Ettore Ritacco
Ettore Ritacco
ICAR CNR
Verified email at icar.cnr.it
Title
Cited by
Cited by
Year
Probabilistic topic models for sequence data
N Barbieri, G Manco, E Ritacco, M Carnuccio, A Bevacqua
Machine learning 93 (1), 5-29, 2013
372013
Hierarchical clustering of XML documents focused on structural components
G Costa, G Manco, R Ortale, E Ritacco
Data & Knowledge Engineering 84, 26-46, 2013
322013
Fault detection and explanation through big data analysis on sensor streams
G Manco, E Ritacco, P Rullo, L Gallucci, W Astill, D Kimber, M Antonelli
Expert Systems with Applications 87, 141-156, 2017
312017
X-class: Associative classification of xml documents by structure
G Costa, R Ortale, E Ritacco
ACM Transactions on Information Systems (TOIS) 31 (1), 1-40, 2013
282013
The DAEDALUS framework: progressive querying and mining of movement data
R Ortale, E Ritacco, N Pelekis, R Trasarti, G Costa, F Giannotti, G Manco, ...
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances …, 2008
262008
Probabilistic approaches to recommendations
N Barbieri, G Manco, E Ritacco
Synthesis Lectures on Data Mining and Knowledge Discovery 5 (2), 1-197, 2014
252014
Sequential variational autoencoders for collaborative filtering
N Sachdeva, G Manco, E Ritacco, V Pudi
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
152019
Effective xml classification using content and structural information via rule learning
G Costa, R Ortale, E Ritacco
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
142011
Balancing prediction and recommendation accuracy: Hierarchical latent factors for preference data
N Barbieri, G Manco, R Ortale, E Ritacco
Proceedings of the 2012 SIAM International Conference on Data Mining, 1035-1046, 2012
122012
Rule learning with probabilistic smoothing
G Costa, M Guarascio, G Manco, R Ortale, E Ritacco
International Conference on Data Warehousing and Knowledge Discovery, 428-440, 2009
122009
A probabilistic hierarchical approach for pattern discovery in collaborative filtering data
N Barbieri, G Manco, E Ritacco
Proceedings of the 2011 SIAM International Conference on Data Mining, 630-641, 2011
72011
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments
G Costa, G Manco, R Ortale, E Ritacco
Knowledge and information systems 33 (1), 137-169, 2012
62012
Survival factorization on diffusion networks
N Barbieri, G Manco, E Ritacco
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
42017
A Transactional Approach to Associative XML Classification by Content and Structure.
G Costa, R Ortale, E Ritacco
KDIR, 104-113, 2011
32011
A new architectural paradigm for content-based web applications: Borč
A Bevacqua, M Carnuccio, R Ortale, E Ritacco
Proceedings of the 15th Symposium on International Database Engineering …, 2011
32011
Deep Learning
M Guarascio, G Manco, E Ritacco
Academic Press, 2019
22019
Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content
G Costa, R Ortale, E Ritacco
International Joint Conference on Knowledge Discovery, Knowledge Engineering …, 2011
22011
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data.
N Barbieri, M Guarascio, E Ritacco
IIR, 23-27, 2010
22010
Towards Progressively Querying and Mining Movement Data
R Ortale, E Ritacco, N Pelekis, R Trasarti, G Costa, F Giannotti, G Manco, ...
ICAR-CNR technical Report CS-ICAR-02-2008. Available at http://150.145 63, 0
2
Network Topology
G Manco, E Ritacco, M Guarascio
Academic Press, 2019
12019
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Articles 1–20