PAPERS

Clara Pizzuti, Annalisa Socievole " Multiobjective Optimization and Local Merge for Clustering Attributed Graphs", IEEE Transactions on Cybernetics, online January 2019, DOI: 10.1109/TCYB.2018.2889413

Ermelinda Oro, Clara Pizzuti, Nicola Procopio, Massimo Ruffolo " Detecting Topic Authoritative Social Media Users: a Multilayer Network Approach", IEEE Transactions on Multimedia, online 9 Ottobre 2017, DOI: 10.1109/TMM.2017.2763324

Clara Pizzuti " Evolutionary Computation for Community Detection in Networks: a Review", IEEE Transactions on Evolutionary Computation, online 8 Agosto 2017, DOI: 10.1109/TEVC.2017.2737600

Alessia Amelio, Clara Pizzuti " Correction for Closeness: Adjusting Normalized Mutual Information Measure for Clustering Comparison", Computational Intelligence Journal, Vol. 33, N. 3, pp. 579-601, online 29 Settembre 2016, DOI:10.1111/coin.12100.

Alessia Amelio, Clara Pizzuti " Evolutionary Clustering for Mining and Tracking Dynamic Multilayer Networks", Computational Intelligence Journal, Vol. 33, No. 2, pp. 181-209, online 19 Gennaio 2016, DOI:10.1111/coin.1274.

Alessia Amelio, Clara Pizzuti " An Evolutionary and Local Refinement Approach for Community Detection in Signed Networks", International Journal on Artificial Intelligence Tools, 25(4): 1-44 (2016), DOI: 10.1142/S0218213016500214

Alessia Amelio, Clara Pizzuti " A patch-based measure for image dissimilarity", Neurocomputing,vol. 171, pp. 362-378, 2016 doi:10.1016/jneucom.2015.06.044.

Francesco Folino, Clara Pizzuti " A Recommendation Engine for Disease Prediction", Information Systems and e-Business Management Journal, DOI:10.1007/s10257-014-0242-7, Vol. 13, No. 4, pp. 609-628, November 2015.

Clara Pizzuti, Simona Rombo " An evolutionary restricted neighborhood search clustering approach for PPI networks", Neurocomputing , Volume 145, pp. 53-61, 2014.

Clara Pizzuti, Simona Rombo " Algorithms and tools for protein-protein interaction networks clustering, with a special focus on population-based stochastic methods", Bioinformatics , 30(10) pp. 1343-1352, 2014.

Francesco Folino, Clara Pizzuti, " An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks", IEEE Transactions on Knowledge and Data Engineering , 26(8), pp. 1838-1852, 2014.

Alessia Amelio, Clara Pizzuti, " An Evolutionary Approach for Image Segmentation", Evolutionary Computation Journal, Vol. 22, N.4, pp. 559-594, Winter 2014.

Clara Pizzuti, " Mesoscopic Analysis of Networks with Genetic Algorithm ", World Wide Web Journal, 16(5-6), pp. 545-565, 2013.

Agostino Forestiero, Clara Pizzuti, Giandomenico Spezzano, " A Single Pass Algorithm for Clustering Evolving Data Streams based on Swarm Intelligence", Data Mining and Knowledgw Discovery Journal , Vol. 26, Issue 1, pp. 1-26, 2013.

Alessia Amelio, Clara Pizzuti, " Community Mining in Signed Networks: A Multiobjective Approach", Proc. of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), 25-28 August 2013, Niagara Falls, Canada.

Alessia Amelio, Clara Pizzuti, " Average Common Submatrix: A New Image Distance Measure", 17th international Conference on Image Analysis and Processing, ICIAP, Naples, Italy, September 9-13, 2013, Alfredo Petrosino (Ed.), Lecture Notes in Computer Science ISBN 978-3-642-41180-9, Springer, Caianello Best young paper award.

Alessia Amelio, Clara Pizzuti, " Skin lesion image segmentation using a color genetic algorithm", Genetic and Evolutionary Computation Conference, GECCO '13, Amsterdam, The Netherlands, July 6-10, 2013, Companion Material Proceedings. ACM 2013 ISBN 978-1-4503-1964-5GECCO (Companion) 2013: pp. 1471-1478.

Clara Pizzuti, Simona E. Rombo, "Restricted Neighborhood Search Clustering Revisited: An Evolutionary Computation Perspective", Proc. of 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2013, Nice, France, June 17-20, 2013. Springer 2013 Lecture Notes in Computer Science ISBN 978-3-642-39158, pp. 59-68.

Alessia Amelio, Clara Pizzuti, " A Genetic Algorithm for Color Image Segmentation", Proc. of 16th European Conference of Applications of Evolutionary Computation, EvoApplications 2013, Vienna, Austria, April 3-5, 2013. Lecture Notes in Computer Science ISBN 978-3-642-37191-2, pp. 314-323, Springer.

Clara Pizzuti, " A Multiobjective Genetic Algorithm to Find Communities in Complex Networks", IEEE Transactions on Evolutionay Computation, vol 16, Issue 3, pp. 418-430, 2012.

Clara Pizzuti, Simona Rombo, " A co-clustering approach for mining large protein-protein interaction networks", IEEE/ACM Transactions on Computational Biology and Bioinformatics , Vol 9, Issue 3, pp. 717-730, 2012.

Alessia Amelio, Clara Pizzuti, " An Evolutionary and Graph-Based Method for Image Segmentation", Proc. of the International Conference Parallel Problem Solving from Nature (PPSN 2012) , pp. 143-152, Taormina, Italy, September 1-5, Lecture Notes in Computer Science 7491, Springer 2012.

Alessia Amelio, Clara Pizzuti, "Analyzing Voting Behavior in Italian Parliament: Group Cohesion and Evolution", Proc. of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), pp. 140-146, Istanbul, August 25-29, Turkey.

Francesco Folino, Clara Pizzuti, " Link Prediction Approaches for Disease Networks", Proc. of the International Conference on Information Technology in Bio- and Medical Informatics (ITBAM 2012), pp. 99-108, September 5-7 2012, Vienna, Austria.

Clara Pizzuti, Simona E. Rombo, "Experimental Evaluation of Topological-based Fitness Functions to Detect Complexes in PPI Networks", Proc. of the Genetic and Evolutionary Computation Conference GECCO 2012, pp. 193-200, July 7-11, 2012, Philadelphia, Pennsylvania, USA.

Clara Pizzuti, Simona E. Rombo, Elena Marchiori, " Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners", Proc. of the 10th European Conference Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics EvoBio 2012, Malaga, pp. 211-223, Spain, April 11-13, 2012, LNCS 7246 Springer.

Clara Pizzuti, " Boosting the Detection of Modular Community Structure with Genetic Algorithms and Local Search", Proc. of the 27th Symposium on Applied Computing (SAC 2012), pp. 226-231, March 26-30 2012, Riva del Garda, Trento, Italy.

Francesco Folino, Clara Pizzuti, " Combining Markov Models and Association Analysis for Disease Prediction ", Proc. of the International Conference on Information Technology in Bio- and Medical Informatics (ITBAM 2011), pp. 39-52, August 29- September 2, 2011, Toulouse, France.

G. Folino, Clara Pizzuti, G. Spezzano, " An ensemble-based evolutionary framework for coping with distributed intrusion detection", Genetic Programming and Evolvable Machines, Vol. 11, Issue 2, pp. 131-146, June 2010.

F. Folino, C. Pizzuti, " A Comorbidity-based Recommendation Engine for Disease Prediction", Proc. of Int. Conf. on Computer Based Medical Sysytems, CBMS 2010, October 12-15, Pert, Australia.

F. Folino, C. Pizzuti, Maria Ventura, " A Comorbidity Network Approach to Predict Disease Risk", Proc. of the International Conference on Information Technology in Bio- and Medical Informatics (ITBAM 2010), pp. 102 - 109, 30 August -3 September, 2010, Bilbao, Spain.

F. Folino, C. Pizzuti, " A Multiobjective and Evolutionary Clustering Method for Dynamic Networks", Proc. of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010), pp. 256-263, Odense, August 9-11, Denmark.

F. Folino, C. Pizzuti, " Multiobjective Evolutionary Community Detection for Dynamic Networks", Proc. of the Genetic and Evolutionary Computation Conference GECCO 2010, pp. 535-536, July 7-11, 2010, Portland, Oregon, USA.

C. Pizzuti, S. Rombo, " Discovering Protein Complexes in Protein Interaction Networks", in Biological Data Mining in Protein Interaction Networks, pp. 144-168, Xiao-Li Li & See-Kiong NG eds., Medical Information Science Reference, IGI-GLOBAL, ISBN 978-160566398-2, 2009.

C. Pizzuti, " A Multi-Objective Genetic Algorithm for Community Detection in Network", Proc. Of the 21th International Conference on Tools with Artificial Intelligence ICTAI 2009, pp. 379-386, November 2-5, 2009, Newark, New Jersey, USA.

A. Forestiero, C. Pizzuti, G. Spezzano, " FlockStream: a Bio-inspired Algorithm for Clustering Evolving Data Streams", Proc. Of the 21th International Conference on Tools with Artificial Intelligence ICTAI 2009, pp. 1-8, November 2-5, 2009, Newark, New Jersey, USA.

C. Pizzuti, " Overlapped Community Detection in Complex Network", Proc. of the Genetic and Evolutionary Computation Conference GECCO 2009, pp. 859-866, July 8-12, 2009, Montreal, Québec, Canada.

C. Pizzuti, " GA-NET: a Genetic Algorithm for Community Detection in Social Networks", Proc. of the 10th Intenational Conference on Parallel Problem Solving from Nature PPSN 2008, September 13-17, Dortmund, Germany, pp. 1081-1090, LNCS 5189, Springer Verlag.

C. Pizzuti, " Community Detection in Social Networks with Genetic Algorithms", Proc. of the Genetic and Evolutionary Computation Conference GECCO’08, pp. 1137-1138, July 12-16, 2008, Atlanta, Georgia, USA.

C. Pizzuti, S. Rombo, " Multi-functional Protein Clustering in PPI Networks", Proc. of the 2nd International Conference on Bioinformatics Research and Development BIRD’08, pp. 318-330, July 7-9, 2008, Vienna, Austria.

C. Pizzuti, S. Rombo, " Discovering meaningful protein-protein interaction modules by a co-clustering based approach", Proc. of the Sixteenth Italian Symposium on Advanced Database Systems, June 16-19, 2008, pp. , Mondello (PA), Italy.

Folino G., Pizzuti C., Spezzano, G., "Training Distributed GP Ensemble with a Selective Algorithm based on Clustering and Pruning for Pattern Classification ", IEEE Transactions on Evolutionary Computation, Vol. 12, Issue 4, pp. 458-468, August 2008.

F. Angiulli, E. Cesario, C. Pizzuti, " Random Walk Biclustering for Microarray data", Information Sciences, Vol. 178, Issue:6, pp. 1479-1497, March 15, 2008.

C. Pizzuti, S. Rombo, " PINCoC: a Co-Clustering based Approach to Analyze Protein-Protein Interaction Networks", Proc. of the 8th International Conference on Intelligent Data Engineering and Automated Learning IDEAL’07, December 16-19, 2007, Birmingham, UK.

G. Folino, C. Pizzuti, G. Spezzano, " An Adaptive Distributed Ensemble Approach to Mine Concept-drifting Data Streams", Proc. Of the 19th International Conference on Tools with Artificial Intelligence ICTAI’07, October 29-31, 2007, Patras, Greece.

G. Folino, C. Pizzuti, G. Spezzano, " Improving Cooperative GP Ensemble with Clustering and Pruning for Pattern Classification”, Proc. Of the Genetic and Evolutionary Computation Conference GECCO’07, July 7-11, 2007, London, UK.

G. Folino, C. Pizzuti, G. Spezzano, " Mining Distributed Evolving Data Streams using Fractal GP Ensembles”, Proc. of the 10th European Conference on Genetic Programming, EUROGP07, April 11-13,2007, Valencia, Spain, pp. 160-169, LNCS vol. 4445, Springer Verlag.

Folino G., Pizzuti C., Spezzano, G.,  “GP Ensembles for Large Scale Data Classification”, IEEE Transactions on Evolutionary Computation, vol. 10, No. 5, pp. 604- 616,October 2006.

F. Angiulli, E. Cesario, C. Pizzuti, "A Greedy Search Approach to Co-clustering Sparse Binary Matrices. In Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), Washington D.C., November 13-15, 2006.

Folino G., Pizzuti C., Spezzano G., "Improving Cooperative GP Ensemble with Clustering and Pruning for Pattern Classification",Proc. Of the Genetic and Evolutionary Computation Conference, GECCO'06 , Seattle, WA, USA, July 8-12, 2006.

F. Angiulli, S. Basta, C. Pizzuti, “Distance-Based Detection and Prediction of Outliers”, IEEE Transactions on Knowledge and Data Engineering, vol. 18, No. 2, pp. 145-160, February 2006.

G. Folino, C. Pizzuti, G. Spezzano, “An Evolutionary Ensemble Approach  for Distributed Intrusion Detection”, International Conference on Artificial Evolution, EA2005, October 26-28,University of Lille, France.

F. Angiulli, C. Pizzuti, “Gene Expression Biclustering using Random Walk Strategies”, 7th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2005, August 22-26, pp. 509 - 519, Copenhagen, Denmark, LNCS vol. 3589, Springer.

Folino G., Pizzuti C., Spezzano G., “GP Ensemble for Distributed Intrusion Detection Systems” , International Conference on Advances in Pattern Recognition, ICAPR05, August 22-25, 2005, Bath, UK.

F. Angiulli, C. Pizzuti, “An Approximate Algorithm for Top-k Closest Pairs Join Query in Large High Dimensional Data” , Data & Knowledge Engineering, vol. 53, pp. 263-281, June 2005.

F. Angiulli, C. Pizzuti, “Approximate k-Closest-Pairs in Large High-Dimensional Data Sets” , Journal of Mathematical Modeling and Applications, Volume 4, Number 2, 149 - 179 , June 2005.

F. Angiulli, S. Basta, C. Pizzuti, “Detection and Prediction of Distance-Based Outliers”, 20th Annual ACM Symposium on Applied Computing, Santa Fe, New Mexico, March 13 -17, 2005, pp. 537-542.

F. Angiulli, C. Pizzuti, “Outlier Mining in Large High-Dimensional Data Sets”, IEEE Transaction on Knowledge and Data Engineering, vol. 17 No. 2, pp. 203-215, February 2005.

F. Angiulli, S. Basta, C. Pizzuti, “Improving Prediction of Distance-Based Outliers” , 7th International Conference on Discovery Science, DS’04, Padova, Italy, 5-7 October 2004, LNCS, Springer Verlag.

F. Angiulli, C. Pizzuti, M. Ruffolo, “Descry: a Density Based Clustering Algorithm for Very Large Data Sets”, Fifth International Conference on Intelligent Data Engineering and Automated Learning, IDEAL’04 , Exeter, UK, 25-27 August 2004, pp. 203-210, LNCS vol. 3177, Springer Verlag.

F. Angiulli, C. Pizzuti, Top-k Closest Pairs Join Query: An Approximate Algorithm for Large High Dimensional Data”, 8th International Database Engineering Applications Symposium, IDEAS’04 , Coimbra, 7-9 July 2004, Portugal, pp. 103-110, IEEE Computer Society.

G. Manco, C. Pizzuti, D. Talia,  "Eureka!: An Interactive and Visual Knowledge Discovery Tool", Journal of Visual Languages and Computing, Elsevier, vol. 15, no.1, pp. 1-35, 2004.

G. Folino, C. Pizzuti, G. Spezzano, L. Vanneschi, M. Tomassini ” Diversity Analysis in Cellular and Multipopulation Genetic Programming”, Proc. of the Congress on Evolutionary Computation (CEC03), December 8-12 2003, Canberra, Australia.

Folino G., Pizzuti C., Spezzano G., ” Ensemble Techniques for Parallel Genetic Programming based Classifiers”, Proc. of the 6th European Conference on Genetic Programming (EUROGP03), April 14-16 2003, Essex, UK.

Folino G., Pizzuti C., Spezzano G., ”A Scalable Cellular Implementation of Parallel Genetic Programming”, IEEE Transaction on Evolutionary Computation, vol. 7, No. 1, pp. 37-53, February 2003.

C. Pizzuti, D. Talia, “P-AutoClass: Scalable Parallel Clustering for Mining Large Data Sets”, IEEE Transaction on Knowledge and Data Engineering, vol 15, No 3, pp. 629-641.

E. Kvasov, C. Pizzuti, Y. Sergeyev, “Local Tuning and partition strategies for diagonal GO methods, Numerische Mathematik, 94, 1 (2003), 93-106.

G. Manco, C. Pizzuti, D. Talia, “Eureka!: A Tool for Interactive Knowledge Discovery”,International Conference on Database and Expert Systems Applications, pp. 381-391, September 2-6 2002, Aix-en-Provence, France.

F. Angiulli, C. Pizzuti, “Approximate k-Closest-Pairs with Space Filling Curves”,4th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2002 , pp. 124-134, September 4-6 2002, Aix-en-Provence, France.

Angiulli, C. Pizzuti, “Fast outliers detection in High Dimensional Spaces”, 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), pp. 15-26, August 19-23, 2002, Helsinki, Finland.

A. Molinaro, C. Pizzuti,Y. Sergeyev, “A Diagonal global optimization method”, Combinatorial and Global Optimization , pp. 251-263, P.M. Pardalos, A. Migdalas and R. Burkard, Editors, World Scientific Publishing Co. 2002.

Folino G., Pizzuti C., Spezzano G., "Improving Induction Decision Trees with Parallel Genetic Programming", Proc. of the 10^th Workshop on Parallel, Distributed and Network-based Processing EUROMICRO-PDP’02, pp. 251-263, Genuary 2002, IEEE Computer Society.

Folino G., Pizzuti C., Spezzano G.,"Parallel Genetic Programming for Decision Tree Induction", Proc. 13th IEEE International Conference Tools with Artificial Intelligence, ICTAI'01, IEEE Computer Society, Dallas, Nov. 2001.

E. Maltseva, C. Pizzuti, D. Talia, "Visual Data Mining for Defining Tax-Payer Profiles", International Workshop on Information Retrieval, Oulu, Finland, 19-21 September 2001.

Folino G., Pizzuti C., Spezzano G.,"Parallel Hybrid Method for SAT That Couples Genetic Algorithms and Local Search" , IEEE Transaction on Evolutionary Computation, vol. 5, No 4, August 2001.

Folino G., Pizzuti C., Spezzano G., " CAGE : A Tool for Parallel Genetic Programming Applications", Proc. of the 4th European Conference on Genetic Programming, Como, EUROGP01, 18-20 April 2001.

E. Maltseva, C. Pizzuti, D. Talia, "Mining High-Dimensional Scientific Data Sets Using Singular Value Decomposition", Data Mining for Scientific and Engineering Applications, Kluwer, 2001.

A. Molinaro, C. Pizzuti,Y. Sergeyev, "Acceleration tools for Diagonal Information Global Optimization Algorithms", Journal of Computational Optimization and Applications, 18(1), Kluwer Academic, 2001.

Folino G., Pizzuti C., Spezzano G., "Scalable Classification of Large Data Sets by Parallel Genetic Programming", Austrian-Hungarian Workshop on Distributed and parallel Systems, DAPSYS'2000, Ungheria, 10-13 September 2000.

E. Maltseva, C. Pizzuti, D. Talia, "Undirect Knowledge Discovery by Using Singular Value Decomposition ", Proc. Second International Conference on Data Mining 2000, WIT Press, Cambridge, pp. 505-514, July 2000.

D. Foti, D. Lipari, C. Pizzuti, D. Talia, "Scalable Parallel Clustering for Data Mining on Multicomputers", Proc. of the 3rd Int. Workshop on on High Performance Data Mining HPDM00-IPDPS, LNCS, Springer-Verlag, Cancun, Mexico, May 2000.

G. Folino, C. Pizzuti, G. Spezzano, "Genetic Programming and Simulated Annealing: a Hybrid Method to Evolve Decision Trees", Proc. Of the 3rd European Conference on Genetic Programming, Edinburgh, 15-16 Aprile 2000.

C. Pizzuti and D. Talia, "Knowledge Discovery e Data Mining: Concetti, Algoritmi e Sistemi", Rivista di Informatica, vol. XXIX, no. 1, pp. 31-74, 1999.

C. Pizzuti, D. Talia, G. Vonella, "A Divisive Initialization Method for Clustering Algorithms", Proc. PKDD'99 - Third Europ. Conf. on Principles and Practice of Data Mining and Knowledge Discovery, Lecture Notes in Artificial Intelligence, vol. 1704, Springer-Verlag, pp. 484-491, Prague, Sept. 1999.

L.Palopoli, F. Pirri, C. Pizzuti, " Algorithms for Selective Enumeration of Prime Implicants, Artificial Intelligence, 111(1-2), pp.41-72, July 1999.

Folino G., Pizzuti C., Spezzano G., "A Cellular Genetic Programming Approach to Classification",Proc. Of the Genetic and Evolutionary Computation Conference GECCO99 , Morgan Kaufmann, pp. 1015-1020, Orlando, Florida, July 13-17, 1999.

G. Folino, C. Pizzuti, G. Spezzano, "Combining Cellular Genetic Algorithms and Local Search for Solving Satisfiability problems", Proc. of ICTAI'98 10th IEEE International Conference Tools with Artificial Intelligence, IEEE Computer Society, pp. 192-198 , Taiwan, Nov. 1998.

G. Folino, C. Pizzuti, G. Spezzano, "Solving the Satisfiability Problem by a Parallel Cellular Genetic Algorithm", Proc. of the 24th EUROMICRO Conference, IEEE Computer Society, pp. 715-722, Sweden, August 1998.

C. Pizzuti, G. Spezzano, D.Ursino, "A Cellular Genetic Algorithm for Satisfiability Problems, Int. Symposium on Intelligent Systems (ISIS97) , Reggio Calabria, 1997.

C. Pizzuti, G. Spezzano, "A Cellular Evolutionary Algorithm to Solve Satisfiability Problem, 7th Conference of the Spanish Association for Artificial Intelligence (CAEPIA97), Malaga (Spain), 1997.

L. Palopoli, C. Pizzuti, F. Pirri, An Algorithm for Enumarating Prime Implicants, 7th Conference of the Spanish Association for Artificial Intelligence (CAEPIA97), Malaga (Spain), 1997.

N. Leone, C. Pizzuti, P. Rullo, "Efficient Evaluation of a Class of Ordered Logic Programs", Data and Knowledge Engeneering 23 (1997) 185-214.

C. Pizzuti, "Computing Prime Implicants By Integer Programming", 8th International Conference on Tools with Artificial Intelligence, ICTAI96, Tolosa (Francia), 16-19 November 1996.

B. Errico, F. Pirri, C. Pizzuti, "Finding Prime Implicants by Minimizing Integer Programming Problems", Eight Australian Joint Conference on Artificial Intelligence, Canberra (Australia), 13-17 November 1995.

F. Pirri, C. Pizzuti, "Explaining Incompatibilities in Data Dictionary Design through Abduction ", Data and Knowledge Engeneering 13 (1994) 101-139.

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