Publications

(2026). ARES: Anomaly Recognition Model For Edge Streams. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026.

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(2025). Unmasking Conversational Bias in AI Multiagent Systems. CoRR.

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(2025). On the Feasibility of Android Stegomalware: A Detection Study. Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), Bologna, Italy, February 03-08, 2025.

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(2025). Modelling Concept Drift in Dynamic Data Streams for Recommender Systems. Trans. Recomm. Syst..

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(2025). Modeling events and interactions through temporal processes: A survey. Neurocomputing.

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(2025). Large language models in the software supply chain: challenges and opportunities. Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, organized by CINI (Ital-IA 2025), Trieste, Italy, June 23-24, 2025.

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(2025). Flexible Generation of Preference Data for Recommendation Analysis. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025.

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(2025). Engagement-Driven Content Generation with Large Language Models. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025.

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(2025). Disrupting Networks: Amplifying Social Dissensus via Opinion Perturbation and Large Language Models. CoRR.

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(2025). Discovering Domain-Agnostic Fake News Detectors Through Deep Self-Supervised Learning. IEEE Access.

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(2025). Days of Future Past: Towards Robust Detection of Malware Variants via LLM-Based Embedding Generation. IEEE International Conference on Data Mining, ICDM 2025 - Workshops, Washington, DC, USA, November 12-15, 2025.

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(2025). Breaking domain barriers: mixture of experts for cross-domain fake news detection. Mach. Learn..

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(2025). Auditing LLM Editorial Bias in News Media Exposure. CoRR.

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(2025). ARES: Anomaly Recognition Model For Edge Streams. CoRR.

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(2025). Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences. Inf. Process. Manag..

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(2024). Special issue on intelligent systems. J. Intell. Inf. Syst..

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(2024). Siamese Networks for Unsupervised Failure Detection in Smart Industry. Foundations of Intelligent Systems - 27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024, Proceedings.

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(2024). Robust anomaly detection via adversarial counterfactual generation. Knowl. Inf. Syst..

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(2024). Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations. CoRR.

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(2024). Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024.

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(2024). LLASP: Fine-tuning Large Language Models for Answer Set Programming. CoRR.

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(2024). LLASP: Fine-tuning Large Language Models for Answer Set Programming. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024, Hanoi, Vietnam. November 2-8, 2024.

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(2024). Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024.

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(2024). Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. CoRR.

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(2024). Integrity 2024: Integrity in Social Networks and Media. Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024.

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(2024). GenRec: A Flexible Data Generator for Recommendations. CoRR.

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(2024). Engagement-Driven Content Generation with Large Language Models. CoRR.

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(2024). Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. Proceedings of the Ital-IA Intelligenza Artificiale - Thematic Workshops co-located with the 4th CINI National Lab AIIS Conference on Artificial Intelligence (Ital-IA 2024), Naples, Italy, May 29-30, 2024.

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(2024). CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation. CoRR.

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(2024). Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection. Discovery Science - 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part II.

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(2024). Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. ACM Trans. Intell. Syst. Technol..

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(2024). Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences. CoRR.

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(2024). A Methodological Approach to Securing Cyber-Physical Systems for Critical Infrastructures. Future Internet.

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(2023). Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023.

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(2023). Towards Self-Supervised Cross-Domain Fake News Detection. Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), Bari, Italy, May 2-5, 2023.

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(2023). Siamese Network for Fake Item Detection. Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023.

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(2023). ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023.

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(2023). Neuro-Symbolic techniques for Predictive Maintenance. Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023.

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(2023). Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. Theory Pract. Log. Program..

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(2023). Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. CoRR.

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(2023). Modeling Events and Interactions through Temporal Processes - A Survey. CoRR.

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(2023). Integrity 2023: Integrity in Social Networks and Media. Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

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(2023). Fighting Misinformation, Radicalization and Bias in Social Media. Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023.

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(2023). Deep Learning/PUF-based Item Identification for Supply Chain Management in a Distributed Ledger Framework. Fifth International Conference on Blockchain Computing and Applications, BCCA 2023, Kuwait, Kuwait, October 24-26, 2023.

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(2023). Audio-based anomaly detection on edge devices via self-supervision and spectral analysis. J. Intell. Inf. Syst..

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(2023). A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores. Soc. Netw. Anal. Min..

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(2022). Towards Extreme Multi-Label Classification of Multimedia Content. Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19-22, 2022.

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(2022). Revealing MageCart-like Threats in Favicons via Artificial Intelligence. ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23 - 26, 2022.

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(2022). Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining Knowl. Discov..

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(2022). Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. Digital Sovereignty in Cyber Security: New Challenges in Future Vision - First International Workshop, CyberSec4Europe 2022, Venice, Italy, April 17-21, 2022, Revised Selected Papers.

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(2022). Generating Synthetic Discrete Datasets with Machine Learning. Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19-22, 2022.

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(2022). Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

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(2022). Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning. Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), Rome, Italy, June 20-23, 2022.

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(2022). Cascade-based Echo Chamber Detection. Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022.

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(2022). Cascade-based Echo Chamber Detection. CoRR.

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(2022). Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection. Future Gener. Comput. Syst..

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(2022). A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels. Proceedings of the 37th Italian Conference on Computational Logic, Bologna, Italy, June 29 - July 1, 2022.

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(2021). Hyper-Parameter Optimization for Latent Spaces in Dynamic Recommender Systems. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021.

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(2021). Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). Proceedings of the 29th Italian Symposium on Advanced Database Systems, SEBD 2021, Pizzo Calabro (VV), Italy, September 5-9, 2021.

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(2021). Sanitization of Images Containing Stegomalware via Machine Learning Approaches. Proceedings of the Italian Conference on Cybersecurity, ITASEC 2021, All Digital Event, April 7-9, 2021.

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(2021). Learning Ideological Embeddings from Information Cascades. CoRR.

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(2021). Hyper-parameter Optimization for Latent Spaces. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III.

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(2021). Adversarial Regularized Reconstruction for Anomaly Detection and Generation. IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021.

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

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(2021). A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper). Proceedings of the 29th Italian Symposium on Advanced Database Systems, SEBD 2021, Pizzo Calabro (VV), Italy, September 5-9, 2021.

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

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(2020). Exploiting Temporal Convolution for Activity Prediction in Process Analytics. ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings.

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(2020). Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Graz, Austria, September 23-25, 2020, Proceedings.

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(2020). A Deep Learning Approach for Detecting Security Attacks on Blockchain. Proceedings of the Fourth Italian Conference on Cyber Security, Ancona, Italy, February 4th to 7th, 2020.

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(2019). Network Topology. Encyclopedia of Bioinformatics and Computational Biology - Volume 1.

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(2019). Network Models. Encyclopedia of Bioinformatics and Computational Biology - Volume 1.

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(2019). Knowledge Discovery in Databases. Encyclopedia of Bioinformatics and Computational Biology - Volume 1.

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(2019). Deep Sequential Modeling for Recommendation. Proceedings of the 27th Italian Symposium on Advanced Database Systems, Castiglione della Pescaia (Grosseto), Italy, June 16-19, 2019.

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(2019). Deep Learning. Encyclopedia of Bioinformatics and Computational Biology - Volume 1.

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(2018). Temporal Recurrent Activation Networks. Proceedings of the 26th Italian Symposium on Advanced Database Systems, Castellaneta Marina (Taranto), Italy, June 24-27, 2018.

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(2018). Sequential Variational Autoencoders for Collaborative Filtering. CoRR.

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(2018). Predicting Temporal Activation Patterns via Recurrent Neural Networks. Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings.

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(2018). 20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions. A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years.

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(2017). Survival Factorization on Diffusion Networks. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I.

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

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(2017). Efficient Methods for Influence-Based Network-Oblivious Community Detection. ACM Trans. Intell. Syst. Technol..

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(2017). Differential Privacy and Neural Networks: A Preliminary Analysis. Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers.

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(2016). Rialto: A Knowledge Discovery suite for data analysis. Expert Syst. Appl..

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(2016). Recent advances in mining patterns from complex data. J. Intell. Inf. Syst..

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(2016). How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Qual. Reliab. Eng. Int..

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(2014). Who to follow and why: link prediction with explanations. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ‘14, New York, NY, USA - August 24 - 27, 2014.

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(2014). Probabilistic Approaches to Recommendations. Morgan & Claypool Publishers.

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(2014). Mining complex patterns. J. Intell. Inf. Syst..

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(2014). Dealing with trajectory streams by clustering and mathematical transforms. J. Intell. Inf. Syst..

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(2014). A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I.

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(2013). Towards Topic-aware Social Influence Propagation Models. 21st Italian Symposium on Advanced Database Systems, SEBD 2013, Roccella Jonica, Reggio Calabria, Italy, June 30 - July 4, 2013.

(2013). Topic-aware social influence propagation models. Knowl. Inf. Syst..

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(2013). Probabilistic topic models for sequence data. Mach. Learn..

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(2013). Outlying Property Detection with Numerical Attributes. CoRR.

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(2013). Influence-Based Network-Oblivious Community Detection. 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013.

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

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(2013). Cascade-based community detection. Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013.

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(2012). XML class outlier detection. 16th International Database Engineering & Applications Symposium, IDEAS ‘12, Prague, Czech Republic, August 8-10, 2012.

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(2012). Topic-Aware Social Influence Propagation Models. 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012.

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(2012). Probabilistic Sequence Modeling for Recommender Systems. KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4 - 7 October, 2012.

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(2012). Hierarchical Latent Factors for Preference Data. Twentieth Italian Symposium on Advanced Database Systems, SEBD 2012, Venice, Italy, June 24-27, 2012, Proceedings.

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(2012). Effectively Grouping Trajectory Streams. New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers.

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(2012). Effective Detection of XML Outliers. Advances in Knowledge-Based and Intelligent Information and Engineering Systems - 16th Annual KES Conference, San Sebastian, Spain, 10-12 September 2012.

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(2012). Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012.

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(2011). Modeling item selection and relevance for accurate recommendations: a bayesian approach. Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011.

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

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(2011). Data De-duplication: A Review. Learning Structure and Schemas from Documents.

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(2011). Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR 2011 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Paris, France, 26-29 October, 2011.

(2011). An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I.

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(2011). A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). Sistemi Evoluti per Basi di Dati - SEBD 2011, Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems, Maratea, Italy, June 26-29, 2011.

(2011). A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA.

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(2011). A Block Coclustering Model for Pattern Discovering in Users' Preference Data. Knowledge Discovery, Knowledge Engineering and Knowledge Management - Third International Joint Conference, IC3K 2011, Paris, France, October 26-29, 2011. Revised Selected Papers.

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(2010). Mining models of exceptional objects through rule learning. Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, March 22-26, 2010.

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(2010). Fast and Effective Hierarchical Clustering of XML Documents by Structure. Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010, Rimini, Italy, June 20-23, 2010.

(2010). An incremental clustering scheme for data de-duplication. Data Min. Knowl. Discov..

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(2010). A Block Mixture Model for Pattern Discovery in Preference Data. ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010.

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(2009). SNIPER: A Data Mining Methodology for Fiscal Fraud Detection. ERCIM News.

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(2009). Rule Learning with Probabilistic Smoothing. Data Warehousing and Knowledge Discovery, 11th International Conference, DaWaK 2009, Linz, Austria, August 31 - September 2, 2009, Proceedings.

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(2009). High Quality True-Positive Prediction for Fiscal Fraud Detection. ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009.

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(2009). Clustering Relational Data: A Transactional Approach. ICTAI 2009, 21st IEEE International Conference on Tools with Artificial Intelligence, Newark, New Jersey, USA, 2-4 November 2009.

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(2009). A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, SEBD 2009, Camogli, Italy, June 21-24, 2009.

(2008). The DAEDALUS framework: progressive querying and mining of movement data. 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2008, November 5-7, 2008, Irvine, California, USA, Proceedings.

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(2008). Querying and Reasoning for Spatiotemporal Data Mining. Mobility, Data Mining and Privacy - Geographic Knowledge Discovery.

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(2008). Mining categories for emails via clustering and pattern discovery. J. Intell. Inf. Syst..

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(2008). DAEDALUS: A knowledge discovery analysis framework for movement data. Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, SEBD 2008, 22-25 June 2008, Mondello, PA, Italy.

(2008). Boosting text segmentation via progressive classification. Knowl. Inf. Syst..

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(2008). A hierarchical model-based approach to co-clustering high-dimensional data. Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil, March 16-20, 2008.

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(2007). Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. Proceedings of the 23rd International Conference on Data Engineering Workshops, ICDE 2007, 15-20 April 2007, Istanbul, Turkey.

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(2007). A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, 17-20 June 2007, Torre Canne, Fasano, BR, Italy.

(2006). Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, SEBD 2006, Portonovo (Ancona), Italy, 18-21 June 2006.

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(2006). Effective Incremental Clustering for Duplicate Detection in Large Databases. Tenth International Database Engineering and Applications Symposium (IDEAS 2006), 11-14 December 2006, Delhi, India.

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(2006). Effective Incremental Clustering for Duplicate Detection in Large Databases. Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, SEBD 2006, Portonovo (Ancona), Italy, 18-21 June 2006.

(2005). RecBoost: A Supervised Approach to Text Segmentation. Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, SEBD 2005, Brixen-Bressanone (near Bozen-Bolzano), Italy, June 19-22, 2005.

(2005). Mining Unconnected Patterns in Workflows. Proceedings of the 2005 SIAM International Conference on Data Mining, SDM 2005, Newport Beach, CA, USA, April 21-23, 2005.

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(2005). Mining Correlations in Workflows Executions. Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, SEBD 2005, Brixen-Bressanone (near Bozen-Bolzano), Italy, June 19-22, 2005.

(2005). Mining and Reasoning on Workflows. IEEE Trans. Knowl. Data Eng..

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(2005). Exploiting Structural Similarity For Effective Web Information Extraction. Foundations of Semistructured Data, 6.-11. February 2005.

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(2005). An Incremental Clustering Scheme for Duplicate Detection in Large Databases. Ninth International Database Engineering and Applications Symposium (IDEAS 2005), 25-27 July 2005, Montreal, Canada.

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(2005). A Data Mining-based Framework for GridWorkflow Management. Fifth International Conference on Quality Software (QSIC 2005), 19-20 September 2005, Melbourne, Australia.

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(2004). Web wrapper induction: a brief survey. AI Commun..

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(2004). Towards a Logic Query Language for Data Mining. Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries.

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(2004). Specifying Mining Algorithms with Iterative User-Defined Aggregates. IEEE Trans. Knowl. Data Eng..

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(2004). Mining Constrained Graphs: The Case of Workflow Systems. Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers.

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(2004). Eureka!: an interactive and visual knowledge discovery tool. J. Vis. Lang. Comput..

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(2004). Clustering of XML Documents by Structure based on Tree Matching and Merging. Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, SEBD 2004, S. Margherita di Pula, Cagliari, Italy, June 21-23, 2004.

(2004). A Tree-Based Approach to Clustering XML Documents by Structure. Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings.

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(2003). Similarity-Based Clustering of Web Transactions. Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), March 9-12, 2003, Melbourne, FL, USA.

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(2003). Mining Frequent Instances on Workflows. Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings.

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(2003). Logical Languages for Data Mining. Logics for Emerging Applications of Databases [outcome of a Dagstuhl seminar].

(2002). LDL-M\(_\mboxine\): Integrating Data Mining with Intelligent Query Answering. Logics in Artificial Intelligence, European Conference, JELIA 2002, Cosenza, Italy, September, 23-26, Proceedings.

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(2002). Fast Detection of XML Structural Similarity. Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2002, Portoferraio, Isola d’Elba, Italy, 19-21 Giugno 2002.

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(2002). Eureka! : A Tool for Interactive Knowledge Discovery. Database and Expert Systems Applications, 13th International Conference, DEXA 2002, Aix-en-Provence, France, September 2-6, 2002, Proceedings.

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(2002). Detecting Structural Similarities between XML Documents. Proceedings of the Fifth International Workshop on the Web and Databases, WebDB 2002, Madison, Wisconsin, USA, June 6-7, 2002, in conjunction with ACM PODS/SIGMOD 2002. Informal proceedings.

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(2002). Clustering Transactional Data. Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings.

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(2002). Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering. 2002 International Symposium on Information Technology (ITCC 2002), 8-10 April 2002, Las Vegas, NV, USA.

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(2002). A Framework for Adaptive Mail Classification. 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 4-6 November 2002, Washington, DC, USA.

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(2001). Web log data warehousing and mining for intelligent web caching. Data Knowl. Eng..

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(2001). Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study. Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings.

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(2001). Nondeterministic, Nonmonotonic Logic Databases. IEEE Trans. Knowl. Data Eng..

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(2001). Data Mining for Intelligent Web Caching. 2001 International Symposium on Information Technology (ITCC 2001), 2-4 April 2001, Las Vegas, NV, USA.

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(2001). Clustering Transactional Data. Nono Convegno Nazionale Sistemi Evoluti per Basi di Dati, SEBD 2001, Venezia, Italy, 27-29 Giugno 2001.

(2000). Making Knowledge Extraction and Reasoning Closer. Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference, PADKK 2000, Kyoto, Japan, April 18-20, 2000, Proceedings.

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(2000). Declarative Knowledge Extraction with Interactive User-Defined Aggregates. Flexible Query Answering Systems - Recent Advances Proceedings of the Fourth International Conference on Flexible Query Answering Systems, FQAS 2000, Warsaw, Poland, October 25-28, 2000.

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(1999). Querying inductive Databases via Logic-Based user-defined aggregates. 1999 Joint Conference on Declarative Programming, AGP’99, L’Aquila, Italy, September 6-9, 1999.

(1999). Querying Inductive Databases via Logic-Based User-Defined Aggregates. Principles of Data Mining and Knowledge Discovery, Third European Conference, PKDD ‘99, Prague, Czech Republic, September 15-18, 1999, Proceedings.

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(1999). Integration of Deduction and Induction for Mining Supermarket Sales Data. Atti del Settimo Convegno Nazionale Sistemi Evoluti per Basi di Dati, SEBD 1999, Villa Olmo, Como, Italy, 23-25 Giugno 1999.

(1999). Experiences with a Logic-based knowledge discovery Support Environment. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, Philadelphia, USA, May 30, 1999.

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(1999). Experiences with a Logic-Based Knowledge Discovery Support Environment. *AIIA 99:Advances in Artificial Intelligence, 6th Congress of the Italian Association for Artificial Intelligence, Bologna, Italy, September 14-17, 1999, Proceedings.

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(1998). Query Answering in Nondeterministic, Nonmonotonic Logic Databases. Flexible Query Answering Systems, Third International Conference, FQAS’98, Roskilde, Denmark, May 13-15, 1998, Proceedings.

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(1998). On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases. Computer Science Logic, 12th International Workshop, CSL ‘98, Annual Conference of the EACSL, Brno, Czech Republic, August 24-28, 1998, Proceedings.

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(1997). Datalog++: a Basis for Active Object.Oriented Databases. Convegno Nazionale Sistemi Evolluti per Basi di Dati, SEBD 1997, Verona, Italy, 25-26-27 Giugno 1997.

(1997). Datalog++: A Basis for Active Object-Oriented Databases. Deductive and Object-Oriented Databases, 5th International Conference, DOOD’97, Montreux, Switzerland, December 8-12, 1997, Proceedings.

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(1997). A Deductive Data Model for Representing and Querying Semistructured Data. 1997 Joint Conf. on Declarative Programming, APPIA-GULP-PRODE’97, Grado, Italy, June 16-19, 1997.

(1996). Modeling Object Dynamics in Object-Oriented Logic Programming. 1996 Joint Conf. on Declarative Programming, APPIA-GULP-PRODE’96, Donostia-San Sebastian, Spain, July 15-18, 1996.

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