Francesco Folino

Francesco Folino, Luigi Pontieri, Gianluigi Folino, 2020, 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Models

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2014, ICEIS.

Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2017, ICEIS.

RecBoost: A Supervised Approach to Text Segmentation

Eugenio Cesario, Francesco Folino, Riccardo Ortale, 2005, SEBD.

Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes

Francesco Folino, Luigi Pontieri, Gianluigi Greco, 2008, ICEIS.

Multiobjective evolutionary community detection for dynamic networks

Francesco Folino, Clara Pizzuti, Francesco Folino, 2010, GECCO '10.

Combining Markov Models and Association Analysis for Disease Prediction

Francesco Folino, Clara Pizzuti, Francesco Folino, 2011, ITBAM.

Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs

Francesco Folino, Luigi Pontieri, Francesco Folino, 2019, Business Process Management Workshops.

A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data

Francesco Folino, Luigi Pontieri, Pietro Sabatino, 2017, 2017 International Conference on High Performance Computing & Simulation (HPCS).

A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2015, 2015 IEEE 19th International Enterprise Distributed Object Computing Conference.

A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes

Francesco Folino, Luigi Pontieri, Stefano Basta, 2008, ADBIS.

Effective Incremental Clustering for Duplicate Detection in Large Databases

Francesco Folino, Luigi Pontieri, Giuseppe Manco, 2006, 2006 10th International Database Engineering and Applications Symposium (IDEAS'06).

Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2010, ICEIS.

A Framework for the Discovery of Predictive Fix-time Models

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2014, ICEIS.

Mining Multi-variant Process Models from Low-Level Logs

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2015, BIS.

Methods and techniques for discovering taxonomies of behavioral process models

Francesco Folino, Luigi Pontieri, Gianluigi Greco, 2013, WIREs Data Mining Knowl. Discov..

Business Process Deviance Mining

Francesco Folino, Luigi Pontieri, 2019, Encyclopedia of Big Data Technologies.

A Comorbidity Network Approach to Predict Disease Risk

Francesco Folino, Clara Pizzuti, Maria Ventura, 2010, ITBAM.

A comorbidity-based recommendation engine for disease prediction

Francesco Folino, Clara Pizzuti, Francesco Folino, 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).

A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data

Francesco Folino, Gianni Costa, Riccardo Ortale, 2007, SEBD.

An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks

Francesco Folino, Clara Pizzuti, Francesco Folino, 2014, IEEE Transactions on Knowledge and Data Engineering.

WI'05 Non-PC Reviewers

Yuxin Mao, Ivan Janciak, Fabio Vitali, 2005, Web Intelligence.

Boosting text segmentation via progressive classification

Eugenio Cesario, Francesco Folino, Riccardo Ortale, 2008, Knowledge and Information Systems.

DynamicNet : an effective and efficient algorithm for supporting community evolution detection in time-evolving information networks

Alfredo Cuzzocrea, Francesco Folino, Clara Pizzuti, 2013, IDEAS 2013.

A Multi-view Learning Approach to the Discovery of Deviant Process Instances

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2015, OTM Conferences.

Community evolution detection in time-evolving information networks

Francesco Folino, Alfredo Cuzzocrea, Francesco Folino, 2013, EDBT '13.

A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2013, ICEIS.

Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2018, Inf. Syst..

On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2015, ICEIS.

Discovering Context-Aware Models for Predicting Business Process Performances

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2012, OTM Conferences.

A multi-view multi-dimensional ensemble learning approach to mining business process deviances

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Scalable parallel co-clustering over multiple heterogeneous data types

Francesco Folino, Luigi Pontieri, Gianluigi Greco, 2010, 2010 International Conference on High Performance Computing & Simulation.

Deviance-Aware Discovery of High Quality Process Models

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Discovering Multi-Perspective Process Models

Francesco Folino, Luigi Pontieri, Gianluigi Greco, 2008, ICEIS.

An incremental clustering scheme for duplicate detection in large databases

Eugenio Cesario, Francesco Folino, Luigi Pontieri, 2005, 9th International Database Engineering & Application Symposium (IDEAS'05).

A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2016, Int. J. Cooperative Inf. Syst..

Deviance-Aware Discovery of High-Quality Process Models

Francesco Folino, Alfredo Cuzzocrea, Luigi Pontieri, 2018, Int. J. Artif. Intell. Tools.

A descriptive clustering approach to the analysis of quantitative business-process deviances

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2017, SAC.

An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances

Francesco Folino, Luigi Pontieri, Gianluigi Folino, 2018, 2018 International Conference on High Performance Computing & Simulation (HPCS).

AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion

Francesco Folino, Luigi Pontieri, Francesco Folino, 2021, J. Data Semant..

AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion

Francesco Folino, Luigi Pontieri, Francesco Folino, 2021, Journal on Data Semantics.

On learning effective ensembles of deep neural networks for intrusion detection

Francesco Folino, Luigi Pontieri, Massimo Guarascio, 2021, Inf. Fusion.