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ORCIDGiuseppe Nicosia
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- affiliation: University of Catania, Italy
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2020 – today
- 2024
[j32]Chandresh Pravin
, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Fragility, robustness and antifragility in deep learning. Artif. Intell. 327: 104060 (2024)- [e22]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14505, Springer 2024, ISBN 978-3-031-53968-8 [contents] - [e21]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14506, Springer 2024, ISBN 978-3-031-53965-7 [contents] - [i11]Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Deep Neural Networks via Complex Network Theory: a Perspective. CoRR abs/2404.11172 (2024) - 2023
- [j31]Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia:
Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures. Eng. Appl. Artif. Intell. 117(Part): 105593 (2023) - [c60]Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Atta Badii:
Improved Filter-Based Feature Selection Using Correlation and Clustering Techniques. LOD (1) 2023: 379-389 - [c59]Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Ali Varzandian, Atta Badii:
Sensitivity Analysis for Feature Importance in Predicting Alzheimer's Disease. LOD (2) 2023: 449-465 - [e20]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13810, Springer 2023, ISBN 978-3-031-25598-4 [contents] - [e19]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13811, Springer 2023, ISBN 978-3-031-25890-9 [contents] - [i10]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Fragility, Robustness and Antifragility in Deep Learning. CoRR abs/2312.09821 (2023) - 2022
- [j30]Varun Ojha, Giuseppe Nicosia:
Backpropagation Neural Tree. Neural Networks 149: 66-83 (2022) - [j29]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm Evol. Comput. 74: 101130 (2022) - [j28]Barbara Di Camillo, Giuseppe Nicosia:
Guest Editorial: Deep Learning For Genomics. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 95-96 (2022) - [c58]Matteo N. Amaradio, Giorgio Jansen, Varun Ojha, Jole Costanza, Giuseppe Di Fatta, Giuseppe Nicosia:
Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models. LOD (1) 2022: 596-612 - [e18]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13163, Springer 2022, ISBN 978-3-030-95466-6 [contents] - [e17]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13164, Springer 2022, ISBN 978-3-030-95469-7 [contents] - [i9]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. CoRR abs/2201.12347 (2022) - [i8]Varun Ojha, Giuseppe Nicosia:
Backpropagation Neural Tree. CoRR abs/2202.02248 (2022) - [i7]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies. CoRR abs/2207.04820 (2022) - [i6]Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli, Giuseppe Nicosia, Vito Latora:
Deep Neural Networks as Complex Networks. CoRR abs/2209.05488 (2022) - [i5]Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia:
Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures. CoRR abs/2211.07519 (2022) - 2021
- [c57]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. ICANN (1) 2021: 16-28 - [c56]Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. ICTAI 2021: 344-351 - [c55]Rhian Taylor, Varun Ojha, Ivan Martino, Giuseppe Nicosia:
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence. ICTAI 2021: 512-516 - [c54]Gabriele La Malfa, Emanuele La Malfa, Roman V. Belavkin, Panos M. Pardalos, Giuseppe Nicosia:
Distilling Financial Models by Symbolic Regression. LOD 2021: 502-517 - [c53]Osama Assaf, Giuseppe Di Fatta, Giuseppe Nicosia:
Multivariate LSTM for Stock Market Volatility Prediction. LOD 2021: 531-544 - [i4]Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. CoRR abs/2110.02628 (2021) - 2020
- [j27]Barbara Di Camillo, Giuseppe Nicosia, Francesca Buffa, Benny Lo:
Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities. IEEE J. Biomed. Health Informatics 24(11): 3041-3043 (2020) - [c52]Varun Ojha, Giuseppe Nicosia:
Multi-Objective Optimisation of Multi-Output Neural Trees. CEC 2020: 1-8 - [c51]Salvatore Danilo Riccio, Deyan Dyankov, Giorgio Jansen, Giuseppe Di Fatta, Giuseppe Nicosia:
Pareto Multi-task Deep Learning. ICANN (2) 2020: 132-141 - [e16]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12565, Springer 2020, ISBN 978-3-030-64582-3 [contents] - [e15]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12566, Springer 2020, ISBN 978-3-030-64579-3 [contents] - [i3]Varun Ojha, Giuseppe Nicosia:
Multi-Objective Optimisation of Multi-Output Neural Trees. CoRR abs/2010.04524 (2020)
2010 – 2019
- 2019
- [j26]Andrea Patané, Giorgio Jansen, Piero Conca, Giovanni Carapezza, Jole Costanza, Giuseppe Nicosia:
Multi-objective optimization of genome-scale metabolic models: the case of ethanol production. Ann. Oper. Res. 276(1-2): 211-227 (2019) - [c50]Deyan Dyankov, Salvatore Danilo Riccio, Giuseppe Di Fatta, Giuseppe Nicosia:
Multi-task Learning by Pareto Optimality. LOD 2019: 605-618 - [c49]Alessio Greco, Salvatore Danilo Riccio, Jon Timmis, Giuseppe Nicosia:
Assessing Algorithm Parameter Importance Using Global Sensitivity Analysis. SEA² 2019: 392-407 - [e14]Giacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia:
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019. IEEE 2019, ISBN 978-1-7281-1462-0 [contents] - [e13]Giuseppe Nicosia, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca:
Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11331, Springer 2019, ISBN 978-3-030-13708-3 [contents] - [e12]Giuseppe Nicosia, Panos M. Pardalos, Renato Umeton, Giovanni Giuffrida, Vincenzo Sciacca:
Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11943, Springer 2019, ISBN 978-3-030-37598-0 [contents] - 2018
- [j25]Andrea Patanè, Andrea Santoro, Vittorio Romano, Antonino La Magna, Giuseppe Nicosia:
Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality. J. Glob. Optim. 72(3): 491-515 (2018) - [j24]Jakub Rydzewski, Rafal Jakubowski, Giuseppe Nicosia, Wieslaw Nowak:
Conformational Sampling of a Biomolecular Rugged Energy Landscape. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 732-739 (2018) - [e11]Giuseppe Nicosia, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10710, Springer 2018, ISBN 978-3-319-72925-1 [contents] - 2017
- [j23]Andrea Patanè, Andrea Santoro, Piero Conca, Giovanni Carapezza, Antonino La Magna, Vittorio Romano, Giuseppe Nicosia:
Multi-objective optimization and analysis for the design space exploration of analog circuits and solar cells. Eng. Appl. Artif. Intell. 62: 373-383 (2017) - 2016
- [c48]Andrea Patané, Piero Conca, Giovanni Carapezza, Andrea Santoro, Jole Costanza, Giuseppe Nicosia:
Metabolic Circuit Design Automation by Multi-objective BioCAD. MOD 2016: 30-44 - [e10]Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia:
Machine Learning, Optimization, and Big Data - Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10122, Springer 2016, ISBN 978-3-319-51468-0 [contents] - 2015
- [j22]Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi, Mario Pavone:
Advances in Artificial Life: Synthesis and Simulation of Living Systems: Editorial. Artif. Life 21(4): 395-397 (2015) - [j21]Andrea Patane, Andrea Santoro, Jole Costanza, Giovanni Carapezza, Giuseppe Nicosia:
Pareto Optimal Design for Synthetic Biology. IEEE Trans. Biomed. Circuits Syst. 9(4): 555-571 (2015) - [j20]Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia:
Analysis and design of molecular machines. Theor. Comput. Sci. 599: 102-117 (2015) - [c47]Piero Conca, Giovanni Stracquadanio, Giuseppe Nicosia:
Automatic Tuning of Algorithms Through Sensitivity Minimization. MOD 2015: 14-25 - [c46]Giuseppe Nicosia, Piero Conca:
Characterization of the \#k # k -SAT Problem in Terms of Connected Components. MOD 2015: 257-268 - [c45]Piero Conca, Gilda Currenti, Giovanni Carapezza, Ciro Del Negro, Jole Costanza, Giuseppe Nicosia:
Multi-objective Modeling of Ground Deformation and Gravity Changes of Volcanic Eruptions. MOD 2015: 359-370 - 2014
- [j19]Claudio Angione, Annalisa Occhipinti, Giuseppe Nicosia:
Satisfiability by Maxwell-Boltzmann and Bose-Einstein Statistical Distributions. ACM J. Exp. Algorithmics 19(1) (2014) - [c44]Jole Costanza, Luca Zammataro, Giuseppe Nicosia:
Programming Living Machines: The Case Study of Escherichia Coli. Living Machines 2014: 377-379 - 2013
- [j18]Claudio Angione, Annalisa Occhipinti, Giovanni Stracquadanio, Giuseppe Nicosia:
Bose-Einstein condensation in satisfiability problems. Eur. J. Oper. Res. 227(1): 44-54 (2013) - [j17]Giovanni Stracquadanio, Vittorio Romano, Giuseppe Nicosia:
Semiconductor device design using the BiMADS algorithm. J. Comput. Phys. 242: 304-320 (2013) - [j16]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Design and strain selection criteria for bacterial communication networks. Nano Commun. Networks 4(4): 155-163 (2013) - [j15]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Pareto Optimality in Organelle Energy Metabolism Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 1032-1044 (2013) - [c43]Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia:
Pareto epsilon-dominance and identifiable solutions for BioCAD modeling. DAC 2013: 43:1-43:9 - [c42]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Multi objective design for bacterial communication networks. ICC Workshops 2013: 813-817 - [e9]Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi, Mario Pavone:
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013, Sicily, Italy, September 2-6, 2013. MIT Press 2013, ISBN 9780262317092 [contents] - [e8]Giuseppe Nicosia, Panos M. Pardalos:
Learning and Intelligent Optimization - 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers. Lecture Notes in Computer Science 7997, Springer 2013, ISBN 978-3-642-44972-7 [contents] - [i2]Claudio Angione, Annalisa Occhipinti, Giovanni Stracquadanio, Giuseppe Nicosia:
Bose-Einstein Condensation in Satisfiability Problems. CoRR abs/1304.0810 (2013) - 2012
- [j14]Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia:
Robust design of microbial strains. Bioinform. 28(23): 3097-3104 (2012) - [j13]Renato Umeton, Giuseppe Nicosia, C. Forbes Dewey Jr.:
OREMPdb: a semantic dictionary of computational pathway models. BMC Bioinform. 13(S-4): S6 (2012) - [j12]Mario Pavone, Giuseppe Narzisi, Giuseppe Nicosia:
Clonal selection: an immunological algorithm for global optimization over continuous spaces. J. Glob. Optim. 53(4): 769-808 (2012) - [c41]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Computing with Metabolic Machines. Turing-100 2012: 1-15 - [c40]Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia:
Multi-objective Optimisation, Sensitivity and Robustness Analysis in FBA Modelling. CMSB 2012: 127-147 - [c39]Ivan Martino, Giuseppe Nicosia:
Global Optimization for Algebraic Geometry - Computing Runge-Kutta Methods. LION 2012: 449-454 - [e7]Carlos A. Coello Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone:
Artificial Immune Systems - 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012. Proceedings. Lecture Notes in Computer Science 7597, Springer 2012, ISBN 978-3-642-33756-7 [contents] - [e6]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7491, Springer 2012, ISBN 978-3-642-32936-4 [contents] - [e5]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7492, Springer 2012, ISBN 978-3-642-32963-0 [contents] - [i1]Claudio Angione, Pietro Liò, Giuseppe Nicosia:
How to Compute with Metabolism in Bacteria? ERCIM News 2012(91) (2012) - 2011
- [j11]Giovanni Stracquadanio, Giuseppe Nicosia:
Computational energy-based redesign of robust proteins. Comput. Chem. Eng. 35(3): 464-473 (2011) - [j10]Vincenzo Cutello, Giuseppe Morelli, Giuseppe Nicosia, Mario Pavone, Giuseppe Scollo:
On discrete models and immunological algorithms for protein structure prediction. Nat. Comput. 10(1): 91-102 (2011) - [c38]Renato Umeton, Giovanni Stracquadanio, Anilkumar Sorathiya, Pietro Liò, Alessio Papini, Giuseppe Nicosia:
Design of robust metabolic pathways. DAC 2011: 747-752 - [c37]Davide Agostini, Jole Costanza, Vincenzo Cutello, Luca Zammataro, Natalio Krasnogor, Mario Pavone, Giuseppe Nicosia:
Effective calibration of artificial gene regulatory networks. ECAL 2011: 39-46 - [c36]Giovanni Stracquadanio, Renato Umeton, Jole Costanza, Viviana Annibali, Rosella Mechelli, Mario Pavone, Luca Zammataro, Giuseppe Nicosia:
Large Scale Agent-Based Modeling of the Humoral and Cellular Immune Response. ICARIS 2011: 15-29 - [c35]Giovanni Stracquadanio, Angelo La Ferla, Matteo De Felice, Giuseppe Nicosia:
Design of Robust Space Trajectories. SGAI Conf. 2011: 341-354 - [e4]Pietro Liò, Giuseppe Nicosia, Thomas Stibor:
Artificial Immune Systems - 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings. Lecture Notes in Computer Science 6825, Springer 2011, ISBN 978-3-642-22370-9 [contents] - 2010
- [j9]Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone, David A. Pelta:
Special issue on Nature Inspired Cooperative Strategies for Optimisation (NICSO). Nat. Comput. 9(1): 1-3 (2010) - [c34]Giovanni Stracquadanio, Renato Umeton, Alessio Papini, Pietro Liò, Giuseppe Nicosia:
Analysis and Optimization of C3 Photosynthetic Carbon Metabolism. BIBE 2010: 44-51 - [c33]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Giovanni Stracquadanio:
Entropic divergence for population based optimization algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c32]Giovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia:
Effective design of semiconductor devices using evolutionary-based derivative free optimization. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c31]Giovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia:
Multi-objective optimization of doping profile in semiconductor design. GECCO 2010: 1243-1250 - [c30]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Giovanni Stracquadanio:
An Information-Theoretic Approach for Clonal Selection Algorithms. ICARIS 2010: 144-157 - [c29]Giovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia:
An Immunological Algorithm for Doping Profile Optimization in Semiconductors Design. ICARIS 2010: 213-222
2000 – 2009
- 2009
- [c28]Piero Conca, Giuseppe Nicosia, Giovanni Stracquadanio, Jon Timmis:
Nominal-Yield-Area Tradeoff in Automatic Synthesis of Analog Circuits: A Genetic Programming Approach Using Immune-Inspired Operators. AHS 2009: 399-406 - [c27]Giuseppe Nicosia, Giovanni Stracquadanio:
A Design-for-Yield Algorithm to Assess and Improve the Structural and Energetic Robustness of Proteins and Drugs. SEA 2009: 245-256 - 2008
- [j8]Giuseppe Nicosia, Salvatore Rinaudo, Eva Sciacca:
An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization. Knowl. Based Syst. 21(3): 175-183 (2008) - [c26]Giuseppe Nicosia, Eva Sciacca:
Robust parameter identification for biological circuit calibration. BIBE 2008: 1-6 - [c25]Angelo Ciccazzo, Piero Conca, Giuseppe Nicosia, Giovanni Stracquadanio:
An Advanced Clonal Selection Algorithm with Ad-Hoc Network-Based Hypermutation Operators for Synthesis of Topology and Sizing of Analog Electrical Circuits. ICARIS 2008: 60-70 - [p2]Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicosia:
Computational Studies of Peptide and Protein Structure Prediction Problems via Multiobjective Evolutionary Algorithms. Multiobjective Problem Solving from Nature 2008: 93-114 - [p1]Vitoantonio Bevilacqua, Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Giuseppe Mastronardi, Myriam Regattieri Delgado, Angelo Paradiso, Giuseppe Nicosia, Alex Alves Freitas:
Artificial Immune Systems in Bioinformatics. Computational Intelligence in Biomedicine and Bioinformatics 2008: 271-295 - [e3]Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone, David A. Pelta:
Nature Inspired Cooperative Strategies for Optimization (NICSO 2007). Studies in Computational Intelligence 129, Springer 2008, ISBN 978-3-540-78986-4 [contents] - 2007
- [j7]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone:
An immune algorithm with stochastic aging and kullback entropy for the chromatic number problem. J. Comb. Optim. 14(1): 9-33 (2007) - [j6]Angelo Marcello Anile, Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicosia, Salvatore Spinella:
Determination of protein structure and dynamics combining immune algorithms and pattern search methods. Nat. Comput. 6(1): 55-72 (2007) - [j5]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Jonathan Timmis:
An Immune Algorithm for Protein Structure Prediction on Lattice Models. IEEE Trans. Evol. Comput. 11(1): 101-117 (2007) - [c24]Vincenzo Cutello, Giuseppe Nicosia, Mario Romeo, Pietro S. Oliveto:
On the Convergence of Immune Algorithms. FOCI 2007: 409-415 - [c23]Alexander O. Tarakanov, Giuseppe Nicosia:
Foundations of Immunocomputing. FOCI 2007: 503-508 - [c22]Vincenzo Cutello, Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone:
Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization. ICANNGA (1) 2007: 93-101 - [c21]Mario Castrogiovanni, Giuseppe Nicosia, Rosario Rascunà:
Experimental Analysis of the Aging Operator for Static and Dynamic Optimisation Problems. KES (3) 2007: 804-811 - [c20]Giuseppe Nicosia, Salvatore Rinaudo, Eva Sciacca:
An Evolutionary Algorithm-Based Approach to Robust Analog Circuit Design using Constrained Multi-Objective Optimization. SGAI Conf. 2007: 7-20 - [c19]Giuseppe Nicosia, Giovanni Stracquadanio:
Generalized Pattern Search and Mesh Adaptive Direct Search Algorithms for Protein Structure Prediction. WABI 2007: 183-193 - 2006
- [j4]Vincenzo Cutello, Giuseppe Nicosia, Rosario Rascunà, Salvatore Spinella:
Optimising an inductor circuit and a two-stage operational transconductance amplifier using evolutionary and classical algorithms. Int. J. Comput. Sci. Eng. 2(3/4): 158-169 (2006) - [j3]Tonio Biondi, Angelo Ciccazzo, Vincenzo Cutello, Santo D'Antona, Giuseppe Nicosia, Salvatore Spinella:
Multi-Objective Evolutionary Algorithms and Pattern Search Methods for Circuit Design Problems. J. Univers. Comput. Sci. 12(4): 432-449 (2006) - [c18]Vincenzo Cutello, D. Lee, Giuseppe Nicosia, Mario Pavone, I. Prizzi:
Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators. ICARIS 2006: 321-334 - [c17]