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ORCID11th BRACIS 2022: Campinas, Brazil - Part I
- João Carlos Xavier Junior
, Ricardo Araújo Rios:
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13653, Springer 2022, ISBN 978-3-031-21685-5 - Alexandre Renato Rodrigues de Souza, Fabrício Neitzke Ferreira, Rodrigo Blanke Lambrecht, Leonardo Costa Reichow, Hélida Salles Santos, Renata Hax Sander Reiser, Adenauer Corrêa Yamin:
Mortality Risk Evaluation: A Proposal for Intensive Care Units Patients Exploring Machine Learning Methods. 1-14 - André Filipe de Sousa Silva, Geovana Ramos Sousa Silva, Edna Dias Canedo:
Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence. 15-29 - Arthur C. Gorgônio, Cephas A. S. Barreto, Song Jong Márcio Simioni da Costa, Anne Magály de Paula Canuto, Karliane M. O. Vale, Flavius L. Gorgônio:
An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments. 30-44 - Augusto Lopez Dantas, Aurora T. R. Pozo:
The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic. 45-60 - Claudio D. G. Linhares, Claudiney R. Tinoco, Jean R. Ponciano, Gina M. B. Oliveira, Bruno A. N. Travençolo:
A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task. 61-76 - Douglas Vitório, Ellen Souza, Lucas Martins, Nádia Félix F. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho, Adriano L. I. Oliveira:
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. 77-91 - Fernanda Maria de Souza, Julia Grando, Fabiano Baldo:
Adaptive Fast XGBoost for Regression. 92-106 - Fernando Correia Braga, Norton Trevisan Roman, Diego Falceta-Gonçalves:
The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data. 107-121 - Gabriel Maia Bezerra, Elene Firmeza Ohata, Pedro Yuri Rodrigues Nunes, Levy dos Santos Silveira, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Pedro Pedrosa Rebouças Filho:
Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements. 122-134 - Gabriel Henrique de Souza, Gabriel Faria, Luciana Paixão Motta, Heder Soares Bernardino, Alex Borges Vieira:
Feature Extraction for a Genetic Programming-Based Brain-Computer Interface. 135-149 - Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo:
Selecting Optimal Trace Clustering Pipelines with Meta-learning. 150-164 - Ivan J. Reis Filho, Luiz H. D. Martins, Antonio Rafael Sabino Parmezan, Ricardo M. Marcacini, Solange O. Rezende:
Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision. 165-179 - Jader M. Caldonazzo Garbelini, Danilo Sipoli Sanches, Aurora Trinidad Ramirez Pozo:
Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery. 180-194 - João Victor Ribeiro Ferro, José Rubens da Silva Brito, Roberta Vilhena Vieira Lopes, Evandro de Barros Costa:
Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem. 195-208 - Jonata C. Wieczynski, Giancarlo Lucca, Eduardo N. Borges, Graçaliz Pereira Dimuro:
Application of the Sugeno Integral in Fuzzy Rule-Based Classification. 209-220 - Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia:
Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment. 221-236 - Justino Santos, Vinícius P. Machado, Luciano Oliveira, Washington L. C. dos-Santos, Nayze Aldeman, Angelo Amâncio Duarte, Rodrigo Veras:
Glomerulosclerosis Identification Using a Modified Dense Convolutional Network. 237-252 - Leonardo B. de M. M. Marques, Lucas H. Ueda, Flávio Olmos Simões, Mário Uliani Neto, Fernando O. Runstein, Edson Jose Nagle, Bianca Dal Bó, Paula D. P. Costa:
Diffusion-Based Approach to Style Modeling in Expressive TTS. 253-267 - Lucas Malacarne Astore, Frederico Gadelha Guimarães, Carlos Alberto Severiano Junior:
Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods. 268-282 - Lucas F. F. Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle Pereira Mota, Ricardo B. C. Prudêncio, Ronnie C. O. Alves:
Explanation-by-Example Based on Item Response Theory. 283-297 - Lucas Gabriel Coimbra Evangelista, Rafael Giusti:
Short-and-Long-Term Impact of Initialization Functions in NeuroEvolution. 298-312 - Lucas Brazzarola Lima, Ramon Fernandes Viana, José Martins Rosa-Jr., Harlei Miguel de Arruda Leite, Guilherme Vettorazzi Vargas, Sarah Negreiros de Carvalho:
Analysis of the Influence of the MVDR Filter Parameters on the Performance of SSVEP-Based BCI. 313-324 - Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci:
A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration. 325-339 - Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators. 340-354 - Luís Fernando Bittencourt, Otávio Parraga, Duncan D. Ruiz, Isabel H. Manssour, Soraia Raupp Musse, Rodrigo C. Barros:
Leveraging Textual Descriptions for House Price Valuation. 355-369 - Pedro H. C. Avelar, Rafael Baldasso Audibert, Luís C. Lamb:
Measuring Ethics in AI with AI: A Methodology and Dataset Construction. 370-384 - Luis Moneda, Denis Deratani Mauá:
Time Robust Trees: Using Temporal Invariance to Improve Generalization. 385-397 - Luiz Henrique dos Santos Fernandes, Kate Smith-Miles, Ana Carolina Lorena:
Generating Diverse Clustering Datasets with Targeted Characteristics. 398-412 - Marlo Souza:
On AGM Belief Revision for Computational Tree Logic. 413-428 - Marlo Souza, Renata Wassermann:
Hyperintensional Models and Belief Change. 429-443 - Mateus Boiani, Rafael Stubs Parpinelli, Márcio Dorn:
A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems. 444-457 - Matheus Letzov Pelozo, Marcelo Custódio, Alison R. Panisson:
Answering Questions About COVID-19 Vaccines Using ChatBot Technologies. 458-472 - Matheus Cândido Teixeira, Gisele Lobo Pappa:
Analysis of Neutrality of AutoML Search Spaces with Local Optima Networks. 473-487 - Rafael Silva, João F. L. Alcântara:
Dealing with Inconsistencies in ASPIC+. 488-503 - Rafael F. R. Correa, Heder S. Bernardino, João Marcos de Freitas, Stênio Sã Rosário Furtado Soares, Luciana Brugiolo Gonçalves, Lorenza Leão Oliveira Moreno:
A Grammar-based Genetic Programming Hyper-Heuristic for Corridor Allocation Problem. 504-519 - Renan Cordeiro, João F. L. Alcântara:
Generalising Semantics to Weighted Bipolar Argumentation Frameworks. 520-534 - Renata Pelissari, Paulo S. C. Alencar, Sarah Ben Amor, Leonardo Tomazeli Duarte:
The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review. 535-549 - Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho:
Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules. 550-564 - Rodrigo Brandão, Cristina Oliveira, Sarajane Marques Peres, Leôncio da Silva Junior, Marco Papp, João Paulo Cândia Veiga, Rubens Beçak, Laura Camargo:
Artificial Intelligence, Algorithmic Transparency and Public Policies: The Case of Facial Recognition Technologies in the Public Transportation System of Large Brazilian Municipalities. 565-579 - Thais Rodrigues Neubauer, Valdinei Freire da Silva, Marcelo Fantinato, Sarajane Marques Peres:
Resource Allocation Optimization in Business Processes Supported by Reinforcement Learning and Process Mining. 580-595 - Thiago Figueiredo Costa, Mateus Tymburibá:
Exploitability Assessment with Genetically Tuned Interconnected Neural Networks. 596-610 - Thiago B. R. Silva, Nina I. Verslype, André C. A. Nascimento, Ricardo B. C. Prudêncio:
Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering. 611-625 - Thomas V. Fontanari, Tiago Comassetto Fróes, Mariana Recamonde Mendoza:
Cross-validation Strategies for Balanced and Imbalanced Datasets. 626-640 - Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data. 641-656
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