2024; notifications by August 10, 2024; and camera-ready copies by August
20, 2024. The conference features a double-anonymous review process and
introduces four tracks, including a new “Published Papers in Top Venues” track. Best papers may be invited for special issue publications.
Submissions are via
JEMS. More details are as follows.
###################################################################
The Program Committee of the 34th Brazilian Conference on Intelligent
Systems (BRACIS) invites submissions of original research papers for the
conference to be held in Belém, PA, Brazil. **First edition in the North
Region** from November 17th to 21st, 2024.
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 12 editions,
will now be recognized as the 34th edition when considering its history and
the 21 editions of SBIA. The 34th 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 in a similar period
in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS
(formerly called NIPS). The 33 previous editions of BRACIS highlight the
pioneering of the Brazilian AI Community.
*Please note that this year, we are inaugurating the track submissions.
See further details in the Submission Details section. *
IMPORTANT DATESa
– Paper submission – June 13th, 2024 – AoE*
– Notification to authors – August 10th, 2024.
– Camera-ready copy due – August 20th, 2024.
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
Please note that the 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.
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 appear in the
anonymous version, and you should inform the PC chairs that 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-double-anonymous review process.
We strongly encourage making code and data available anonymously (e.g., in
an anonymous GitHub repository via Anonymous GitHub or in a Dropbox folder).
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 ConferenceProceedings 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 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 JEMS.
** ATTENTION – About the use of LLMs **
Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or
similar LLMs do not meet the article authorship criteria for BRACIS 2024.
However, we encourage articles that describe research on or involving such
advanced 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
Acknowledgments section, with no harm in the evaluation process.
***** Tracks submission: New in this edition ****
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 in
2023 or 2024 (as a guide, consider the international rankings CS Metrics and CS rankings 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 1-page extended abstract (without references) that does not
violate the copyright 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
– Probabilistic Reasoning, and Approximate Reasoning
– 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
– Meta-learning
– Reinforcement Learning
– Molecular and Quantum Computing
– Pattern Recognition and Cluster Analysis
– Hybrid Systems
– Bioinformatics and Biomedical Engineering using AI
– Combinatorial and Numerical Optimization
– Computer Vision
– Education for AI and AI for Education
– Forecasting
– Game Playing and Intelligent Interactive Entertainment
– Intelligent Robotics
– Multidisciplinary AI and CI
– Foundation Models
– Large Language Models
– Human-centric AI
– Generative AI
– Ethics in AI
GENERAL CHAIR
André Ponce (ICMC/USP)
PROGRAM CHAIRS
Aline Paes (IC/UFF)
Filipe A. N. Verri (IEC/ITA)

June 4th, 2024

Daniela Lopez de Luise
19th Conference on Computer Science and Intelligence Systems
FedCSIS 2024 (IEEE #61123; SCOPUS; Web of Science)
www.fedcsis.org Belgrade, Serbia, 8–11 September, 2024 (on-site)
(submission deadline: May 14, 2024)
The mission of the FedCSIS Conference Series is to provide a
presentation, discussion and a reputable publication forum in computer
science and intelligence systems. The forum invites researchers and
practitioners from around the world to contribute their research
results focused on their scientific and professional interests in a
chosen area.
The FedCSIS conference consists of the Main Track and Thematic Tracks.
Papers submitted to the Main Track can be assigned, by their authors,
to Topical Areas, which are managed by Topical Area Curators. Based on
the scope of the contribution, Topical Area Curators select its
reviewers from the Main Track Program Committee. Besides the Main
Track, the authors may prefer to submit their papers to Thematic
Tracks, as listed below.
For all five Topical Areas, situated within a general domain of
Computer Science, the continually emerging topic of Intelligence
Systems stands as the common denominator. All Thematic Tracks also
refer to the Intelligence Systems from different perspectives. They
are regarded as a path toward introducing more Intelligence into
Computer Science and IT.
Main Track:
+ Topical Area 1: Advanced Artificial Intelligence in Applications
+ Topical Area 2: Computer Science & Systems
+ Topical Area 3: Network Systems and Applications
+ Topical Area 4: Information Technology for Business and Society
+ Topical Area 5: Software, System and Service Engineering
Thematic Tracks –> the following Thematic Tracks are confirmed for
FedCSIS 2024 (for more details, see conference WWW site):
* Advances in Programming Languages (APL)
* AI in Agriculture (AgriAI)
* AI in Digital Humanities, Computational Social Sciences and
Economics Research (AI‑HuSo)
* Application of Disruptive Technologies for Society 5.0 (ADTS)
* Challenges for Natural Language Processing (CNLPS)
* Complex Networks – Theory and Application (CN‑TA)
* Computational Optimization (CO)
* Computer Aspects of Numerical Algorithms (CANA)
* Data Science in Health, Ecology and Commerce (DSH)
* Industrial Cyber-Physical Systems and Software Agents (ICPS‑SA)
* Information Systems Management (ISM)
* Internet of Things – Enablers, Challenges and Applications (IoT‑ECAW)
* Knowledge Acquisition and Management (KAM)
* Model Driven Approaches in System Development (MDASD)
* Multimedia Applications and Processing (MMAP)
* Recent Advances in Information Technology – Doctoral Symposium (DS‑RAIT)
* Resilience in Critical Infrastructures and Systems (RCIS)
* Rough Sets: Theory and Applications (RSTA)
* Scalable Computing (SC)
Keynote Speakers:
Jovanovic, Jelena
University of Belgrade, Serbia
Keynote title: Learning analytics: Challenges and opportunities opened by AI
Kutyniok, Gitta
Ludwig-Maximilians-Universität München (LMU Munich)
Keynote title: Reliable AI: Successes, Challenges, and Limitations
Tolvanen, Juha-Pekka
Metacase, Finland
Keynote title: Languages for non-developers: what, how, where?
Frank, Urlich
University of Duisburg-Essen, Germany
Keynote title: Multi-Level Language Architectures: Fostering Reuse,
Integration and User Empowerment by Allowing for Additional
Abstraction
Professor Zdzisław Pawlak Awards:
Professor Zdzisław Pawlak (1926–2006) has been regarded as one of the
fathers of Computer Science in Poland. His theory of Rough Sets has
been one of the most recognizable contributions made by a scientist in
Poland to the area of Artificial Intelligence worldwide. In his
research, Professor Pawlak has always emphasized the need for
cross-disciplinary, cross-country, and cross-generation cooperation.
In Computer Science, there may emerge a brilliant idea in someone’s
head, but it requires collaborators to make it grow dynamically and
then – a number of subject matter experts, from various fields, to
develop its practical applications.
The following categories of awards are eligible for all paper
submitted to the FedCSIS conference:
+ Best Paper Award (€600): the best out of all papers accepted to
the conference.
+ Young Researcher Award (€400): the best out of papers whereby all
authors are younger than 40 years.
+ Industry Cooperation Award (€400): the best out of papers whereby
there are at least two different authors, one working in academia and
another one in industry.
+ International Cooperation Award (€400): the best out of papers
whereby there are at least two different authors working in
institutions located in two different countries.
We believe that all these categories reflect the principles of
Professor Pawlak’s work. The awards are decided by the Committee of
esteemed scientists, who have had the privilege to know and cooperate
with Professor Pawlak. As already mentioned, all papers – submitted to
all parts of FedCSIS – are eligible. This way, the thematic integrity
of FedCSIS is emphasized. List of past winners is available at the
conference WWW site.
Important dates:
– Paper submission (no extensions): May 14, 2024
– Position paper submission: June 2, 2024
– Author notification: June 18, 2024
– Final paper submission, registration: July 9, 2024
– Conference date: September 8–11, 2024
Chair of FedCSIS 2024:
Luković, Ivan
University of Belgrade, Serbia
Honorary Chair of FedCSIS Conference Series:
Maciaszek, Leszek A.
Wrocław University of Economics and Business, Poland and Macquarie
University, Australia
Chairs of the FedCSIS Conference Series:
Ganzha, Maria
Warsaw University of Technology and Systems Research Institute, Polish
Academy of Sciences, Poland
Paprzycki, Marcin
Systems Research Institute, Polish Academy of Sciences, Warsaw and
Management Academy, Poland
Ślęzak, Dominik
QED Software and University of Warsaw, Poland and OnstageAI and DeepSeas, USA
Contact:
secretariat@fedcsis.org