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BRACIS 2014: Sao Paulo, Brazil
- 2014 Brazilian Conference on Intelligent Systems, BRACIS 2014, Sao Paulo, Brazil, October 18-22, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5618-0
Session 1a - Machine Learning and Data Mining I
- Diego Silveira Costa Nascimento
, Anne M. P. Canuto, André L. V. Coelho
An Empirical Analysis of Meta-learning for the Automatic Choice of Architecture and Components in Ensemble Systems. 1-6 - Carlos Eduardo Castor de Melo, Ricardo Bastos Cavalcante Prudêncio:
Cost-Sensitive Measures of Algorithm Similarity for Meta-learning. 7-12 - Tiago Pessoa Ferreira de Lima, Anderson Tenório Sergio, Teresa Bernarda Ludermir:
Improving Classifiers and Regions of Competence in Dynamic Ensemble Selection. 13-18 - Rodrigo Magalhaes Rodovalho, Flávia Cristina Bernardini
Using Artificial Datasets to Analyze How Cardinality and Density Influence Multi-label Learning. 19-24
Session 1b - Natural Language Processing I
- Eraldo Rezende Fernandes, Irving Muller Rodrigues, Ruy Luiz Milidiú:
Portuguese Part-of-Speech Tagging with Large Margin Structure Learning. 25-30 - Danilo Silva de Carvalho
Extracting Semantic Information from Patent Claims Using Phrasal Structure Annotations. 31-36 - Adolfo A. Rios, Pedro J. Amarilla, Gustavo Alberto Giménez Lugo:
Sentiment Categorization on a Creole Language with Lexicon-Based and Machine Learning Techniques. 37-43 - Maria Lucía del Rosario Castro Jorge, Márcio de Souza Dias, Thiago Alexandre Salgueiro Pardo
Building a Language Model for Local Coherence in Multi-document Summaries Using a Discourse-Enriched Entity-Based Model. 44-49
Session 2a - Social Media Analysis and Recommender Systems
- Fernando Leandro dos Santos, Marcelo Ladeira:
The Role of Text Pre-processing in Opinion Mining on a Social Media Language Dataset. 50-54 - Renato Dompieri Beltrao, Bruno Souza Cabral, Marcelo Garcia Manzato, Frederico Araújo Durão:
Evaluating the Combination of Multiple Metadata Types in Movies Recommendation. 55-60 - Camila Vaccari Sundermann
Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems. 61-66 - Arthur da Costa Fortes, Marcelo Garcia Manzato:
Multimodal Interactions in Recommender Systems: An Ensembling Approach. 67-72
Session 2b - Optimization I
- João Fausto Lorenzato de Oliveira
A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting. 73-78 - Andre Britto
Archive Based Multi-swarm Algorithm for Many-Objective Problems. 79-84 - Hudson Geovane de Medeiros, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
Analyzing Limited Size Archivers of Multi-objective Optimizers. 85-90 - Antonino Feitosa Neto, Anne M. P. Canuto:
Meta-learning and Multi-objective Optimization to Design Ensemble of Classifiers. 91-96
Session 3a - Neural Networks
- Marcos Eduardo Valle
A Novel Continuous-Valued Quaternionic Hopfield Neural Network. 97-102 - Ariadne de Andrade Costa, Renato Tinós
An Evolving Artificial Neural Network for the Investigation of Rat Exploratory Behavior. 103-108 - Rafael Stoffalette Joao, Tarcisio Fonseca Guidoni, João Roberto Bertini Jr.
Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks. 109-114 - Maurício Acconcia Dias
Automatic Generation of LUTs for Hardware Neural Networks. 115-120
Session 3b - Agents, Planning, and Scheduling
- Robin Lamarche-Perrin, Yves Demazeau, Jean-Marc Vincent:
Macroscopic Observation of Large-Scale Multi-agent Systems. 121-127 - Fernando L. Fussuma, Karina Valdivia Delgado
B^2RTDP: An Efficient Solution for Bounded-Parameter Markov Decision Process. 128-133 - Luis Gustavo Rocha Vianna
Continuous Real Time Dynamic Programming for Discrete and Continuous State MDPs. 134-139 - Vinicius F. Carida, Orides Morandin, Paulo R. Cerioni, Carlos C. M. Tuma:
Prediction Model Using Coverability Tree from a Modeling in Petri Nets Applied in AGVs Dispatching. 140-145
Session 4a - Regression and Classification
- Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Investigation of Linear Genetic Programming Techniques for Symbolic Regression. 146-151 - Guilherme Cesário Strachan, Adriano S. Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems. 152-157 - Marcus Medeiros, Gabriel Ferreira Araújo, Hendrik T. Macedo, Marco Túlio Chella, Leonardo N. Matos:
Multi-kernel approach to Parallelization of EM Algorithm for GMM Training. 158-165 - Ricardo Silva Carvalho, Rommel Novaes Carvalho
Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption. 166-171
Session 4b - Knowledge Representation and Reasoning
- Debora Farias Frota, Ana Teresa C. Martins, João F. L. Alcântara, Luis Henrique Bustamante:
An ALC Description Default Logic with Exceptions-First. 172-179 - Raphael Melo, Kate Cerqueira Revoredo
Syntactic Compression of Description Logics Terminologies. 180-185 - Denis Deratani Mauá, Cassio Polpo de Campos, Alessandro Antonucci
Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. 186-191 - Ricardo Tavares de Oliveira, Fabiano Silva:
SAT and MaxSAT Encodings for Trees Applied to the Steiner Tree Problem. 192-197
Session 5a - Machine Learning for Information Retrieval and Mining
- Luiz Henrique Nogueira Lorena
Clustering Search Applied to Rank Aggregation. 198-203 - Rafael Martins D'Addio, Marcelo Garcia Manzato:
A Collaborative Filtering Approach Based on User's Reviews. 204-209 - Luiz Fernando Sommaggio Coletta
Combining Classification and Clustering for Tweet Sentiment Analysis. 210-215 - Alisson S. C. Alencar, João Paulo Pordeus Gomes, Amauri H. de Souza, Livio A. M. Freire, José Wellington Franco da Silva, Rossana M. C. Andrade
Regularized Supervised Distance Preserving Projections for Short-Text Classification. 216-221
Session 5b - Pattern Recognition
- Giampaolo Luiz Libralon, Roseli Aparecida Francelin Romero:
Mapping of Facial Elements for Emotion Analysis. 222-227 - Diego Fonseca Pereira de Souza, Felipe Maia Galvão França
Spatio-temporal Pattern Classification with KernelCanvas and WiSARD. 228-233 - Alcides Xavier Benicasa, Marcos G. Quiles
An Object-Based Visual Selection Model Combining Physical Features and Memory. 234-240 - Gustavo Malkomes, João Paulo Pordeus Gomes, Carlos Fisch Brito:
An Improvement of the K-SVD Algorithm with Applications on Face Recognition. 241-246
Session 6a - Machine Learning and Data Mining II
- Newton Spolaôr
Label Construction for Multi-label Feature Selection. 247-252 - Ricardo Grunitzki, Gabriel de Oliveira Ramos, Ana Lúcia C. Bazzan:
Individual versus Difference Rewards on Reinforcement Learning for Route Choice. 253-258 - Jorge Carlos Valverde-Rebaza
Music Genre Classification Using Traditional and Relational Approaches. 259-264 - Thomas W. Rauber, Lucas H. Sousa Mello, Victor Freitas Rocha, Flávio Miguel Varejão:
Multi-label Fault Classification Experiments in a Chemical Process. 265-270
Session 6b - Natural Language Processing II
- Paulo Viana Bicalho, Tiago de Oliveira Cunha, Fernando Henrique Jesus Mourão, Gisele Lobo Pappa, Wagner Meira Jr.:
Generating Cohesive Semantic Topics from Latent Factors. 271-276 - Lucas Vinicius Avanco, Maria das Graças Volpe Nunes:
Lexicon-Based Sentiment Analysis for Reviews of Products in Brazilian Portuguese. 277-281 - Rodrigo Augusto Igawa, Guilherme Sakaji Kido, Jose Luis Seixas
Adaptive Distribution of Vocabulary Frequencies: A Novel Estimation Suitable for Social Media Corpus. 282-287 - Thiago Fredes Rodrigues, Paulo Martins Engel:
Probabilistic Clustering and Classification for Textual Data: An Online and Incremental Approach. 288-293
Session 7a - Fuzzy Systems
- Anderson Francisco Talon, Edmundo Roberto Mauro Madeira
Self-Adaptive Fuzzy Architecture to Predict and Decrease e-Contract Violations. 294-299 - Helano Povoas de Lima, Heloisa de Arruda Camargo
A Methodology for Building Fuzzy Rule-Based Systems Integrating Expert and Data Knowledge. 300-305 - Marcelo de Souza, Fernando dos Santos, Adolfo Rodriguez de Soto
FuzzyStudio: A Web Tool for Modeling and Simulation of Fuzzy Systems. 306-311
Session 7b - Multi-objective Optimization
- Carolina Paula de Almeida
Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem. 312-317 - Lucas M. Pavelski
ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution. 318-323 - Murilo Zangari de Souza, Aurora Trinidad Ramirez Pozo
A GPU Implementation of MOEA/D-ACO for the Multiobjective Traveling Salesman Problem. 324-329
Session 8a - Concept Drift and Adaptive Methods
- Fausto Guzzo da Costa, Rodrigo Fernandes de Mello
A Stable and Online Approach to Detect Concept Drift in Data Streams. 330-335 - Paulo Henrique Pisani, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Adaptive Algorithms in Accelerometer Biometrics. 336-341 - Luciano Demetrio Santos Pacífico
A Group Search Optimization Method for Data Clustering. 342-347
Session 8b - Neural Networks and Dynamic Models
- Daniel de Filgueiras Gomes, Aluízio Fausto Ribeiro Araújo:
Fast Coverage of N-Dimensional State Space Self-Organizing Map. 348-353 - Fabio Alessandro Oliveira da Silva, Liang Zhao
Recognizing Fractal Patterns Using a Ring of Phase Oscillators. 354-359 - Cássio M. M. Pereira, Rodrigo Fernandes de Mello
Data Clustering Using Topological Features. 360-365
Session 9a - Knowledge Representation and Reasoning
- Fillipe Resina
Algorithms for Multiple Contraction and an Application to OWL Ontologies. 366-371 - Marcius Armada de Oliveira, Kate Cerqueira Revoredo
Semantic Unlink Prediction in Evolving Social Networks through Probabilistic Description Logic. 372-377 - Henrique Viana
Private Dynamic Epistemic Friendship Logic. 378-383 - Felipe Iwao Takiyama, Fábio Gagliardi Cozman
Inference with Aggregation Parfactors: Lifted Elimination with First-Order d-Separation. 384-389
Session 9b - Machine Learning and Complex Networks
- Alan Valejo, Jorge Carlos Valverde-Rebaza
A Multilevel Approach for Overlapping Community Detection. 390-395 - Andres Eduardo Coca Salazar
Rhythmic Pattern Extraction by Community Detection in Complex Networks. 396-401 - Leonardo Nascimento Ferreira
Detecting Time Series Periodicity Using Complex Networks. 402-407 - Fabiano Berardo de Sousa, Liang Zhao
Evaluating and Comparing the IGraph Community Detection Algorithms. 408-413
Session 10 - Optimization II
- Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros:
A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection. 414-419 - Luciano Demetrio Santos Pacífico
Improved Cooperative Group Search Optimization Based on Divide-and-Conquer Strategy. 420-425 - Olacir Rodrigues Castro Junior, Aurora Trinidad Ramirez Pozo
A Hybrid Competent Multi-swarm Approach for Many-Objective Problems. 426-431 - Kemilly Dearo Garcia, Murilo Coelho Naldi:
Multiple Parallel MapReduce k-Means Clustering with Validation and Selection. 432-437
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