Giuseppe Manco

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 55

Top Venues

SEBD

CoRR

ITASEC

J. Intell. Inf. Syst.

Publications

Erica Coppolillo, Simone Mungari, Ettore Ritacco, Giuseppe Manco
GenRec: A Flexible Data Generator for Recommendations. CoRR (2024)
Erica Coppolillo, Francesco Calimeri, Giuseppe Manco, Simona Perri, Francesco Ricca
LLASP: Fine-tuning Large Language Models for Answer Set Programming. CoRR (2024)
Erica Coppolillo, Giuseppe Manco, Aristides Gionis
Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations. KDD (2024)
Lluís Garcia Pueyo, Symeon Papadopoulos, Prathyusha Senthil Kumar, Aristides Gionis, Panayiotis Tsaparas, Vasilis Verroios, Giuseppe Manco, Anton Andryeyev, Stefano Cresci, Timos Sellis, Anthony McCosker
Integrity 2024: Integrity in Social Networks and Media. WSDM (2024)
Marco Minici, Federico Cinus, Francesco Bonchi, Giuseppe Manco
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. CoRR (2024)
Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo
Siamese Networks for Unsupervised Failure Detection in Smart Industry. ISMIS (2024)
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. Theory Pract. Log. Program. 23 (4) (2023)
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR (2023)
Carmela Comito, Francesco Sergio Pisani, Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Giuseppe Manco
Towards Self-Supervised Cross-Domain Fake News Detection. ITASEC (2023)
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)
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) (2023)
Erica Coppolillo, Daniela Gallo, Angelica Liguori, Simone Mungari, Ettore Ritacco, Giuseppe Manco
Siamese Network for Fake Item Detection. SEBD (2023)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Zuppelli
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores. Soc. Netw. Anal. Min. 13 (1) (2023)
Lluís Garcia Pueyo, Panayiotis Tsaparas, Prathyusha Senthil Kumar, Timos Sellis, Paolo Papotti, Sibel Adali, Giuseppe Manco, Tudor Trufinescu, Gireeja Ranade, James Verbus, Mehmet N. Tek, Anthony McCosker
Integrity 2023: Integrity in Social Networks and Media. WSDM (2023)
Angelica Liguori, Simone Mungari, Marco Zuppelli, Carmela Comito, Enrico Cambiaso, Matteo Repetto, Massimo Guarascio, Luca Caviglione, Giuseppe Manco
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. Ital-IA (2023)
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)
Angelica Liguori, Simone Mungari, Ettore Ritacco, Francesco Ricca, Giuseppe Manco, Salvatore Iiritano
Neuro-Symbolic techniques for Predictive Maintenance. SEBD (2023)
Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). SEBD (2023)
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 (2023)
Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Luca Caviglione, Giuseppe Manco
Revealing MageCart-like Threats in Favicons via Artificial Intelligence. ARES (2022)
Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco
Cascade-based Echo Chamber Detection. CoRR (2022)
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)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13 (3) (2022)
Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Francesco Sergio Pisani, Giuseppe Manco
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. CyberSec4Europe (2022)
Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining Knowl. Discov. 12 (2) (2022)
Massimo Guarascio, Nunziato Cassavia, Francesco Sergio Pisani, Giuseppe Manco
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection. Future Gener. Comput. Syst. 135 (2022)
Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco
Towards Extreme Multi-Label Classification of Multimedia Content. SEBD (2022)
Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Giuseppe Manco, Luca Caviglione
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning. ITASEC (2022)
Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
Generating Synthetic Discrete Datasets with Machine Learning. SEBD (2022)
Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco
Cascade-based Echo Chamber Detection. CIKM (2022)
Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi
Learning Ideological Embeddings from Information Cascades. CIKM (2021)
Marco Zuppelli, Giuseppe Manco, Luca Caviglione, Massimo Guarascio
Sanitization of Images Containing Stegomalware via Machine Learning Approaches. ITASEC (2021)
Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi
Learning Ideological Embeddings from Information Cascades. CoRR (2021)
Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). SEBD (2021)
Giuseppe Manco, Ettore Ritacco, Nicola Barbieri
A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
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)
Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) (2021)
Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. ICDM (2021)
Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops (2020)
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. ISMIS (2020)
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
A Deep Learning Approach for Detecting Security Attacks on Blockchain. ITASEC (2020)
Antonio L. Alfeo, Mario G. C. A. Cimino, Giuseppe Manco, Ettore Ritacco, Gigliola Vaglini
Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognit. Lett. 136 (2020)
Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio
Deep Sequential Modeling for Recommendation. SEBD (2019)
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
Sequential Variational Autoencoders for Collaborative Filtering. WSDM (2019)
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
Sequential Variational Autoencoders for Collaborative Filtering. CoRR (2018)
Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco
Predicting Temporal Activation Patterns via Recurrent Neural Networks. ISMIS (2018)
Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco
Temporal Recurrent Activation Networks. SEBD (2018)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Efficient Methods for Influence-Based Network-Oblivious Community Detection. ACM Trans. Intell. Syst. Technol. 8 (2) (2017)
Fabrizio Angiulli, Fabio Fassetti, Giuseppe Manco, Luigi Palopoli
Outlying property detection with numerical attributes. Data Min. Knowl. Discov. 31 (1) (2017)
Giuseppe Manco, Giuseppe Pirrò
Differential Privacy and Neural Networks: A Preliminary Analysis. PAP@PKDD/ECML (2017)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
Survival Factorization on Diffusion Networks. ECML/PKDD (1) (2017)
Giuseppe Manco, Ettore Ritacco, Pasquale Rullo, Lorenzo Gallucci, Will Astill, Dianne Kimber, Marco Antonelli
Fault detection and explanation through big data analysis on sensor streams. Expert Syst. Appl. 87 (2017)
Giuseppe Manco, Pasquale Rullo, Lorenzo Gallucci, Mirko Paturzo
Rialto: A Knowledge Discovery suite for data analysis. Expert Syst. Appl. 59 (2016)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari
Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. 47 (1) (2016)
Shirley Coleman, Rainer Göb, Giuseppe Manco, Antonio Pievatolo, Xavier Tort-Martorell, Marco Seabra dos Reis
How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Qual. Reliab. Eng. Int. 32 (6) (2016)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco
Mining complex patterns. J. Intell. Inf. Syst. 42 (2) (2014)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Who to follow and why: link prediction with explanations. KDD (2014)
Gianni Costa, Giuseppe Manco, Elio Masciari
Dealing with trajectory streams by clustering and mathematical transforms. J. Intell. Inf. Syst. 42 (1) (2014)
Gianni Costa, Giuseppe Manco, Riccardo Ortale
A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. ECML/PKDD (1) (2014)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Topic-aware social influence propagation models. Knowl. Inf. Syst. 37 (3) (2013)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Cascade-based community detection. WSDM (2013)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco, Marco Carnuccio, Antonio Bevacqua
Probabilistic topic models for sequence data. Mach. Learn. 93 (1) (2013)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Towards Topic-aware Social Influence Propagation Models. SEBD (2013)
Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Giuseppe Manco
Outlying Property Detection with Numerical Attributes. CoRR (2013)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Influence-Based Network-Oblivious Community Detection. ICDM (2013)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Hierarchical clustering of XML documents focused on structural components. Data Knowl. Eng. 84 (2013)
Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. SDM (2012)
Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco
Probabilistic Sequence Modeling for Recommender Systems. KDIR (2012)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
Hierarchical Latent Factors for Preference Data. SEBD (2012)
Giuseppe Manco, Elio Masciari
XML class outlier detection. IDEAS (2012)
Gianni Costa, Giuseppe Manco, Elio Masciari
Effectively Grouping Trajectory Streams. NFMCP (2012)
Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
Topic-Aware Social Influence Propagation Models. ICDM (2012)
Alfredo Cuzzocrea, Giuseppe Manco, Elio Masciari
Effective Detection of XML Outliers. KES (2012)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). SEBD (2011)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowl. Inf. Syst. 33 (1) (2011)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. SDM (2011)
Nicola Barbieri, Giuseppe Manco
An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering. ECML/PKDD (1) (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
A Block Coclustering Model for Pattern Discovering in Users' Preference Data. IC3K (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale
Modeling item selection and relevance for accurate recommendations: a bayesian approach. RecSys (2011)
Nicola Barbieri, Massimo Guarascio, Giuseppe Manco
A Block Mixture Model for Pattern Discovery in Preference Data. ICDM Workshops (2010)
Gianni Costa, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale
Mining models of exceptional objects through rule learning. SAC (2010)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Fast and Effective Hierarchical Clustering of XML Documents by Structure. SEBD (2010)
Gianni Costa, Giuseppe Manco, Riccardo Ortale
An incremental clustering scheme for data de-duplication. Data Min. Knowl. Discov. 20 (1) (2010)
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Rule Learning with Probabilistic Smoothing. DaWaK (2009)
Stefano Basta, Fosca Giannotti, Giuseppe Manco, Dino Pedreschi, Laura Spinsanti
SNIPER: A Data Mining Methodology for Fiscal Fraud Detection. ERCIM News 2009 (78) (2009)
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. SEBD (2009)
Stefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani
High Quality True-Positive Prediction for Fiscal Fraud Detection. ICDM Workshops (2009)
Gianni Costa, Alfredo Cuzzocrea, Giuseppe Manco, Riccardo Ortale
Clustering Relational Data: A Transactional Approach. ICTAI (2009)
Gianni Costa, Giuseppe Manco, Riccardo Ortale
A hierarchical model-based approach to co-clustering high-dimensional data. SAC (2008)
Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
The DAEDALUS framework: progressive querying and mining of movement data. GIS (2008)
Giuseppe Manco, Elio Masciari, Andrea Tagarelli
Mining categories for emails via clustering and pattern discovery. J. Intell. Inf. Syst. 30 (2) (2008)
Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
Boosting text segmentation via progressive classification. Knowl. Inf. Syst. 15 (3) (2008)
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)
Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese
Exploiting structural similarity for effective Web information extraction. Data Knowl. Eng. 60 (1) (2007)
Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. IEEE Trans. Knowl. Data Eng. 19 (12) (2007)
Gianni Costa, Francesco Folino, Giuseppe Manco, Riccardo Ortale
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. SEBD (2007)
Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà
Mining unconnected patterns in workflows. Inf. Syst. 32 (5) (2007)
Gianni Costa, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. ICDE Workshops (2007)
Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. SEBD (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Giuseppe Manco