Francesco Folino

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 35

Top Topics

Intrusion Detection

Business Process

Outcome Prediction

Top Venues

J. Data Semant.

ICEIS (Revised Selected Papers)

Publications

Francesco Folino, Luigi Pontieri, Pietro Sabatino
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts. CoRR (2024)
Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques. J. Big Data 11 (1) (2024)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models. SN Comput. Sci. 5 (5) (2024)
Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino, Luigi Pontieri
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain. PDP (2024)
Francesco Folino, Luigi Pontieri, Pietro Sabatino
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction. ICPM Workshops (2023)
Nunziato Cassavia, Francesco Folino, Massimo Guarascio
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders. ICTAI (2022)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. ISMIS (2022)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs. Bus. Inf. Syst. Eng. 64 (6) (2022)
Francesco Folino, Luigi Pontieri
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion. J. Data Semant. 10 (1-2) (2021)
Francesco Folino, Luigi Pontieri
Correction to: AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion. J. Data Semant. 10 (3-4) (2021)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Francesco Sergio Pisani, Luigi Pontieri
On learning effective ensembles of deep neural networks for intrusion detection. Inf. Fusion 72 (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 Folino, Gianluigi Folino, Luigi Pontieri
A p2p environment to validate ensemble-based approaches in the cybersecurity domain. PDP (2020)
Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri
An ensemble-based approach to the security-oriented classification of low-level log traces. Expert Syst. Appl. 153 (2020)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances. PKDD/ECML Workshops (2020)
Francesco Folino, Luigi Pontieri
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs. Business Process Management Workshops (2019)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events. Inf. Syst. 81 (2019)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. ICTAI (2019)
Francesco Folino, Gianluigi Folino, Luigi Pontieri
An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances. HPCS (2018)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events. IDEAS (2018)
Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri
Combining Model- and Example-Driven Classification to Detect Security Breaches in Activity-Unaware Logs. OTM Conferences (2) (2018)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
Deviance-Aware Discovery of High-Quality Process Models. Int. J. Artif. Intell. Tools 27 (7) (2018)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
Deviance-Aware Discovery of High Quality Process Models. ICTAI (2017)
Francesco Folino, Gianluigi Folino, Luigi Pontieri, Pietro Sabatino
A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data. HPCS (2017)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
A descriptive clustering approach to the analysis of quantitative business-process deviances. SAC (2017)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning. ICEIS (Revised Selected Papers) (2017)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances. ICEIS (1) (2017)
Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Cloud-Based Prediction Framework for Analyzing Business Process Performances. CD-ARES (2016)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances. Int. J. Cooperative Inf. Syst. 25 (4) (2016)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
A multi-view multi-dimensional ensemble learning approach to mining business process deviances. IJCNN (2016)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes. ICEIS (1) (2015)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
Mining Multi-variant Process Models from Low-Level Logs. BIS (2015)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Multi-view Learning Approach to the Discovery of Deviant Process Instances. OTM Conferences (2015)
Francesco Folino, Clara Pizzuti
A recommendation engine for disease prediction. Inf. Syst. E Bus. Manag. 13 (4) (2015)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators. EDOC (2015)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Framework for the Discovery of Predictive Fix-time Models. ICEIS (1) (2014)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
Mining Predictive Process Models out of Low-level Multidimensional Logs. CAiSE (2014)
Francesco Folino, Clara Pizzuti
An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 26 (8) (2014)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Models. ICEIS (Revised Selected Papers) (2014)
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
Adaptive Trace Abstraction Approach for Predicting Business Process Performances. SEBD (2013)
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances. ICEIS (2013)
Alfredo Cuzzocrea, Francesco Folino
Community evolution detection in time-evolving information networks. EDBT/ICDT Workshops (2013)
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
Methods and techniques for discovering taxonomies of behavioral process models. WIREs Data Mining Knowl. Discov. 3 (3) (2013)
Alfredo Cuzzocrea, Francesco Folino, Clara Pizzuti
: an effective and efficient algorithm for supporting community evolution detection in time-evolving information networks. IDEAS (2013)
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances. ICEIS (1) (2013)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
Discovering High-Level Performance Models for Ticket Resolution Processes. OTM Conferences (2013)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. NFMCP (2012)
Francesco Folino, Clara Pizzuti
Link Prediction Approaches for Disease Networks. ITBAM (2012)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
Discovering Context-Aware Models for Predicting Business Process Performances. OTM Conferences (1) (2012)
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction. Data Knowl. Eng. 70 (12) (2011)
Francesco Folino, Clara Pizzuti
Combining Markov Models and Association Analysis for Disease Prediction. ITBAM (2011)
Francesco Folino, Clara Pizzuti
Multiobjective evolutionary community detection for dynamic networks. GECCO (2010)
Francesco Folino, Clara Pizzuti, Maria Ventura
A Comorbidity Network Approach to Predict Disease Risk. ITBAM (2010)
Francesco Folino, Clara Pizzuti
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks. ASONAM (2010)
Alfredo Cuzzocrea, Francesco Folino, Luigi Pontieri
Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques. ICEIS (2) (2010)
Francesco Folino, Clara Pizzuti
A comorbidity-based recommendation engine for disease prediction. CBMS (2010)
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
Scalable parallel co-clustering over multiple heterogeneous data types. HPCS (2010)
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
Discovering expressive process models from noised log data. IDEAS (2009)
Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
Boosting text segmentation via progressive classification. Knowl. Inf. Syst. 15 (3) (2008)
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes. ICEIS (2008)
Stefano Basta, Francesco Folino, Andrea Gualtieri, Marco Antonio Mastratisi, Luigi Pontieri
A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes. ADBIS (local proceedings) (2008)
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
Discovering Multi-Perspective Process Models. ICEIS (2) (2008)
Gianni Costa, Francesco Folino, Giuseppe Manco, Riccardo Ortale
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. SEBD (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)
Francesco Folino, Giuseppe Manco, Luigi Pontieri
Effective Incremental Clustering for Duplicate Detection in Large Databases. SEBD (2006)
Francesco Folino, Giuseppe Manco, Luigi Pontieri
Effective Incremental Clustering for Duplicate Detection in Large Databases. IDEAS (2006)
Eugenio Cesario, Francesco Folino, Giuseppe Manco, Luigi Pontieri
An Incremental Clustering Scheme for Duplicate Detection in Large Databases. IDEAS (2005)
Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
RecBoost: A Supervised Approach to Text Segmentation. SEBD (2005)
Eugenio Cesario, Francesco Folino, Riccardo Ortale
Putting Enhanced Hypermedia Personalization into Practice via Web Mining. DEXA (2004)