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BRACIS 2021 : 10th Brazilian Conference on Intelligent Systems (BRACIS)

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Link: http://c4ai.inova.usp.br/bracis/
 
When Nov 29, 2021 - Dec 3, 2021
Where online
Submission Deadline Jun 20, 2021
Notification Due Jul 30, 2021
Final Version Due Aug 19, 2021
Categories    artificial intelligence   computational intelligence   machine learning
 

Call For Papers

10th Brazilian Conference on Intelligent Systems (BRACIS)

http://c4ai.inova.usp.br/bracis/

Online Event

November 29 - December 03, 2021

)))) Deadline for paper submissions: June 20, 2021 ((((

)))) CALL FOR PAPERS ((((

The Program Committee of the 10th Brazilian Conference on Intelligent System (BRACIS) invites submissions of original research papers for the conference from November 29th to December 3th, 2021. Due to the COVID pandemic and the sanitary and economical related issues, the conference will be held online. BRACIS 2021 will be organized by C4AI Center for Artificial Intelligence (https://c4ai.inova.usp.br/).

BRACIS is the most important event 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 traditional 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.

IMPORTANT DATES

- Paper submission - May 31, 2021

- Notification to authors - July 30, 2021

- Camera-ready copy due - August 19, 2021

SPECIAL ISSUES

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.

SUBMISSION DETAILS

*** 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).

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. Springer’s proceedings LaTeX templates are also available in Overleaf .

All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings, and submitted for publication in Springer in Lecture Notes in Computer Science (LNCS) / Lecture Notes in Artificial Intelligence (LNAI) series.

Only PDF files can be uploaded in the submission system.



SUBMISSION SYSTEM

JEMS - Journal and Event Management System

https://jems.sbc.org.br/jems2/

TOPICS OF INTEREST

Topics of interest include (but are not restricted to):

Agent-based and Multi-Agent Systems
AI in Emerging Countries: Public Policies and the Future of Work
Bioinformatics and Biomedical Engineering
Cognitive Modeling and Human Interaction
Combinatorial and Numerical Optimization
Computer Vision
Constraints and Search
Decision Making in Food Production Networks
Deep Learning
Distributed AI
Education
Evolutionary Computation and Metaheuristics
Forecasting
Foundations of AI
Fuzzy Systems
Game Playing and Intelligent Interactive Entertainment
Graph-Oriented Machine Learning
Hybrid Systems
Information Retrieval, Integration, and Extraction
Intelligent Robotics
Knowledge-Enhanced Machine Learning
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
Machine Learning and Data Mining
Machine Learning for Medical Diagnosis
Meta-learning
Molecular and Quantum Computing
Multidisciplinary AI and CI
Natural Language Processing
Natural Language Processing in Portuguese
Neural Networks
Pattern Recognition and Cluster Analysis
Planning and Scheduling
Reinforcement Learning

GENERAL CHAIR

Reinaldo A. C. Bianchi, Centro Universitário FEI and C4AI

Zhao Liang, Universidade de São Paulo (USP) and C4AI

PROGRAM CHAIRS:

André Britto, Universidade Federal de Sergipe (UFS) (andre@dcomp.ufs.br)

Karina Valdivia Delgado, Universidade de São Paulo (USP) (kvd@usp.br)

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