Gianluigi Folino

Orcid: 0000-0002-8139-3445

According to our database1, Gianluigi Folino authored at least 105 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

2023
Learning ensembles of deep neural networks for extreme rainfall event detection.
Neural Comput. Appl., May, 2023

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity.
J. Supercomput., 2023

An Explainable Deep Ensemble Framework for Intelligent Ticket Management.
ERCIM News, 2023

Fighting Misinformation, Radicalization and Bias in Social Media.
Proceedings of the Italia Intelligenza Artificiale, 2023

Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources.
IEEE Trans. Geosci. Remote. Sens., 2022

Combining deep ensemble learning and explanation for intelligent ticket management.
Expert Syst. Appl., 2022

A Scalable Ensemble-based Framework to Analyse Users? Digital Footprints for Cybersecurity.
ERCIM News, 2022

Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs.
Bus. Inf. Syst. Eng., 2022

A Scalable Architecture Exploiting Elastic Stack and Meta Ensemble of Classifiers for Profiling User Behaviour.
Proceedings of the 30th Euromicro International Conference on Parallel, 2022

Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

2021
SDCOR: Scalable density-based clustering for local outlier detection in massive-scale datasets.
Knowl. Based Syst., 2021

On learning effective ensembles of deep neural networks for intrusion detection.
Inf. Fusion, 2021

Discovering accurate deep learning based predictive models for automatic customer support ticket classification.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020
A GP-based ensemble classification framework for time-changing streams of intrusion detection data.
Soft Comput., 2020

Using Deep Learning and Data Integration for Accurate Rainfall Estimates.
ERCIM News, 2020

A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances.
Proceedings of the ECML PKDD 2020 Workshops, 2020

A p2p environment to validate ensemble-based approaches in the cybersecurity domain.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020

2019
Deep Learning on Big Data.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts.
Appl. Soft Comput., 2019

A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Special issue on evolutionary multi-objective optimization and applications in big data.
Appl. Soft Comput., 2018

An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017
Statistical genetic programming for symbolic regression.
Appl. Soft Comput., 2017

Parallel Execution of Cellular Automata through Space Partitioning: The Landslide Simulation Sciddicas3-Hex Case Study.
Proceedings of the 25th Euromicro International Conference on Parallel, 2017

A Software Architecture for Classifying Users in E-payment Systems.
Proceedings of the First Italian Conference on Cybersecurity (ITASEC17), 2017

A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016
Ensemble based collaborative and distributed intrusion detection systems: A survey.
J. Netw. Comput. Appl., 2016

Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain.
Appl. Soft Comput., 2016

Adaptive Intrusion Detection in Distributed Environments: An Ensemble-Based Approach.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2015
Improving GP generalization: a variance-based layered learning approach.
Genet. Program. Evolvable Mach., 2015

Strategies for Parallelizing Swarm Intelligence Algorithms.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Combining Ensemble of Classifiers by Using Genetic Programming for Cyber Security Applications.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

A distributed framework for supporting adaptive ensemble-based intrusion detection.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Using Bayesian networks for selecting classifiers in GP ensembles.
Inf. Sci., 2014

Automatic offloading of mobile applications into the cloud by means of genetic programming.
Appl. Soft Comput., 2014

Efficient discovery of data mining services over DHT-based overlays.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Modeling the Offloading of Different Types of Mobile Applications by Using Evolutionary Algorithms.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Preface: nature inspired solutions for high performance computing.
Nat. Comput., 2013

Automatic Offloading of Mobile Applications Using Evolutionary Algorithms.
ERCIM News, 2013

A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

2012
Pruning GP-Based Classifier Ensembles by Bayesian Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011
Special Issue: Bio-Inspired Optimization Techniques for High Performance Computing.
New Gener. Comput., 2011

MTR: taxonomic annotation of short metagenomic reads using clustering at multiple taxonomic ranks.
Bioinform., 2011

A Bayesian Approach for Combining Ensembles of GP Classifiers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2010
An ensemble-based evolutionary framework for coping with distributed intrusion detection.
Genet. Program. Evolvable Mach., 2010

Special section: Bio-inspired algorithms for distributed systems.
Future Gener. Comput. Syst., 2010

A grid portal for solving geoscience problems using distributed knowledge discovery services.
Future Gener. Comput. Syst., 2010

Using Entropy for Evaluating Swarm Intelligence Algorithms.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010

On the Scalability of Multi-Criteria Protein Structure Comparison in the Grid.
Proceedings of the Euro-Par 2010 Parallel Processing Workshops, 2010

Handling Different Categories of Concept Drifts in Data Streams Using Distributed GP.
Proceedings of the Genetic Programming, 13th European Conference, 2010

2009
An adaptive flocking algorithm for performing approximate clustering.
Inf. Sci., 2009

Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Clustering Metagenome Short Reads Using Weighted Proteins.
Proceedings of the Evolutionary Computation, 2009

On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008
Training Distributed GP Ensemble With a Selective Algorithm Based on Clustering and Pruning for Pattern Classification.
IEEE Trans. Evol. Comput., 2008

Performance Evaluation of Protein Structure Comparison Algorithms Under Integrated Resource Management Environment for MPI Jobs.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

A grid-based architecture for nearest neighbor based condensation of huge datasets.
Proceedings of the 3rd Workshop on the Use of P2P, 2008

2007
Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets.
IEEE Trans. Knowl. Data Eng., 2007

An autonomic tool for building self-organizing Grid-enabled applications.
Future Gener. Comput. Syst., 2007

An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Content-based mining for solving geoprocessing problems on grids.
Proceedings of the 2nd Workshop on the Use of P2P, 2007

StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Efficient Distributed Data Condensation for Nearest Neighbor Classification.
Proceedings of the Euro-Par 2007, 2007

Mining Distributed Evolving Data Streams Using Fractal GP Ensembles.
Proceedings of the Genetic Programming, 10th European Conference, 2007

2006
GP ensembles for large-scale data classification.
IEEE Trans. Evol. Comput., 2006

A model based on cellular automata for the parallel simulation of 3D unsaturated flow.
Parallel Comput., 2006

A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming.
J. Softw., 2006

A multidimensional flocking algorithm for clustering spatial data.
Proceedings of the 7th WOA 2006 Workshop, 2006

Improving cooperative GP ensemble with clustering and pruning for pattern classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems.
Proceedings of the Genetic Programming, 9th European Conference, 2006

2005
Swarming Agents for Decentralized Clustering in Spatial Data.
Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005

CAMELotGrid: A Grid-based PSE for Autonomic Cellular Applications.
Proceedings of the 13th Euromicro Workshop on Parallel, 2005

An Autonomic Middleware for Grid-Enabled Self-Organizing Applications.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2005

GP Ensemble for Distributed Intrusion Detection Systems.
Proceedings of the Pattern Recognition and Data Mining, 2005

Swarm-Based Distributed Clustering in Peer-to-Peer Systems.
Proceedings of the Artificial Evolution, 2005

2004
A General Architecture for Grid-Based PSE Toolkits.
Proceedings of the Applied Parallel Computing, 2004

Boosting Technique for Combining Cellular GP Classifiers.
Proceedings of the Genetic Programming, 7th European Conference, 2004

2003
A scalable cellular implementation of parallel genetic programming.
IEEE Trans. Evol. Comput., 2003

Swarming Agents for Discovering Clusters in Spatial Data.
Proceedings of the 2nd International Symposium on Parallel and Distributed Computing (ISPDC 2003), 2003

Ensemble Techniques for Parallel Genetic Programming Based Classifiers.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

Discovering Clusters in Spatial Data Using Swarm Intelligence.
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003

Diversity analysis in cellular and multipopulation genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

SPARROW: A Spatial Clustering Algorithm using Swarm Intelligence.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2002
An Adaptive Flocking Algorithm for Spatial Clustering.
Proceedings of the Parallel Problem Solving from Nature, 2002

Improving Induction Decision Trees with Parallel Genetic Programming.
Proceedings of the 10th Euromicro Workshop on Parallel, 2002

2001
Parallel hybrid method for SAT that couples genetic algorithms and local search.
IEEE Trans. Evol. Comput., 2001

Predictability of Cellular Programs Implemented with CAMELot.
Proceedings of the Ninth Euromicro Workshop on Parallel and Distributed Processing, 2001

Parallel Genetic Programming for Decision Tree Induction.
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

CAGE: A Tool for Parallel Genetic Programming Applications.
Proceedings of the Genetic Programming, 4th European Conference, 2001

2000
CELLAR: a high level cellular programming language with regions.
Proceedings of the Eight Euromicro Workshop on Parallel and Distributed Processing, 2000

Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees.
Proceedings of the Genetic Programming, European Conference, 2000

Scalability Analysis and Performance Prediction for Cellular Programs on Parallel Computers.
Proceedings of the Theoretical and Practical Issues on Cellular Automata, 2000

1999
A cellular environment for steering high performance scientific applications.
Proceedings of the Parallel Computing: Fundamentals & Applications, 1999

A Cellular Genetic Programming Approach to Classification.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998
Evaluating and Modeling Communication Overhead of MPI Primitives on the Meiko CS-2.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 1998

Combining cellular genetic algorithms and local search for solving satisfiability problems.
Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998

Performance Evaluation and Modeling of MPI Communications on the Meiko CS-2.
Proceedings of the High-Performance Computing and Networking, 1998

Solving the Satisfiability Problem by a Parallel Celluar Genetic Algorithm.
Proceedings of the 24th EUROMICRO '98 Conference, 1998


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