Ettore Ritacco

According to our database1, Ettore Ritacco authored at least 40 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
A Factorization Approach for Survival Analysis on Diffusion Networks.
IEEE Trans. Knowl. Data Eng., 2021

2020
Using an autoencoder in the design of an anomaly detector for smart manufacturing.
Pattern Recognit. Lett., 2020

A Deep Learning Approach for Detecting Security Attacks on Blockchain.
Proceedings of the Fourth Italian Conference on Cyber Security, 2020

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

2019
Network Models.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Deep Learning.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Knowledge Discovery in Databases.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Network Topology.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Sequential Variational Autoencoders for Collaborative Filtering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Deep Sequential Modeling for Recommendation.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018
Temporal Recurrent Activation Networks.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Predicting Temporal Activation Patterns via Recurrent Neural Networks.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

2017
Fault detection and explanation through big data analysis on sensor streams.
Expert Syst. Appl., 2017

Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Survival Factorization on Diffusion Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
Profiling Human Behavior Through Multidimensional Latent Factor Modeling.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

2014
Probabilistic Approaches to Recommendations
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2014

2013
X-Class: Associative Classification of XML Documents by Structure.
ACM Trans. Inf. Syst., 2013

Probabilistic topic models for sequence data.
Mach. Learn., 2013

Hierarchical clustering of XML documents focused on structural components.
Data Knowl. Eng., 2013

A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

2012
Hierarchical Latent Factors for Preference Data.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Probabilistic Sequence Modeling for Recommender Systems.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments.
Knowl. Inf. Syst., 2011

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract).
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

A new architectural paradigm for content-based web applications: Borè.
Proceedings of the 15th International Database Engineering and Applications Symposium (IDEAS 2011), September 21, 2011

Effective XML Classification Using Content and Structural Information via Rule Learning.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

A Transactional Approach to Associative XML Classification by Content and Structure.
Proceedings of the KDIR 2011, 2011

Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

A Block Coclustering Model for Pattern Discovering in Users' Preference Data.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

Characterizing Relationships through Co-clustering - A Probabilistic Approach.
Proceedings of the KDIR 2011, 2011

2010
Fast and Effective Hierarchical Clustering of XML Documents by Structure.
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data.
Proceedings of the IIR 2010, 2010

2009
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Rule Learning with Probabilistic Smoothing.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008
DAEDALUS: A knowledge discovery analysis framework for movement data.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

The DAEDALUS framework: progressive querying and mining of movement data.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008


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