WELCOME TO BRACIS 2016

The Program Committee of the 5th Brazilian Conference on Intelligent System (BRACIS) invites submissions of original research papers for the conference, to be held in Recife, Pernambuco, from October 9th to 12th, 2016.

BRACIS is one of the most important events in Brazil for researchers in the field of Artificial and Computational intelligence. The domain of the conference includes traditional and original topics of both areas and it aims to promote theories and novel applications dealing with the use and analysis of AI/CI techniques in various related fields.

BRACIS also aims for the promotion of international level research by exchanging scientific ideas among researchers, practitioners, scientists and engineers. The yearly event series started in 2012 from the combination of the Brazilian Symposium on Artificial Intelligence – SBIA (21 editions) and the Brazilian Symposium on Neural Networks – SBRN (12 editions).

In this year, it will be held in conjunction with the Robotica 2016 (http://www.robotica.org.br/), XIII ENIAC - Encontro Nacional de Inteligência Artificial e Computacional, IV KDMile - Symposium on Knowledge Discovery, Mining and Learning; and the Thesis and Dissertation Contest - X Concurso de Teses e Dissertações em Inteligência Artificial e Computacional (CTDIAC).

http://www.cin.ufpe.br/~bracis2016/
bracis2016@gmail.com

TOPICS OF INTEREST:

• Agent-based and multi-agent systems
• Cognitive modeling and human interaction
• Constraints and Search
• Foundations of AI
• Distributed AI
• Information retrieval, integration, and extraction
• Knowledge Representation and Reasoning (including Commonsense
Reasoning, Model-Based Reasoning, Probabilistic Reasoning, Approximate Reasoning)
• Knowledge Representation and Reasoning in Ontologies and the Semantic Web
• Logic based Knowledge Representation and Reasoning
• Natural Language Processing
• Planning and Scheduling
• Evolutionary Computation
• Fuzzy Systems
• Neural Networks
• Machine Learning and Data Mining
• Metalearning
• Molecular and quantum computing
• Pattern Recognition and Cluster Analysis
• Swarm Intelligence
• Hybrid Systems
• Bioinformatics and bioengineering
• Combinatorial and numerical optimization
• Computer Vision
• Education
• Forecasting
• Game Playing and Intelligent Interactive Entertainment
• Intelligent Robotics
• Multidisciplinary AI and CI
• Other AI and CI related topics

ASOC JOURNAL AND SPECIAL ISSUES

Authors of selected papers will be invited to submit extended versions of their work to be appreciated for publication in a fast track process of Applied Soft Computing (ASOC) - Elsevier +ISSN: 1568-4946 (Impact Factor 2.857)

Additionally, two special issues are also confirmed this year:

Natural Computing – Springer +ISSN: 1567-7818 (Impact factor 0.757)

New Generation Computing – Springer and Ohmsha publisher +ISSN: 0288-3635 (Impact factor 0.533)

SUBMISSION DETAILS

Access Instructions for Authors - BRACIS tab for more details.

PUBLICATION POLICY

At least one author of each accepted paper (BRACIS, ENIAC, KDMILE) must be registered in Conference event as FULL REGISTRATION fee.

Each full registration covers up to two accepted papers in any event (e.g., 2 BRACIS papers, 1 BRACIS + 1 ENIAC paper, 1 ENIAC + 1 KDMILE paper,...).

If you have more than 2 papers accepted in BRACIS, ENIAC and KDMILE, you must pay the Extra Paper Fee for each paper beyond the second.

IMPORTANT DATES

- Paper submission: 15th May, 2016 5th June, 2016 (NEW)

- Notifications to authors: 30th June, 2016 10th July, 2016

- Camera-ready copy due: 20th July, 2016 5th August, 2016

BRACIS Local Organizers

Ricardo Prudêncio, Universidade Federal de Pernambuco (rbcp@cin.ufpe.br)

Teresa Ludermir, Universidade Federal de Pernambuco (tbl@cin.ufpe.br)

BRACIS Program Chair

Myriam Delgado, Universidade Tecnológica Federal do Paraná (myriamdelg@utfpr.edu.br)

Renata Vieira, Pontifícia Universidade Católica do Rio Grande do Sul (renata.vieira@pucs.br)

Promotion – Sociedade Brasileira de Computação
Support – Centro de Informática (CIN-UFPE)

2016: BRACIS

The Program Committee of the 5th Brazilian Conference on Intelligent System (BRACIS) invites submissions of original research papers for the conference, to be held in Recife, Pernambuco, from October 9th to 12th, 2016.

Publicado: 2018-01-29

An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering

Ellen Souza, Adriano L. I. Oliveira, Alisson Silva, Gustavo Oliveira, Diego Santos

A Comparative Study of Group Profiling Techniques in Co-Authorship Networks

João Emanoel Ambrósio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento

Tabu Search with Ejection Chain for the Biobjective Adjacent-only Quadratic Spanning Tree

Sílvia M. D. M. Maia, Elizabeth F. G. Goldbarg, Lucas D. M. dos S. Pinheiro, Marco C. Goldbarg

Investigating How “Good” Characteristics’ Presence are Related with Questions’ Performance

Cleyton Souza, José Remígio, Franck Aragão, Evandro Costa, Joseana Fechine,

Topic Modeling for Short Texts with Co-occurrence Frequency-based Expansion

Gabriel Pedrosa, Marcelo Pita, Paulo Bicalho, Anisio Lacerda, Gisele L. Pappa

An Ontology for Property Crime based on Events from UFO-B Foundational Ontology

Cleyton Mario de Oliveira Rodrigues, Frederico Luiz Gonçalves de Freitas, Ryan Ribeiro de Azevedo

Finding Inference Rules using Graph Mining in Ontological Knowledge Bases

Lucas Fonseca Navarro, Estevam R. Hruschka Jr., Ana Paula Appel

A proposal for tuning the α parameter in a copula function applied in fuzzy rule-based classification systems

Giancarlo Lucca, Graçaliz P. Dimuro, Benjamín Bedregal, José Ântonio Sanz, Humberto Bustince

Authorship attribution via network motifs identification

Vanessa Queiroz Marinho, Graeme Hirst, Diego Raphael Amancio

Co-MLM: a SSL algorithm based on the Minimal Learning Machine

Weslley L. Caldas, Joao P. P. Gomes, Michelle G. Cacais, Diego P. P. Mesquita

Fault Detection in Hard Disk Drives Based on Mixture of Gaussians

Lucas P. Queiroz, Francisco Caio M. Rodrigues, João Paulo P. Gomes, Felipe T. Brito, Iago C. Brito, Javam C. Machado

Automatic selection of learning bias for active sampling

Davi P. dos Santos, Andre C. P. L. F. de Carvalho

Hyper-parameter Tuning of a Decision Tree Induction Algorithm

Rafael G. Mantovani, Tomás Horváth, Ricardo Cerri, Joaquin Vanschoren, André C. P. L. F. de Carvalho

Evaluating Binary Encoding Techniques for WiSARD

Andressa Kappaun, Karine Camargo, Fabio Rangel, Fabrício Firmino, Priscila Machado Vieira Lima, Jonice Oliveira

Towards Knowledge Transfer in Deep Reinforcement Learning

Ruben Glatt, Felipe Leno da Silva, Anna Helena Reali Costa

No-Reference Image Quality Assessment Using Texture nformation Banks

Pedro Garcia Freitas, Welington Y.L. Akamin, Mylene C.Q. Farias
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