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ORCID8th BRACIS 2019: Salvador, Brazil
- 8th Brazilian Conference on Intelligent Systems, BRACIS 2019, Salvador, Brazil, October 15-18, 2019. IEEE 2019, ISBN 978-1-7281-4253-1
Knowledge Representation and Reasoning I
- Marcio Figueiredo Garcia, Diego Stéfano Fonseca Ferreira, Augusto Cesar Pinto Loureiro da Costa:
An Embedded Network Based Platform for Cognitive Robotics. 1-5 - Daniel Specht Menezes, Ruy Milidiú, Pedro Savarese:
Building a Massive Corpus for Named Entity Recognition Using Free Open Data Sources. 6-11 - Thiago Alves Rocha
, Ana Teresa C. Martins:
Synthesis of Quantifier-Free First-Order Sentences from Noisy Samples of Strings. 12-17 - Milton Ossamu Tanizaka Filho, Ernesto Cordeiro Marujo, Thomaz Calasans dos Santos:
Identification of Features for Profit Forecasting of Soccer Matches. 18-23 - Lucas Borges de Moraes, Adriano Fiorese, Rafael Stubs Parpinelli:
An Improved Evolutionary Hybrid Method for Cloud Provider Selection. 24-29 - Rafael da Silva Albuquerque, João F. L. Alcântara:
A Rough Sets-Based Method with Belief Merging Operators for Multiclass Classification Problems. 30-35
Optimization Algorithms: Genetic Algorithms
- Ozeas Quevedo de Carvalho, Renato Tinós, L. Darrell Whitley, Danilo Sipoli Sanches:
A New Method for Identification of Recombining Components in the Generalized Partition Crossover. 36-41 - Lisane B. de Brisolara, Matheus Lorenzato Braga, Alex Braga, Paulo Roberto Ferreira Jr.:
Parameter Tuning in Load Balancing Techniques for Wireless Sensor Networks through Genetic Algorithms. 42-47 - Maykon Rocha Santana, Heloisa A. Camargo:
A Parallel Strategy for Generation of Fuzzy Rule Bases in Big Data Problems Using the NSGA-DO. 48-53 - Antonio Eloy de Oliveira Araujo, Renato Antonio Krohling:
A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems. 54-59 - Aluísio Cardoso Silva, Carlos Cristiano Hasenclever Borges:
An Improved Heuristic Based Genetic Algorithm for Bin Packing Problem. 60-65 - Felipe Casadei, Joao Francisco B. S. Martins, Gisele L. Pappa:
A Multi-objective Approach for Symbolic Regression with Semantic Genetic Programming. 66-71
Natural Language Processing I
- Igor de Oliveira Nunes, Gabriel Matos Cardoso Leite, Daniel Ratton Figueiredo:
A Contextual Hierarchical Graph Model for Generating Random Sequences of Objects with Application to Music Playlists. 72-77 - Camila Leite da Silva, Lucas May Petry, Vinicius Marino Calvo Torres de Freitas, Carina Friedrich Dorneles:
Mining Journals to the Ground: An Exploratory Analysis of Newspaper Articles. 78-83 - Beatriz Lima, Tatiane M. Nogueira:
Novel Features Based on Sentence Specificity for Helpfulness Prediction of Online Reviews. 84-89 - Cassio T. Batista, Renan F. Cunha, Pedro Batista, Aldebaro Klautau, Nelson Neto:
Utterance Copy in Formant-Based Speech Synthesizers Using LSTM Neural Networks. 90-95 - Leonardo Afonso Amorim, Mateus F. Freitas, Altino Dantas, Celso G. Camilo-Junior, Weber Martins, Wellington Santos Martins:
Accelerating word Embedding Generation with Fine-Grain Parallelism. 96-101 - Mauricio Steinert, Roger Granada, João Paulo Aires, Felipe Meneguzzi:
Automating News Summarization with Sentence Vectors Offset. 102-107
Ensemble Systems
- Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior:
Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure. 108-113 - Douglas Vitório, Ellen Souza, Adriano L. I. Oliveira:
Using Active Learning Sampling Strategies for Ensemble Generation on Opinion Mining. 114-119 - Paulo M. da Silva, Marília Nayara Clemente de Almeida Lima, Wedson Lino Soares, Iago R. R. Silva, Roberta A. de A. Fagundes, Fernado F. de Souza:
Ensemble Regression Models Applied to Dropout in Higher Education. 120-125 - Danilo Rodrigo Cavalcante Bandeira, Anne Magály de Paula Canuto, Márjory Cristiany Da Costa Abreu, Michael C. Fairhurst, Cheng Li, Diego Silveira Costa Nascimento:
Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction. 126-131 - Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon:
Online Local Boosting: Improving Performance in Online Decision Trees. 132-137 - Caio Luiggy Riyoichi Sawada Ueno, Diego Furtado Silva:
On Combining Diverse Models for Lyrics-Based Music Genre Classification. 138-143
Best Paper Session
- Joel D. Costa Júnior, Elaine Ribeiro de Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri:
Novelty Detection for Multi-Label Stream Classification. 144-149 - Bernardo B. Gatto, Marco A. F. Mollinetti, Eulanda Miranda dos Santos, Kazuhiro Fukui:
Tensor Fukunaga-Koontz Transform for Hierarchical Clustering. 150-155 - Maycon Leone Maciel Peixoto, Erick Roseira Pinheiro, Tácito Trindade de Araújo Tiburtino Neves, Danilo Barbosa Coimbra:
Multidimensional Projections Analysis Using Performance Evaluation Planning. 156-161 - Matheus Campos Fernandes, Thiago Ferreira Covões, André Luiz Vizine Pereira:
Active Learning for Evolutionary Constrained Clustering. 162-167 - Viviane M. Bonadia dos Santos, Leliane Nunes de Barros, Maria Viviane de Menezes:
Symbolic Planning for Strong-Cyclic Policies. 168-173 - Renato Tinós:
An RBF Network Based Crossover for Pseudo-Boolean Optimization. 174-179
Features and Instances: Selection, Extraction and Analysis
- Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method. 180-185 - Caio Flexa, Walisson Cardoso Gomes, Sérgio Viademonte, Claudomiro de Souza de Sales Junior, Ronnie Alves:
A Geometry-Based Approach to Visualize High-Dimensional Data. 186-191 - Paulo Vitor Freitas da Silva, Raul Fonseca Neto, Saulo Moraes Villela:
An Ordered Search for Subset Selection in Support Vector Orthogonal Regression. 192-197 - Jorge Cristhian Chamby-Diaz, Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan:
Dynamic Correlation-Based Feature Selection for Feature Drifts in Data Streams. 198-203 - Caio Flexa, Walisson Cardoso Gomes, Claudomiro de Souza de Sales Junior:
Data Normalization in Structural Health Monitoring by Means of Nonlinear Filtering. 204-209 - Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho:
The Influence of Sampling on Imbalanced Data Classification. 210-215
Deep Learning Applications I
- Alan Fontoura, Diego Barreto Haddad, Eduardo Bezerra:
A Deep Reinforcement Learning Approach to Asset-Liability Management. 216-221 - Suane Pires Pinheiro da Silva, Paulo Honório Filho, Leandro Bezerra Marinho, Jefferson S. Almeida, Navar Medeiros M. e Nascimento, Antonio Wendell De Oliveira Rodrigues, Pedro Pedrosa Rebouças Filho:
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning. 222-227 - Alexandra Moreira, Alcione de Paiva Oliveira, Jugurta Lisboa Filho:
Fire and Water: Using Deep Learning to Recognize Fluid Substances. 228-232 - Rafael Marconi Ramos, Célia Ghedini Ralha, Tahsin M. Kurç, Joel H. Saltz, George Teodoro:
Increasing Accuracy of Medical CNN Applying Optimization Algorithms: An Image Classification Case. 233-238 - Thayane de Oliveira Simoes, Johnatan Carvalho Souza, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Automatic Ocular Alignment Evaluation for Strabismus Detection Using U-NET and ResNet Networks. 239-244 - Francisco das Chagas Fontenele Marques Junior, Thelmo Pontes de Araújo, José Vigno Moura Sousa, Nator Junior Carvalho da Costa, Rodrigo Teixeira de Melo, Alano Martins Pinto, Arata Andrade Saraiva:
Recognition of Simple Handwritten Polynomials Using Segmentation with Fractional Calculus and Convolutional Neural Networks. 245-250
Computational Intelligence
- Lênon Guimarães Alípio:
Analyzing Electoral Donations Through Congress Ideological Segmentation. 251-256 - Diego Arize, Tatiane Nogueira Rios:
A Comparison Study on Time Series Forecasting Given Smart Grid Load Uncertainties. 257-262 - Matheus R. F. Mendonça, Artur Ziviani, André Barreto:
Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition. 263-268 - Alexsander Vasconcelos Canez, Joelson Sartori, Regina Barwaldt, Ricardo Nagel Rodrigues:
Collision Detection with Monocular Vision for Assisting in Mobility of Visually Impaired People. 269-274 - Glaubos Clímaco, Pedro Henrique González, Glaydston Mattos Ribeiro, Geraldo R. Mauri, Luidi Simonetti:
A Biased Random-Key Genetic Algorithm for the Traffic Counting Location Problem. 275-280 - João Luiz Carneiro Carvalho, Paulo César Machado de Abreu Farias, Edmar Egidio Purcino de Souza, Eduardo Furtado de Simas Filho:
Particle Swarm Localization for Mobile Robots Using a 2D Laser Sensor. 281-286
Optimization Algorithms I
- Edson Lopes da Silva Junior, Vinicius Alberto Alves da Silva, Luciana Brugiolo Gonçalves, Lorenza Leão Oliveira Moreno, Stênio Sã Rosário Furtado Soares:
An Efficient Algorithm for the Tabu Clustered Traveling Salesman Problem. 287-292 - Marco André Abud Kappel:
Action Scheduling Optimization using Cartesian Genetic Programming. 293-298 - Thiago Soares Marques, Sidemar Fideles Cezario, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Sílvia Maria Diniz Monteiro Maia:
Quota Traveling Salesman with Passengers and Collection Time. 299-304 - Luis Tertulino, Sílvia Maria Diniz Monteiro Maia, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
TSchainRad: a new Tabu Search-Based Matheuristic for IMRT Optimization. 305-310 - Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner, Diego Oliva:
On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm. 311-316 - Mateus Boiani, Gabriel Dominico, Rafael Stubs Parpinelli:
A GPU-Based Hybrid jDE Algorithm Applied to the 2D-AB Protein Structure Prediction Problem. 317-322
Optimization Algorithms and Machine Learning
- Antonino Feitosa Neto, João Carlos Xavier Junior, Anne M. P. Canuto, Alexandre C. M. Oliveira:
A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles. 323-328 - Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Roberto Santana:
Automatic Design of Convolutional Neural Networks using Grammatical Evolution. 329-334 - Gabriel Dominico, Mateus Boiani, Rafael Stubs Parpinelli:
Differential Evolution with Cluster-Based External Archive and Local Search for Multimodal Optimization. 335-340 - Gabriel Franco, Marcos Henrique Fonseca Ribeiro, Giovanni Comarela:
Towards an Interpretable Metric for DOTA 2 Players: An Unsupervised Learning Approach. 341-346 - Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir:
A Partitional Cooperative Coevolutionary Group Search Optimization Approach for Data Clustering. 347-352 - Renato Tinós:
Using Hyperplanes to Create Neutral Networks in Pseudo-Boolean Optimization. 353-358
Data Mining I
- Diego Minatel, Vinícius Ferreira, Alneu de Andrade Lopes:
A Multilevel Approach for Building Location-Based Social Network by using Stay Points. 359-364 - Vinícius Ferreira, Alan Valejo, Alneu de Andrade Lopes:
A Scalability Approach Based on Multilevel Optimization for Link Prediction Methods. 365-370 - Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir:
A Multivariate Method for Group Profiling Using Subgroup Discovery. 371-376 - Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.:
Towards Meta-Learning for Multi-Target Regression Problems. 377-382 - Bruno Klein Salvalaio, Gabriel de Oliveira Ramos:
Self-Adaptive Appearance-Based Eye-Tracking with Online Transfer Learning. 383-388 - Gabriel Mariano de Castro SIlva, Jaime Simão Sichman:
Using Social Group Trajectories for Potential Impersonation Detection on Smart Buildings Access Control. 389-394
Neural Networks and Deep Learning
- Luiz Oscar Homann de Topin, Regina Barwaldt, Joelson Sartori, Bruna dos Santos Freitas:
The Use of Deep Learning to Support Math Teaching and Learning for the Blind. 395-400 - Rodolfo Coelho Dalapicola, Raissa Tavares Vieira Queiroga, Carolina Toledo Ferraz, Tamiris Trevisan Negri Borges, José Hiroki Saito, Adilson Gonzaga:
Impact of Facial Expressions on the Accuracy of a CNN Performing Periocular Recognition. 401-406 - Ana Carolina Quintao Siravenha, Mylena N. F. Reis, Iraquitan Cordeiro Filho, Renan Arthur Tourinho, Bruno Duarte Gomes, Schubert R. Carvalho:
Residual MLP Network for Mental Fatigue Classification in Mining Workers from Brain Data. 407-412 - Ângelo Gregório Lovatto, Thiago Pereira Bueno, Leliane Nunes de Barros:
Analyzing the Effect of Stochastic Transitions in Policy Gradients in Deep Reinforcement Learning. 413-418 - Ricardo Costa da Silva Marques, Arthur Costa Serra, João Vitor Ferreira França, João Otávio Bandeira Diniz, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Marcia Izabel Alves da Silva, Eliana Marcia Garros Monteiro:
Image-Based Electric Consumption Recognition via Multi-Task Learning. 419-424 - André Ribeiro de Miranda, Talles M. G. de Andrade Barbosa, André Gustavo Scolari Conceição, Symone Gomes Soares Alcalá:
Recurrent Neural Network Based on Statistical Recurrent Unit for Remaining Useful Life Estimation. 425-430
Natural Language Processing II
- João Marcos Correia Marques, Fábio Gagliardi Cozman, Ismael Humberto Ferreira dos Santos:
Automatic Summarization of Technical Documents in the Oil and Gas Industry. 431-436 - Joaquim Santos, Bernardo Scapini Consoli, Cícero Nogueira dos Santos, Juliano Terra, Sandra Collovini, Renata Vieira:
Assessing the Impact of Contextual Embeddings for Portuguese Named Entity Recognition. 437-442 - Hélio Fonseca Sayama, Anderson Viçoso Araujo, Eraldo Rezende Fernandes:
FaQuAD: Reading Comprehension Dataset in the Domain of Brazilian Higher Education. 443-448 - Bruno Nishimoto, Anna Helena Reali Costa:
Dialogue Management with Deep Reinforcement Learning: Balancing Exploration and Exploitation. 449-454 - Jéssica Soares dos Santos, Aline Paes, Flávia Bernardini:
Combining Labeled Datasets for Sentiment Analysis from Different Domains Based on Dataset Similarity to Predict Electors Sentiment. 455-460
Agents and Multi-Agent Systems
- João Pedro Figueirôa Nascimento, Rosalvo Ferreira de Oliveira Neto, Lourinaldo Júnior Macário Amorim:
An Efficient Kick Strategy for Agents in the 2D Simulation League. 461-466 - Mariela Morveli Espinoza, Ayslan Trevizan Possebom, Cesar Augusto Tacla:
Argumentation-Based Agents that Explain Their Decisions. 467-472 - Pedro Elkind Velmovitsky, Marx L. Viana, Elder Cirilo, Ruy Luiz Milidiú, Plinio Pelegrini Morita, Carlos José Pereira de Lucena:
Promoting Reusability and Extensibility in the Engineering of Domain-Specific Conversational Systems. 473-478 - Felipe Leno da Silva, Anna Helena Reali Costa, Peter Stone:
Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games. 479-484 - Lucas Rodrigues Carneiro, Carla Amor Divino Moreira Delgado, João Carlos Pereira da Silva:
Social Analysis of Game Agents: How Trust and Reputation can Improve Player Experience. 485-490 - Alison R. Panisson:
Towards an Organisation-Centred Semantics for Argumentation-Based Dialogues. 491-496
Optimization Algorithms II
- Matheus Santos Almeida, Joel Alves de Oliveira, André Britto:
Decision Variable Learning. 497-502 - Josiel Kuk, Richard A. Gonçalves, Aurora T. R. Pozo:
Combining Fitness Landscape Analysis and Adaptive Operator Selection in Multi and Many-Objective Optimization. 503-508 - Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco:
Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency. 509-514 - Luiz G. A. Martins, Tiago Peres França, Gina M. B. Oliveira:
Bio-Inspired Algorithms for Many-Objective Discrete Optimization. 515-520 - Angie L. Blanco, Nathalia Chaparro, Sergio Rojas Galeano:
An Urban Pigeon-Inspired Optimiser for Unconstrained Continuous Domains. 521-526 - Eduardo J. Marcondes, Bruno Nocera Zanette, Peter Frank Perroni, Daniel Weingaertner:
Evolutionary Algorithms with Constraint Handling for the Hydroelectric Dispatch Planning. 527-532
Bioinformatics and Biomedical Engineering
- Reginaldo Inojosa da Silva Filho, Ana Paula Rozeno Rodrigues:
Toward in Loco Cancer Therapy by Biomolecular Computer. 533-538 - Robson Parmezan Bonidia, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre Rossi Paschoal, Danilo Sipoli Sanches:
Selecting the Most Relevant Features for the Identification of Long Non-Coding RNAs in Plants. 539-544 - Raíssa Lorena Silva da Silva, Kleber Padovani de Souza, Fabiana Rodrigues de Góes, Ronnie Cley de Oliveira Alves:
A Random Forest Classifier for Prokaryotes Gene Prediction. 545-550 - Marília Lopes, Ary Santos, Cecília Silva, Lucas Lima, Douglas F. L. Lima, Bianca Costa, Desiré Magalhães, Darlyane Rodrigues, Thaís Gaudencio do Rêgo, Leandro Pernambucano:
A Deep Learning Approach to Detect Hyoid Bone in Ultrasound Exam. 551-555 - Luan Sousa Cordeiro, Joyce Saraiva Lima, A. Iedo Rocha Ribeiro, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, Ajalmar R. da Rocha Neto:
Pill Image Classification using Machine Learning. 556-561 - Renan Soares de Andrades, Mateus Grellert, Mateus Beck Fonseca:
Hyperparameter Tuning and its Effects on Cardiac Arrhythmia Prediction. 562-567
Data Mining Applications I
- Vinícius Ferreira, Alan Valejo, Paola Valdivia, Jorge Valverde-Rebaza:
Exploiting Geographical Data to Improve Recommender Systems for Business Opportunities in Urban Areas. 568-573 - Rogério L. C. Silva Filho, Paulo J. L. Adeodato:
Data Mining Solution for Assessing the Secondary School Students of Brazilian Federal Institutes. 574-579 - Marciele M. Bittencourt, Renato Moraes Silva, Tiago A. Almeida:
ML-MDLText: A Multilabel Text Categorization Technique with Incremental Learning. 580-585 - Francisco Pereira, Daniel Teixeira, João Paulo Pordeus Gomes, Javam C. Machado:
Evaluating One-Class Classifiers for Fault Detection in Hard Disk Drives. 586-591 - Pedro Faustini, Thiago Ferreira Covões:
Fake News Detection Using One-Class Classification. 592-597 - Karoline de M. Farias, Pedro de A. Santos Neto, André M. Santana, Ranulfo Plutarco Bezerra Neto:
Using Historical Information of Patients for Prior Authorization Learning. 598-603
Clustering Techniques
- Caio Ponte, Carlos Caminha, Rafael Bomfim, Ronaldo S. Moreira, Vasco Furtado:
A Temporal Clustering Algorithm for Achieving the Trade-off between the User Experience and the Equipment Economy in the Context of IoT. 604-609 - Lusmar M. Freitas, Murillo G. Carneiro:
Community Detection to Invariant Pattern Clustering in Images. 610-615 - Robespierre Pita, Gabriela Borges, Nivea Bispo, Daniela Almeida, Rosemeire Fiaccone, Marcos E. Barreto:
K-Fact: Using the Frequency Factor for Clustering Categorical Data. 616-621 - Leonardo Emmendorfer:
An Empirical Evaluation of Two Novel Linkage Criteria for Hierarchical Agglomerative Clustering. 622-626 - Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios:
Using Clustering in Eye-Tracking Calibration Task. 627-632
Neural Networks
- Flavio G. Calhau, Joberto S. B. Martins:
A Electric Network Reconfiguration Strategy with Case-Based Reasoning for the Smart Grid. 633-638 - Vítor Rodrigues Tonon, Cintia Carvalho Oliveira, Daniele Carvalho Oliveira, Alneu de Andrade Lopes, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Improving Recommendations by Using a Heterogeneous Network and User's Reviews. 639-644 - Tiago Colliri, Liang Zhao:
A Network-Based Model for Optimizing Returns in the Stock Market. 645-650 - Matheus Rocha Barbosa, Luís Gustavo Mota Souza:
Analytical Calculation of Hidden Layer Biases in Extreme Learning Machines with Sinusoidal Activation Function. 651-656 - Brucce Neves dos Santos, Ricardo M. Marcacini, Solange O. Rezende:
A Sampling-Based Framework for Transductive Classification in Information Networks. 657-662
Knowledge Representation and Reasoning II
- Vinicius Fernandes Caridá, Amir Jalilifard, Alex Mansano, Rogers Cristo:
Can NetGAN be Improved on Short Random Walks? 663-668 - Jordan Ferreira Saran, Leonardo Castro Botega:
Development of Criminal Ontologies to Enhance Situation Assessment. 669-674 - Daniel Jean Rodrigues Vasconcelos, Amauri Holanda de Souza Júnior, Francesco Corona:
Probabilistic Multilateration: Model and Inference. 675-680 - Tamires Brito-Sarracino, Moisés Rocha dos Santos, Eric Freire Antunes, Iury Batista de Andrade Santos, Jonas Coelho Kasmanas, André Carlos Ponce de Leon Ferreira de Carvalho:
Explainable Machine Learning for Breast Cancer Diagnosis. 681-686 - Edimilson Batista dos Santos, Igor Henrique P. Rodrigues, Estevam R. Hruschka Jr., Lucas Rezende Bruno:
Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System. 687-692 - Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Generalized Iterated Belief Change in Dynamic Epistemic Logic. 693-698
Deep Learning Applications II
- Pedro Pedrosa Rebouças Filho, João Wellington M. Souza, Leandro Bezerra Marinho, Gabriel Bandeira Holanda, Harison Herman Silva, Alvaro A. F. Leite, Thais S. Bandeira, Antonio Wendell De Oliveira Rodrigues:
Mobile System to Aid in the Identification and Classification of Electrical Assets using Convolutional Neural Network. 699-704 - Vanessa Castro Rezende, Michel Costa, Adam Santos, Roberto C. L. de Oliveira:
Image Processing with Convolutional Neural Networks for Classification of Plant Diseases. 705-710 - Matheus Machado dos Santos, Giovanni G. De Giacomo, Paulo Drews Jr., Silvia S. C. Botelho:
Semantic Segmentation of Static and Dynamic Structures of Marina Satellite Images using Deep Learning. 711-716 - Bruno Vicente Alves de Lima, Adrião Duarte Dória Neto, Lúcia Emília Soares Silva, Vinícius Ponte Machado, João Guilherme Cavalcanti Costa:
Semi-supervised Classification Using Deep Learning. 717-722 - Renan Martins, Skander Hannachi, Guilherme Novaes Ramos:
Statistical and Deep Learning Models for Forecasting Drug Distribution in the Brazilian Public Health System. 723-728
Image Processing Applications
- Luis Fernando Marin Sepulveda, Aristófanes Corrêa Silva, João Otávio Bandeira Diniz:
Meta-Data Construction for Selection of Breast Tissue Biopsy Slides Image Classifier to Identify Ductal Carcinoma. 729-734 - João Pedro Kerr Catunda, André Tavares da Silva, Lilian Berton:
Car Plate Character Recognition Via Semi-Supervised Learning. 735-740 - Luciano D. S. Pacífico, Larissa F. S. Britto, Emilia Oliveira, Teresa Bernarda Ludermir:
Automatic Classification of Medicinal Plant Species Based on Color and Texture Features. 741-746 - Murilo Varges da Silva, Aparecido Nilceu Marana:
Human Action Recognition using 2D Poses. 747-752 - Lucas Amparo Barbosa, Gabriel Dahia, Maurício Pamplona Segundo:
Expression Removal in 3D Faces for Recognition Purposes. 753-758 - Luis H. M. Sepulvene, Isabela Neves Drummond, Bruno Tardiole Kuehne, Rafael M. D. Frinhani, Fábio Petri, Stephan Reiff-Marganiec, Bruno G. Batista:
Analysis of Machine Learning Techniques in Fault Diagnosis of Vehicle Fleet Tracking Modules. 759-764
Data Mining II
- Lucas Francesco Piccioni Costa, Andres Eduardo Coca Salazar:
Dodecaphonic Composer Identification Based On Complex Networks. 765-770 - Marcos Ricardo Santos Oliveira, Ricardo Araújo Rios:
Bidirectional Mean Distance Estimation: A New Gap filling Method. 771-776 - Danilo Medeiros Eler, Matheus Batista, Rogério Eduardo García, Danillo Roberto Pereira, Wilson Estécio Marcílio Júnior:
Visual Approach to Support Analysis of Optimum-Path Forest Classifier. 777-782 - Gustavo Dias, André Yoshiaki Kashiwabara:
A Probabilistic Algorithm to Estimate the Spectral Moments of Large Undirected Weighted Graphs. 783-787 - Camila Leite da Silva, Lucas May Petry, Vania Bogorny:
A Survey and Comparison of Trajectory Classification Methods. 788-793 - Lucas Francisco Amaral Orosco Pellicer, Filipe Alves Neto Verri, Vitor Venceslau Curtis:
Enhancement on the Labeled Component Unfolding System for Parallel Implementations. 794-799
Natural Language Processing III
- Gustavo Padilha Polleti, Fábio Gagliardi Cozman:
Explaining Content-Based Recommendations with Topic Models. 800-805 - Jorge Cristhian Chamby-Diaz, Ana L. C. Bazzan:
Identifying Traffic Event Types from Twitter by Multi-Label Classification. 806-811 - Larissa F. S. Britto, Rinaldo Lima, Luciano D. S. Pacífico:
Structural Correspondence Learning for Cross-Domain Sentiment Analysis in Brazilian Portuguese. 812-817 - Andréa B. Duque, Francisco de A. T. de Carvalho, Renato Vimieiro:
A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts. 818-823 - Gleison de Andrade e Silva Silva, Pedro de Alcântara dos Santos Neto, Raimundo Santos Moura, Alexandre Cristian Araújo, Otávio Cury da Costa Castro, Irvayne Matheus de Sousa Ibiapina:
An Approach to Support the Selection of Relevant Studies in Systematic Review and Systematic Mappings. 824-829
Neural Networks and Fuzzy Systems
- Lucas P. Zorzi, Ana Carolina Lorena:
Exploring Artificial Neural Networks: A Data Complexity Perspective. 830-835 - Luciano Souza, Jonathan H. A. de Carvalho, Tiago Ferreira:
Quantum Walk to Train a Classical Artificial Neural Network. 836-841 - Fernando Maciano de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Quantum Neural Networks Learning Algorithm Based on a Global Search. 842-847 - Marcos Eduardo Valle, Rodolfo Anibal Lobo:
An Introduction to Quaternion-Valued Recurrent Projection Neural Networks. 848-853
Data Mining Applications II
- Paulo Mateus Moura da Silva, César Lincoln Cavalcante Mattos, Amauri Holanda de Souza Júnior:
Audio Plugin Recommendation Systems for Music Production. 854-859 - Carla Fernandes da Silva, Kuruvilla Joseph Abraham, Evandro Eduardo Seron Ruiz:
Comorbidity Prediction and Validation using a Disease Gene Graph and Public Health Data. 860-865 - Mateus Teixeira Magalhães, Gabriel Brandão de Miranda, Luciana Brugiolo Gonçalves, Lorenza Leão Oliveira Moreno, Stênio Sã Rosário Furtado Soares, Leonardo Willer de Oliveira:
A Random Keys Genetic Algorithm Approach for Reconfiguration Problem in Distribution Power Networks. 866-871 - Eraylson Galdino da Silva, Paulo Salgado Gomes de Mattos Neto, João Fausto Lorenzato de Oliveira:
Hybrid System for Time Series using Iterative Residual Forecasting Models. 872-877 - Daniel Souza, Thiago de P. Vasconcelos, César L. C. Mattos, João Gomes:
Evaluation of Data Based Normal Behavior Models for Fault Detection in Wind Turbines. 878-883
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