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Myriam Regattieri Delgado
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2020 – today
- 2024
- [j32]Sandra Mara Guse Scós Venske, Carolina Paula de Almeida, Myriam Regattieri Delgado:
Metaheuristics and machine learning: an approach with reinforcement learning assisting neural architecture search. J. Heuristics 30(3-4): 199-224 (2024) - [c69]Renato Sellaro Dorighello, Myriam Regattieri Delgado, Ricardo Lüders, Daniel Fernando Pigatto:
ACO-Pruning for Deep Neural Networks: A Case Study in CNNs. GECCO Companion 2024: 1895-1903 - 2023
- [j31]Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci, Alex Alves Freitas:
Stochastic local search and parameters recommendation: a case study on flowshop problems. Int. Trans. Oper. Res. 30(2): 774-799 (2023) - [j30]Allan Christian Krainski Ferrari, Gideon Villar Leandro, Leandro dos Santos Coelho, Myriam Regattieri de Biase da Silva Delgado:
Rat swarm optimizer adjusted by fuzzy inference system. J. Intell. Fuzzy Syst. 44(3): 3927-3942 (2023) - [j29]Cesar Rafael Lopes, Rodrigo Minetto, Myriam Regattieri Delgado, Thiago H. Silva:
PerceptSent - Exploring Subjectivity in a Novel Dataset for Visual Sentiment Analysis. IEEE Trans. Affect. Comput. 14(3): 1817-1831 (2023) - 2022
- [j28]Helen C. de Mattos Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, Thiago Henrique Silva:
PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User's Profiles. IEEE Access 10: 9257-9270 (2022) - [j27]Sandra M. Venske, Carolina P. de Almeida, Ricardo Lüders, Myriam Regattieri Delgado:
Selection hyper-heuristics for the multi and many-objective quadratic assignment problem. Comput. Oper. Res. 148: 105961 (2022) - [j26]Lucas Skora, Helen C. de Mattos Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, Thiago H. Silva:
Comparing global tourism flows measured by official census and social sensing. Online Soc. Networks Media 29: 100204 (2022) - [c68]Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci:
A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration. BRACIS (1) 2022: 325-339 - [c67]Lucas V. S. De Mamann, Daniel Fernando Pigatto, Myriam Regattieri Delgado:
Offline and Online Neural Network Learning in the Context of Smart Homes and Fog Computing. BRACIS (2) 2022: 357-372 - [c66]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner:
On the fitness landscapes of interdependency models in the travelling thief problem. GECCO Companion 2022: 188-191 - [i5]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam Regattieri Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner:
On the Fitness Landscapes of Interdependency Models in the Travelling Thief Problem. CoRR abs/2203.04363 (2022) - [i4]Lucas Skora, Helen C. de Mattos Senefonte, Myriam R. B. S. Delgado, Ricardo Lüders, Thiago Henrique Silva:
Comparing Global Tourism Flows Measured by Official Census and Social Sensing. CoRR abs/2203.06015 (2022) - 2021
- [j25]Matheus Carvalho de Oliveira, Myriam Regattieri Delgado, André Britto:
A hybrid greedy indicator- and Pareto-based many-objective evolutionary algorithm. Appl. Intell. 51(7): 4330-4352 (2021) - [j24]Marcella S. R. Martins, Mohamed El Yafrani, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Hugo Valadares Siqueira, Huseyin Gokhan Akcay, Belaïd Ahiod:
Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. J. Heuristics 27(4): 549-573 (2021) - [j23]Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Diego Oliva, Markus Wagner, Inkyung Sung, Mohamed El Yafrani:
Saving computational budget in Bayesian network-based evolutionary algorithms. Nat. Comput. 20(4): 775-790 (2021) - [j22]Peter Frank Perroni, Myriam Regattieri Delgado, Daniel Weingaertner:
Treasure Hunt Framework: Distributing Metaheuristics on High Performance Computing Systems. Swarm Evol. Comput. 65: 100906 (2021) - [c65]Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado:
Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems. BRACIS (1) 2021: 155-169 - [c64]Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado:
Local Optima Network Sampling for Permutation Flowshop. CEC 2021: 1131-1138 - [c63]Sandra M. Venske, Carolina P. de Almeida, Myriam Regattieri Delgado:
Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization. CEC 2021: 1921-1928 - [c62]Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado:
Flowshop NEH-Based Heuristic Recommendation. EvoCOP 2021: 136-151 - [c61]Marcella Scoczynski Ribeiro Martins, Diego Oliva, Erick Rodríguez-Esparza, Myriam Regattieri Delgado, Ricardo Lüders, Mohamed El Yafrani, Luiz Ledo, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros:
A selection hyperheuristic guided by Thompson sampling for numerical optimization. GECCO Companion 2021: 1394-1402 - 2020
- [j21]Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske, Ricardo Lüders, Myriam Regattieri Delgado:
Hyper-heuristics using multi-armed bandit models for multi-objective optimization. Appl. Soft Comput. 95: 106520 (2020) - [c60]Marcella S. R. Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders:
Multi-layer local optima networks for the analysis of advanced local search-based algorithms. GECCO 2020: 219-227 - [c59]David Augusto Marcelino Veiga, Gabriel B. Frizzo, Helen C. de Mattos Senefonte, Ricardo Lüders, Myriam Regattieri Delgado, Thiago Henrique Silva:
Influências Regionais na Mobilidade de Turistas e Residentes Usando Dados de Mídia Social. SBRC 2020: 589-602 - [c58]Helen C. de Mattos Senefonte, Gabriel B. Frizzo, Myriam Regattieri de Biase da Silva Delgado, Ricardo Lüders, Daniel Silver, Thiago Henrique Silva:
Regional Influences on Tourists Mobility Through the Lens of Social Sensing. SocInfo 2020: 312-319 - [i3]Marcella Scoczynski Ribeiro Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders:
Multi-layer local optima networks for the analysis of advanced local search-based algorithms. CoRR abs/2004.13936 (2020)
2010 – 2019
- 2019
- [j20]Celia Cristina Bojarczuk Fioravanti, Tania Mezzadri Centeno, Myriam Regattieri de Biase da Silva Delgado:
A Deep Artificial Immune System to Detect Weld Defects in DWDI Radiographic Images of Petroleum Pipes. IEEE Access 7: 180947-180964 (2019) - [c57]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner, Diego Oliva:
On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm. BRACIS 2019: 311-316 - [c56]Helen C. de Mattos Senefonte, Thiago Henrique Silva, Ricardo Lüders, Myriam R. B. S. Delgado:
Classifying Venue Categories of Unlabeled Check-ins Using Mobility Patterns. DCOSS 2019: 562-569 - [c55]Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci:
Meta-learning on flowshop using fitness landscape analysis. GECCO 2019: 925-933 - [i2]Mohamed El Yafrani, Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner:
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. CoRR abs/1902.05946 (2019) - 2018
- [j19]Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida:
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. Appl. Soft Comput. 73: 328-343 (2018) - [j18]Mohamed El Yafrani, Marcella S. R. Martins, Markus Wagner, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders:
A hyperheuristic approach based on low-level heuristics for the travelling thief problem. Genet. Program. Evolvable Mach. 19(1-2): 121-150 (2018) - [j17]Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida:
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. J. Heuristics 24(1): 25-47 (2018) - [c54]Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske, Ricardo Lüders, Myriam Regattieri Delgado:
Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem. BRACIS 2018: 139-144 - [c53]Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado:
Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design. BRACIS 2018: 163-168 - [c52]Luis Guilherme Bergamini Mendes, Ana Cristina B. Kochem Vendramin, Anelise Munaretto, Myriam Regattieri Delgado:
A Rule-Based Greedy Ant (rGrAnt) Protocol for Networking Environments. BRACIS 2018: 486-491 - [c51]Richard A. Gonçalves, Carolina Paula de Almeida, Ricardo Lüders, Myriam Regattieri Delgado:
A New Hyper-Heuristic Based on a Contextual Multi-Armed Bandit for Many-Objective Optimization. CEC 2018: 1-8 - [c50]Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod:
On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. CEC 2018: 1-8 - [c49]Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci:
Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees. CEC 2018: 1-8 - [c48]Lucas Prestes, Myriam Regattieri Delgado, Ricardo Lüders, Richard A. Gonçalves, Carolina P. de Almeida:
Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection. CEC 2018: 1-8 - [c47]Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders:
A fitness landscape analysis of the travelling thief problem. GECCO 2018: 277-284 - [i1]Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod:
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems. CoRR abs/1806.09935 (2018) - 2017
- [j16]Chuan Li, Luiz Ledo, Myriam Regattieri Delgado, Mariela Cerrada, Fannia Pacheco, Diego Cabrera, René-Vinicio Sánchez, José Valente de Oliveira:
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification. Knowl. Based Syst. 129: 39-60 (2017) - [c46]Marcella Scoczynski Ribeiro Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida:
Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. BRACIS 2017: 384-389 - [c45]Richard Aderbal Gonçalves, Carolina Paula de Almeida, Sandra Mara Guse Scós Venske, Myriam Regattieri de Biase da Silva Delgado, Aurora Trinidad Ramirez Pozo:
A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization. BRACIS 2017: 390-395 - [c44]Lucas Prestes, Myriam Regattieri de Biase da Silva Delgado, Richard Aderbal Gonçalves, Carolina Paula de Almeida, Aurora Trinidad Ramirez Pozo:
A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique. BRACIS 2017: 396-401 - [c43]Richard A. Gonçalves, Lucas M. Pavelski, Carolina P. de Almeida, Josiel Neumann Kuk, Sandra M. Venske, Myriam Regattieri Delgado:
Adaptive Operator Selection for Many-Objective Optimization with NSGA-III. EMO 2017: 267-281 - [c42]Peter Frank Perroni, Daniel Weingaertner, Myriam Regattieri Delgado:
Estimating stop conditions of swarm based stochastic metaheuristic algorithms. GECCO 2017: 43-50 - 2016
- [j15]Ana Cristina B. Kochem Vendramin, Anelise Munaretto, Myriam Regattieri Delgado, Mauro Fonseca, Aline Carneiro Viana:
A social-aware routing protocol for opportunistic networks. Expert Syst. Appl. 54: 351-363 (2016) - [j14]Sandra M. Venske, Richard A. Gonçalves, Elaine M. Benelli, Myriam Regattieri Delgado:
ADEMO/D: An adaptive differential evolution for protein structure prediction problem. Expert Syst. Appl. 56: 209-226 (2016) - [j13]Lucas M. Pavelski, Myriam Regattieri Delgado, Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske:
Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition. Neurocomputing 180: 55-67 (2016) - [j12]Marlon De Oliveira Vaz, Tania Mezzadri Centeno, Myriam Regattieri Delgado:
Detecção de Tubos em Imagens Radiográficas Digitais. RITA 23(1): 123-139 (2016) - [c41]Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Roberto Santana, Ricardo Lüders, Richard Aderbal Gonçalves, Carolina Paula de Almeida:
HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. GECCO 2016: 357-364 - 2015
- [j11]Gustavo E. A. P. A. Batista, Myriam Regattieri Delgado, Flávia Cristina Bernardini:
ENIAC 2013 Special Issue. J. Intell. Robotic Syst. 80(Supplement-1): 225-226 (2015) - [c40]Richard A. Gonçalves, Carolina P. de Almeida, Sandra M. Venske, Josiel Neumann Kuk, Lucas M. Pavelski, Myriam Regattieri Delgado:
A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem. BRACIS 2015: 7-12 - [c39]Peter Frank Perroni, Daniel Weingaertner, Myriam Regattieri Delgado:
Automated Iterative Partitioning for Cooperatively Coevolving Particle Swarms in Large Scale Optimization. BRACIS 2015: 19-24 - [c38]Alexandre Szabo, Myriam Regattieri Delgado, Leandro Nunes de Castro:
A Particle Swarm Clustering Algorithm with Fuzzy Weighted Step Sizes. IDEAL 2015: 87-95 - [c37]Jaquinei de Oliveira, Ana Cristina B. Kochem Vendramin, Anelise Munaretto, Myriam Regattieri Delgado:
The DTN Routing Problem: Exploitation versus Exploration of Solutions. VTC Spring 2015: 1-6 - 2014
- [j10]Sandra M. Venske, Richard A. Gonçalves, Myriam Regattieri Delgado:
ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm. Neurocomputing 127: 65-77 (2014) - [c36]Carolina Paula de Almeida, Richard Aderbal Gonçalves, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Myriam Regattieri Delgado:
Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem. BRACIS 2014: 312-317 - [c35]Lucas M. Pavelski, Myriam Regattieri Delgado, Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske:
ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution. BRACIS 2014: 318-323 - 2013
- [j9]Marcella S. R. Martins, Stefan Campana Fuchs, L. U. Pando, Ricardo Lüders, Myriam Regattieri Delgado:
PSO with path relinking for resource allocation using simulation optimization. Comput. Ind. Eng. 65(2): 322-330 (2013) - [c34]Sandra M. Venske, Richard A. Gonçalves, Elaine M. Benelli, Myriam Regattieri Delgado:
A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution. BRACIS 2013: 263-268 - [c33]Richard A. Gonçalves, Carolina P. de Almeida, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Myriam Regattieri Delgado:
Improved Cultural Immune Systems to solve the economic load dispatch problems. IEEE Congress on Evolutionary Computation 2013: 621-628 - 2012
- [j8]Carolina P. de Almeida, Richard A. Gonçalves, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Myriam Regattieri Delgado:
An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem. Ann. Oper. Res. 199(1): 305-341 (2012) - [j7]Ana Cristina B. Kochem Vendramin, Anelise Munaretto, Myriam Regattieri Delgado, Aline Carneiro Viana:
GrAnt: Inferring best forwarders from complex networks' dynamics through a greedy Ant Colony Optimization. Comput. Networks 56(3): 997-1015 (2012) - [c32]Sandra M. Venske, Richard A. Gonçalves, Myriam Regattieri Delgado:
Differential Evolution to Multi-objective Protein Structure Prediction. BIOINFORMATICS 2012: 295-298 - [c31]Marcel Kroetz, Tania Mezzadri Centeno, Myriam Regattieri Delgado, Marcelo Kleber Felisberto, Luís Alberto Lucas, Leyza Baldo Dorini, Vitor Fylyk, Allan Vieira:
Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c30]Alexandre Szabo, Leandro Nunes de Castro, Myriam Regattieri Delgado:
FaiNet: An immune algorithm for fuzzy clustering. FUZZ-IEEE 2012: 1-9 - [c29]Ana Cristina B. Kochem Vendramin, Anelise Munaretto, Myriam Regattieri de Biase da Silva Delgado, Aline Carneiro Viana:
CGrAnt: a swarm intelligence-based routing protocol for delay tolerant networks. GECCO 2012: 33-40 - [c28]Alexandre Szabo, Leandro Nunes de Castro, Myriam Regattieri Delgado:
A Constructive Particle Swarm Algorithm for Fuzzy Clustering. IDEAL 2012: 390-398 - [c27]Leonardo G. de Melo, Luís Alberto Lucas, Myriam Regattieri Delgado:
Rule-Base Design Using Probabilistic Weights: A Preliminary Analysis of Uncertainty Aspects. IPMU (4) 2012: 655-664 - [c26]Jean L. Pierobom, Myriam Regattieri Delgado, Celso A. A. Kaestner:
Particle Swarm Optimization Applied to the Dynamic Allocation Problem. SBRN 2012: 184-189 - [c25]Sandra M. Venske, Richard A. Gonçalves, Myriam Regattieri Delgado:
ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems. SBRN 2012: 226-231 - 2011
- [c24]Ana Cristina B. Kochem Vendramin, Anelise Munaretto, Myriam Regattieri Delgado, Aline Carneiro Viana:
A Greedy Ant Colony Optimization for routing in delay tolerant networks. GLOBECOM Workshops 2011: 1127-1132 - [c23]Alexandre Szabo, Leandro Nunes de Castro, Myriam Regattieri Delgado:
The proposal of a fuzzy clustering algorithm based on particle swarm. NaBIC 2011: 459-465 - 2010
- [c22]Carolina P. de Almeida, Richard A. Gonçalves, Myriam Regattieri Delgado, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
A Transgenetic Algorithm for the bi-objective traveling purchaser problem. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j6]Rúbia E. O. Schultz, Tania Mezzadri Centeno, Gilles Selleron, Myriam Regattieri Delgado:
A soft computing-based approach to spatio-temporal prediction. Int. J. Approx. Reason. 50(1): 3-20 (2009) - [j5]Myriam Regattieri Delgado, Elaine Yassue Nagai, Lúcia Valéria Ramos de Arruda:
A neuro-coevolutionary genetic fuzzy system to design soft sensors. Soft Comput. 13(5): 481-495 (2009) - [c21]Luís A. Lucas, Tania Mezzadri Centeno, Myriam Regattieri Delgado:
Towards Interpretable General Type-2 Fuzzy Classifiers. ISDA 2009: 584-589 - 2008
- [j4]Lúcia V. R. Arruda, M. C. S. Swiech, Myriam Regattieri Delgado, Flávio Neves Jr.:
PID control of MIMO process based on rank niching genetic algorithm. Appl. Intell. 29(3): 290-305 (2008) - [j3]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso:
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. Int. J. Hybrid Intell. Syst. 5(3): 161-165 (2008) - [c20]Richard A. Gonçalves, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Myriam Regattieri Delgado:
Warping search: a new metaheuristic applied to the protein structure prediction. GECCO 2008: 349-350 - [c19]Luís A. Lucas, Tania Mezzadri Centeno, Myriam Regattieri Delgado:
General type-2 fuzzy classifiers to land cover classification. SAC 2008: 1743-1747 - [c18]Roberto Teixeira Alves, Myriam Regattieri Delgado, Alex Alves Freitas:
Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems. BSB 2008: 1-12 - [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 - 2007
- [c17]Carolina P. de Almeida, Richard A. Gonçalves, Myriam Regattieri Delgado:
A Hybrid Immune-Based System for the Protein Folding Problem. EvoCOP 2007: 13-24 - [c16]Luís A. Lucas, Tania Mezzadri Centeno, Myriam Regattieri Delgado:
General Type-2 Fuzzy Inference Systems: Analysis, Design and Computational Aspects. FUZZ-IEEE 2007: 1-6 - [c15]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Giuseppe Mastronardi, Angelo Paradiso, Alex Alves Freitas, Vitoantonio Bevilacqua:
Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. GECCO 2007: 431 - [c14]Richard A. Gonçalves, Carolina P. de Almeida, Myriam Regattieri Delgado, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions. ICARIS 2007: 382-394 - [c13]Carolina P. de Almeida, Richard A. Gonçalves, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Myriam Regattieri Delgado:
TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem. ISDA 2007: 163-168 - [c12]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso:
Fuzzy Rule Induction and Artificial Immune Systems in Female Breast Cancer Familiarity Profiling. KES (3) 2007: 830-837 - 2006
- [c11]Rubia E. de Oliveira Schultz, Tania Mezzadri Centeno, Myriam Regattieri Delgado:
Spatio-Temporal Prediction by Means of a Fuzzy Rule-based Approach. FUZZ-IEEE 2006: 1271-1278 - [c10]Marcos H. Maruo, Myriam Regattieri Delgado:
Co-evolutionary Genetic Fuzzy System: A Self-adapting Approach. FUZZ-IEEE 2006: 1417-1424 - 2005
- [c9]Marcos H. Maruo, Heitor S. Lopes, Myriam Regattieri Delgado:
Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems. EvoCOP 2005: 154-165 - 2004
- [j2]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach. Fuzzy Sets Syst. 141(1): 89-106 (2004) - [c8]Roberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas:
An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. PPSN 2004: 1011-1020 - 2003
- [c7]R. R. Cremonezi, Myriam Regattieri Delgado:
An heuristic-based self-adapting crossover method: additional flexibility in the evolutionary process. IEEE Congress on Evolutionary Computation 2003: 2619-2626 - 2002
- [c6]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Coevolutionary design of Takagi-Sugeno fuzzy systems. IEEE Congress on Evolutionary Computation 2002: 1384-1389 - [c5]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems. FUZZ-IEEE 2002: 1222-1227 - 2001
- [j1]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Hierarchical genetic fuzzy systems. Inf. Sci. 136(1-4): 29-52 (2001) - 2000
- [c4]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach. FUZZ-IEEE 2000: 447-452
1990 – 1999
- 1999
- [c3]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Modular and Hierarchial Evolutionary Design of Fuzzy Systems. GECCO 1999: 180-187 - 1996
- [c2]Âgela V. Dias, Flávio Bortolozzi, Myriam Regattieri Delgado:
Results of the use of Bayesian classifiers for identification of breast cancer cell nuclei. ICPR 1996: 508-512 - 1993
- [c1]Myriam Regattieri Delgado, Fernando José Von Zuben, A. F. Rocha:
Neurofuzzy interpolation. II. Reducing complexity of description. ICNN 1993: 1835-1840
Coauthor Index
aka: Carolina Paula de Almeida
aka: Richard Aderbal Gonçalves
aka: Marcella Scoczynski Ribeiro Martins
aka: Lucas Marcondes Pavelski
aka: Sandra Mara Guse Scós Venske
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
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last updated on 2025-01-13 02:07 CET by the dblp team
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