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Ettore Ritacco
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2020 – today
- 2024
- [j12]Angelica Liguori, Ettore Ritacco, Francesco Sergio Pisani, Giuseppe Manco:
Robust anomaly detection via adversarial counterfactual generation. Knowl. Inf. Syst. 66(12): 7437-7468 (2024) - [j11]Erica Coppolillo
, Marco Minici
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 74:1-74:27 (2024) - [c41]Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo:
Siamese Networks for Unsupervised Failure Detection in Smart Industry. ISMIS 2024: 191-200 - [c40]Katherine Rossella Foglia
HalpernSGD: A Halpern-Inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint. ISMIS 2024: 296-305 - [c39]Luca Caviglione, Carmela Comito, Erica Coppolillo, Daniela Gallo, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Minici, Simone Mungari, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo, Paolo Zicari, Marco Zuppelli:
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. Ital-IA 2024: 170-175 - [i5]Erica Coppolillo
GenRec: A Flexible Data Generator for Recommendations. CoRR abs/2407.16594 (2024) - [i4]Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco:
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences. CoRR abs/2409.16478 (2024) - [i3]Daniela Gallo, Angelica Liguori, Ettore Ritacco, Luca Caviglione, Fabrizio Durante, Giuseppe Manco:
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation. CoRR abs/2410.05819 (2024) - 2023
- [j10]Fabrizio Lo Scudo, Ettore Ritacco, Luciano Caroprese, Giuseppe Manco
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis. J. Intell. Inf. Syst. 61(3): 765-793 (2023) - [j9]Vito Barbara, Massimo Guarascio
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. Theory Pract. Log. Program. 23(4): 748-764 (2023) - [c38]Carmelo Felicetti, Antonella Guzzo, Giuseppe Manco, Francesco Pasqua, Ettore Ritacco, Antonino Rullo, Domenico Saccà:
Deep Learning/PUF-based Item Identification for Supply Chain Management in a Distributed Ledger Framework. BCCA 2023: 28-35 - [c37]Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Fighting Misinformation, Radicalization and Bias in Social Media. Ital-IA 2023: 443-448 - [c36]Erica Coppolillo, Daniela Gallo, Angelica Liguori, Simone Mungari, Ettore Ritacco, Giuseppe Manco:
Siamese Network for Fake Item Detection. SEBD 2023: 430-438 - [c35]Angelica Liguori, Simone Mungari, Ettore Ritacco, Francesco Ricca, Giuseppe Manco, Salvatore Iiritano:
Neuro-Symbolic techniques for Predictive Maintenance. SEBD 2023: 459-468 - [e2]Irena Koprinska
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e1]Irena Koprinska
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - [i2]Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco:
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. CoRR abs/2305.10113 (2023) - 2022
- [j8]Giuseppe Manco
Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining Knowl. Discov. 12(2) (2022) - [c34]Vito Barbara, Dimitri Buelli, Massimo Guarascio, Stefano Ierace, Salvatore Iiritano, Giovanni Laboccetta, Nicola Leone, Giuseppe Manco, Valerio Pesenti, Alessandro Quarta, Francesco Ricca, Ettore Ritacco:
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels. CILC 2022: 247-253 - [c33]Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra:
Generating Synthetic Discrete Datasets with Machine Learning. SEBD 2022: 341-350 - 2021
- [j7]Giuseppe Manco
A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33(1): 1-13 (2021) - [c32]Angelica Liguori
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. ICDM 2021: 1204-1209 - [c31]Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco:
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). SEBD 2021: 450-457 - [c30]Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Massimilano Ruffolo, Salvatore Iiritano:
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper). SEBD 2021: 474-481 - 2020
- [j6]Antonio L. Alfeo
Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognit. Lett. 136: 272-278 (2020) - [c29]Francesco Scicchitano, Angelica Liguori
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. ISMIS 2020: 448-456 - [c28]Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco:
A Deep Learning Approach for Detecting Security Attacks on Blockchain. ITASEC 2020: 212-222 - [c27]Francesco Folino, Massimo Guarascio
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops 2020: 263-275
2010 – 2019
- 2019
- [c26]Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio:
Deep Sequential Modeling for Recommendation. SEBD 2019 - [c25]Noveen Sachdeva, Giuseppe Manco
Sequential Variational Autoencoders for Collaborative Filtering. WSDM 2019: 600-608 - [r4]Massimo Guarascio
Knowledge Discovery in Databases. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 336-341 - [r3]Massimo Guarascio
Deep Learning. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 634-647 - [r2]Giuseppe Manco
Network Topology. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 958-967 - [r1]Massimo Guarascio
Network Models. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 968-977 - 2018
- [c24]Giuseppe Manco
Predicting Temporal Activation Patterns via Recurrent Neural Networks. ISMIS 2018: 347-356 - [c23]Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco:
Temporal Recurrent Activation Networks. SEBD 2018 - [i1]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. CoRR abs/1811.09975 (2018) - 2017
- [j5]Giuseppe Manco
Fault detection and explanation through big data analysis on sensor streams. Expert Syst. Appl. 87: 141-156 (2017) - [c22]Massimo Guarascio
Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform. NFMCP@PKDD/ECML 2017: 107-121 - [c21]Nicola Barbieri, Giuseppe Manco
Survival Factorization on Diffusion Networks. ECML/PKDD (1) 2017: 684-700 - 2016
- [c20]Massimo Guarascio
Profiling Human Behavior Through Multidimensional Latent Factor Modeling. NFMCP@PKDD/ECML 2016: 148-162 - 2014
- [b1]Nicola Barbieri, Giuseppe Manco
Probabilistic Approaches to Recommendations. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00778-1 - 2013
- [j4]Gianni Costa
Hierarchical clustering of XML documents focused on structural components. Data Knowl. Eng. 84: 26-46 (2013) - [j3]Nicola Barbieri, Giuseppe Manco
Probabilistic topic models for sequence data. Mach. Learn. 93(1): 5-29 (2013) - [j2]Gianni Costa
X-Class: Associative Classification of XML Documents by Structure. ACM Trans. Inf. Syst. 31(1): 3:1-3:40 (2013) - [c19]Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco:
A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications. SEBD 2013: 131-138 - 2012
- [c18]Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea
Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications. APWeb 2012: 472-483 - [c17]Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco:
Probabilistic Sequence Modeling for Recommender Systems. KDIR 2012: 75-84 - [c16]Nicola Barbieri, Giuseppe Manco
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. SDM 2012: 1035-1046 - [c15]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
Hierarchical Latent Factors for Preference Data. SEBD 2012: 251-256 - 2011
- [j1]Gianni Costa
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowl. Inf. Syst. 33(1): 137-169 (2011) - [c14]Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco:
Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR 2011: 64-73 - [c13]Nicola Barbieri, Gianni Costa
A Block Coclustering Model for Pattern Discovering in Users' Preference Data. IC3K 2011: 94-108 - [c12]Gianni Costa, Riccardo Ortale, Ettore Ritacco:
A Transactional Approach to Associative XML Classification by Content and Structure. KDIR 2011: 104-113 - [c11]Gianni Costa
Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content. IC3K 2011: 156-171 - [c10]Gianni Costa
Effective XML Classification Using Content and Structural Information via Rule Learning. ICTAI 2011: 102-109 - [c9]Antonio Bevacqua, Marco Carnuccio, Riccardo Ortale
A new architectural paradigm for content-based web applications: Borè. IDEAS 2011: 192-196 - [c8]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. SDM 2011: 630-641 - [c7]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). SEBD 2011: 239-246 - 2010
- [c6]Nicola Barbieri, Massimo Guarascio, Ettore Ritacco:
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data. IIR 2010: 23-27 - [c5]Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
Fast and Effective Hierarchical Clustering of XML Documents by Structure. SEBD 2010: 358-369
2000 – 2009
- 2009
- [c4]Gianni Costa
Rule Learning with Probabilistic Smoothing. DaWaK 2009: 428-440 - [c3]Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. SEBD 2009: 261-272 - 2008
- [c2]Riccardo Ortale
The DAEDALUS framework: progressive querying and mining of movement data. GIS 2008: 52 - [c1]Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis:
DAEDALUS: A knowledge discovery analysis framework for movement data. SEBD 2008: 191-198
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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