2017 Brazilian Conference on Intelligent Systems (BRACIS 2017)

Transcription

1 2017 Brazilian Conference on Intelligent Systems (BRACIS 2017) Uberlandia, Brazil 2-5 October 2017 IEEE Catalog Number: ISBN: CFP17BAA-POD

2 Copyright 2017 by the Institute of Electrical and Electronics Engineers, Inc. All Rights Reserved Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA For other copying, reprint or republication permission, write to IEEE Copyrights Manager, IEEE Service Center, 445 Hoes Lane, Piscataway, NJ All rights reserved. *** This is a print representation of what appears in the IEEE Digital Library. Some format issues inherent in the e-media version may also appear in this print version. IEEE Catalog Number: CFP17BAA-POD ISBN (Print-On-Demand): ISBN (Online): Additional Copies of This Publication Are Available From: Curran Associates, Inc 57 Morehouse Lane Red Hook, NY USA Phone: (845) Fax: (845) curran@proceedings.com Web:

3 2017 Brazilian Conference on Intelligent Systems BRACIS 2017 Table of Contents Message from General Chair...xiii Message from Program Chairs...xiv Conference Organization...xv Steering Committee...xvi Program Committee...xvii Reviewers...xxi Acknowledgments...xxv Machine Learning and Data Mining I Correcting Inconsistencies through Association Rules in Temporal Large Growing Knowledge Bases...1 Rafael Garcia Leonel Miani and Estevam Rafael Hruschka Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks...7 Matheus Alves, Ana L. C. Bazzan, and Mariana Recamonde-Mendoza Analyzing the Public Opinion on the Brazilian Political and Corruption Issues...13 Ricardo A. Rios, Caio S. Lopes, Fabio H. G. Sikansi, Paulo A. Pagliosa, and Rodrigo F. de Mello DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack...19 Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, and Sylvio Barbon On Using Sum-Product Networks for Multi-label Classification...25 Julissa Villanueva Llerena and Denis Deratani Mauá RegK-Means: A Clustering Algorithm Using Spatial Contiguity Constraints for Regionalization Problems...31 Leandro Miranda, José Viterbo Filho, and Flavia Cristina Bernardini v

4 Machine Learning and Data Mining II HSS: Compact Set of Partitions via Hybrid Selection...37 Vanessa Antunes, Katti Faceli, and Tiemi Christine Sakata Quantification in Data Streams: Initial Results...43 André G. Maletzke, Denis M. dos Reis, and Gustavo E.A.P.A. Batista PELESent: Cross-Domain Polarity Classification Using Distant Supervision...49 Edilson Anselmo Corrêa, Vanessa Queiroz Marinho, Leandro Borges dos Santos, Thales Felipe Costa Bertaglia, Marcos Vinícius Treviso, and Henrico Bertini Brum Investigating the Impact of Similarity Metrics in an Unsupervised-Based Feature Selection Method...55 Carine A. Dantas, Rômulo de O. Nunes, and Anne M. P. Canuto e João Carlos Xavier Efficient Gaussian Process-Based Inference for Modelling Spatio-Temporal Dengue Fever...61 Julio Albinati, Wagner Meira, Gisele L. Pappa, and Andrew G. Wilson A Fuzzy Variant for On-Demand Data Stream Classification...67 Tiago Pinho da Silva, Gerson Antônio Urban, Priscilla de Abreu Lopes, and Heloísa de Arruda Camargo Machine Learning and Data Mining III An Enactive Self-Model for Sparse Representations and Improved Performance...73 Justin Brody A Hybrid Semi-linear System for Time Series Forecasting...79 Joao Fausto Lorenzato de Oliveira, Emanoel Francisco Sposito Barreiros, Cleyton Mario de Oliveira Rodrigues, and Adauto Trigueiro de Almeida Filho Acoustic Modeling Using a Shallow CNN-HTSVM Architecture...85 Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo F. de Mello, and Sandra Maria Aluisio Complexity Measures Effectiveness in Feature Selection...91 Lucas Chesini Okimoto, Ricardo Manhães Savii, and Ana Carolina Lorena Non-unitary Quantum Associative Memory...97 Fernando Maciano de Paula Neto, Adenilton José da Silva, Wilson Rosa de Oliveira, and Teresa Bernarda Ludermir vi

5 Planning and Scheduling Improving Multi-agent Planning with Unsolvability and Independent Plan Detection Leonardo Henrique Moreira and Célia Ghedini Ralha Risk-Sensitive Markov Decision Process with Limited Budget Daniel Augusto de Melo Moreira, Karina Valdivia Delgado, and Leliane Nunes de Barros Stochastic Cellular Automata Model to Reduce Rule Space Cardinality Applied to Task Scheduling with Many Processors Tiago Ismailer de Carvalho and Gina Maira Barbosa de Oliveira Web Service Composition: An Agent-Based Approach Jhonatan Alves and Jerusa Marchi Agent-Based and Multi-agent Systems Resolving Resource Incompatibilities in Intelligent Agents Mariela Morveli Espinoza, Ayslan Trevizan Possebom, and César Augusto Tacla A Dynamic Preference Logic for Reasoning about Agent Programming Marlo Souza, Álvaro Moreira, Renata Vieira, and John-Jules Ch. Meyer Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem Ricardo Grunitzki and Ana L. C. Bazzan Learning-Process Evaluation to Select Spatial Abstractions in Reinforcement Learning Cleiton Alves da Silva and Valdinei Freire Improving Reinforcement Learning Results with Qualitative Spatial Representation Thiago Pedro Donadon Homem, Danilo Hernani Perico, Paulo Eduardo Santos, Anna Helena Reali Costa, and Reinaldo Augusto da Costa Bianchi Use of Conceptual Representations Based on Conceptual Spaces Theory Applied to BDI Agents João Mário Lopes Brezolin, Sandro Rama Fiorini, Márcia de Borba Campos, and Rafael H. Bordini Deep Learning / Neural Networks Neural Networks Architecture Evaluation in a Quantum Computer Adenilton José da Silva and Rodolfo Luan Franco de Oliveira vii

6 Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting Andrés Bueno, Guilherme Palermo Coelho, and João Roberto Bertini On the Entanglement Dynamics of the Quantum Weightless Neuron Fernando Maciano de Paula Neto, Wilson Rosa de Oliveira, Adenilton José da Silva, and Teresa Bernarda Ludermir Multi-objective Long-Short Term Memory Neural Networks for Speaker Diarization in Telephone Interactions Valter Akira Miasato Filho, Diego Augusto Silva, and Luis Gustavo D. Cuozzo Continuous-Valued Quaternionic Hopfield Neural Network for Image Retrieval: A Color Space Study Fidelis Zanetti de Castro and Marcos Eduardo Valle Deep Neural Networks for Handwritten Chinese Character Recognition Renan Guedes Maidana, Juarez Monteiro dos Santos, Roger Leitzke Granada, Alexandre de Morais Amory, and Rodrigo Coelho Barros Applications I Relevance Image Sampling from Collection Using Importance Selection on Randomized Optimum-Path Trees Moacir Antonelli Ponti Using X-Ray Flux Time Series for Solar Explosion Forecasting Ismael Caldana, Ana Estela Antunes da Silva, Guilherme Palermo Coelho, and André Leon S. Gradvohl Artificial Neural Networks and Infrared Thermography for Fiber Orientation Assessment Henrique Coelho Fernandes, Hai Zhang, Clemente Ibarra-Castanedo, and Xavier Maldague Controlling Gene Regulatory Networks with FQI-SARSA Cyntia Eico Hayama Nishida, Anna Helena Reali Costa, and Reinaldo Augusto da Costa Bianchi Predicting Failures in Hard Drives with LSTM Networks Fernando Dione dos Santos Lima, Gabriel Maia Rocha Amaral, Lucas Gonçalves de Moura Leite, João Paulo Pordeus Gomes, and Javam de Castro Machado Transfer Learning for Bayesian Networks with Application on Hard Disk Drives Failure Prediction Francisco Lucas Falcão Pereira, Fernando Dione dos Santos Lima, Lucas Gonçalves de Moura Leite, João Paulo Pordeus Gomes, and Javam de Castro Machado viii

7 Applications II A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition Carlos R. G. Junior, Pedro H. Gomes, Leandro Y. Mano, Rone B. de Oliveira, André C. P. de L. F. de Carvalho, and Bruno S. Faiçal A Novel Procedure for Classification of Early Human Actions from EEG Signals Schubert Ribeiro de Carvalho, Iraquitan Cordeiro Filho, Damares Crystina Oliveira de Resende, Ana Carolina Quintão Siravenha, Bianchi Serique Meiguins, Henrique Galvan Debarba, and Bruno Duarte Gomes An Occupancy Grid Map Merging Algorithm Invariant to Scale, Rotation and Translation Victor Terra Ferrão, Cássio Dener Noronha Vinhal, and Gelson da Cruz Blind Image Quality Assessment Using Local Variant Patterns Pedro Garcia Freitas, Welington Yorihiko Lima Akamine, and Mylène Christine Queiroz de Farias Fractal Dimension-Based Drosophila Melanogaster Wing Genotype Classification Francisco Gerardo Medeiros Neto and Iális Cavalcante de Paula A Method to Detect Boats in Images of the Amazonian Rivers Michel Marialva Yvano, Bernardo Bentes Gatto, and Eulanda Miranda dos Santos Evolutionary Computation and Metaheuristics Investigating Grammar-Based Design of Multi-objective Particle Swarm Optimization Algorithm Ricardo Henrique Remes de Lima and Aurora Trinidad Ramirez Pozo A Hybrid Metaheuristic for the Traveling Car Renter Salesman Problem Brenner Humberto Ojeda Rios, Elizabeth Ferreira Gouvêa Goldbarg, and Marco Cesar Goldbarg Playing the Original Game Boy Tetris Using a Real Coded Genetic Algorithm Renan Samuel da Silva and Rafael Stubs Parpinelli A Heterogeneous Distributed Approach for Many-Objective Optimization Gian Fritsche and Aurora Pozo The Protein Structure Prediction Problem Approached by a Cascade Differential Evolution Algorithm Using ROSETTA Pedro Henrique Narloch and Rafael Stubs Parpinelli ix

8 A Comparison of Crossover Operators Applied to the Vehicle Routing Problem with Time Window Thiago Muniz Stehling and Sérgio Ricardo de Souza Pattern Recognition and Cluster Analysis A Fast and Robust Max-C Projection Fuzzy Autoassociative Memory with Application for Face Recognition Alex Santana dos Santos and Marcos Eduardo Valle Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters Gabriel Rodrigues da Silva and Marcelo Keese Albertini A Comparison of Hierarchical Biclustering Ensemble Methods Victor Alexandre Padilha and André Carlos Ponce de Leon Ferreira de Carvalho Online Detection of Outliers in Clusters of Continuous Data Streaming Mariana Alves Pereira, Elaine Ribeiro de Faria Paiva, and Murilo Coelho Naldi The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization Lucas Fernandes Brunialti, Sarajane Marques Peres, Valdinei Freire da Silva, and Clodoaldo Aparecido de Moraes Lima Scalable Data Stream Clustering with k Estimation Paulo L. Cândido, Murilo C. Naldi, Jonathan A. Silva, and Elaine R. Faria Natural Language Processing Statistical and Semantic Features to Measure Sentence Similarity in Portuguese Anderson Pinheiro Cavalcanti, Rafael Ferreira Leite de Mello, Máverick André Dionísio Ferreira, Vitor Belarmino Rolim, and João Vitor Soares Tenório Update Summarization for Portuguese Fernando Antônio Asevedo Nóbrega and Thiago Alexandre Salgueiro Pardo MilkQA: A Dataset of Consumer Questions for the Task of Answer Selection Marcelo Criscuolo, Erick Rocha Fonseca, Sandra Maria Aluísio, and Ana Carolina Sperança-Criscuolo How Difficult is the Adaptation of POS Taggers? Irving Muller Rodrigues and Eraldo Rezende Fernandes Extractive Multi-document Summarization Using Dynamical Measurements of Complex Networks Jorge Valverde Tohalino and Diego Raphael Amancio x

9 Search and Optimization Coalition Generation Scalability through Community Detection: Results on Real Graphs Fábio Sebastian Silveira and Gustavo Alberto Gimenéz Lugo An Experimental Evaluation of the Algorithm Mean Upper Heuristic for Interval Data Min-Max Regret Combinatorial Optimization Problem José Ricardo Gonçalves, Iago Augusto Carvalho, and Thiago Ferreira Noronha Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm Marcella Scoczynski Ribeiro Martins, Myriam Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, and Carolina P. de Almeida A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization Richard Aderbal Gonçalves, Carolina Paula de Almeida, Sandra Mara Guse Scos Venske, Myriam Regattieri de Biase da Silva Delgado, and Aurora Trinidad Ramirez Pozo A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique Lucas Prestes, Myriam Regattieri de Biase da Silva Delgado, Richard Aderbal Goncalves, Carolina Paula de Almeida, and Aurora Trinidad Pozo A Comparative Analysis of MOEAs Considering Two Discrete Optimization Problems Tiago Peres França, Thiago Fialho de Queiroz Lafetá, Luiz Gustavo Almeida Martins, and Gina Maira Barbosa de Oliveira Knowledge Representation and Reasoning An Improved Logic-Based Implementation to Ontology Assessment Cleyton Mário de Oliveira Rodrigues, Frederico Luiz Gonçalves de Freitas, and Ryan Ribeiro de Azevedo An Ontological Approach to the Three-Phase Method of Imposing Penalties in the Brazilian Criminal Code Cleyton Mário de Oliveira Rodrigues, Frederico Luiz Goncalves de Freitas, and Italo Jose da Silva Oliveira Iterated Belief Change the Case of Expansion Into Inconsistency Eduardo Fermé and Renata Wassermann University Entrance Exam as a Guiding Test for Artificial Intelligence Igor Cataneo Silveira and Denis Deratani Mauá xi

10 Experimental Evaluation of Crowdsourcing on the Characterization of Data Visualization Techniques Geraldo Ribeiro Franciscani, Rodrygo Santos, Michel Boaventura, Pedro Dalla Bernardina, Wagner Meira, and Raquel Cardoso de Melo Minardi Author Index xii