FYI, neural networks are one of the highlighted topics
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Call for Papers
International Seminar on Computational Intelligence 2023
Venue: TIJUANA INSTITUTE OF TECHNOLOGY
Online event
August 30 – 31, 2023
Description
The International Seminar will consist of papers describing research work that integrate different Computational Intelligence (CI) methodologies for the development of hybrid intelligent systems. CI methodologies at the moment include (at least) Neural Networks, Fuzzy Logic, Genetic Algorithms, Intelligent Agents, and Chaos Theory. The use of intelligent techniques, like neural networks, fuzzy logic and genetic algorithms, for real-world problems is now widely accepted. However, still the performance of any of these techniques can be improved, in many situations, by using them in conjunction with other techniques. For example, genetic algorithms can be used to optimize the design of a neural network for time series prediction, or fuzzy logic can be used to combine the information from expert neural modules, just to mention two cases. Also, mathematical methods, like the ones from Chaos and Fractal Theory, can be used in conjunction with intelligent techniques to improve the performance of hybrid systems for real-world applications. The international seminar will consist of papers addressing these hybrid approaches and similar ones, either theoretically or for real-world applications. Also, distinguished internationally recognized invited speakers will give lectures on the main areas of CI. The seminar is intended primarily for researchers and graduate students working on these research areas.
Format and Submission Procedure
Abstracts must be submitted in the following link: https://forms.gle/rkkPnbbGoL7dEu919 by the prospective authors, with Title and authors names and affiliations, and must be submitted as a PDF attachment in the form. After the event the full paper will be submitted for possible publication in Springer-Verlag format (https://www.springer.com/series/7092 ). The papers will then be distributed to the Reviewers for evaluation according to their originality, technical soundness, writing, etc. (At least two reviewers per paper). Notifications of acceptance will then be sent to the authors by email. The proceedings will be published as an Edited Book by Springer-Verlag, Germany.
Important Dates
Abstract Submission deadline:
July 16, 2023
Paper Submission deadline:
September 20, 2023
Paper acceptance notification
October 15, 2023
Camera ready chapter
November 15, 2023
Expected Publication :
June 2024
General Chair: Prof. Dr. Patricia Melin
Program Chair: Prof. Dr. Oscar Castillo
Tijuana Institute of Technology -Mexico
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024
July 5th, 2023 
Daniela Lopez de Luise
20th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems IPMU 2024,
Lisbon, Portugal, July 22–26, 2024 2024
The IPMU conference is organized every two years with the focus of
bringing together scientists working on methods for the management
of uncertainty and aggregation. It also provides a forum for the
exchange of ideas between theoreticians and practitioners in these
and related areas. The 2024 edition of IPMU will take place at
Instituto Superior Tecnico, University of Lisbon, Portugal, located
in a vibrant renovated area 10 minutes from downtown. Lisbon is one
of the oldest cities in the world, and full of stories to tell. A
city where you feel safe wandering around day or night, where
you'll find hotels, restaurants and nightlife to suit every taste,
budget and requirement. A city full of authenticity, where old
customs and ancient history intermix with cultural entertainment
and hi-tech innovation. Lisbon is ageless, but it loves company,
being famous for its hospitality and the family-like way it
welcomes visitors. Lisbon has been elected World's Leading City
Destination at the 2018 World Travel Awards.
Topics and Scope of the Conference
Theory, Methods and Tools
Uncertainty, Computational Intelligence, Bayesian and Probabilistic
Methods, Information Theory, Measures of Information and
Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy
Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria
Decision Methods, Aggregation Methods, Knowledge Representation,
Approximate Reasoning, Non-classical Logics, Default Reasoning,
Belief Revision, Argumentation, Ontologies, Uncertainty in
Cognition, Graphical Models, Knowledge Acquisition, Interpretable
Machine Learning, Evolutionary Computation, Neural Networks, Data
Analysis/Data Science, Explainable AI.
Application Fields
Intelligent Systems and Information Processing, Decision Support,
Database and Information Systems, Information Retrieval and Fusion,
Speech and Natural Language Processing, Image Processing,
Multi-Media, Agents, Pattern Recognition, Medicine and
Bioinformatics, Finance, Software Engineering, Industrial
Engineering, Big Data.
IPMU'2024 solicits original research contributions of theoretical
and methodological nature as well as application-oriented work.
IMPORTANT DATES
Special session proposals: November 24th, 2023
Notification of acceptance special sessions: December 1st, 2023
Paper submission: February 23rd, 2024
Notification of acceptance: March 29th, 2024
Camera-ready paper submission: April 30th, 2024
Early/author registration: April 26th, 2024
Conference: July 22nd-26th, 2024
Program Chairs
Marek Reformat (Canada)
Marie-Jeanne Lesot (France)
Susana Vieira (Portugal)
Publication Chair
Fernando Batista (Portugal)
Executive Directors
Bernadette Bouchon-Meunier (France)
Ronald R. Yager (USA)
Call for Late-Breaking Results, ACM International Conference on Multimodal Interaction (ICMI2023)
July 5th, 2023 Daniela Lopez de Luise 9-13 October 2023, Paris – France
https://icmi.acm.org/2023/doctoral-consortium/
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Based on the success of the LBR in the past ICMI, the ACM International Conference on Multimodal Interaction (ICMI) 2023 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues.
Online Submission
For online paper submissions, please click on the following link:
https://new.precisionconference.com/user/login?next=https%3A//new.precisionconference.com/submissions/icmi23a
Highlights
* Submission deadline: July 16th, 2023, 23:59 PDT (GMT-7)
* Notifications: August 13th, 2023
* Camera-ready deadline: September 3rd, 2023
* Conference Dates: October 9-13, 2023
* Submission format: Anonymized, short paper (four-page paper in a double column format, not including references), following the submission guidelines, available here: https://icmi.acm.org/2023/guidelines-for-authors/
* Selection process: Peer-Reviewed
* Presentation format: Participation in the conference poster session
* Proceedings: Included in Adjunct Proceedings and ACM Digital Library
* LBR Co-chairs: Jean-Marc Odobez and Chi-Chun Lee
What are Late-Breaking Results?
Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track.
Why submit to the Late-Breaking Results track at ICMI?
Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field.
Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are “significant” revisions from the original, as per the ACM and ACM SIGCHI policies.
Submission Guidelines
Extended Abstract: An anonymized short paper, four-page paper in a double column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference: https://icmi.acm.org/2023/guidelines-for-authors/. The paper should be submitted in PDF format and through the ICMI submission system in the “Late-Breaking Results” track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted.
Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person.
Review Process
LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it “fits” the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring some measurable breakthroughs compared to the state-of-the-art of the field.
Attendance
Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be available later on and given on the main page of the website.
Questions?
For more information and updates on the ICMI 2023 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2023/late-breaking-results/.
For further questions, contact the LBR co-chairs (Jean-Marc Odobez and Chi-Chun Lee) at icmi2023-late-breaking-results-chairs@acm.org
The 4th international workshop on Machine Learning for EEG Signal Processing (MLESP)
July 5th, 2023 Daniela Lopez de Luise CALL FOR PAPERS
The 4th international workshop on Machine Learning for EEG Signal Processing (MLESP 2023, https://mlesp2023.sciencesconf.org/) will be held in Istanbul, Turkey, from 5 to 8 December 2023, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023, https://ieeebibm.org/BIBM2023)
Overview
EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought impressive progress in solving several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI, and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss recent advances.
The topics of interest include but are not limited to:
– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications
Important Dates
Oct. 10, 2023 (11:59 pm CST): Due date for full workshop papers submission
Nov. 5, 2023: Notification of paper acceptance to authors
Nov. 21, 2023: Camera-ready of accepted papers
Dec 5-8, 2023: Workshops
Paper Submission
– Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system. You can download the format instruction here:
https://www.ieee.org/conferences/publishing/templates.html
– Electronic submissions in PDF format are required.
Online Submission
Publication
All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.
Contact
Prof. Larbi Boubchir (Workshop Chair), University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr
ICIP2023 – 3DCVP workshop – Call for Papers
July 4th, 2023 Daniela Lopez de Luise CALL FOR PAPERS
Photogrammetry and Computer Vision are two major fields with a significant overlap with Image Processing. We plan to invite presentations of high-quality works on topics that will include novel developments over classic Photogrammetric Computer Vision problems such as Structure from motion and SLAM, as well as papers with a focus on novel learning techniques over 3D geometric data. Topics of interest will include feature extraction, description and matching, multispectral and hyperspectral image processing and fusion, Multi-View Reconstruction and Surface Reconstruction, 3D point cloud analysis and processing, scene understanding, robot vision and perception, path and motion planning.
We warmly welcome contributions of papers targeting the workshop scope, which includes the following topics:
Structure from Motion
Simultaneous Localization and Mapping
Keypoint Detection, Description and Matching
Multispectral Image Processing
Hyperspectral Image processing
Stereo and Multi-View Reconstruction
Surface Reconstruction
3D point cloud analysis and processing
Shape description
Scene analysis and understanding
Segmentation and classification
Robot vision and perception
Path and motion planning
Important Dates
Paper Submission Deadline: July 15th, 2023
Author Notification: July 30th, 2023
Final Manuscript Due: August 5th, 2023
Workshop: October 8th, 2023
Workshop Paper Submissions
Conference papers will be submitted electronically through the workshop submission service website
(https://cmsworkshops.com/ICIP2023/papers/Submission.asp?Type=WS),
For further information on the papers submission process, please visit the workshop website: https://3dcvp.uniwa.gr/
Workshop Co-Chairs
Giorgos Sfikas, Assistant Professor at the University of West Attica (gsfikas@uniwa.gr)
George Retsinas, Postdoc Researcher at the National Technical University of Athens (gretsinas@central.ntua.gr)
Panagiotis Dimitrakopoulos, PhD Candidate at the University of Ioannina (p.dimitrakopoulos@uoi.gr)
Andreas El Saer, PhD Candidate at the University of West Attica (elsaer@uniwa.gr)