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ORCID6th BRACIS 2017: Uberlândia, Brazil
- 2017 Brazilian Conference on Intelligent Systems, BRACIS 2017, Uberlândia, Brazil, October 2-5, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2407-4
Machine Learning and Data Mining I
- Rafael Garcia Leonel Miani, Estevam Rafael Hruschka Junior:
Correcting Inconsistencies through Association Rules in Temporal Large Growing Knowledge Bases. 1-6 - Matheus Alves, Ana L. C. Bazzan, Mariana Recamonde Mendoza
:
Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks. 7-12 - Ricardo Araújo Rios, Caio S. Lopes, Fabio H. G. Sikansi, Paulo A. Pagliosa, Rodrigo Fernandes de Mello:
Analyzing the Public Opinion on the Brazilian Political and Corruption Issues. 13-18 - Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon:
DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. 19-24 - Julissa Villanueva Llerena, Denis Deratani Mauá:
On Using Sum-Product Networks for Multi-label Classification. 25-30 - Leandro Miranda, José Viterbo Filho, Flávia Cristina Bernardini:
RegK-Means: A Clustering Algorithm Using Spatial Contiguity Constraints for Regionalization Problems. 31-36
Machine Learning and Data Mining II
- Vanessa Antunes, Katti Faceli, Tiemi Christine Sakata:
HSS: Compact Set of Partitions via Hybrid Selection. 37-42 - André Gustavo Maletzke, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista:
Quantification in Data Streams: Initial Results. 43-48 - Edilson Anselmo Corrêa Júnior, Vanessa Queiroz Marinho, Leandro Borges dos Santos, Thales Felipe Costa Bertaglia, Marcos Vinícius Treviso, Henrico Bertini Brum:
PELESent: Cross-Domain Polarity Classification Using Distant Supervision. 49-54 - Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr.:
Investigating the Impact of Similarity Metrics in an Unsupervised-Based Feature Selection Method. 55-60 - Julio Albinati, Wagner Meira Jr., Gisele L. Pappa, Andrew Gordon Wilson:
Efficient Gaussian Process-Based Inference for Modelling Spatio-Temporal Dengue Fever. 61-66 - Tiago Pinho da Silva, Gerson Antonio Urban, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
A Fuzzy Variant for On-Demand Data Stream Classification. 67-72
Machine Learning and Data Mining III
- Justin Brody:
An Enactive Self-Model for Sparse Representations and Improved Performance. 73-78 - João Fausto Lorenzato de Oliveira, Emanoel Francisco Spósito Barreiros, Cleyton Mário de Oliveira Rodrigues, Adauto Trigueiro de Almeida Filho:
A Hybrid Semi-linear System for Time Series Forecasting. 79-84 - Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio:
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. 85-90 - Lucas Chesini Okimoto, Ricardo Manhães Savii, Ana Carolina Lorena:
Complexity Measures Effectiveness in Feature Selection. 91-96 - Fernando Maciano de Paula Neto, Adenilton José da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Non-unitary Quantum Associative Memory. 97-102
Planning and Scheduling
- Leonardo Henrique Moreira, Célia Ghedini Ralha:
Improving Multi-agent Planning with Unsolvability and Independent Plan Detection. 103-108 - Daniel Augusto de Melo Moreira, Karina Valdivia Delgado, Leliane Nunes de Barros:
Risk-Sensitive Markov Decision Process with Limited Budget. 109-114 - Tiago Ismailer de Carvalho, Gina Maira Barbosa de Oliveira:
Stochastic Cellular Automata Model to Reduce Rule Space Cardinality Applied to Task Scheduling with Many Processors. 115-120 - Jhonatan Alves, Jerusa Marchi:
Web Service Composition: An Agent-Based Approach. 121-126
Agent-Based and Multi-agent Systems
- Mariela Morveli Espinoza, Ayslan Trevizan Possebom, Cesar Augusto Tacla:
Resolving Resource Incompatibilities in Intelligent Agents. 127-132 - Marlo Souza, Álvaro F. Moreira, Renata Vieira, John-Jules Ch. Meyer:
A Dynamic Preference Logic for Reasoning about Agent Programming. 133-138 - Ricardo Grunitzki, Ana L. C. Bazzan:
Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem. 139-144 - Cleiton Alves da Silva, Valdinei Freire:
Learning-Process Evaluation to Select Spatial Abstractions in Reinforcement Learning. 145-150 - Thiago Pedro Donadon Homem, Danilo Hernani Perico, Paulo Eduardo Santos, Anna Helena Reali Costa, Reinaldo Augusto da Costa Bianchi:
Improving Reinforcement Learning Results with Qualitative Spatial Representation. 151-156 - João Mario Lopes Brezolin, Sandro Rama Fiorini, Márcia de Borba Campos, Rafael H. Bordini:
Use of Conceptual Representations Based on Conceptual Spaces Theory Applied to BDI Agents. 157-162
Deep Learning / Neural Networks
- Adenilton José da Silva, Rodolfo Luan Franco de Oliveira:
Neural Networks Architecture Evaluation in a Quantum Computer. 163-168 - Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Jr.:
Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting. 169-174 - Fernando Maciano de Paula Neto, Wilson Rosa de Oliveira, Adenilton José da Silva, Teresa Bernarda Ludermir:
On the Entanglement Dynamics of the Quantum Weightless Neuron. 175-180 - Valter Akira Miasato Filho, Diego Augusto Silva, Luis Gustavo D. Cuozzo:
Multi-objective Long-Short Term Memory Neural Networks for Speaker Diarization in Telephone Interactions. 181-185 - Fidelis Zanetti de Castro, Marcos Eduardo Valle:
Continuous-Valued Quaternionic Hopfield Neural Network for Image Retrieval: A Color Space Study. 186-191 - Renan Guedes Maidana, Juarez Monteiro dos Santos, Roger Leitzke Granada, Alexandre de Morais Amory, Rodrigo Coelho Barros:
Deep Neural Networks for Handwritten Chinese Character Recognition. 192-197
Applications I
- Moacir Antonelli Ponti:
Relevance Image Sampling from Collection Using Importance Selection on Randomized Optimum-Path Trees. 198-203 - Ismael Caldana, Ana Estela Antunes da Silva, Guilherme Palermo Coelho, André Leon S. Gradvohl:
Using X-Ray Flux Time Series for Solar Explosion Forecasting. 204-209 - Henrique Coelho Fernandes, Hai Zhang, Clemente Ibarra-Castanedo, Xavier Maldague:
Artificial Neural Networks and Infrared Thermography for Fiber Orientation Assessment. 210-215 - Cyntia Eico Hayama Nishida, Anna Helena Reali Costa, Reinaldo Augusto da Costa Bianchi:
Controlling Gene Regulatory Networks with FQI-SARSA. 216-221 - Fernando Dione dos Santos Lima, Gabriel Maia Rocha Amaral, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam de Castro Machado:
Predicting Failures in Hard Drives with LSTM Networks. 222-227 - Francisco Lucas Falcao Pereira, Fernando Dione dos Santos Lima, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam de Castro Machado:
Transfer Learning for Bayesian Networks with Application on Hard Disk Drives Failure Prediction. 228-233
Applications II
- Carlos R. G. Junior, Pedro Henrique Gomes, Leandro Y. Mano, Rone B. de Oliveira, André Carlos Ponce de Leon Ferreira de Carvalho, Bruno S. Faiçal:
A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition. 234-239 - Schubert Ribeiro de Carvalho, Iraquitan Cordeiro Filho, Damares Crystina Oliveira de Resende, Ana Carolina Quintao Siravenha, Bianchi Serique Meiguins, Henrique Galvan Debarba, Bruno Duarte Gomes:
A Novel Procedure for Classification of Early Human Actions from EEG Signals. 240-245 - Victor Terra Ferrão, Cássio Dener Noronha Vinhal, Gelson da Cruz:
An Occupancy Grid Map Merging Algorithm Invariant to Scale, Rotation and Translation. 246-251 - Pedro Garcia Freitas, Welington Yorihiko Lima Akamine, Mylène Christine Queiroz de Farias:
Blind Image Quality Assessment Using Local Variant Patterns. 252-257 - Francisco Gerardo Medeiros Neto, Ialis Cavalcante de Paula:
Fractal Dimension-Based Drosophila Melanogaster Wing Genotype Classification. 258-263 - Michel Marialva Yvano, Bernardo Bentes Gatto, Eulanda Miranda dos Santos:
A Method to Detect Boats in Images of the Amazonian Rivers. 264-269
Evolutionary Computation and Metaheuristics
- Ricardo Henrique Remes de Lima, Aurora Trinidad Ramirez Pozo:
Investigating Grammar-Based Design of Multi-objective Particle Swarm Optimization Algorithm. 270-275 - Brenner Humberto Ojeda Rios, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
A Hybrid Metaheuristic for the Traveling Car Renter Salesman Problem. 276-281 - Renan Samuel da Silva, Rafael Stubs Parpinelli:
Playing the Original Game Boy Tetris Using a Real Coded Genetic Algorithm. 282-287 - Gian Mauricio Fritsche, Aurora Trinidad Ramirez Pozo:
A Heterogeneous Distributed Approach for Many-Objective Optimization. 288-293 - Pedro Henrique Narloch, Rafael Stubs Parpinelli:
The Protein Structure Prediction Problem Approached by a Cascade Differential Evolution Algorithm Using ROSETTA. 294-299 - Thiago Muniz Stehling, Sérgio Ricardo de Souza:
A Comparison of Crossover Operators Applied to the Vehicle Routing Problem with Time Window. 300-305
Pattern Recognition and Cluster Analysis
- Alex Santana dos Santos, Marcos Eduardo Valle:
A Fast and Robust Max-C Projection Fuzzy Autoassociative Memory with Application for Face Recognition. 306-311 - Gabriel Rodrigues da Silva, Marcelo Keese Albertini:
Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters. 312-317 - Victor Alexandre Padilha, André Carlos Ponce de Leon Ferreira de Carvalho:
A Comparison of Hierarchical Biclustering Ensemble Methods. 318-323 - Mariana Alves Pereira, Elaine Ribeiro de Faria Paiva, Murilo Coelho Naldi:
Online Detection of Outliers in Clusters of Continuous Data Streaming. 324-329 - Lucas Fernandes Brunialti, Sarajane Marques Peres, Valdinei Freire da Silva, Clodoaldo Aparecido de Moraes Lima:
The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization. 330-335 - Paulo G. L. Candido, Murilo Coelho Naldi, Jonathan de Andrade Silva, Elaine R. Faria:
Scalable Data Stream Clustering with k Estimation. 336-341
Natural Language Processing
- Anderson Pinheiro Cavalcanti, Rafael Ferreira Leite de Mello, Maverick Andre Dionisio Ferreira, Vitor Belarmino Rolim, Joao Vitor Soares Tenorio:
Statistical and Semantic Features to Measure Sentence Similarity in Portuguese. 342-347 - Fernando Antônio Asevedo Nóbrega, Thiago Alexandre Salgueiro Pardo:
Update Summarization for Portuguese. 348-353 - Marcelo Criscuolo, Erick Rocha Fonseca, Sandra Maria Aluísio, Ana Carolina Sperança-Criscuolo:
MilkQA: A Dataset of Consumer Questions for the Task of Answer Selection. 354-359 - Irving Muller Rodrigues, Eraldo Rezende Fernandes:
How Difficult is the Adaptation of POS Taggers? 360-365 - Jorge Valverde Tohalino, Diego Raphael Amancio:
Extractive Multi-document Summarization Using Dynamical Measurements of Complex Networks. 366-371
Search and Optimization
- Fabio Sebastian Silveira, Gustavo Alberto Giménez Lugo:
Coalition Generation Scalability through Community Detection: Results on Real Graphs. 372-377 - Jose Ricardo Goncalves, Iago A. Carvalho, Thiago Ferreira Noronha:
An Experimental Evaluation of the Algorithm Mean Upper Heuristic for Interval Data Min-Max Regret Combinatorial Optimization Problem. 378-383 - 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. 384-389 - 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. 390-395 - 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. 396-401 - Tiago Peres França, Thiago Fialho de Queiroz Lafetá, Luiz Gustavo Almeida Martins, Gina Maira Barbosa de Oliveira:
A Comparative Analysis of MOEAs Considering Two Discrete Optimization Problems. 402-407
Knowledge Representation and Reasoning
- Cleyton Mário de Oliveira Rodrigues, Frederico Luiz Gonçalves de Freitas, Ryan Ribeiro de Azevedo:
An Improved Logic-Based Implementation to Ontology Assessment. 408-413 - Cleyton Mário de Oliveira Rodrigues, Frederico Luiz Gonçalves de Freitas, Italo Jose da Silva Oliveira:
An Ontological Approach to the Three-Phase Method of Imposing Penalties in the Brazilian Criminal Code. 414-419 - Eduardo L. Fermé, Renata Wassermann:
Iterated Belief Change the Case of Expansion Into Inconsistency. 420-425 - Igor Cataneo Silveira, Denis Deratani Mauá:
University Entrance Exam as a Guiding Test for Artificial Intelligence. 426-431 - Geraldo Ribeiro Franciscani, Rodrygo L. T. Santos, Michel Boaventura, Pedro Dalla Bernardina, Wagner Meira Jr., Raquel Cardoso de Melo Minardi:
Experimental Evaluation of Crowdsourcing on the Characterization of Data Visualization Techniques. 432-437
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