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9th BRACIS 2020: Rio Grande, Brazil - Part II
- Ricardo Cerri, Ronaldo C. Prati:
Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12320, Springer 2020, ISBN 978-3-030-61379-2
Agent and Multi-agent Systems, Planning and Reinforcement Learning
- Alison R. Panisson, Rafael H. Bordini, Antônio Carlos da Rocha Costa:
A Multi-level Approach to the Formal Semantics of Agent Societies. 3-17 - Frederico José Dias Möller, Heder Soares Bernardino, Luciana Brugiolo Gonçalves, Stênio Sã Rosário Furtado Soares:
A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits. 18-32 - Fábio Aiub Sperotto, Marilton Sanchotene de Aguiar:
AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems. 33-46 - Mariela Morveli Espinoza, Cesar A. Tacla, Henrique M. R. Jasinski:
An Argumentation-Based Approach for Explaining Goals Selection in Intelligent Agents. 47-62 - Igor Avila Pereira, Lisane B. de Brisolara, Paulo Roberto Ferreira Jr.:
Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraint Optimization Problems. 63-76 - Matheus Santos Araújo, Thayanne F. da Silva, Vinícius A. Sampaio, Gabriel F. L. Melo, Raimundo Juracy Campos Ferro Junior, Leonardo Ferreira da Costa, João P. B. Andrade, Gustavo A. L. de Campos:
Cooperative Observation of Smart Target Agents. 77-92 - Milton Condori Fernandez, Leliane N. de Barros, Denis Deratani Mauá, Karina Valdivia Delgado, Valdinei Freire:
Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning. 93-107 - Renato Scaroni, Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá:
On the Performance of Planning Through Backpropagation. 108-122 - Elthon Manhas de Freitas, Valdinei Freire, Karina Valdivia Delgado:
Risk Sensitive Stochastic Shortest Path and LogSumExp: From Theory to Practice. 123-139 - Ana Carolina L. C. Queiroz, Heder S. Bernardino, Alex Borges Vieira, Helio J. C. Barbosa:
Solving Multi-Agent Pickup and Delivery Problems Using a Genetic Algorithm. 140-153 - Ricardo Arend Machado, Eder Mateus Nunes Gonçalves:
Testing Multiagent Systems Under Organizational Model Moise Using a Test Adequacy Criterion Based on State Transition Path. 154-168
Knowledge Representation, Logic and Fuzzy Systems
- Andre Luis Cristiani, Tiago Pinho da Silva, Heloisa de Arruda Camargo:
A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency. 171-186 - Giancarlo Lucca, Eduardo N. Borges, Hélida Salles Santos, Graçaliz Pereira Dimuro, Tiago da Cruz Asmus, José Antonio Sanz, Humberto Bustince:
A Fuzzy Reasoning Method Based on Ensembles of Generalizations of the Choquet Integral. 187-200 - Miriam Oliveira dos Santos, Carlos Eduardo Ribeiro de Mello, Tadeu Moreira de Classe:
A Useful Tool to Support the Ontology Alignment Repair. 201-215 - Henrique Viana, João F. L. Alcântara:
Aggregation with Weak, Axiological and Strong Sufficientarian Functions. 216-230 - Frederico B. Tiggemann, Bryan Stefan Galani Pernambuco, Giancarlo Lucca, Eduardo N. Borges, Hélida Salles Santos, Graçaliz Pereira Dimuro, José Antonio Sanz, Humberto Bustince:
An Alternative to Power Measure for Fuzzy Rule-Based Classification Systems. 231-244 - Elidiane Pereira do Nascimento, Tatiane Nogueira:
FT-BlinGui: A Fuzzy-Based Wearable Device System to Avoid Visually Impaired Collision in Real Time. 245-258 - Allen Hichard Marques Santos, Matheus Giovanni Pires, Fabiana Cristina Bertoni:
Genetic Learning Analysis of Fuzzy Rule-Based Classification Systems Considering Data Reduction. 259-271 - Marlo Souza:
Towards a Theory of Hyperintensional Belief Change. 272-287
Machine Learning and Data Mining
- Adriano Barreto, Igor Moreira, Caio Flexa, Eduardo Cardoso, Claudomiro Sales:
An Online Pyramidal Embedding Technique for High Dimensional Big Data Visualization. 291-306 - Juliana Barcellos Mattos, Eraylson G. Silva, Paulo S. G. de Mattos Neto, Renato Vimieiro:
Exceptional Survival Model Mining. 307-321 - Luan V. C. Martins, Liang Zhao:
Particle Competition for Unbalanced Community Detection in Complex Networks. 322-336 - Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors. 337-351 - Cephas A. S. Barreto, Arthur C. Gorgônio, Anne M. P. Canuto, João Carlos Xavier Jr.:
A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods. 352-366 - Vinicius Eiji Martins, Victor G. Turrisi da Costa, Sylvio Barbon Junior:
Active Learning Embedded in Incremental Decision Trees. 367-381 - Argus A. B. Cavalcante, Cláudia Marcela Justel, Ronaldo R. Goldschmidt:
Link Prediction in Social Networks: An Edge Creation History-Retrieval Based Method that Combines Topological and Contextual Data. 382-396 - Tiago Colliri, Alexandre C. B. Delbem, Liang Zhao:
Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network. 397-411 - Lucas Felipe Ferraro Cardoso, Vitor Cirilo Araujo Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Decoding Machine Learning Benchmarks. 412-425 - Caio Luiggy Riyoichi Sawada Ueno, Igor Braga, Diego Furtado Silva:
Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification. 426-441 - Rodolfo Anibal Lobo, Marcos Eduardo Valle:
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories. 442-455 - Laura Maria Palomino Mariño, Agustín Alejandro Ortiz Díaz, Germano Crispim Vasconcelos:
Comparative Study of Fast Stacking Ensembles Families Algorithms. 456-470 - Clóvis Daniel Souza Silva, Leonardo Ferreira da Costa, Leonardo Sampaio Rocha, Gerardo Valdisio Rodrigues Viana:
KNN Applied to PDG for Source Code Similarity Classification. 471-482 - José L. M. Arruda, Ricardo B. C. Prudêncio, Ana Carolina Lorena:
Measuring Instance Hardness Using Data Complexity Measures. 483-497 - Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho:
Simulating Complexity Measures on Imbalanced Datasets. 498-512 - Agustín Alejandro Ortiz Díaz, Flavio Roberto Bayer, Fabiano Baldo:
SSL-C4.5: Implementation of a Classification Algorithm for Semi-supervised Learning Based on C4.5. 513-525
Multidisciplinary Artificial and Computational Intelligence and Applications
- Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello:
Data Streams Are Time Series: Challenging Assumptions. 529-543 - Clarissa Rodrigues, William da Rosa Fröhlich, Amanda G. Jabroski, Sandro José Rigo, Andreia Rodrigues, Elisa Kern de Castro:
Evaluating a New Approach to Data Fusion in Wearable Physiological Sensors for Stress Monitoring. 544-557 - Renan de Luca Avila, Glauber De Bona:
Financial Time Series Forecasting via CEEMDAN-LSTM with Exogenous Features. 558-572 - Camila P. S. Tautenhain, Calvin Rodrigues da Costa, Mariá C. V. Nascimento:
Improved Multilevel Algorithm to Detect Communities in Flight Networks. 573-587 - Bruna de Vargas Guterres, Je Nam Jun Junior, Amanda da Silveira Guerreiro, Viviane B. Fonseca, Silvia S. C. Botelho, Juliana Zomer Sandrini:
Intelligent Classifiers on the Construction of Pollution Biosensors Based on Bivalves Behavior. 588-603 - Aldísio Gonçalves Medeiros, Lucas de O. Santos, Róger Moura Sarmento, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho:
New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography Image. 604-618 - Luis G. S. Centeleghe, William da Rosa Fröhlich, Sandro José Rigo:
Parallel Monte Carlo Tree Search in General Video Game Playing. 619-633 - Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão, Sylvio Barbon Junior:
Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects. 634-649 - Victor M. G. dos Santos, Rodrigo Fernandes de Mello, Tatiane Nogueira, Ricardo Araújo Rios:
Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection. 650-664 - André D. C. M. de Oliveira, Pedro F. A. Pinto, Sérgio Colcher:
Stocks Clustering Based on Textual Embeddings for Price Forecasting. 665-678
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