Solving the Satisfiability Problem by a Parallel Celluar Genetic Algorithm. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (EUROMICRO, 1998)

Performance Evaluation and Modeling of MPI Communications on the Meiko CS-2. - Gianluigi Folino; Giandomenico Spezzano; Domenico Talia (HPCN Europe, 1998)

Combining cellular genetic algorithms and local search for solving satisfiability problems. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (ICTAI, 1998)

Evaluating and Modeling Communication Overhead of MPI Primitives on the Meiko CS-2. - Gianluigi Folino; Giandomenico Spezzano; Domenico Talia (PVM/MPI, 1998)

A Cellular Genetic Programming Approach to Classification. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (GECCO, 1999)

A cellular environment for steering high performance scientific applications. - Gianluigi Folino; Giandomenico Spezzano (PARCO, 1999)

Scalability Analysis and Performance Prediction for Cellular Programs on Parallel Computers. - Gianluigi Folino; Giandomenico Spezzano (ACRI, 2000)

Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (EuroGP, 2000)

CELLAR: a high level cellular programming language with regions. - Gianluigi Folino; Giandomenico Spezzano (PDP, 2000)

CAGE: A Tool for Parallel Genetic Programming Applications. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (EuroGP, 2001)

Parallel Genetic Programming for Decision Tree Induction. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (ICTAI, 2001)

Predictability of Cellular Programs Implemented with CAMELot. - Gianluigi Folino; Giandomenico Spezzano (PDP, 2001)

Parallel hybrid method for SAT that couples genetic algorithms and local search. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (IEEE Trans. Evol. Comput., 2001)

Improving Induction Decision Trees with Parallel Genetic Programming. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (PDP, 2002)

An Adaptive Flocking Algorithm for Spatial Clustering. - Gianluigi Folino; Giandomenico Spezzano (PPSN, 2002)

SPARROW: A Spatial Clustering Algorithm using Swarm Intelligence. - Gianluigi Folino; Giandomenico Spezzano (Applied Informatics, 2003)

Diversity analysis in cellular and multipopulation genetic programming. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano; Leonardo Vanneschi; Marco Tomassini (IEEE Congress on Evolutionary Computation, 2003)

Discovering Clusters in Spatial Data Using Swarm Intelligence. - Gianluigi Folino; Agostino Forestiero; Giandomenico Spezzano (ECAL, 2003)

Ensemble Techniques for Parallel Genetic Programming Based Classifiers. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (EuroGP, 2003)

Swarming Agents for Discovering Clusters in Spatial Data. - Gianluigi Folino; Agostino Forestiero; Giandomenico Spezzano (ISPDC, 2003)

A scalable cellular implementation of parallel genetic programming. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (IEEE Trans. Evol. Comput., 2003)

Boosting Technique for Combining Cellular GP Classifiers. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (EuroGP, 2004)

A General Architecture for Grid-Based PSE Toolkits. - Mario Cannataro; Carmela Comito; Antonio Congiusta; Gianluigi Folino; Carlo Mastroianni; Andrea Pugliese 001; Giandomenico Spezzano; Domenico Talia; Pierangelo Veltri (PARA, 2004)

Swarm-Based Distributed Clustering in Peer-to-Peer Systems. - Gianluigi Folino; Agostino Forestiero; Giandomenico Spezzano (Artificial Evolution, 2005)

GP Ensemble for Distributed Intrusion Detection Systems. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (ICAPR (1), 2005)

An Autonomic Middleware for Grid-Enabled Self-Organizing Applications. - Gianluigi Folino; Giandomenico Spezzano (Parallel and Distributed Computing and Networks, 2005)

CAMELotGrid: A Grid-based PSE for Autonomic Cellular Applications. - Gianluigi Folino; Giandomenico Spezzano (PDP, 2005)

Swarming Agents for Decentralized Clustering in Spatial Data. - Gianluigi Folino; Giandomenico Spezzano; Agostino Forestiero (Handbook of Bioinspired Algorithms and Applications, 2005)

P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems. - Gianluigi Folino; Giandomenico Spezzano (EuroGP, 2006)

Improving cooperative GP ensemble with clustering and pruning for pattern classification. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (GECCO, 2006)

A multidimensional flocking algorithm for clustering spatial data. - Antonio Augimeri; Gianluigi Folino; Agostino Forestiero; Giandomenico Spezzano (WOA, 2006)

A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming. - Gianluigi Folino; Agostino Forestiero; Giandomenico Spezzano (J. Softw., 2006)

A model based on cellular automata for the parallel simulation of 3D unsaturated flow. - Gianluigi Folino; Giuseppe Mendicino; Alfonso Senatore; Giandomenico Spezzano; Salvatore Straface (Parallel Comput., 2006)

GP ensembles for large-scale data classification. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (IEEE Trans. Evol. Comput., 2006)

Mining Distributed Evolving Data Streams Using Fractal GP Ensembles. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (EuroGP, 2007)

Efficient Distributed Data Condensation for Nearest Neighbor Classification. - Fabrizio Angiulli; Gianluigi Folino (Euro-Par, 2007)

StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (GECCO, 2007)

Content-based mining for solving geoprocessing problems on grids. - Gianluigi Folino; Agostino Forestiero; Giuseppe Papuzzo; Giandomenico Spezzano (UPGRADE-CN, 2007)

An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (ICTAI (2), 2007)

An autonomic tool for building self-organizing Grid-enabled applications. - Gianluigi Folino; Giandomenico Spezzano (Future Gener. Comput. Syst., 2007)

Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets. - Fabrizio Angiulli; Gianluigi Folino (IEEE Trans. Knowl. Data Eng., 2007)

A grid-based architecture for nearest neighbor based condensation of huge datasets. - Fabrizio Angiulli; Gianluigi Folino (UPGRADE-CN, 2008)

Performance Evaluation of Protein Structure Comparison Algorithms Under Integrated Resource Management Environment for MPI Jobs. - Azhar Ali Shah; Daniel Barthel; Gianluigi Folino; Natalio Krasnogor (ISPA, 2008)

Training Distributed GP Ensemble With a Selective Algorithm Based on Clustering and Pruning for Pattern Classification. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (IEEE Trans. Evol. Comput., 2008)

On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid. - Gianluigi Folino; Azhar Ali Shah; Natalio Krasnogor (CBMS, 2009)

Clustering Metagenome Short Reads Using Weighted Proteins. - Gianluigi Folino; Fabio Gori; Mike S. M. Jetten; Elena Marchiori (EvoBIO, 2009)

Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data. - Gianluigi Folino; Fabio Gori; Mike S. M. Jetten; Elena Marchiori (PRIB, 2009)

An adaptive flocking algorithm for performing approximate clustering. - Gianluigi Folino; Agostino Forestiero; Giandomenico Spezzano (Inf. Sci., 2009)

Handling Different Categories of Concept Drifts in Data Streams Using Distributed GP. - Gianluigi Folino; Giuseppe Papuzzo (EuroGP, 2010)

On the Scalability of Multi-Criteria Protein Structure Comparison in the Grid. - Gianluigi Folino; Azhar Ali Shah; Natalio Krasnogor (Euro-Par Workshops, 2010)

Using Entropy for Evaluating Swarm Intelligence Algorithms. - Gianluigi Folino; Agostino Forestiero (NICSO, 2010)

A grid portal for solving geoscience problems using distributed knowledge discovery services. - Gianluigi Folino; Agostino Forestiero; Giuseppe Papuzzo; Giandomenico Spezzano (Future Gener. Comput. Syst., 2010)

Special section: Bio-inspired algorithms for distributed systems. - Gianluigi Folino; Carlo Mastroianni (Future Gener. Comput. Syst., 2010)

An ensemble-based evolutionary framework for coping with distributed intrusion detection. - Gianluigi Folino; Clara Pizzuti; Giandomenico Spezzano (Genet. Program. Evolvable Mach., 2010)

A Bayesian Approach for Combining Ensembles of GP Classifiers. - Claudio De Stefano; Francesco Fontanella; Gianluigi Folino; Alessandra Scotto di Freca (MCS, 2011)

MTR: taxonomic annotation of short metagenomic reads using clustering at multiple taxonomic ranks. - Fabio Gori; Gianluigi Folino; Mike S. M. Jetten; Elena Marchiori (Bioinform., 2011)

Special Issue: Bio-Inspired Optimization Techniques for High Performance Computing. - Gianluigi Folino; Carlo Mastroianni (New Gener. Comput., 2011)

Pruning GP-Based Classifier Ensembles by Bayesian Networks. - Claudio De Stefano; Gianluigi Folino; Francesco Fontanella; Alessandra Scotto di Freca (PPSN (1), 2012)

A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming. - Gianluigi Folino; Francesco Sergio Pisani (EvoApplications, 2013)

Automatic Offloading of Mobile Applications Using Evolutionary Algorithms. - Gianluigi Folino; Francesco Sergio Pisani (ERCIM News, 2013)

Preface: nature inspired solutions for high performance computing. - Gianluigi Folino; Carlo Mastroianni; Sanaz Mostaghim (Nat. Comput., 2013)

Modeling the Offloading of Different Types of Mobile Applications by Using Evolutionary Algorithms. - Gianluigi Folino; Francesco Sergio Pisani (EvoApplications, 2014)

Efficient discovery of data mining services over DHT-based overlays. - Gianluigi Folino; Francesco Sergio Pisani; Paolo Trunfio (HPCS, 2014)

Automatic offloading of mobile applications into the cloud by means of genetic programming. - Gianluigi Folino; Francesco Sergio Pisani (Appl. Soft Comput., 2014)

Using Bayesian networks for selecting classifiers in GP ensembles. - Claudio De Stefano; Gianluigi Folino; Francesco Fontanella; Alessandra Scotto di Freca (Inf. Sci., 2014)

A distributed framework for supporting adaptive ensemble-based intrusion detection. - Alfredo Cuzzocrea; Gianluigi Folino; Pietro Sabatino (IEEE BigData, 2015)

Combining Ensemble of Classifiers by Using Genetic Programming for Cyber Security Applications. - Gianluigi Folino; Francesco Sergio Pisani (EvoApplications, 2015)

Strategies for Parallelizing Swarm Intelligence Algorithms. - Franco Cicirelli; Gianluigi Folino; Agostino Forestiero; Andrea Giordano; Carlo Mastroianni; Giandomenico Spezzano (PDP, 2015)

Improving GP generalization: a variance-based layered learning approach. - Maryam Amir Haeri; Mohammad Mehdi Ebadzadeh; Gianluigi Folino (Genet. Program. Evolvable Mach., 2015)

A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers. - Gianluigi Folino; Francesco Sergio Pisani; Pietro Sabatino (EvoApplications (1), 2016)

An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets. - Gianluigi Folino; Francesco Sergio Pisani; Pietro Sabatino (GECCO (Companion), 2016)

Adaptive Intrusion Detection in Distributed Environments: An Ensemble-Based Approach. - Alfredo Cuzzocrea; Gianluigi Folino; Pietro Sabatino (SEBD, 2016)

Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain. - Gianluigi Folino; Francesco Sergio Pisani (Appl. Soft Comput., 2016)

Ensemble based collaborative and distributed intrusion detection systems: A survey. - Gianluigi Folino; Pietro Sabatino (J. Netw. Comput. Appl., 2016)

A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data. - Francesco Folino; Gianluigi Folino; Luigi Pontieri; Pietro Sabatino (HPCS, 2017)

A Software Architecture for Classifying Users in E-payment Systems. - Gianluigi Folino; Francesco Sergio Pisani (ITASEC, 2017)

Parallel Execution of Cellular Automata through Space Partitioning: The Landslide Simulation Sciddicas3-Hex Case Study. - Andrea Giordano; Alessio De Rango; Davide Spataro; Donato D'Ambrosio; Carlo Mastroianni; Gianluigi Folino; William Spataro (PDP, 2017)

Statistical genetic programming for symbolic regression. - Maryam Amir Haeri; Mohammad Mehdi Ebadzadeh; Gianluigi Folino (Appl. Soft Comput., 2017)

An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances. - Francesco Folino; Gianluigi Folino; Luigi Pontieri (HPCS, 2018)

Special issue on evolutionary multi-objective optimization and applications in big data. - Gianluigi Folino; Giuseppe A. Trunfio (Appl. Soft Comput., 2018)

Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. - Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri; Pietro Sabatino; Maryam Amir Haeri (GECCO (Companion), 2019)

Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (ICTAI, 2019)

A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources. - Gianluigi Folino; Massimo Guarascio 001; Francesco Chiaravalloti; Salvatore Gabriele (IJCNN, 2019)

A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning. - Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri (NUMTA(1), 2019)

Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts. - Gianluigi Folino; Massimo Guarascio 001; Giuseppe Papuzzo (Appl. Soft Comput., 2019)

Deep Learning on Big Data. - Gianluigi Folino; Massimo Guarascio 001; Maryam Amir Haeri (Encyclopedia of Big Data Technologies, 2019)

A p2p environment to validate ensemble-based approaches in the cybersecurity domain. - Francesco Folino; Gianluigi Folino; Luigi Pontieri (PDP, 2020)

A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (PKDD/ECML Workshops, 2020)

Using Deep Learning and Data Integration for Accurate Rainfall Estimates. - Gianluigi Folino; Massimo Guarascio 001; Francesco Chiaravalloti; Salvatore Gabriele (ERCIM News, 2020)

A GP-based ensemble classification framework for time-changing streams of intrusion detection data. - Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri (Soft Comput., 2020)

Discovering accurate deep learning based predictive models for automatic customer support ticket classification. - Paolo Zicari; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (SAC, 2021)

On learning effective ensembles of deep neural networks for intrusion detection. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Francesco Sergio Pisani; Luigi Pontieri (Inf. Fusion, 2021)

SDCOR: Scalable density-based clustering for local outlier detection in massive-scale datasets. - Sayyed-Ahmad Naghavi-Nozad; Maryam Amir Haeri; Gianluigi Folino (Knowl. Based Syst., 2021)

Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (ISMIS, 2022)

A Scalable Architecture Exploiting Elastic Stack and Meta Ensemble of Classifiers for Profiling User Behaviour. - Gianluigi Folino; Carla Otranto Godano; Francesco Sergio Pisani (PDP, 2022)

Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (Bus. Inf. Syst. Eng., 2022)

A Scalable Ensemble-based Framework to Analyse Users? Digital Footprints for Cybersecurity. - Gianluigi Folino; Francesco Sergio Pisani; Carla Otranto Godano (ERCIM News, 2022)

Combining deep ensemble learning and explanation for intelligent ticket management. - Paolo Zicari; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (Expert Syst. Appl., 2022)

A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources. - Massimo Guarascio 001; Gianluigi Folino; Francesco Chiaravalloti; Salvatore Gabriele; Antonio Procopio; Pietro Sabatino (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora. - Paolo Zicari; Massimo Guarascio 001; Luigi Pontieri; Gianluigi Folino (ICEIS (1), 2023)

Fighting Misinformation, Radicalization and Bias in Social Media. - Erica Coppolillo; Carmela Comito; Marco Minici; Ettore Ritacco; Gianluigi Folino; Francesco Sergio Pisani; Massimo Guarascio 001; Giuseppe Manco 001 (Ital-IA, 2023)

Explainable Process Deviance Discovery with Data-Efficient Deep Learning. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (NUMTA (1), 2023)

Self-Sovereign Identification of IoT Devices by Using Physically Unclonable Functions and Blockchain. - Gianluigi Folino; Agostino Forestiero; Giuseppe Papuzzo (NUMTA (3), 2023)

An Explainable Deep Ensemble Framework for Intelligent Ticket Management. - Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri; Paolo Zicari (ERCIM News, 2023)

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity. - Gianluigi Folino; Carla Otranto Godano; Francesco Sergio Pisani (J. Supercomput., 2023)

Learning ensembles of deep neural networks for extreme rainfall event detection. - Gianluigi Folino; Massimo Guarascio 001; Francesco Chiaravalloti (Neural Comput. Appl., 2023)

A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain. - Francesco Folino; Gianluigi Folino; Francesco Sergio Pisani; Pietro Sabatino; Luigi Pontieri (PDP, 2024)

Boosting MATE Security through Small Language Models. - Luca Caviglione; Gianluigi Folino; Massimo Guarascio 001; Paolo Zicari (ERCIM News, 2024)

Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri; Paolo Zicari (SN Comput. Sci., 2024)

Data- & compute-efficient deviance mining via active learning and fast ensembles. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (J. Intell. Inf. Syst., 2024)

Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques. - Francesco Folino; Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri; Pietro Sabatino (J. Big Data, 2024)

Discovering ensembles of small language models out of scarcely labelled data for fake news detection. - Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri; Paolo Zicari (Appl. Soft Comput., 2025)

The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Luigi Pontieri (Soft Comput., 2025)