
The DAEDALUS framework: Progressive querying and mining of movement data 1-gen-2008 Ortale, R.; Ritacco, E.; Pelekis, N.; Trasarti, R.; Costa, G.; Giannotti, F.; Manco, G.; Renso, C.; Theodoridis, Y.
DAEDALUS: A knowledge discovery analysis framework for movement data 1-gen-2008 Ortale, R.; Ritacco, E.; Pelekis, N.; Trasarti, R.; Costa, G.; Giannotti, F.; Manco, G.; Renso, C.; Theodoridis, Y.
A hierarchical rule-based framework for accurate classification in imprecise domains 1-gen-2009 Costa, G.; Guarascio, M.; Manco, G.; Ortale, R.; Ritacco, E.
Rule learning with probabilistic smoothing 1-gen-2009 Costa, G.; Guarascio, M.; Manco, G.; Ortale, R.; Ritacco, E.
An empirical comparison of collaborative filtering approaches on netflix data 1-gen-2010 Barbieri, N.; Guarascio, M.; Ritacco, E.
Fast and effective hierarchical clustering of XML documents by structure 1-gen-2010 Costa, G.; Manco, G.; Ortale, R.; Ritacco, E.
A probabilistic hierarchical approach for pattern discovery in collaborative filtering data (Extended Abstract) 1-gen-2011 Barbieri, N.; Manco, G.; Ritacco, E.
A probabilistic hierarchical approach for pattern discovery in collaborative filtering data 1-gen-2011 Barbieri, N.; Manco, G.; Ritacco, E.
A new architectural paradigm for content-based web applications: Borè 1-gen-2011 Bevacqua, A.; Carnuccio, M.; Ortale, R.; Ritacco, E.
Characterizing relationships through co-clustering: A probabilistic approach 1-gen-2011 Barbieri, N.; Costa, G.; Manco, G.; Ritacco, E.
A transactional approach to associative XML Classification by Content and Structure 1-gen-2011 Costa, G.; Ortale, R.; Ritacco, E.
Effective XML classification using content and structural information via rule learning 1-gen-2011 Costa, G.; Ortale, R.; Ritacco, E.
Hierarchical latent factors for preference data 1-gen-2012 Barbieri, N.; Manco, G.; Ritacco, E.
Probabilistic sequence modeling for recommender systems 1-gen-2012 Barbieri, N.; Bevacqua, A.; Carnuccio, M.; Manco, G.; Ritacco, E.
Enforcing interaction and cooperation in content-based web3.0 applications 1-gen-2012 Bevacqua, A.; Carnuccio, M.; Cuzzocrea, A.; Ortale, R.; Ritacco, E.
Balancing prediction and recommendation accuracy: Hierarchical latent factors for preference data 1-gen-2012 Barbieri, N.; Manco, G.; Ortale, R.; Ritacco, E.
From global to local and viceversa: Uses of associative rule learning for classification in imprecise environments 1-gen-2012 Costa, G.; Manco, G.; Ortale, R.; Ritacco, E.
A Block Coclustering Model for Pattern Discovering in Users' Preference Data 1-gen-2013 Barbieri, N.; Costa, G.; Manco, G.; Ritacco, E.
A semantic-based framework for supporting interaction and cooperation in content-based web3.0 applications 1-gen-2013 Bevacqua, A.; Carnuccio, M.; Cuzzocrea, A.; Ortale, R.; Ritacco, E.
Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content 1-gen-2013 Costa, G.; Ortale, R.; Ritacco, E.
X-Class: Associative classification of XML documents by structure 1-gen-2013 Costa, G.; Ortale, R.; Ritacco, E.
Probabilistic topic models for sequence data 1-gen-2013 Barbieri, N.; Manco, G.; Ritacco, E.; Carnuccio, M.; Bevacqua, A.
Hierarchical clustering of XML documents focused on structural components 1-gen-2013 Costa, G.; Manco, G.; Ortale, R.; Ritacco, E.
Probabilistic Approaches to Recommendations 1-gen-2014 Barbieri, Nicola; Manco, Giuseppe; Ritacco, Ettore
Survival Factorization on Diffusion Networks 1-gen-2017 Barbieri, N.; Manco, G.; Ritacco, E.
Fault detection and explanation through big data analysis on sensor streams 1-gen-2017 Manco, G.; Ritacco, E.; Rullo, P.; Gallucci, L.; Astill, W.; Kimber, D.; Antonelli, M.
Profiling human behavior through multidimensional latent factor modeling 1-gen-2017 Guarascio, M.; Pisani, F. S.; Ritacco, E.; Sabatino, P.
Temporal Recurrent Activation Networks 1-gen-2018 Manco, G.; Pirro, G.; Ritacco, E.
Deep learning 1-gen-2018 Guarascio, M.; Manco, G.; Ritacco, E.
Knowledge discovery in databases 1-gen-2018 Guarascio, M.; Manco, G.; Ritacco, E.
Network topology 1-gen-2018 Manco, G.; Ritacco, E.; Guarascio, M.
Network models 1-gen-2018 Guarascio, M.; Manco, G.; Ritacco, E.
Predicting temporal activation patterns via recurrent neural networks 1-gen-2018 Manco, G.; Pirro, G.; Ritacco, E.
Integrating a framework for discovering alternative app stores in a mobile app monitoring platform 1-gen-2018 Guarascio, M.; Ritacco, E.; Biondo, D.; Mammoliti, R.; Toma, A.
Deep sequential modeling for recommendation 1-gen-2019 Manco, G.; Ritacco, E.; Sachdeva, N.; Guarascio, M.
Sequential variational autoencoders for collaborative filtering 1-gen-2019 Sachdeva, N.; Ritacco, E.; Manco, G.; Pudi, V.
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 1-gen-2020 Folino, F.; Guarascio, M.; Liguori, A.; Manco, G.; Pontieri, L.; Ritacco, E.
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain 1-gen-2020 Scicchitano, F.; Liguori, A.; Guarascio, M.; Ritacco, E.; Manco, G.
Using an autoencoder in the design of an anomaly detector for smart manufacturing 1-gen-2020 Alfeo, A. L.; Cimino, M. G. C. A.; Manco, G.; Ritacco, E.; Vaglini, G.
A deep learning approach for detecting security attacks on blockchain 1-gen-2020 Scicchitano, F.; Liguori, A.; Guarascio, M.; Ritacco, E.; Manco, G.
A factorization approach for survival analysis on diffusion networks 1-gen-2021 Manco, G.; Ritacco, E.; Barbieri, N.
A deep learning approach for unsupervised failure detection in smart industry 1-gen-2021 Liguori, A.; Manco, G.; Ritacco, E.; Ruffolo, M.; Iiritano, S.
Unbiasing collaborative filtering for popularity-aware recommendation 1-gen-2021 Caroprese, L.; Manco, G.; Minici, M.; Pisani, F. S.; Ritacco, E.
Adversarial Regularized Reconstruction for Anomaly Detection and Generation 1-gen-2021 Liguori, A.; Manco, G.; Pisani, F. S.; Ritacco, E.
Generating Synthetic Discrete Datasets with Machine Learning 1-gen-2022 Manco, Giuseppe; Ritacco, Ettore; Rullo, Antonino; Saccà, Domenico; Serra, Edoardo
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels 1-gen-2022 Barbara, V.; Buelli, D.; Guarascio, M.; Ierace, S.; Iiritano, S.; Laboccetta, G.; Leone, N.; Manco, G.; Pesenti, V.; Quarta, A.; Ricca, F.; Ritacco, E.
Machine learning methods for generating high dimensional discrete datasets 1-gen-2022 Manco, G.; Ritacco, E.; Rullo, A.; Sacca, D.; Serra, E.
Deep Learning/PUF-based Item Identification for Supply Chain Management in a Distributed Ledger Framework 1-gen-2023 Felicetti, C.; Guzzo, A.; Manco, G.; Pasqua, F.; Ritacco, E.; Rullo, A.; Sacca, D.
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels 1-gen-2023 Barbara, V.; Leone, N.; Ricca, F.; Guarascio, M.; Manco, G.; Quarta, A.; Ritacco, E.
Neuro-Symbolic techniques for Predictive Maintenance 1-gen-2023 Liguori, A.; Mungari, S.; Ritacco, E.; Ricca, F.; Manco, G.; Iiritano, S.
Mostrati risultati da 1 a 50 di 53
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