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BRACIS 2020 : 9th Brazilian Conference on Intelligent Systems (BRACIS)


When Oct 20, 2020 - Oct 23, 2020
Where Brazil
Submission Deadline May 30, 2020
Notification Due Jun 30, 2020
Final Version Due Jul 20, 2020
Categories    artificial intellingence   machine learning   computational intelligence   intelligent systems

Call For Papers

Call For Papers
9th Brazilian Conference on Intelligent Systems (BRACIS)
Rio Grande, RS, Brazil, October 20 - 23, 2020

)))) NEW deadline for paper submissions: May 30, 2020 ((((
)))) BRACIS 2020 will be a virtual (online) conference ((((

)))) COVID UPDATE ((((
Due to the COVID pandemic and the sanitary and economical related issues, BRACIS 2020 will be a virtual (online) conference. Although we may lose the opportunity of interacting in person, a virtual conference will imply fairly reduced costs for organizers and participants, substantially reducing the registration fees and traveling costs. We’re getting advice from other conferences that are going virtual, and working out the best ways to offer talks and presentations without losing the social aspect that has always been a central part of BRACIS.

The Program Committee of the 9th Brazilian Conference on Intelligent System (BRACIS) invites submissions of original research papers for the conference from October 20th to 23th, 2020. Due to the COVID pandemic, BRACIS 2020 will be a virtual (online) conference.
BRACIS is one of the most important events in Brazil for researchers in the fields of Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions ), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). The conference aims to promote theory and applications of Artificial and Computational Intelligence. BRACIS also aims for the promotion of international level research by exchanging scientific ideas among researchers, practitioners, scientists, and engineers.


- Paper submission - May 30, 2020 )))) NEW Deadline (hard) ((((
- Notification to authors - June 30, 2020
- Camera-ready copy due - July 20, 2020


Authors of selected papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference.


*** Please, note that BRACIS submission is double-blind *** This means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity.
Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI).
*** New submission format *** Submitted papers must be written in English, and not exceed 15 pages, including all tables, figures, references, and appendices.
Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines
All submitted papers will be reviewed by at least three experts in the field and accepted papers will be included in the BRACIS proceedings, and submitted for publication in Springer (pending approval).
Only PDF files can be uploaded in the submission system.


JEMS - Journal and Event Management System


Topics of interest include (but are not restricted to):
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 and Metaheuristics
Fuzzy Systems
Neural Networks
Deep Learning
Machine Learning and Data Mining
Reinforcement Learning
Molecular and Quantum Computing
Pattern Recognition and Cluster Analysis
Hybrid Systems
Bioinformatics and Biomedical Engineering
Combinatorial and Numerical Optimization
Computer Vision
Game Playing and Intelligent Interactive Entertainment
Intelligent Robotics
Multidisciplinary AI and CI


Helida Salles Santos, Universidade Federal do Rio Grande (FURG)
Graçaliz Pereira Dimuro, Universidade Federal do Rio Grande (FURG)
Eduardo Nunes Borges, Universidade Federal do Rio Grande (FURG)
Leonardo Emmendorfer, Universidade Federal do Rio Grande (FURG)


Ricardo Cerri, Universidade Federal de São Carlos (UFSCAR)
Ronaldo Cristiano Prati, Universidade Federal do ABC (UFABC)

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