BRACIS 2025 Call for Papers - *The 35th Brazilian Conference on Intelligent
Systems (BRACIS)* will be held in Fortaleza, Brazil, from September 29th to
October 2nd, 2025. This is Brazil's primary AI and CI event. We invite
submissions of research papers on various AI topics and applications.
Please visit the event's website for more information about the location
and venue. Key dates: paper registration by May 7th, 2025; paper submission
by May 12th, 2025; notifications: June 6th, 2025; and camera-ready: June
20th, 2025. The conference introduces four tracks, including two tracks
focused on applications and the "Published Papers in Top Venues" track,
added after the first CFP. Best papers may be invited for special issue
publications. Submissions are via JEMS <https://jems3.sbc.org.br/bracis2025>.
More details are as follows.
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The Program Committee of the 35th Brazilian Conference on Intelligent
Systems (BRACIS) invites submissions of original research papers for the
conference to be held in Fortaleza, CE, Brazil, from September 29th to
October 2nd, 2025.
BRACIS is the most important event in Brazil for researchers interested in
publishing significant and novel results related to 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). BRACIS, which previously had 13 editions,
will now be recognized as the 35th edition when considering its history and
the 21 editions of SBIA. The 35th BRACIS plays a pivotal role in AI in
Brazil, serving as a hub for promoting theoretical concepts and
applications in Artificial and Computational Intelligence. The event
fosters a space for exchanging scientific ideas among researchers,
practitioners, scientists, and engineers working toward advancing
Artificial and Computational Intelligence science. This aligns with the
goals of other major international conferences proposed at a similar time
in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS
(formerly called NIPS). The 34 previous editions of BRACIS highlight the
pioneering of the Brazilian AI Community.
IMPORTANT DATES
- Paper registration - May 7th, 2025 - AoE
- Paper submission - May 12th, 2025 - AoE
- Notification to authors - June 15th, 2025.
- Camera-ready copy due - June 30th, 2025.
SPECIAL ISSUES
Authors of the best papers will be invited to submit extended versions of
their work to be appreciated for publication in special issues after the
conference.
SUBMISSION DETAILS
BRACIS submission is *double-anonymous*. This means that both the reviewer
and author's identities and institutions 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. Papers that disrespect the anonymity will be
desk-rejected. We also strongly encourage making code and data available
anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub
<https://anonymous.4open.science/> or in a Dropbox folder).
If you have published a non-anonymous version of your paper online before
paper submission (e.g., arXiv), you can send an anonymous version to the
conference. No references to the non-anonymous version should be in the
anonymous version, and you should let the PC chairs know there is a
non-anonymous version. You cannot update the online version nor publish
information regarding the work on social media during the paper review
period, as it can compromise the double-anonymous review process.
Submitted *papers must be written in English and be at most 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
<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>.
Springer's proceedings LaTeX templates are also available in Overleaf
<https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WsdHOy5uZpg>
.
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 the Lecture Notes in Artificial
Intelligence (LNAI) series. Only PDF files can be uploaded to the
submission system.
For each accepted paper, at least one author must register for the
conference and present the paper at the conference venue.
Submissions must be made online using JEMS3
<https://jems3.sbc.org.br/bracis2025>.
ATTENTION
Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or
similar LLMs do not meet the article authorship criteria for BRACIS 2025.
However, we encourage articles that describe research on or involving such
AI models and tools. Authors who use an LLM in any part of the article
writing process take full responsibility for all content, including
checking for plagiarism and correcting all text. We suggest that this use
be properly mentioned in the Acknowledgements section, with no harm in the
evaluation process.
***** Tracks submission ****
This year, BRACIS will have four tracks:
1.
Main track: original works showing novel AI methods with sound results.
2.
AI applications for Social Good: original works presenting novel Social
Good applications using established AI methods.
3.
General applications: original works presenting novel applications using
established AI methods, naturally considering the ethical aspects of the
application.
4.
Published papers: papers published in top AI conferences or journals
from 2023 to the current date (as a guide, consider the international
rankings CS Metrics <https://csmetrics.net/> and CS rankings
<https://csrankings.org/#/index?ai&vision&mlmining&nlp&inforet&robotics&us>
by selecting AI area or subareas; others can also be considered).
Tracks 1-3 will have no distinction regarding the publication format and
the publication in the proceedings. For Track 4, authors must submit a
publishable 2-page extended abstract (excluding references) that does not
violate the copyright of the previous publication. Track 4 does not need
to be double-blind, as authors must cite the venue of the previous
publication. The accepted papers of all tracks will have the same slot for
presentation during the conference.
TOPICS OF INTEREST
Submissions should include significant and unpublished research on all
aspects of Artificial Intelligence (AI) or Computational Intelligence (CI).
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
- Commonsense Reasoning
- Model-Based Reasoning
- Automated Reasoning and Approximate Reasoning
- Ontologies and the Semantic Web
- Logic-based Knowledge Representation and Reasoning
- Natural Language Processing
- Planning, Routing and Scheduling
- Evolutionary Computation and Metaheuristics
- Combinatorial Optimization
- Constraint Programming
- Fuzzy Systems
- Machine Learning and Data Mining
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Graph Neural Networks
- Meta-learning
- Large Language Models
- Generative AI
- Quantum Computing
- Pattern Recognition and Cluster Analysis
- Hybrid Systems
- Bioinformatics and Biomedical Engineering using AI
- Computer Vision
- Education for AI and AI for Education
- Forecasting
- Game Playing and Intelligent Interactive Entertainment
- Intelligent Robotics
- Multidisciplinary AI and CI
- Foundation Models
- Human-centric AI
- Ethics in AI
- AI and technological sovereignty
GENERAL CHAIR
Paulo de Tarso Guerra Oliveira (UFC)
PROGRAM CHAIRS
Diego Furtado Silva (ICMC/USP)
Rosiane de Freitas (IComp/UFAM)
--
Rosiane de Freitas, CS Professor
Optimization, Algorithms, and Computational Complexity research group
Institute of Computing - Federal University of Amazonas (IComp/UFAM)
Manaus - Amazonas, Brazil
+55 92 9 8242-4088
---
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