Second Call For Papers – BRACIS 2023 – 12th Brazilian Conference on Intelligent Systems

12th Brazilian Conference on Intelligent Systems (BRACIS)
Belo Horizonte, MG, Brazil, September 25th to 29th, 2023.
https://www.bracis.dcc.ufmg.br/

*** Deadline for paper submissions EXTENDED: May 18th, 2023 ***

The Program Committee of the 12th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Belo Horizonte, MG, Brazil, from September 25th to 29th, 2023, at the UFMG.

BRACIS is one of the most important events 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). The conference aims to promote theoretical aspects and applications of Artificial and Computational Intelligence and exchange scientific ideas among researchers, practitioners, scientists, and engineers.

IMPORTANT DATES

– Paper submission – May 18th, 2023.
– Notification to authors – July 19th, 2023.
– Camera-ready copy due – August 10th, 2023.

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Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI).

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.

Submissions must be made online using the JEMS system: https://jems.sbc.org.br/bracis2023

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 to the submission system.

TOPICS OF INTEREST

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, and 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
– Meta-learning
– Reinforcement Learning
– Molecular and Quantum Computing
– Pattern Recognition and Cluster Analysis
– Hybrid Systems
– Bioinformatics and Biomedical Engineering
– Combinatorial and Numerical Optimization
– Computer Vision
– Education
– Forecasting
– Game Playing and Intelligent Interactive Entertainment
– Intelligent Robotics
– Multidisciplinary AI and CI
– Foundation Models
– Human-centric AI
– Ethics

GENERAL CHAIR

Gisele Pappa (UFMG)
Wagner Meira Jr (UFMG)

PROGRAM CHAIRS

Reinaldo A. C. Bianchi (Centro Universitário FEI)
Murilo Nardi (UFSCAR)

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ACDL 2023, 6th Advanced Course on Data Science & Machine Learning – From Deep Learning to Foundation Models | June 10-14 | Riva del Sole Resort & SPA > Early Registration: by May 23 * Hurry up! There are only 25 free places left! *

*** Hurry up! There are only 25 free places left! ***

ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models

If you want to learn  
Transformers,
Large language models (e.g. GPT family, BERT, Megatron-Turing NLG, …)
Vision – Large-scale vision models (e.g. MAE, SimCLR, …)
Vision and language (e.g. DALL.E, ALIGN, CLIP, …)
Beyond vision and language (e.g. video, Knowledge-Graph, structured data, multilingual, …)
and much more
then take part in ACDL 2023! 😉

Riva del Sole Resort & SPA – Tuscany, Italy, June 10-14
https://acdl2023.icas.cc   acdl@icas.cc

EARLY REGISTRATION: by May 23
https://acdl2023.icas.cc/registration/
Oral Presentation Submission Deadline: by May 23 (AoE)

LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.
https://acdl2023.icas.cc/lecturers/

Luca Beyer, Google Brain, Zürich, Switzerland 
Lecture 1: “Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2”
Lecture 2: “Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2”
Lecture 3: “Transformers 1/2”
Lecture 4: “Transformers 2/2”

Aakanksha Chowdhery, Google Brain, USA     
Lecture 1: TBA
Lecture 2: TBA

Thomas Kipf, Google Brain, USA 
Lecture 1: “Graph Neural Networks 1/2”
Lecture 2: “Graph Neural Networks 2/2”
Lecture 3: “Structured Representation Learning for Perception 1/2”
Lecture 4: “Structured Representation Learning for Perception 2/2”

Pushmeet Kohli, DeepMind, London, UK                 
Lectures: TBA

Yi Ma, University of California, Berkeley, USA
Lecture 1: “An Overview of the Principles of Parsimony and Self-Consistency: The Past, Present, and Future of Intelligence”
Lecture 2: “An Introduction to Low-Dimensional Models and Deep Networks”
Lecture 3: “Parsimony: White-box Deep Networks from Optimizing Rate Reduction”
Lecture 4: “Self-Consistency: Closed-Loop Transcription of Low-Dimensional Structures via Maximin Rate Reduction”

Gerhard Paass, Fraunhofer Institute – IAIS, Germany
Lecture 1: “Introduction to Foundation Models”
Lecture 2: “Foundation Models for Retrieval Applications”
Lecture 3: “Combining Foundation Models with External Text Resources”
Lecture 4: “Approaches to Increase Trustworthiness of Foundation Models2

Panos Pardalos, University of Florida, USA
Lecture : “Diffusion capacity of single and interconnected networks”

Qing Qu, University of Michigan, USA
Lecture 1: “Low-Dimensional and Nonconvex Models for Shallow Representation Learning”
Lecture 2: “Low-Dimensional Structures in Deep Representation Learning I”
Lecture 3: “Low-Dimensional Structures in Deep Representation Learning II”
Lecture 4: “Robust Learning of Overparameterized Networks via Low-Dimensional Models”

Alex Smola, Amazon, USA (TBC)

Zoltan Szabo, LSE, London, UK 
Lecture 1: “Shape-Constrained Kernel Machines and Their Applications”
Lecture 2: “Beyond Mean Embedding: The Power of Cumulants in RKHSs”

Michal Valko, DeepMind Paris & Inria France & ENS MVA
Lecture 1: “Reinforcement learning”
Lecture 2: “Deep Reinforcement Learning”
Lecture 3: “Learning by Bootstrapping: Representation Learning”
Lecture 4: “Learning by Bootstrapping: World Models”

TUTORIAL SPEAKERS:
Each Tutorial Speaker will hold more than four lessons on one or more research topics.

Raphaël Berthier, EPFL, Switzerland 
Lecture 1: “Implicit Regularization in Neural Networks”
Lecture 2: “Incremental Learning in Diagonal Linear Networks”
Lecture 3: “Approaches to Study Dynamics of Neural Networks”
Lecture 4: “The Fast-Slow Regime of Neural Networks”

Bruno Loureiro, École Normale Supérieure, France 
Lectures 1-10: “Wonders of high-dimensions: the maths and physics of Machine Learning”
              
Varun Ojha, Newcastle University, UK
Lecture 1: “Characterization of Deep Neural Networks”
Lecture 2: “Backpropagation Neural Tree”
Lecture 3: “Sensitivity Analysis of Deep Learning and Optimization Algorithms”

https://acdl2023.icas.cc/lecturers/

PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/

ACDL 2023 VENUE:
Riva del Sole Resort & SPA
Località Riva del Sole – Castiglione della Pescaia (Grosseto)
CAP 58043 – Tuscany – Italy
p: +39-0564-928111
f: +39-0564-935607
e: events@rivadelsole.it
w: www.rivadelsole.it
https://acdl2023.icas.cc/venue/

PAST EDITIONS: https://acdl2023.icas.cc/past-editions/

REGISTRATION: https://acdl2023.icas.cc/registration/

CERTIFICATE & 8 ECTS:
PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and  will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course.
At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points.

Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA.

See you in Riva del Sole in June!
              Giuseppe Nicosia & Panos Pardalos – ACDL 2023 Directors.

6th Advanced Course on Data Science & Machine Learning – ACDL2023
10-14 June
Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy
An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders
The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.

9th International Conference on machine Learning, Optimization & Data science – LOD 2023 September 22 – 26, 2023 – Grasmere, Lake District, England – UK 
Paper Submission Deadline: May 10
ACAIN 2023, the 3rd International Advanced Course & Symposium on Artificial Intelligence & NeuroscienceSeptember 22 – 26, 2023 – Grasmere, Lake District, England – UK 
Paper Submission (Symposium): by April 26 (AoE)
Early Registration (Course): by April 26
The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.

Abstract Due May 23: CDTE 2023 Data Technology and Engineering, Oct 2-5, USA & Online

2023 OkIP International Conference on Data Technology and Engineering
(CDTE)
Downtown Oklahoma City, OK, USA & Online
October 2-5, 2023
https://eventutor.com/e/CDTE003
OkIP Published & Submission to SCOPUS/WoS
Submission Deadline: May 23, 2023
Extended versions of the best papers will be considered for publication
in the inaugural volume of Data Sciences, an International Journal.

*** Contribution Types (Two-Column IEEE Format Style):
– Full Paper: Accomplished research results (6 pages)
– Short Paper: Work in progress/fresh developments (3 pages)
– Extended Abstract/Poster/Journal First: Displayed/Oral presented (1
page)

>> Areas:
* Data Advanced Concepts
* Data Analytics and Processing
* Databases
* AI in Data and Big Data
* Data and Databases Applications
* Data and Legal Issues

>> Important Dates:
– Abstract or Paper Submission: May 23, 2023
– Author Notification: June 30, 2023
– Camera Ready Paper Submission, Registration: July 16, 2023
– Conference Date: October 2-5, 2023

>> Technical Program Committee
https://eventutor.com/event/35/page/136-committee

Please feel free to contact us for any inquiries at:
Kris Zeuti
OkIP Secretariat
info@okipublishing.com

HAWAII HICSS-57 2024 Conference: Soft Computing minitrack announcement

I would like to inform you that the 57th Hawai'i International Conference on System Sciences (HICSS) will be held in Honolulu Island, Hawaii, USA, January, 3-6, 2024.  Under such a great scenario, we are managing a minitrack called Soft Computing: Theory Innovations and Problem Solving Benefits Minitrack. The objective of this minitrack is to highlight the importance of Soft Computing advances in the current systems sciences field.

You are hereby invited to submit your papers regarding any of the soft computing theories or applications to the conference.

The Selected outstanding manuscripts from this minitrack will be recommended to the editors of Frontiers in Artificial Intelligence to be fast-tracked for the review process.

 

Important Dates for Paper Submission

  • April 15: Paper Submission System Reopened for HICSS-57
  • June 15: Paper Submission Deadline
  • August 17: Notification of Acceptance/Rejection
  • September 22: Deadline for Authors to Submit Final Manuscript for Publication
  • October 1: Deadline for at least one author of each paper to register for the conference

 

For more information, please visit the website of the conference

https://hicss.hawaii.edu/

Please forward this message on to your colleagues who may be interested in attending

Best regards,
Minitrack Co-Chairs:

Enrique Herrera-Viedma
University of Granada
viedma@decsai.ugr.es

Francisco Javier Cabrerizo
University of Granada
cabrerizo@decsai.ugr.es

Ignacio Javier Pérez
University of Granada
ijperez@decsai.ugr.es

ICONIP2023 Call for Paper, Sessions, Tutorials and Workshops

Dear Colleague,

The 30th International Conference on Neural Information Processing (ICONIP2023) will be held in Changsha, China, November 20-23, 2023. ICONIP为中国计算机学会(CCF C类会议. ICONIP is the annual flagship conference of Asia Pacific Neural Network Society (APNNS). The topics of ICONIP 2023 cover the areas of neural network theory and applications, computational neuroscience, machine learning, and more. For more information, please see the conference website: http://www.iconip2023.org/

   Researchers are invited to contribute high-quality papers, sessions, tutorials and workshops to ICONIP2023. For more detailed information about the call for Papers, Invited Sessions and Tutorials and Workshops, please see the website respectively:

Call for Paper: http://www.iconip2023.org/

Call for Invited Sessions: http://www.iconip2023.org/web_invited_sessions.htm,

Call for Invited Tutorials and Workshops: http://www.iconip2023.org/web_tutorials_and_workshops.htm.

Paper Submission: http://www.iconip2023.org/web_submission.htm

IMPORTANT DATES:

Paper: Paper Submission Deadline: Jun 10, 2023

Invited Sessions: Deadline for proposals: May 10, 2023

Tutorials and Workshops: Deadline for proposals: June 30, 2023

For any questions about ICONIP2023, please feel free to contact the Secretart at: iconip2023@126.com

We look forward to receiving your research contributions and we will be happy to host you in Changsha, China. Thank you for your continued interest in the conference.

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