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ORCIDLeandro Nunes de Castro
Person information
- affiliation: University of Campinas, Sao Paulo, Brazil
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2020 – today
- 2024
[j40]Rodrigo Pasti, Alexandre Politi, Leandro Nunes de Castro:
Dynamics of rapid evolution on the basis of phenotypic adaptation and ecological opportunities. Evol. Intell. 17(4): 2843-2863 (2024)- [c97]Rafael Marin Machado de Souza, Leandro Nunes de Castro, Marcio Biczyk, Marcos dos Santos, Eder Costa Cassettari:
Stochastic Simulation Agent for Unknown Inventory Demands in Healthcare Supply Management. DATA 2024: 211-217 - 2023
- [j39]Matheus A. Ferraria, Vinicius A. Ferraria, Leandro Nunes de Castro:
An Investigation Into Different Text Representations to Train an Artificial Immune Network for Clustering Texts. Int. J. Interact. Multim. Artif. Intell. 8(3): 55 (2023) - 2022
- [c96]Fadi Jerji
, Cristiano Akamine, Leandro Nunes de Castro:
Designing Non-Uniform Constellations using an Artificial Immune System. BMSB 2022: 1-4 - [c95]Vitor César Moreira Pereira, Leandro Nunes de Castro:
Natural Language Processing Based on a Text Graph Convolutional Network. DCAI (1) 2022: 1-10 - [c94]Diego Duarte Menescal, Leandro Nunes de Castro:
On the Generation of Desired Outputs for Spike Neural Networks (SNN). DCAI (1) 2022: 100-110 - [c93]Rodrigo Pasti, Khallil Taverna Chaim, María Concepción García Otaduy, Patrick Martins de Faria, Marcio Biczyk, Leandro Nunes de Castro:
Motion Induced Scores for 7Tesla rs-fMRI with Post-Mortem Data as Reference. DCAI (1) 2022: 230-239 - [c92]Matheus A. Ferraria, Vinicius A. Ferraria, Leandro Nunes de Castro:
A Study on Different Text Representation Methods for the Negative Selection Algorithm. DCAI (1) 2022: 302-311 - [c91]Christyan Inácio de Almeida, Leandro Nunes de Castro:
A Method to Predict the Relative Performance of Stocks Using Financial Meta-indicators. DCAI (1) 2022: 322-331 - [c90]Carinna Nunes Tulha, Marco António Garcia de Carvalho, Leandro Nunes de Castro:
LEDA: A Learning Analytics Based Framework to Analyze Remote Labs Interaction. L@S 2022: 379-383 - 2021
- [j38]Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Nunes de Castro:
A framework for the analysis and synthesis of Swarm Intelligence algorithms. J. Exp. Theor. Artif. Intell. 33(4): 659-681 (2021) - [j37]Mauricio Noris Freire, Leandro Nunes de Castro:
e-Recruitment recommender systems: a systematic review. Knowl. Inf. Syst. 63(1): 1-20 (2021) - 2020
- [j36]Flavio Gabriel Duarte, Leandro Nunes de Castro:
A Framework to Perform Asset Allocation Based on Partitional Clustering. IEEE Access 8: 110775-110788 (2020) - [c89]Mauricio Noris Freire, Leandro Nunes de Castro:
A Framework for e-Recruitment Recommender Systems. ICAISC (2) 2020: 165-175 - [c88]Joel J. S. Junior, Fabrício Gomes Vilasbôas, Leandro Nunes de Castro:
The Influence of Feature Selection on Job Clustering for an E-recruitment Recommender System. ICAISC (2) 2020: 176-187
2010 – 2019
- 2019
- [j35]Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Nunes de Castro:
A critical discussion into the core of swarm intelligence algorithms. Evol. Intell. 12(2): 189-200 (2019) - [j34]María Navarro-Cáceres, Marcelo F. Caetano, Gilberto Bernardes, Leandro Nunes de Castro:
ChordAIS: An assistive system for the generation of chord progressions with an artificial immune system. Swarm Evol. Comput. 50 (2019) - [c87]Júlio César de Lima Costa, Leandro Nunes de Castro, Calebe de Paula Bianchini:
Sensitivity Analysis of the Negative Selection Algorithm Applied to Anomalies Identification in Builds. CLEI 2019: 1-6 - [c86]Rodrigo Pasti, Fabrício Gomes Vilasbôas, Isabela R. Roque, Leandro Nunes de Castro:
A Sensitivity and Performance Analysis of Word2Vec Applied to Emotion State Classification Using a Deep Neural Architecture. DCAI 2019: 199-206 - [c85]Guilherme Raiol de Miranda, Rodrigo Pasti, Leandro Nunes de Castro:
Detecting Topics in Documents by Clustering Word Vectors. DCAI 2019: 235-243 - [c84]Rafael Marin Machado de Souza, Fabrício Gomes Vilasbôas, Pollyana Notargiacomo, Leandro Nunes de Castro:
Integrating an Association Rule Mining Agent in an ERP System: A Proposal and a Computational Scalability Analysis. ICAART (2) 2019: 778-786 - [c83]Flavio Gabriel Duarte, Leandro Nunes de Castro:
A Fuzzy Clustering Algorithm for Portfolio Selection. CBI (1) 2019: 414-418 - 2018
- [j33]Ronie M. Uliana, Leandro Nunes de Castro:
Identifying Career Boundaries Using Minimum Description Length on a Graph. IEEE Access 6: 42407-42421 (2018) - [j32]Thiago A. S. Masutti, Leandro Nunes de Castro:
VRoptBees: A Bee-Inspired Framework for Solving Vehicle Routing Problems. Int. J. Nat. Comput. Res. 7(1): 32-56 (2018) - [j31]Danilo Souza da Cunha, Rafael Silveira Xavier, Leandro Nunes de Castro:
Bacterial colonies as complex adaptive systems. Nat. Comput. 17(4): 781-798 (2018) - [c82]Danilo Souza da Cunha, Leandro Nunes de Castro:
Evolutionary and Immune Algorithms Applied to Association Rule Mining in Static and Stream Data. CEC 2018: 1-8 - [c81]Isabela Ruiz Roque da Silva, Ana Carolina E. S. Lima, Rodrigo Pasti, Leandro Nunes de Castro:
Classifying Emotions in Twitter Messages Using a Deep Neural Network. DCAI (Special Sessions) 2018: 283-290 - [c80]Cristina Fátima Claro, Ana Carolina E. S. Lima, Leandro Nunes de Castro:
Predicting Temperament using Keirsey's Model for Portuguese Twitter Data. ICAART (2) 2018: 250-256 - [c79]Cristina Fátima Claro, Ana Carolina E. S. Lima, Leandro Nunes de Castro:
The Application of Keirsey's Temperament Model to Twitter Data in Portuguese. ICAART (Revised Selected Papers) 2018: 408-421 - [c78]Danilo Souza da Cunha, Rafael Silveira Xavier, Daniel Gomes Ferrari, Leandro Nunes de Castro:
Bacterial Colony Algorithms Applied to Association Rule Mining in Static Data and Streams. PAAMS (Workshops) 2018: 525-533 - 2017
- [j30]Danilo Souza da Cunha, Dávila Patrícia Ferreira Cruz, Alexandre Politi, Leandro Nunes de Castro, Renato Dourado Maia:
Bio-inspired multiobjective clustering optimization: A survey and a proposal. Artif. Intell. Res. 6(2): 10-26 (2017) - [j29]José Valente de Oliveira, Alexandre Szabo, Leandro Nunes de Castro:
Particle Swarm Clustering in clustering ensembles: Exploiting pruning and alignment free consensus. Appl. Soft Comput. 55: 141-153 (2017) - 2016
- [j28]Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Augusto da Silva, Leandro Nunes de Castro:
BeeRBF: A bee-inspired data clustering approach to design RBF neural network classifiers. Neurocomputing 172: 427-437 (2016) - [c77]Thiago A. S. Masutti, Leandro Nunes de Castro:
TSPoptBees: A Bee-Inspired Algorithm to Solve the Traveling Salesman Problem. IIAI-AAI 2016: 593-598 - [c76]Ana Carolina E. S. Lima, Leandro Nunes de Castro:
Predicting Temperament from Twitter Data. IIAI-AAI 2016: 599-604 - [c75]José Ahirton Batista Lopes Filho, Rodrigo Pasti, Leandro Nunes de Castro:
Gender Classification of Twitter Data Based on Textual Meta-Attributes Extraction. WorldCIST (1) 2016: 1025-1034 - 2015
- [j27]Ana Carolina E. S. Lima, Leandro Nunes de Castro, Juan M. Corchado:
A polarity analysis framework for Twitter messages. Appl. Math. Comput. 270: 756-767 (2015) - [j26]Daniel Gomes Ferrari, Leandro Nunes de Castro:
Clustering algorithm selection by meta-learning systems: A new distance-based problem characterization and ranking combination methods. Inf. Sci. 301: 181-194 (2015) - [c74]María Navarro, Marcelo F. Caetano, Gilberto Bernardes, Leandro Nunes de Castro, Juan Manuel Corchado:
Automatic Generation of Chord Progressions with an Artificial Immune System. EvoMUSART 2015: 175-186 - [c73]Alexandre Szabo, Myriam Regattieri Delgado, Leandro Nunes de Castro:
A Particle Swarm Clustering Algorithm with Fuzzy Weighted Step Sizes. IDEAL 2015: 87-95 - [c72]Danilo Souza da Cunha, Rafael Silveira Xavier, Leandro Nunes de Castro:
A Bacterial Colony Algorithm for Association Rule Mining. IDEAL 2015: 96-103 - [c71]Rafael Felix, Leandro Augusto da Silva, Leandro Nunes de Castro:
Thresholding the Courtesy Amount of Brazilian Bank Checks Using a Local Methodology. PAAMS (Workshops) 2015: 213-221 - 2014
- [j25]Willyan Daniel Abilhoa, Leandro Nunes de Castro:
A keyword extraction method from twitter messages represented as graphs. Appl. Math. Comput. 240: 308-325 (2014) - [j24]Angelo C. Loula, Leandro Nunes de Castro, Antônio L. Apolinário Jr., Pedro Luís Bernardo da Rocha, Maria da Conceição L. Carneiro, Vanessa Perpétua G. S. Reis, Ricardo F. Machado, Claudia Sepulveda, Charbel N. El-Hani:
Modeling a Virtual World for the Educational Game Calangos. Int. J. Comput. Games Technol. 2014: 382396:1-382396:14 (2014) - [j23]Ana Carolina E. S. Lima, Leandro Nunes de Castro:
A multi-label, semi-supervised classification approach applied to personality prediction in social media. Neural Networks 58: 122-130 (2014) - [c70]Renato Dourado Maia, Leandro Nunes de Castro, Walmir Matos Caminhas:
Real-parameter optimization with OptBees. IEEE Congress on Evolutionary Computation 2014: 2649-2655 - [c69]Willyan Daniel Abilhoa, Leandro Nunes de Castro:
TKG: A Graph-Based Approach to Extract Keywords from Tweets. DCAI 2014: 425-432 - [c68]Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Augusto da Silva, Leandro Nunes de Castro:
A Bee-Inspired Data Clustering Approach to Design RBF Neural Network Classifiers. DCAI 2014: 545-552 - [c67]Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Nunes de Castro:
Parametric sensitivity analysis of cOptBees optimal clustering algorithm. ISDA 2014: 168-173 - 2013
- [c66]Rafael Silveira Xavier, Leandro Nunes de Castro:
Natural Information and Computation: A Proposal Based on Interaction and Decision Making. AAAI Fall Symposia 2013 - [c65]Venyton N. L. Izidoro, Leandro Nunes de Castro, Angelo C. Loula:
A genetic-evolutionary model to simulate population dynamics in the Calangos game. IEEE Congress on Evolutionary Computation 2013: 277-283 - [c64]Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Alexandre Szabo, Leandro Nunes de Castro:
A bee-inspired algorithm for optimal data clustering. IEEE Congress on Evolutionary Computation 2013: 3140-3147 - 2012
- [j22]Luiz Antonio Carraro, Leandro Nunes de Castro, Angelita Maria de Ré, Fabrício Olivetti de França:
A Fuzzy Inference System to Determine the Number of Clones in a Class of Artificial Immune Systems. Int. J. Comput. Intell. Appl. 11(1) (2012) - [j21]Alexandre Szabo, Leandro Nunes de Castro:
Cpsclass: a Constructive Particle Swarm Classifier. Int. J. Comput. Intell. Appl. 11(1) (2012) - [c63]Ana Carolina E. S. Lima, Leandro Nunes de Castro:
Automatic sentiment analysis of Twitter messages. CASoN 2012: 52-57 - [c62]Ederson Borges, Daniel Gomes Ferrari, Leandro Nunes de Castro:
Silhouette-based clustering using an immune network. IEEE Congress on Evolutionary Computation 2012: 1-9 - [c61]Luiz Antonio Carraro, Leandro Nunes de Castro:
A clonal selection algorithm to minimize reshuffling in container stacking operations. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c60]Renato Dourado Maia, Leandro Nunes de Castro, Walmir Matos Caminhas:
Bee colonies as model for multimodal continuous optimization: The OptBees algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c59]Alexandre Szabo, Leandro Nunes de Castro, Myriam Regattieri Delgado:
FaiNet: An immune algorithm for fuzzy clustering. FUZZ-IEEE 2012: 1-9 - [c58]Alexandre Szabo, Leandro Nunes de Castro, Myriam Regattieri Delgado:
A Constructive Particle Swarm Algorithm for Fuzzy Clustering. IDEAL 2012: 390-398 - [c57]Daniel Gomes Ferrari, Leandro Nunes de Castro:
Clustering Algorithm Recommendation: A Meta-learning Approach. SEMCCO 2012: 143-150 - [c56]Danilo Souza da Cunha, Leandro Nunes de Castro:
Evolutionary and Immune Algorithms Applied to Association Rule Mining. SEMCCO 2012: 628-635 - 2011
- [j20]Leandro Nunes de Castro, Rafael Silveira Xavier, Rodrigo Pasti, Renato Dourado Maia, Alexandre Szabo, Daniel Gomes Ferrari:
The Grand Challenges in Natural Computing Research: The Quest for a New Science. Int. J. Nat. Comput. Res. 2(4): 17-30 (2011) - [j19]Rodrigo Pasti, Fernando J. Von Zuben, Leandro Nunes de Castro:
Ecosystems Computing: Introduction to Biogeographic Computation. Int. J. Nat. Comput. Res. 2(4): 47-67 (2011) - [c55]Rodrigo Pasti, Fernando J. Von Zuben, Renato Dourado Maia, Leandro Nunes de Castro:
Heuristics to avoid redundant solutions on population-based multimodal continuous optimization. IEEE Congress on Evolutionary Computation 2011: 2321-2328 - [c54]Rafael Silveira Xavier, Nizam Omar, Leandro Nunes de Castro:
Bacterial colony: Information processing and computational behavior. NaBIC 2011: 439-443 - [c53]Alexandre Szabo, Leandro Nunes de Castro, Myriam Regattieri Delgado:
The proposal of a fuzzy clustering algorithm based on particle swarm. NaBIC 2011: 459-465 - [c52]Luiz A. Carraro, Leandro Nunes de Castro:
A Clonal Selection Algorithm for the container stacking problem. NaBIC 2011: 569-574 - [c51]Venyton N. L. Izidoro, Leandro Nunes de Castro, Angelo C. Loula, Charbel N. El-Hani:
CALANGOS Level 4: The Environmental Influence on the Players' Strategy in a Simulation of the Ecological and Evolutionary Level of the Game. SBGames 2011: 114-123 - 2010
- [j18]Leandro Nunes de Castro, Jon Timmis, Helder Knidel, Fernando J. Von Zuben:
Artificial Immune Systems: structure, function, diversity and an application to biclustering. Nat. Comput. 9(3): 575-577 (2010) - [j17]Rodrigo Pasti, Leandro Nunes de Castro, Guilherme Palermo Coelho, Fernando J. Von Zuben:
Neural network ensembles: immune-inspired approaches to the diversity of components. Nat. Comput. 9(3): 625-653 (2010) - [c50]Alexandre Szabo, Ana Karina Fontes Prior, Leandro Nunes de Castro:
The proposal of a velocity memoryless clustering swarm. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c49]Alexandre Szabo, Ana Karina Fontes Prior, Leandro Nunes de Castro:
The behavior of particles in the Particle Swarm Clustering algorithm. FUZZ-IEEE 2010: 1-7 - [c48]Luiz Antonio Carraro, Leandro Nunes de Castro, Angelita Maria de Ré:
A fuzzy inference system to determine the number of clones in the clonal selection algorithm. NaBIC 2010: 98-102 - [c47]Alexandre Szabo, Leandro Nunes de Castro:
The proposal of a Constructive Particle Swarm Classifier. NaBIC 2010: 164-168 - [c46]Rafael Silveira Xavier, Leandro Nunes de Castro:
Computational replicators: A taxonomy of properties and a preliminary model. NaBIC 2010: 249-254
2000 – 2009
- 2009
- [j16]Thiago A. S. Masutti, Leandro Nunes de Castro:
Neuro-immune approach to solve routing problems. Neurocomputing 72(10-12): 2189-2197 (2009) - [j15]Rodrigo Pasti, Leandro Nunes de Castro:
Bio-inspired and gradient-based algorithms to train MLPs: The influence of diversity. Inf. Sci. 179(10): 1441-1453 (2009) - [j14]Thiago A. S. Masutti, Leandro Nunes de Castro:
A self-organizing neural network using ideas from the immune system to solve the traveling salesman problem. Inf. Sci. 179(10): 1454-1468 (2009) - [j13]Yupanqui Julho Muñoz, Leandro Nunes de Castro:
Self-organisation and emergence in artificial life: concepts and illustrations. J. Exp. Theor. Artif. Intell. 21(4): 273-292 (2009) - [c45]Thiago F. Covoes, Eduardo R. Hruschka, Leandro Nunes de Castro, Átila M. Santos:
A Cluster-Based Feature Selection Approach. HAIS 2009: 169-176 - 2008
- [j12]Leandro Nunes de Castro, Yupanqui Julho Muñoz, Leandro R. de Freitas, Charbel N. El-Hani:
A Virtual Laboratory on Natural Computing: A Learning Experiment. Int. J. Distance Educ. Technol. 6(2): 55-73 (2008) - [c44]Thiago A. S. Masutti, Leandro Nunes de Castro:
A Clustering Approach Based on Artificial Neural Networks to Solve Routing Problems. CSE 2008: 285-292 - [c43]Thiago A. S. Masutti, Leandro Nunes de Castro:
A Neuro-Immune Algorithm to Solve the Capacitated Vehicle Routing Problem. ICARIS 2008: 210-219 - 2007
- [c42]Rodrigo Pasti, Leandro Nunes de Castro:
The Influence of Diversity in an Immune-Based Algorithm to Train MLP Networks. ICARIS 2007: 71-82 - [c41]Thiago A. S. Masutti, Leandro Nunes de Castro:
A Constructive Self-Organizing Network Applied to a Discrete Optimization Problem. ISDA 2007: 52-57 - [c40]Yupanqui Julho Muñoz, Leandro Nunes de Castro:
Simulating Life as a Self-Organizing and Emergent Phenomenon. ISDA 2007: 895-900 - [e1]Leandro Nunes de Castro, Fernando J. Von Zuben, Helder Knidel:
Artificial Immune Systems, 6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007, Proceedings. Lecture Notes in Computer Science 4628, Springer 2007, ISBN 978-3-540-73921-0 [contents] - 2006
- [b2]Leandro Nunes de Castro:
Fundamentals of Natural Computing - Basic Concepts, Algorithms, and Applications. Chapman and Hall / CRC computer and information science series, Chapman & Hall 2006, ISBN 978-1-58488-643-3, pp. 1-662 - [j11]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Evolving clusters in gene-expression data. Inf. Sci. 176(13): 1898-1927 (2006) - [c39]Sandra C. M. Cohen, Leandro Nunes de Castro:
Data Clustering with Particle Swarms. IEEE Congress on Evolutionary Computation 2006: 1792-1798 - [c38]Fabrício Olivetti de França, Lalinka de C. T. Gomes, Leandro Nunes de Castro, Fernando J. Von Zuben:
Handling Time-Varying TSP Instances. IEEE Congress on Evolutionary Computation 2006: 2830-2837 - [c37]Cynthia Junqueira, Fabrício Olivetti de França, Romis Ribeiro Faissol Attux, Cristiano M. Panazio, Leandro Nunes de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano:
Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels. IEEE Congress on Evolutionary Computation 2006: 2896-2903 - [c36]Fábio A. P. Reis, Igor C. Félix, Silvio Luiz Stanzani, Ricardo J. G. B. Campello, Leandro Nunes de Castro, Hermes Senger, Marta C. Rosatelli:
A Learning Object on Computational Intelligence. ICALT 2006: 33 - [c35]George Barreto Bezerra, Tiago V. Barra, Hamilton M. Ferreira, Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immunological Filter for Spam. ICARIS 2006: 446-458 - [c34]Tiago V. Barra, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification. IJCNN 2006: 929-935 - [c33]Rodrigo Pasti, Leandro Nunes de Castro:
An Immune and a Gradient-Based Method to Train Multi-Layer Perceptron Neural Networks. IJCNN 2006: 2075-2082 - [c32]Helder Knidel, Fernando J. Von Zuben, Leandro Nunes de Castro:
A Supervised Constructive Neuro-Immune Network for Pattern Classification. IJCNN 2006: 2083-2089 - [c31]Rodrigo Pasti, Leandro Nunes de Castro:
A Neuro-Immune Network for Solving the Traveling Salesman Problem. IJCNN 2006: 3760-3766 - 2005
- [j10]André L. Vizine, Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo R. Gudwin:
Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm. Informatica (Slovenia) 29(2): 143-154 (2005) - [j9]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions. Informatica (Slovenia) 29(2): 163-172 (2005) - [c30]George Barreto Bezerra, Tiago V. Barra, Fernando J. Von Zuben, Leandro Nunes de Castro:
Handling Data Sparseness in Gene Network Reconstruction. CIBCB 2005: 68-75 - [c29]Patrícia Amâncio Vargas, Renan Cipriano Moioli, Leandro Nunes de Castro, Jon Timmis, Mark James Neal, Fernando J. Von Zuben:
Artificial Homeostatic System: A Novel Approach. ECAL 2005: 754-764 - [c28]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
An artificial immune network for multimodal function optimization on dynamic environments. GECCO 2005: 289-296 - [c27]Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
RABNET: a real-valued antibody network for data clustering. GECCO 2005: 371-372 - [c26]George Barreto Bezerra, Tiago V. Barra, Leandro Nunes de Castro, Fernando J. Von Zuben:
Adaptive Radius Immune Algorithm for Data Clustering. ICARIS 2005: 290-303 - [c25]Danilo Mattos Bonfim, Leandro Nunes de Castro:
FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-Systems. ICNC (1) 2005: 1275-1278 - [c24]Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
Data Clustering with a Neuro-immune Network. ICNC (1) 2005: 1279-1288 - [r1]Leandro Nunes de Castro:
Natural Computing. Encyclopedia of Information Science and Technology (IV) 2005: 2080-2084 - 2004
- [j8]Janaína S. de Sousa, Lalinka de C. T. Gomes, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data. Genet. Program. Evolvable Mach. 5(2): 157-179 (2004) - [j7]Leandro Nunes de Castro:
Dynamics of an artificial immune network. J. Exp. Theor. Artif. Intell. 16(1): 19-39 (2004) - [c23]Fabricio Sergio de Paula, Leandro Nunes de Castro, Paulo L. de Geus:
An intrusion detection system using ideas from the immune system. IEEE Congress on Evolutionary Computation 2004: 1059-1066 - [c22]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Evolutionary search for optimal fuzzy c-means clustering. FUZZ-IEEE 2004: 685-690 - [c21]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Improving the Efficiency of a Clustering Genetic Algorithm. IBERAMIA 2004: 861-870 - [c20]George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
A Hierarchical Immune Network Applied to Gene Expression Data. ICARIS 2004: 14-27 - [c19]Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello:
Evolutionary Algorithms for Clustering Gene-Expression Data. ICDM 2004: 403-406 - [c18]Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka:
TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies. ICONIP 2004: 1088-1093 - [c17]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. ICONIP 2004: 1094-1100 - [c16]George Barreto Bezerra, Geraldo M. A. Cançado, Marcelo Menossi, Leandro Nunes de Castro, Fernando J. Von Zuben:
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results. WOB 2004: 9-16 - 2003
- [j6]Romis Ribeiro Faissol Attux, Murilo Bellezoni Loiola, Ricardo Suyama, Leandro Nunes de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano:
Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model. EURASIP J. Adv. Signal Process. 2003(8): 740-747 (2003) - [j5]Leandro Nunes de Castro, Fernando J. Von Zuben, Getúlio A. de Deus Jr.:
The construction of a Boolean competitive neural network using ideas from immunology. Neurocomputing 50: 51-85 (2003) - [j4]Leandro Nunes de Castro, Jon Timmis:
Artificial immune systems as a novel soft computing paradigm. Soft Comput. 7(8): 526-544 (2003) - [c15]Leandro Nunes de Castro:
The immune response of an artificial immune network (aiNet). IEEE Congress on Evolutionary Computation 2003: 146-153 - [c14]Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben:
Implementation of an immuno-genetic network on a real Khepera II robot. IEEE Congress on Evolutionary Computation 2003: 420-426 - [c13]George Barreto Bezerra, Leandro Nunes de Castro:
Bioinformatics Data Analysis Using an Artificial Immune Network. ICARIS 2003: 22-33 - [c12]Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben:
An Immune Learning Classifier Network for Autonomous Navigation. ICARIS 2003: 69-80 - [c11]Romis Ribeiro Faissol Attux, Leandro Nunes de Castro, Fernando José Von Zuben, João Marcos Travassos Romano:
A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network. NNSP 2003: 839-848 - [c10]Rafael Ferrari, Cristiano M. Panazio, Romis Ribeiro Faissol Attux, Charles Casimiro Cavalcante, Leandro Nunes de Castro, Fernando José Von Zuben, João M. T. Romano:
Unsupervised channel equalization using fuzzy prediction-error filters. NNSP 2003: 869-878 - [c9]Lalinka de C. T. Gomes, Janaína S. de Sousa, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
Copt-aiNet and the Gene Ordering Problem. WOB 2003: 28-37 - 2002
- [b1]Leandro Nunes de Castro, Jonathan Timmis:
Artificial immune systems - a new computational intelligence paradigm. Springer 2002, ISBN 978-1-85233-594-6, pp. I-XVIII, 1-357 - [j3]Leandro Nunes de Castro, Fernando J. Von Zuben:
Learning and optimization using the clonal selection principle. IEEE Trans. Evol. Comput. 6(3): 239-251 (2002) - [c8]Leandro Nunes de Castro, Jon Timmis:
An artificial immune network for multimodal function optimization. IEEE Congress on Evolutionary Computation 2002: 699-704 - [c7]Patrícia Amâncio Vargas, Leandro Nunes de Castro, Fernando J. Von Zuben:
Mapping Artificial Immune Systems into Learning Classifier Systems. IWLCS 2002: 163-186 - [c6]Leandro Nunes de Castro:
Comparing Immue and Neural Networks. SBRN 2002: 250-255 - 2001
- [j2]Leandro Nunes de Castro, Fernando J. Von Zuben:
Immune and Neural Network Models: Theoretical and Empirical Comparisons. Int. J. Comput. Intell. Appl. 1(3): 239-257 (2001) - [j1]Leandro Nunes de Castro, Fernando J. Von Zuben:
Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach. Int. J. Neural Syst. 11(6): 523-535 (2001) - 2000
- [c5]Leandro Nunes de Castro, Fernando J. Von Zuben:
An Evolutionary Immune Network for Data Clustering. SBRN 2000: 84-89
1990 – 1999
- 1999
- [c4]Eduardo Masato Iyoda, Leandro Nunes de Castro, Fernando A. C. Gomide, Fernando J. Von Zuben:
Evolutionary design of neurofuzzy networks for pattern classification. CEC 1999: 1237-1244 - [c3]Leandro Nunes de Castro, Fernando J. Von Zuben:
An improving pruning technique with restart for the Kohonen self-organizing feature map. IJCNN 1999: 1916-1919 - [c2]Leandro Nunes de Castro, Luis Alberto Ramirez, Fernando A. C. Gomide, Fernando J. Von Zuben:
Hybrid tuning of activation functions in feedforward neural networks. IJCNN 1999: 4263-4268 - 1998
- [c1]Leandro Nunes de Castro, Eduardo Masato Iyoda, Fernando J. Von Zuben, Ricardo R. Gudwin:
Feedforward Neural Network Initialization: an Evolutionary Approach. SBRN 1998: 43-48
Coauthor Index
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