Francesco Folino

78 papers A 2B 8C 8Misc 1Journal 23Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Seeing the invisible: Detection of stealth DoS attacks using variational U-Net-like models. J. Inf. Secur. Appl. Enrico Cambiaso, Francesco Folino, Massimo Guarascio, Angelica Liguori, Antonino Rullo
2026	J	`jnl`	Sustainable hybrid text classification: Enhancing encoder-only language models with NLI-derived pseudo-examples. Array Cristian Cosentino, Francesco Folino, Fabrizio Marozzo, Luigi Pontieri
2025	J	`jnl`	Generating multiperspective process traces using conditional variational autoencoders. Process Sci. Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri
2025	J	`jnl`	The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding. Soft Comput. Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2025	J	`jnl`	Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors. Neural Comput. Appl. Alfredo Cuzzocrea, Francesco Folino, Luigi Pontieri, Pietro Sabatino, Maryam Samami
2024	C	`conf`	A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain. PDP Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino, Luigi Pontieri
2024	J	`jnl`	Data- & compute-efficient deviance mining via active learning and fast ensembles. J. Intell. Inf. Syst. Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2024	J	`jnl`	Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts. CoRR Francesco Folino, Luigi Pontieri, Pietro Sabatino
2024	J	`jnl`	Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques. J. Big Data Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino
2024	B	`conf`	Generating the Traces You Need: A Conditional Generative Model for Process Mining Data. ICPM Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri
2024	J	`jnl`	Generating the Traces You Need: A Conditional Generative Model for Process Mining Data. CoRR Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri
2024	J	`jnl`	Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models. SN Comput. Sci. Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
2023	—	`conf`	Explainable Process Deviance Discovery with Data-Efficient Deep Learning. NUMTA (1) Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2023	—	`conf`	Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction. ICPM Workshops Francesco Folino, Luigi Pontieri, Pietro Sabatino
2022	C	`conf`	Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. ISMIS Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2022	B	`conf`	Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders. ICTAI Nunziato Cassavia, Francesco Folino, Massimo Guarascio
2022	J	`jnl`	Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs. Bus. Inf. Syst. Eng. Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2021	J	`jnl`	AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion. J. Data Semant. Francesco Folino, Luigi Pontieri
2021	J	`jnl`	Correction to: AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion. J. Data Semant. Francesco Folino, Luigi Pontieri
2021	J	`jnl`	On learning effective ensembles of deep neural networks for intrusion detection. Inf. Fusion Francesco Folino, Gianluigi Folino, Massimo Guarascio, Francesco Sergio Pisani, Luigi Pontieri
2020	—	`conf`	A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances. PKDD/ECML Workshops Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2020	C	`conf`	A p2p environment to validate ensemble-based approaches in the cybersecurity domain. PDP Francesco Folino, Gianluigi Folino, Luigi Pontieri
2020	J	`jnl`	An ensemble-based approach to the security-oriented classification of low-level log traces. Expert Syst. Appl. Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri
2020	—	`conf`	Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco
2019	—	`ch.`	Business Process Deviance Mining. Encyclopedia of Big Data Technologies Francesco Folino, Luigi Pontieri
2019	B	`conf`	Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. ICTAI Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2019	J	`jnl`	Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events. Inf. Syst. Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2019	—	`conf`	Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs. Business Process Management Workshops Francesco Folino, Luigi Pontieri
2018	C	`conf`	A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events. IDEAS Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2018	—	`conf`	An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances. HPCS Francesco Folino, Gianluigi Folino, Luigi Pontieri
2018	—	`conf`	Combining Model- and Example-Driven Classification to Detect Security Breaches in Activity-Unaware Logs. OTM Conferences (2) Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri
2018	J	`jnl`	Deviance-Aware Discovery of High-Quality Process Models. Int. J. Artif. Intell. Tools Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017	—	`conf`	A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data. HPCS Francesco Folino, Gianluigi Folino, Luigi Pontieri, Pietro Sabatino
2017	Misc	`conf`	A descriptive clustering approach to the analysis of quantitative business-process deviances. SAC Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017	B	`conf`	Deviance-Aware Discovery of High Quality Process Models. ICTAI Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017	—	`conf`	Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning. ICEIS (Revised Selected Papers) Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017	—	`conf`	Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances. ICEIS (1) Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016	—	`conf`	A Cloud-Based Prediction Framework for Analyzing Business Process Performances. CD-ARES Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016	J	`jnl`	A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances. Int. J. Cooperative Inf. Syst. Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016	B	`conf`	A multi-view multi-dimensional ensemble learning approach to mining business process deviances. IJCNN Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015	—	`conf`	A Multi-view Learning Approach to the Discovery of Deviant Process Instances. OTM Conferences Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015	B	`conf`	A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators. EDOC Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015	J	`jnl`	A recommendation engine for disease prediction. Inf. Syst. E Bus. Manag. Francesco Folino, Clara Pizzuti
2015	—	`conf`	Mining Multi-variant Process Models from Low-Level Logs. BIS Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015	—	`conf`	On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes. ICEIS (1) Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014	—	`conf`	A Framework for the Discovery of Predictive Fix-time Models. ICEIS (1) Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014	—	`conf`	An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Models. ICEIS (Revised Selected Papers) Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014	J	`jnl`	An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks. IEEE Trans. Knowl. Data Eng. Francesco Folino, Clara Pizzuti
2014	A	`conf`	Mining Predictive Process Models out of Low-level Multidimensional Logs. CAiSE Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013	—	`conf`	A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances. ICEIS Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013	—	`conf`	A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances. ICEIS (1) Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013	—	`conf`	Adaptive Trace Abstraction Approach for Predicting Business Process Performances. SEBD Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013	—	`conf`	Community evolution detection in time-evolving information networks. EDBT/ICDT Workshops Alfredo Cuzzocrea, Francesco Folino
2013	—	`conf`	Discovering High-Level Performance Models for Ticket Resolution Processes. OTM Conferences Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013	J	`jnl`	Methods and techniques for discovering taxonomies of behavioral process models. WIREs Data Mining Knowl. Discov. Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2012	—	`conf`	Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. NFMCP Francesco Folino, Massimo Guarascio, Luigi Pontieri
2012	—	`conf`	Discovering Context-Aware Models for Predicting Business Process Performances. OTM Conferences (1) Francesco Folino, Massimo Guarascio, Luigi Pontieri
2012	—	`conf`	Link Prediction Approaches for Disease Networks. ITBAM Francesco Folino, Clara Pizzuti
2011	—	`conf`	Combining Markov Models and Association Analysis for Disease Prediction. ITBAM Francesco Folino, Clara Pizzuti
2011	J	`jnl`	Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction. Data Knowl. Eng. Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2010	—	`conf`	A Comorbidity Network Approach to Predict Disease Risk. ITBAM Francesco Folino, Clara Pizzuti, Maria Ventura
2010	B	`conf`	A Multiobjective and Evolutionary Clustering Method for Dynamic Networks. ASONAM Francesco Folino, Clara Pizzuti
2010	B	`conf`	A comorbidity-based recommendation engine for disease prediction. CBMS Francesco Folino, Clara Pizzuti
2010	—	`conf`	Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques. ICEIS (2) Alfredo Cuzzocrea, Francesco Folino, Luigi Pontieri
2010	A	`conf`	Multiobjective evolutionary community detection for dynamic networks. GECCO Francesco Folino, Clara Pizzuti
2010	—	`conf`	Scalable parallel co-clustering over multiple heterogeneous data types. HPCS Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2009	C	`conf`	Discovering expressive process models from noised log data. IDEAS Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2008	—	`conf`	A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes. ADBIS (local proceedings) Stefano Basta, Francesco Folino, Andrea Gualtieri, Marco Antonio Mastratisi, Luigi Pontieri
2008	J	`jnl`	Boosting text segmentation via progressive classification. Knowl. Inf. Syst. Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2008	—	`conf`	Discovering Multi-Perspective Process Models. ICEIS (2) Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2008	—	`conf`	Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes. ICEIS Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2007	—	`conf`	A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. SEBD Gianni Costa, Francesco Folino, Giuseppe Manco, Riccardo Ortale
2007	—	`conf`	Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. ICDE Workshops Gianni Costa, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2006	C	`conf`	Effective Incremental Clustering for Duplicate Detection in Large Databases. IDEAS Francesco Folino, Giuseppe Manco, Luigi Pontieri
2006	—	`conf`	Effective Incremental Clustering for Duplicate Detection in Large Databases. SEBD Francesco Folino, Giuseppe Manco, Luigi Pontieri
2005	C	`conf`	An Incremental Clustering Scheme for Duplicate Detection in Large Databases. IDEAS Eugenio Cesario, Francesco Folino, Giuseppe Manco, Luigi Pontieri
2005	—	`conf`	RecBoost: A Supervised Approach to Text Segmentation. SEBD Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2004	C	`conf`	Putting Enhanced Hypermedia Personalization into Practice via Web Mining. DEXA Eugenio Cesario, Francesco Folino, Riccardo Ortale