default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBRACIS 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, Felipe Maia Galvão França, Priscila Machado Vieira Lima:
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, Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende:
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, Teresa Bernarda Ludermir:
A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting. 73-78 - Andre Britto, Sanaz Mostaghim, Aurora Trinidad Ramirez Pozo:
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., Maria do Carmo Nicoletti, Almir Olivette Artero:
Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks. 109-114 - Maurício Acconcia Dias, Daniel Oliva Sales, Fernando Santos Osório:
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, Leliane Nunes de Barros:
B^2RTDP: An Efficient Solution for Bounded-Parameter Markov Decision Process. 128-133 - Luis Gustavo Rocha Vianna, Scott Sanner, Leliane Nunes de Barros:
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, Marcelo Ladeira, Fernando Mendes Monteiro, Gilson Libório de Oliveira Mendes:
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, Aline Marins Paes Carvalho:
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, Ana Carolina Lorena, Luiz Antonio Nogueira Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
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, Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
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, Miguel F. de Castro:
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, Priscila Machado Vieira Lima:
Spatio-temporal Pattern Classification with KernelCanvas and WiSARD. 228-233 - Alcides Xavier Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. Francelin Romero:
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, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee:
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, Aurea Soriano-Vargas, Lilian Berton, Maria Cristina Ferreira de Oliveira, Alneu de Andrade Lopes:
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, Sylvio Barbon:
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, Maria Beatriz Felgar de Toledo:
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, Adilson Vahldick:
FuzzyStudio: A Web Tool for Modeling and Simulation of Fuzzy Systems. 306-311
Session 7b - Multi-objective Optimization
- Carolina Paula de Almeida, Richard Aderbal Gonçalves, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Myriam Regattieri Delgado:
Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem. 312-317 - Lucas M. Pavelski, Myriam Regattieri Delgado, Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske:
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, Teresa Bernarda Ludermir:
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, Márcio Moretto Ribeiro, Renata Wassermann:
Algorithms for Multiple Contraction and an Application to OWL Ontologies. 366-371 - Marcius Armada de Oliveira, Kate Cerqueira Revoredo, José Eduardo Ochoa Luna:
Semantic Unlink Prediction in Evolving Social Networks through Probabilistic Description Logic. 372-377 - Henrique Viana, Arnaldo Araújo, Lucas Leite, João F. L. Alcântara:
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, Alneu de Andrade Lopes:
A Multilevel Approach for Overlapping Community Detection. 390-395 - Andres Eduardo Coca Salazar, Liang Zhao:
Rhythmic Pattern Extraction by Community Detection in Complex Networks. 396-401 - Leonardo Nascimento Ferreira, Liang Zhao:
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, Teresa Bernarda Ludermir:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-05-08 21:05 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
