Renato Tinós - RankMe

107 papers A* 1A 26B 15C 3Journal 33Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research. Comput. Electron. Agric. Jayme Garcia Arnal Barbedo, Marcelo Santos da Silva, Mirela Teixeira Cazzolato, Lucas Pascotti Valem, Renato Tinós, Roseli Aparecida Francelin Romero, Luiz Otávio Murta, Adriano de Jesus Holanda, Joaquim Cezar Felipe, José Baldin Pinheiro, José Tiago Barroso Chagas, Roberto Fray da Silva, Everton Castelão Tetila, Lucio Andre de Castro Jorge, Huaqiang Yuan, Weiling Li, Ketan Kotecha, Liang Zhao
2025	B	`conf`	Attention to EEG signals: a transformer-based architecture for the prognosis of patients in coma. IJCNN João L. M. Barbosa, Murillo G. Carneiro, Sérgio Baldo Júnior, Renato Tinós, Donghong Ji, Liang Zhao, João-Batista Destro-Filho
2025	C	`conf`	Clustering and Explainable AI for Supporting Energy Contracting in the Brazilian Free Energy Market. ICMLA Sérgio Baldo Júnior, Gabriel S. Matz, Marcos B. S. Paula, Ewerton Guarnier, Donato S. Filho, Raquel L. Melo, Lucas B. Picarelli, Victor C. V. Rosa, Zhao Liang, Renato Tinós
2025	—	`conf`	Coma Etiology Prediction Using a CNN-LSTM Model Guided by EEG Brain Regions. BRACIS (4) João L. M. Barbosa, Murillo Guimarães Carneiro, Sérgio Baldo Júnior, Renato Tinós, Liang Zhao, João-Batista Destro-Filho
2025	A	`conf`	Empirical Linkage Discovery in Bi-Objective Optimization. FOGA Michal Witold Przewozniczek, Marcin M. Komarnicki, Renato Tinós
2025	—	`conf`	Estimating Variable Importance and Interaction in Machine Learning via Genetic Algorithms. BRACIS (1) David Gabriel Guimarães, Sabrina Sousa Carvalho, Renato Higor do Nascimento, Renato Tinós
2025	—	`conf`	Explainable Artificial Intelligence for Behavioral Simulation: SHAP-Based Analysis of Decision-Making in Virtual Rats. BRACIS (4) Thálita Guimarães Freire, Renato Tinós, Ariadne A. Costa
2025	A	`conf`	Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances. GECCO Jedrzej Piatek, Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós
2025	J	`jnl`	Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances. CoRR Jedrzej Piatek, Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós
2025	J	`jnl`	Offline reinforcement learning strategies guided meta-heuristics for scheduling bi-objective unmanned surface vessel problems with multiple constraints. Swarm Evol. Comput. Wuze Huang, Kaizhou Gao, Naiqi Wu, Liang Zhao, Renato Tinós
2025	A	`conf`	On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. GECCO Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata Wijata
2025	J	`jnl`	On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. CoRR Michal Przewozniczek, Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata M. Wijata
2025	—	`conf`	Variable Importance and Interaction in Differential Evolution: Online Learning and a New Recombination Operator. BRACIS (2) Renato Tinós, Francisco Chicano, Michal Witold Przewozniczek
2024	A	`conf`	CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. GECCO Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa
2024	J	`jnl`	Dynastic Potential Crossover Operator. CoRR Francisco Chicano, Gabriela Ochoa, Darrell Whitley, Renato Tinós
2024	—	`conf`	Generalizing and Unifying Gray-Box Combinatorial Optimization Operators. PPSN (1) Francisco Chicano, Darrell Whitley, Gabriela Ochoa, Renato Tinós
2024	J	`jnl`	Generalizing and Unifying Gray-box Combinatorial Optimization Operators. CoRR Francisco Chicano, Darrell Whitley, Gabriela Ochoa, Renato Tinós
2024	J	`jnl`	Iterated Local Search with Linkage Learning. CoRR Renato Tinós, Michal Przewozniczek, Darrell Whitley, Francisco Chicano
2024	J	`jnl`	Iterated Local Search with Linkage Learning. ACM Trans. Evol. Learn. Optim. Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley, Francisco Chicano
2024	J	`jnl`	Multi-source data ensemble for energy price trend forecasting. Eng. Appl. Artif. Intell. Douglas Donizeti de Castilho Braz, Moisés Rocha dos Santos, Marcos Basile Saviano de Paula, Donato da Silva-Filho, Ewerton Guarnier, Lucas Penido Alípio, Renato Tinós, André C. P. L. F. de Carvalho
2024	J	`jnl`	NK Hybrid Genetic Algorithm for Clustering. CoRR Renato Tinós, Liang Zhao, Francisco Chicano, Darrell Whitley
2024	A	`conf`	Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems. GECCO Marcin Michal Komarnicki, Michal Witold Przewozniczek, Renato Tinós, Xiaodong Li
2023	B	`conf`	Classification of coma etiology using convolutional neural networks and long-short term memory networks. IJCNN Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós
2023	B	`conf`	Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. IJCNN Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas Penido Alípio
2023	A	`conf`	First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms. GECCO Michal Witold Przewozniczek, Renato Tinós, Marcin Michal Komarnicki
2023	A	`conf`	Genetic Algorithm with Linkage Learning. GECCO Renato Tinós, Michal Przewozniczek, Darrell Whitley, Francisco Chicano
2023	—	`conf`	Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes. BRACIS (3) Maísa de Carvalho Silva, Paulo Guilherme Pinheiro Pereira, Lariza Laura de Oliveira, Renato Tinós
2022	J	`jnl`	Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics. J. Digit. Imaging Rafael Silva Del Lama, Raquel Mariana Candido, Natália Santana Chiari-Correia, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques, Renato Tinós
2022	J	`jnl`	Dynastic Potential Crossover Operator. Evol. Comput. Francisco Chicano, Gabriela Ochoa, L. Darrell Whitley, Renato Tinós
2022	A	`conf`	Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization. GECCO Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley
2022	—	`conf`	Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market. LA-CCI Moisés R. Santos, Douglas Donizeti de Castilho Braz, André C. P. L. F. de Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Lorena E. Ferreira, José E. Carmo Júnior
2022	A	`conf`	On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover. GECCO Michal Witold Przewozniczek, Renato Tinós, Bartosz Frej, Marcin M. Komarnicki
2021	—	`conf`	A Graph-Based Crossover and Soft-Repair Operators for the Steiner Tree Problem. BRACIS (1) Giliard Almeida de Godoi, Renato Tinós, Danilo Sipoli Sanches
2021	A	`conf`	An efficient implementation of iterative partial transcription for the traveling salesman problem. GECCO Anirban Mukhopadhyay, L. Darrell Whitley, Renato Tinós
2021	A	`conf`	Partition crossover for continuous optimization: ePX. GECCO Renato Tinós, Darrell Whitley, Francisco Chicano, Gabriela Ochoa
2021	J	`jnl`	Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning. Biomed. Signal Process. Control. Luiz Eduardo Virgilio da Silva, Henrique Turin Moreira, Mariani Mendes Madisson Bernardo, André Schmidt, Minna Moreira Dias Romano, Hélio Cesar Salgado, Rubens Fazan Junior, Renato Tinós, Jose Antonio Marin-Neto
2021	—	`conf`	Use of Fitness Sharing in the Local Rule-Based Explanations Method. LA-CCI Daniel A. Santos, José Augusto Baranauskas, Renato Tinós
2020	J	`jnl`	A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima. Evol. Comput. Renato Tinós, L. Darrell Whitley, Gabriela Ochoa
2020	J	`jnl`	Artificial neural network based crossover for evolutionary algorithms. Appl. Soft Comput. Renato Tinós
2019	—	`conf`	A New Method for Identification of Recombining Components in the Generalized Partition Crossover. BRACIS Ozeas Quevedo de Carvalho, Renato Tinós, L. Darrell Whitley, Danilo Sipoli Sanches
2019	J	`jnl`	A framework for inducing artificial changes in optimization problems. Inf. Sci. Renato Tinós, Shengxiang Yang
2019	—	`conf`	An RBF Network Based Crossover for Pseudo-Boolean Optimization. BRACIS Renato Tinós
2019	—	`conf`	Next generation genetic algorithms. GECCO (Companion) L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós
2019	B	`conf`	Quasi-Optimal Recombination Operator. EvoCOP Francisco Chicano, Gabriela Ochoa, L. Darrell Whitley, Renato Tinós
2019	—	`conf`	Using Hyperplanes to Create Neutral Networks in Pseudo-Boolean Optimization. BRACIS Renato Tinós
2018	B	`conf`	A Fusion Mechanism for the Generalized Asymmetric Partition Crossover. CEC Renato Tinós, L. Darrell Whitley
2018	—	`conf`	Efficient Recombination in the Lin-Kernighan-Helsgaun Traveling Salesman Heuristic. PPSN (1) Renato Tinós, Keld Helsgaun, L. Darrell Whitley
2018	A	`conf`	Enhancing partition crossover with articulation points analysis. GECCO Francisco Chicano, Gabriela Ochoa, L. Darrell Whitley, Renato Tinós
2018	B	`conf`	Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization. CEC Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
2018	J	`jnl`	Multi-objective genetic algorithms in the study of the genetic code's adaptability. Inf. Sci. Lariza Laura de Oliveira, Alex Alves Freitas, Renato Tinós
2018	J	`jnl`	NK Hybrid Genetic Algorithm for Clustering. IEEE Trans. Evol. Comput. Renato Tinós, Liang Zhao, Francisco Chicano, L. Darrell Whitley
2018	—	`conf`	Next generation genetic algorithms. GECCO (Companion) L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós
2018	—	`conf`	Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks. PPSN (2) L. Darrell Whitley, Renato Tinós, Francisco Chicano
2018	A	`conf`	Tunneling between plateaus: improving on a state-of-the-art MAXSAT solver using partition crossover. GECCO Wenxiang Chen, L. Darrell Whitley, Renato Tinós, Francisco Chicano
2017	A	`conf`	Building a better heuristic for the traveling salesman problem: combining edge assembly crossover and partition crossover. GECCO Danilo Sipoli Sanches, L. Darrell Whitley, Renato Tinós
2017	J	`jnl`	Feature learning in feature-sample networks using multi-objective optimization. CoRR Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
2017	A	`conf`	Improving an exact solver for the traveling salesman problem using partition crossover. GECCO Danilo Sipoli Sanches, L. Darrell Whitley, Renato Tinós
2017	A	`conf`	Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search. GECCO Francisco Chicano, L. Darrell Whitley, Gabriela Ochoa, Renato Tinós
2016	A	`conf`	A New Evaluation Function for Clustering: The NK Internal Validation Criterion. GECCO Renato Tinós, Liang Zhao, Francisco Chicano, L. Darrell Whitley
2016	A	`conf`	Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. PPSN Renato Tinós, Shengxiang Yang
2016	A	`conf`	Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems. GECCO Francisco Chicano, L. Darrell Whitley, Renato Tinós
2016	B	`conf`	Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization. EvoCOP Francisco Chicano, L. Darrell Whitley, Renato Tinós
2016	J	`jnl`	Efficient Hill-Climber for Multi-Objective Pseudo-Boolean Optimization. CoRR Francisco Chicano, L. Darrell Whitley, Renato Tinós
2016	A	`conf`	Tunnelling Crossover Networks for the Asymmetric TSP. PPSN Nadarajen Veerapen, Gabriela Ochoa, Renato Tinós, L. Darrell Whitley
2015	J	`jnl`	A multiobjective approach to the genetic code adaptability problem. BMC Bioinform. Lariza Laura de Oliveira, Paulo de Oliveira, Renato Tinós
2015	J	`jnl`	Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning. CoRR L. Darrell Whitley, Renato Tinós, Francisco Chicano
2015	A	`conf`	Partition Crossover for Pseudo-Boolean Optimization. FOGA Renato Tinós, L. Darrell Whitley, Francisco Chicano
2015	A	`conf`	Tunnelling Crossover Networks. GECCO Gabriela Ochoa, Francisco Chicano, Renato Tinós, L. Darrell Whitley
2014	—	`conf`	An Evolving Artificial Neural Network for the Investigation of Rat Exploratory Behavior. BRACIS Ariadne de Andrade Costa, Renato Tinós
2014	J	`jnl`	Analysis of fitness landscape modifications in evolutionary dynamic optimization. Inf. Sci. Renato Tinós, Shengxiang Yang
2014	J	`jnl`	Entropy-based evaluation function in a multi-objective approach for the investigation of the genetic code robustness. Memetic Comput. Lariza Laura de Oliveira, Renato Tinós
2014	A	`conf`	Generalized asymmetric partition crossover (GAPX) for the asymmetric TSP. GECCO Renato Tinós, L. Darrell Whitley, Gabriela Ochoa
2014	A	`conf`	Use of explicit memory in the dynamic traveling salesman problem. GECCO Renato Tinós, L. Darrell Whitley, Adele E. Howe
2013	J	`jnl`	Use of self-organizing suppression and q-Gaussian mutation in artificial immune systems. Int. J. Intell. Comput. Cybern. Helder K. Shimo, Renato Tinós
2013	—	`conf`	Using Base Position Errors in an Entropy-Based Evaluation Function for the Study of Genetic Code Adaptability. NICSO Lariza Laura de Oliveira, Renato Tinós
2013	—	`conf`	Using explicit averaging fitness for studying the behaviour of rats in a maze. ECAL Ariadne A. Costa, Patrícia A. Vargas, Renato Tinós
2012	C	`conf`	A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze. IDEAL Ariadne A. Costa, Antônio Carlos Roque-da-Silva, Silvio Morato, Renato Tinós
2012	—	`conf`	Analysing fitness landscape changes in evolutionary robots. GECCO (Companion) Renato Tinós
2012	—	`conf`	Entropy-based evaluation function for the investigation of genetic code adaptability. BCB Lariza Laura de Oliveira, Renato Tinós
2012	J	`jnl`	Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records. J. Medical Syst. Juliana Tarossi Pollettini, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós, José Augusto Baranauskas, Alessandra A. Macedo
2011	J	`jnl`	Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. Int. J. Hybrid Intell. Syst. Renato Tinós, Shengxiang Yang
2011	J	`jnl`	Use of the Soft Comput. Renato Tinós, Shengxiang Yang
2010	—	`conf`	An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. PPSN (1) Renato Tinós, Shengxiang Yang
2010	—	`conf`	Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems. SBRN Renato Tinós, Shengxiang Yang
2010	—	`conf`	Use of Evolutionary Robots as an Auxiliary Tool for Developing Behavioral Models of Rats in an Elevated Plus-Maze. SBRN Helder K. Shimo, Antônio Carlos Roque-da-Silva, Renato Tinós, Julian Tejada, Silvio Morato
2009	—	`conf`	A Software Architecture-Based Framework Supporting Suggestion of Medical Surveillance Level from Classification of Electronic Patient Records. CSE (1) Juliana Tarossi Pollettini, Flávia P. Nicolas, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós, José Augusto Baranauskas, Alessandra Alaniz Macedo
2009	A	`conf`	Control of the number of random imigrants in genetic algorithms for protein structure prediction. GECCO Vinicius Tragante do Ó, Renato Tinós
2009	—	`ch.`	Use of the q-Gaussian Function in Radial Basis Function Networks. Foundations of Computational Intelligence (5) Renato Tinós, Luiz Otávio Murta Júnior
2008	B	`conf`	Evolutionary programming with q-Gaussian mutation for dynamic optimization problems. IEEE Congress on Evolutionary Computation Renato Tinós, Shengxiang Yang
2008	B	`conf`	Hyper-selection in dynamic environments. IEEE Congress on Evolutionary Computation Shengxiang Yang, Renato Tinós
2008	—	`conf`	Selection of Radial Basis Functions via Genetic Algorithms in Pattern Recognition Problems. SBRN Renato Tinós, Luiz Otávio Murta Júnior
2007	J	`jnl`	A hybrid immigrants scheme for genetic algorithms in dynamic environments. Int. J. Autom. Comput. Shengxiang Yang, Renato Tinós
2007	J	`jnl`	A self-organizing random immigrants genetic algorithm for dynamic optimization problems. Genet. Program. Evolvable Mach. Renato Tinós, Shengxiang Yang
2007	B	`conf`	Continuous dynamic problem generators for evolutionary algorithms. IEEE Congress on Evolutionary Computation Renato Tinós, Shengxiang Yang
2007	—	`ch.`	Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments. Evolutionary Computation in Dynamic and Uncertain Environments Renato Tinós, Shengxiang Yang
2007	B	`conf`	Self-adaptation of mutation distribution in evolutionary algorithms. IEEE Congress on Evolutionary Computation Renato Tinós, Shengxiang Yang
2006	J	`jnl`	Motion and force control of cooperative robotic manipulators with passive joints. IEEE Trans. Control. Syst. Technol. Renato Tinós, Marco H. Terra, João Yoshiyuki Ishihara
2006	J	`jnl`	Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. Neurocomputing Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho
2005	B	`conf`	Genetic algorithms with self-organized criticality for dynamic optimization problems. Congress on Evolutionary Computation Renato Tinós, Shengxiang Yang
2004	B	`conf`	A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems. IEEE Congress on Evolutionary Computation Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho
2002	C	`conf`	Control of cooperative manipulators with passive joints. ACC Renato Tinós, Marco Henrique Terra
2002	A*	`conf`	Fault Tolerance in Cooperative Manipulators. ICRA Renato Tinós, Marco H. Terra, Marcel Bergerman
2002	B	`conf`	Free-swinging and locked joint fault detection and isolation in cooperative manipulators. ESANN Renato Tinós, Marco H. Terra
2001	J	`jnl`	Fault detection and isolation in robotic manipulators via neural networks: A comparison among three architectures for residual analysis. J. Field Robotics Marco Henrique Terra, Renato Tinós
2001	A	`conf`	Fault tolerant localization for teams of distributed robots. IROS Renato Tinós, Luis E. Navarro-Serment, Christiaan J. J. Paredis
1998	—	`conf`	Fault Detection and Isolation in Robotic Manipulators and the Radial Basis Function Network Trained by the Kohonen's Self-Organizing Map. SBRN Renato Tinós, Marco H. Terra
1998	B	`conf`	Fault detection and isolation for robotic systems using a multilayer perceptron and a radial basis function network. SMC Marco Henrique Terra, Renato Tinós