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2020 – today
- 2024
[j34]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): 77 (2024)- [j33]Francesco Folino, Gianluigi Folino, Massimo Guarascio
, Luigi Pontieri:
Data- & compute-efficient deviance mining via active learning and fast ensembles. J. Intell. Inf. Syst. 62(4): 995-1019 (2024) - [j32]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): 470 (2024) - [c69]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: 245-252 - 2023
- [j31]Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti:
Learning ensembles of deep neural networks for extreme rainfall event detection. Neural Comput. Appl. 35(14): 10347-10360 (2023) - [j30]Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani:
An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity. J. Supercomput. 79(11): 11660-11683 (2023) - [c68]Paolo Zicari, Massimo Guarascio, Luigi Pontieri, Gianluigi Folino:
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora. ICEIS (1) 2023: 344-353 - [c67]Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Fighting Misinformation, Radicalization and Bias in Social Media. Ital-IA 2023: 443-448 - [i5]Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari:
An Explainable Deep Ensemble Framework for Intelligent Ticket Management. ERCIM News 2023(134) (2023) - 2022
- [j29]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): 729-749 (2022) - [j28]Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Combining deep ensemble learning and explanation for intelligent ticket management. Expert Syst. Appl. 206: 117815 (2022) - [j27]Massimo Guarascio, Gianluigi Folino, Francesco Chiaravalloti, Salvatore Gabriele, Antonio Procopio, Pietro Sabatino:
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c66]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. ISMIS 2022: 346-356 - [c65]Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani:
A Scalable Architecture Exploiting Elastic Stack and Meta Ensemble of Classifiers for Profiling User Behaviour. PDP 2022: 189-196 - [i4]Gianluigi Folino, Francesco Sergio Pisani, Carla Otranto Godano:
A Scalable Ensemble-based Framework to Analyse Users? Digital Footprints for Cybersecurity. ERCIM News 2022(129): 0 (2022) - 2021
- [j26]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: 48-69 (2021) - [j25]Sayyed-Ahmad Naghavi-Nozad, Maryam Amir Haeri, Gianluigi Folino:
SDCOR: Scalable density-based clustering for local outlier detection in massive-scale datasets. Knowl. Based Syst. 228: 107256 (2021) - [c64]Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Discovering accurate deep learning based predictive models for automatic customer support ticket classification. SAC 2021: 1098-1101 - 2020
- [j24]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri:
A GP-based ensemble classification framework for time-changing streams of intrusion detection data. Soft Comput. 24(23): 17541-17560 (2020) - [c63]Francesco Folino, Gianluigi Folino, Luigi Pontieri:
A p2p environment to validate ensemble-based approaches in the cybersecurity domain. PDP 2020: 344-351 - [c62]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: 249-262 - [i3]Sayyed-Ahmad Naghavi-Nozad, Maryam Amir Haeri, Gianluigi Folino:
SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets. CoRR abs/2006.07616 (2020) - [i2]Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele:
Using Deep Learning and Data Integration for Accurate Rainfall Estimates. ERCIM News 2020(122) (2020)
2010 – 2019
- 2019
- [j23]Gianluigi Folino, Massimo Guarascio, Giuseppe Papuzzo:
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts. Appl. Soft Comput. 75: 284-297 (2019) - [c61]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri:
Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. GECCO (Companion) 2019: 167-168 - [c60]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. ICTAI 2019: 1396-1400 - [c59]Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele:
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources. IJCNN 2019: 1-8 - [c58]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri:
A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning. NUMTA(1) 2019: 269-277 - [r2]Gianluigi Folino, Massimo Guarascio, Maryam Amir Haeri:
Deep Learning on Big Data. Encyclopedia of Big Data Technologies 2019 - 2018
- [j22]Gianluigi Folino, Giuseppe A. Trunfio:
Special issue on evolutionary multi-objective optimization and applications in big data. Appl. Soft Comput. 69: 816-817 (2018) - [c57]Francesco Folino, Gianluigi Folino, Luigi Pontieri:
An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances. HPCS 2018: 122-129 - 2017
- [j21]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, Gianluigi Folino:
Statistical genetic programming for symbolic regression. Appl. Soft Comput. 60: 447-469 (2017) - [c56]Francesco Folino, Gianluigi Folino, Luigi Pontieri, Pietro Sabatino:
A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data. HPCS 2017: 769-776 - [c55]Gianluigi Folino, Francesco Sergio Pisani:
A Software Architecture for Classifying Users in E-payment Systems. ITASEC 2017: 76-85 - [c54]Andrea Giordano, Alessio De Rango, Davide Spataro, Donato D'Ambrosio, Carlo Mastroianni, Gianluigi Folino, William Spataro:
Parallel Execution of Cellular Automata through Space Partitioning: The Landslide Simulation Sciddicas3-Hex Case Study. PDP 2017: 505-510 - 2016
- [j20]Gianluigi Folino, Francesco Sergio Pisani:
Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain. Appl. Soft Comput. 47: 179-190 (2016) - [j19]Gianluigi Folino, Pietro Sabatino:
Ensemble based collaborative and distributed intrusion detection systems: A survey. J. Netw. Comput. Appl. 66: 1-16 (2016) - [c53]Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino:
A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers. EvoApplications (1) 2016: 315-331 - [c52]Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino:
An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets. GECCO (Companion) 2016: 1103-1110 - [c51]Alfredo Cuzzocrea, Gianluigi Folino, Pietro Sabatino:
Adaptive Intrusion Detection in Distributed Environments: An Ensemble-Based Approach. SEBD 2016: 230-237 - 2015
- [j18]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, Gianluigi Folino:
Improving GP generalization: a variance-based layered learning approach. Genet. Program. Evolvable Mach. 16(1): 27-55 (2015) - [c50]Alfredo Cuzzocrea, Gianluigi Folino, Pietro Sabatino:
A distributed framework for supporting adaptive ensemble-based intrusion detection. IEEE BigData 2015: 1910-1916 - [c49]Gianluigi Folino, Francesco Sergio Pisani:
Combining Ensemble of Classifiers by Using Genetic Programming for Cyber Security Applications. EvoApplications 2015: 54-66 - [c48]Franco Cicirelli, Gianluigi Folino, Agostino Forestiero, Andrea Giordano, Carlo Mastroianni, Giandomenico Spezzano:
Strategies for Parallelizing Swarm Intelligence Algorithms. PDP 2015: 329-336 - 2014
- [j17]Gianluigi Folino, Francesco Sergio Pisani:
Automatic offloading of mobile applications into the cloud by means of genetic programming. Appl. Soft Comput. 25: 253-265 (2014) - [j16]Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
Using Bayesian networks for selecting classifiers in GP ensembles. Inf. Sci. 258: 200-216 (2014) - [c47]Gianluigi Folino, Francesco Sergio Pisani:
Modeling the Offloading of Different Types of Mobile Applications by Using Evolutionary Algorithms. EvoApplications 2014: 86-97 - [c46]Gianluigi Folino, Francesco Sergio Pisani, Paolo Trunfio:
Efficient discovery of data mining services over DHT-based overlays. HPCS 2014: 484-490 - 2013
- [j15]Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim:
Preface: nature inspired solutions for high performance computing. Nat. Comput. 12(1): 27-28 (2013) - [c45]Gianluigi Folino, Francesco Sergio Pisani:
A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming. EvoApplications 2013: 62-71 - [i1]Gianluigi Folino, Francesco Sergio Pisani:
Automatic Offloading of Mobile Applications Using Evolutionary Algorithms. ERCIM News 2013(93) (2013) - 2012
- [c44]Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
Pruning GP-Based Classifier Ensembles by Bayesian Networks. PPSN (1) 2012: 236-245 - 2011
- [j14]Fabio Gori, Gianluigi Folino, Mike S. M. Jetten, Elena Marchiori:
MTR: taxonomic annotation of short metagenomic reads using clustering at multiple taxonomic ranks. Bioinform. 27(2): 196-203 (2011) - [j13]Gianluigi Folino, Carlo Mastroianni:
Special Issue: Bio-Inspired Optimization Techniques for High Performance Computing. New Gener. Comput. 29(2): 125-128 (2011) - [c43]Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
Using bayesian networks for selecting classifiers in GP ensembles. GECCO (Companion) 2011: 173-174 - [c42]Claudio De Stefano, Francesco Fontanella, Gianluigi Folino, Alessandra Scotto di Freca:
A Bayesian Approach for Combining Ensembles of GP Classifiers. MCS 2011: 26-35 - [e3]Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim, Junichi Suzuki:
Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, BADS '11, Karlsruhe, Germany, June 14, 2011. ACM 2011, ISBN 978-1-4503-0733-8 [contents] - 2010
- [j12]Gianluigi Folino, Agostino Forestiero, Giuseppe Papuzzo, Giandomenico Spezzano:
A grid portal for solving geoscience problems using distributed knowledge discovery services. Future Gener. Comput. Syst. 26(1): 87-96 (2010) - [j11]Gianluigi Folino, Carlo Mastroianni:
Special section: Bio-inspired algorithms for distributed systems. Future Gener. Comput. Syst. 26(6): 835-837 (2010) - [j10]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
An ensemble-based evolutionary framework for coping with distributed intrusion detection. Genet. Program. Evolvable Mach. 11(2): 131-146 (2010) - [c41]Gianluigi Folino, Giuseppe Papuzzo:
Handling Different Categories of Concept Drifts in Data Streams Using Distributed GP. EuroGP 2010: 74-85 - [c40]Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogor:
On the Scalability of Multi-Criteria Protein Structure Comparison in the Grid. Euro-Par Workshops 2010: 193-200 - [c39]Gianluigi Folino, Agostino Forestiero:
Using Entropy for Evaluating Swarm Intelligence Algorithms. NICSO 2010: 331-343 - [e2]Gianluigi Folino, Paraskevi Fragopoulou, Carlo Mastroianni, Junichi Suzuki:
Proceedings of the 2nd Workshop on Bio-Inspired Algorithms for Distributed Systems, BADS '10, Washington, DC, USA, June 11, 2010. ACM 2010, ISBN 978-1-4503-0086-5 [contents]
2000 – 2009
- 2009
- [j9]Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano:
An adaptive flocking algorithm for performing approximate clustering. Inf. Sci. 179(18): 3059-3078 (2009) - [c38]Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogor:
On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid. CBMS 2009: 1-8 - [c37]Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, Elena Marchiori:
Clustering Metagenome Short Reads Using Weighted Proteins. EvoBIO 2009: 152-163 - [c36]Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, Elena Marchiori:
Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data. PRIB 2009: 102-112 - [e1]Gianluigi Folino, Natalio Krasnogor, Carlo Mastroianni, Franco Zambonelli:
Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems, BADS@ICAC 2009, Barcelona, Spain, June 19, 2009. ACM 2009, ISBN 978-1-60558-584-0 [contents] - 2008
- [j8]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Training Distributed GP Ensemble With a Selective Algorithm Based on Clustering and Pruning for Pattern Classification. IEEE Trans. Evol. Comput. 12(4): 458-468 (2008) - [c35]Fabrizio Angiulli, Gianluigi Folino:
A grid-based architecture for nearest neighbor based condensation of huge datasets. UPGRADE-CN 2008: 13-20 - [c34]Azhar Ali Shah, Daniel Barthel, Gianluigi Folino, Natalio Krasnogor:
Performance Evaluation of Protein Structure Comparison Algorithms Under Integrated Resource Management Environment for MPI Jobs. ISPA 2008: 817-822 - 2007
- [j7]Gianluigi Folino, Giandomenico Spezzano:
An autonomic tool for building self-organizing Grid-enabled applications. Future Gener. Comput. Syst. 23(5): 671-679 (2007) - [j6]Fabrizio Angiulli, Gianluigi Folino:
Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets. IEEE Trans. Knowl. Data Eng. 19(12): 1593-1606 (2007) - [c33]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles. EuroGP 2007: 160-169 - [c32]Fabrizio Angiulli, Gianluigi Folino:
Efficient Distributed Data Condensation for Nearest Neighbor Classification. Euro-Par 2007: 338-347 - [c31]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension. GECCO 2007: 1751 - [c30]Gianluigi Folino, Agostino Forestiero, Giuseppe Papuzzo, Giandomenico Spezzano:
Content-based mining for solving geoprocessing problems on grids. UPGRADE-CN 2007: 65-72 - [c29]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams. ICTAI (2) 2007: 183-188 - 2006
- [j5]Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano:
A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming. J. Softw. 1(2): 12-23 (2006) - [j4]Gianluigi Folino, Giuseppe Mendicino, Alfonso Senatore, Giandomenico Spezzano, Salvatore Straface:
A model based on cellular automata for the parallel simulation of 3D unsaturated flow. Parallel Comput. 32(5-6): 357-376 (2006) - [j3]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
GP ensembles for large-scale data classification. IEEE Trans. Evol. Comput. 10(5): 604-616 (2006) - [c28]Gianluigi Folino, Giandomenico Spezzano:
P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems. EuroGP 2006: 341-350 - [c27]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Improving cooperative GP ensemble with clustering and pruning for pattern classification. GECCO 2006: 791-798 - [c26]Antonio Augimeri, Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano:
A multidimensional flocking algorithm for clustering spatial data. WOA 2006 - 2005
- [c25]Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano:
Swarm-Based Distributed Clustering in Peer-to-Peer Systems. Artificial Evolution 2005: 37-48 - [c24]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
GP Ensemble for Distributed Intrusion Detection Systems. ICAPR (1) 2005: 54-62 - [c23]Gianluigi Folino, Giandomenico Spezzano:
An Autonomic Middleware for Grid-Enabled Self-Organizing Applications. Parallel and Distributed Computing and Networks 2005: 258-263 - [c22]Gianluigi Folino, Giandomenico Spezzano:
CAMELotGrid: A Grid-based PSE for Autonomic Cellular Applications. PDP 2005: 206-212 - [r1]Gianluigi Folino, Giandomenico Spezzano, Agostino Forestiero:
Swarming Agents for Decentralized Clustering in Spatial Data. Handbook of Bioinspired Algorithms and Applications 2005 - 2004
- [c21]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Boosting Technique for Combining Cellular GP Classifiers. EuroGP 2004: 47-56 - [c20]Mario Cannataro, Carmela Comito, Antonio Congiusta, Gianluigi Folino, Carlo Mastroianni, Andrea Pugliese, Giandomenico Spezzano, Domenico Talia, Pierangelo Veltri:
A General Architecture for Grid-Based PSE Toolkits. PARA 2004: 656-664 - 2003
- [j2]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
A scalable cellular implementation of parallel genetic programming. IEEE Trans. Evol. Comput. 7(1): 37-53 (2003) - [c19]Gianluigi Folino, Giandomenico Spezzano:
SPARROW: A Spatial Clustering Algorithm using Swarm Intelligence. Applied Informatics 2003: 50-55 - [c18]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, Marco Tomassini:
Diversity analysis in cellular and multipopulation genetic programming. IEEE Congress on Evolutionary Computation 2003: 305-311 - [c17]Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano:
Discovering Clusters in Spatial Data Using Swarm Intelligence. ECAL 2003: 598-605 - [c16]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Ensemble Techniques for Parallel Genetic Programming Based Classifiers. EuroGP 2003: 59-69 - [c15]Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano:
Swarming Agents for Discovering Clusters in Spatial Data. ISPDC 2003: 72-79 - 2002
- [c14]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Improving Induction Decision Trees with Parallel Genetic Programming. PDP 2002: 181-18 - [c13]Gianluigi Folino, Giandomenico Spezzano:
An Adaptive Flocking Algorithm for Spatial Clustering. PPSN 2002: 924-933 - 2001
- [j1]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Parallel hybrid method for SAT that couples genetic algorithms and local search. IEEE Trans. Evol. Comput. 5(4): 323-334 (2001) - [c12]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
CAGE: A Tool for Parallel Genetic Programming Applications. EuroGP 2001: 64-73 - [c11]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Parallel Genetic Programming for Decision Tree Induction. ICTAI 2001: 129-135 - [c10]Gianluigi Folino, Giandomenico Spezzano:
Predictability of Cellular Programs Implemented with CAMELot. PDP 2001: 468-474 - 2000
- [c9]Gianluigi Folino, Giandomenico Spezzano:
Scalability Analysis and Performance Prediction for Cellular Programs on Parallel Computers. ACRI 2000: 37-46 - [c8]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees. EuroGP 2000: 294-303 - [c7]Gianluigi Folino, Giandomenico Spezzano:
CELLAR: a high level cellular programming language with regions. PDP 2000: 259-266
1990 – 1999
- 1999
- [c6]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
A Cellular Genetic Programming Approach to Classification. GECCO 1999: 1015-1020 - [c5]Gianluigi Folino, Giandomenico Spezzano:
A cellular environment for steering high performance scientific applications. PARCO 1999: 493-500 - 1998
- [c4]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Solving the Satisfiability Problem by a Parallel Celluar Genetic Algorithm. EUROMICRO 1998: 20715- - [c3]Gianluigi Folino, Giandomenico Spezzano, Domenico Talia:
Performance Evaluation and Modeling of MPI Communications on the Meiko CS-2. HPCN Europe 1998: 932-936 - [c2]Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Combining cellular genetic algorithms and local search for solving satisfiability problems. ICTAI 1998: 192-198 - [c1]Gianluigi Folino, Giandomenico Spezzano, Domenico Talia:
Evaluating and Modeling Communication Overhead of MPI Primitives on the Meiko CS-2. PVM/MPI 1998: 27-35
Coauthor Index
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