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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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