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MIPRO 2020 – 43rd International ICT Convention
January 16th, 2020 
Daniela Lopez de Luise DigiHealthSouth 2020 – EAI International Conference on Digital Healthcare Technologies for the Global South
January 14th, 2020 Daniela Lopez de Luise
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IJCNN Special Session on “Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing”
January 14th, 2020 Daniela Lopez de Luise IJCNN Special Session on
Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing
IEEE International Joint Conference on Neural Networks (IJCNN)
July 19-24, 2020, Glasgow, Scotland (UK)
Scope and Aim
Biomedical signal processing involves the analysis and treatment of the physiological electrical activities measured using sensors placed on a living thing, in order to provide useful information on which decisions can be made. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have received a great attention to solve difficult and complex problems related to biosignals analysis and processing; where the traditional signal processing and conventional machine learning techniques have shown their limitations to solve such problems. Indeed, the recent advances in this area have brought an impressive progress to solve several practical and difficult problems in many fields including medicine, e-health, healthcare, neuroscience, brain-computer interface (BCI), neurofeedback, robotics, robotic exoskeletons and biometrics, etc. In this context, the advanced learning techniques such as deep learning, reinforcement learning, deep reinforcement learning, statistical learning have shown their effectiveness to resolve various problems of detection, classification, clustering, segmentation, control, diagnosis, etc.; and thus becomes useful solutions to be investigated more for other open problems.
The aim of this special issue is to bring together researchers and scientists in the fields of biomedical signal processing, AI and ML, to present and discuss the recent advances on learning methods and intelligent approaches for biomedical signal and image processing.
Topics
The main topics that are of interest to this session include, but are not limited to:
- AI for biomedical signal processing and analysis
- ML for biomedical signal processing and analysis
- Advanced ML for biomedical data processing (e.g. deep learning, reinforcement learning, deep reinforcement learning, statistical learning…)
- Biomedical data processing in Big Data
- Advanced biomedical signal and image processing methods with application in medicine, e-health, healthcare, neuroscience, BCI, neurofeedback, robotics, robotic exoskeletons, biometrics, etc.
- Related applications
Important Dates
- Paper Submissions: January 15, 2020
- Paper Acceptance Notifications: March 15, 2020
- Camera Ready Submission of Accepted Papers: April 15, 2020
- Conference: July 19-24, 2020
Submission Guidelines
- This special session will be held in 2020 International Joint Conference on Neural Networks-IJCNN (wcci2020.org/ijcnn-sessions/), as part of 2020 IEEE World Congress on Computational Intelligence (https://wcci2020.org) (Glasgow, Scotland, United Kingdom, July 19-24, 2020).
- All papers should be prepared according to the IJCNN 2020 policy and should be submitted electronically using the conference website (https://wcci2020.org/).
- To submit your paper to this special session, you will choose our special session “S59. Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing” on the submission page https://ieee-cis.org/conferences/ijcnn2020/upload.php
- All papers accepted and presented at IEEE IJCNN/WCCI 2020 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.
Journal Special Issue
A selection of accepted papers will be invited for publication in a special issue of a SCOPUS indexed journal (to be announced).
Organizers
Larbi Boubchir (Lead Organizer)
Associate Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France
Boubaker Daachi (Co-organizer)
Full Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France
Contact and information
Web page : http://www.ai.univ-paris8.fr/~boubchir/SS/ss-ijcnn2020.html
Larbi Boubchir : larbi.boubchir@ai.univ-paris8.fr
IEEE-EAIS2020: IEEE Conference on Evolving and Adaptive Intelligent Systems
January 14th, 2020 Daniela Lopez de Luise ====================================================================
CALL FOR PAPERS – IEEE EAIS2020
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2020 IEEE Conference on
Evolving and Adaptive Intelligent Systems
(IEEE EAIS2020)
Bari (Italy), May 27-29, 2020
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IEEE EAIS 2020 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamic changes. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams.
**** IMPORTANT DATES ****
Paper submission: January 25, 2020 (extended)
Notification: February 19, 2020
Camera ready: March 20, 2020
Authors Registration: March 27, 2020
**** TOPICS ****
Basic Methodologies
Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data Stream Mining. Incremental and Evolving Clustering. Adaptive Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive Statistical Techniques. Evolving Decision Systems. Big Data.
Problems and Methodologies in Data Streams
Stability, Robustness, Convergence in Evolving Systems. Online Feature Selection and Dimension Reduction. Online Active and Semi-supervised Learning. Online Complexity Reduction. Computational Aspects. Interpretability Issues. Incremental Adaptive Ensemble Methods. Online Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine Interaction Issues. Hybrid Modeling, Transfer Learning. Reservoir Computing.
Applications of EAIS
Time Series Prediction. Data Stream Mining and Adaptive Knowledge Discovery. Robotics. Intelligent Transport and Advanced Manufacturing. Advanced Communications and Multi-Media Applications. Bioinformatics and Medicine. Online Quality Control and Fault Diagnosis. Condition Monitoring Systems. Adaptive Evolving Controller Design. User Activities Recognition. Huge Database and Web Mining. Visual Inspection and Image Classification. Image Processing. Cloud Computing. Multiple Sensor Networks. Query Systems and Social Networks. Alternative Statistical and Machine Learning Approaches.
**** SPECIAL SESSIONS ****
– Evolving Business Process Management (EvoBPM)
– Adaptive Machine Learning and Evolving Intelligent Systems
– New Trends in Continual Learning with Deep Architectures
– Recent Advances on Text and Document Streams Mining
– Adaptive Intelligent Systems for “Good” Technologies
– Advances in segmentation of data streams
– Ensemble Methods in Evolving Frameworks
– Evolving and Adaptive Intelligent Systems for Condition Monitoring and Predictive Maintenance in Industry 4.0 scenarios
– Computational Intelligence methods in bioinformatics
**** SUBMISSIONS ****
Submitted papers should not exceed 8 pages plus at most 2 pages overlength.
Submissions of full papers are accepted online through the EasyChair system.
A full registration entitles to publish a maximum of 2 papers by the same registered author.
A student registration covers only one accepted paper.
EAIS2020 proceedings will be published on IEEE Xplore Digital Library. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of an international journal.
**** SOCIAL ****
FB: https://www.facebook.com/EAIS2020/
Twitter: https://twitter.com/2020Eais
Linkedin: https://www.linkedin.com/events/ieeeconferenceonevolvingandadaptiveintelligentsyst/
Telegram: https://t.me/eais2020
**** HONORARY CHAIRS ****
Plamen Angelov, Lancaster University, UK
Dimitar Filev, Ford Motor Co., USA
Nikola Kasabov, Auckland University of Technology, New Zealand
**** GENERAL CHAIRS ****
Giovanna Castellano, University of Bari Aldo Moro, Italy
Corrado Mencar, University of Bari Aldo Moro, Italy
**** CONTACTS ****
Any inquiries can be directed to info.eais2020@uniba.it
Canadian AI 2020 — 2nd call for papers
January 14th, 2020 Daniela Lopez de Luise SECOND CALL FOR PAPERS
Canadian AI 2020 – 13-15 May 2020 in Ottawa
https://www.caiac.ca/en/conferences/canadianai-2020
The 33rd Canadian Conference on Artificial Intelligence (Canadian AI 2020)
will take place in Ottawa, Ontario, 12 May to 15 May, 2020. The event is
collocated with the Computer and Robot Vision (CRV) conference. These
events (AI·CRV 2020) will bring together hundreds of leaders in research,
industry, and government, as well as Canada's most accomplished students.
They showcase Canada's ingenuity, innovation and leadership in intelligent
systems and advanced information and communications technology.
We invite papers that present original work in all areas of Artificial
Intelligence, either theoretical or applied. Canadian AI 2020 welcomes
submissions on topics including (but not limited to) search, planning,
knowledge representation, reasoning, natural language processing, robotics
and perception, multiagent systems, statistical learning, and deep learning.
We expressly encourage work that cuts across technical areas or applies
AI techniques in the context of important domains such as e-commerce,
games, healthcare, sustainability, and transportation.
We also welcome the submission of position papers, which present
evidence-based arguments for a particular point of view without necessarily
presenting a new system. There will be an option during the submission
process to indicate that a paper is a position paper.
As in previous years, accepted papers will be published by Springer in the
Lecture Notes in Artificial Intelligence series.
We are glad to announce that Canadian AI 2020 has the following confirmed
keynote speakers:
* Giuseppe Carenini (University of British Columbia),
* Pascal Poupart (University of Waterloo), and
* Csaba Szepesvari (University of Alberta),
as well as a tutorial by Pierre-Luc Bacon from Université de Montréal.
*** Important dates ***
Submission deadline: January 17th, 2020
(Note: We are running on a tight schedule this year, significant extension
is unlikely.)
Author notification: February 21st, 2020
Final papers due: March 7th, 2020
Conference: May 13-15th, 2020
*** Submissions details ***
We invite submissions of both long and short papers. Long papers must be no
longer than 12 pages, including references, formatted using the Springer
LNCS/LNAI style. Short papers must be no longer than 6 pages, including
references, in the LNAI style. We provide a sample, but authors should
consult Springer’s authors’ guidelines and use their proceedings templates,
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Papers submitted to the conference must not have already been published, or
accepted for publication, or be under review by a journal or another
conference.
Submissions will go through a double-blind review process by Program
Committee members to assess originality, significance, technical merit, and
clarity of presentation. As such, submissions must be anonymized, and papers
that fail to do so will be rejected without review. A “Best Paper Award”
and a “Best Student Paper Award” will be given at the conference respectively
Committee.
Submissions must be made via EasyChair:
https://easychair.org/conferences/?conf=canadianai2020
*** Program co-chairs ***
Cyril Goutte, National Research Council Canada (NRC)
Xiaodan Zhu, Queens University
https://www.caiac.ca/en/conferences/canadianai-2020/committees
*** Publication ***
The conference proceedings will be published by Springer in the Lecture
Notes in Artificial Intelligence (LNCS/LNAI). A paper will be accepted
either as a long or as a short paper. Long papers will be allocated 12
pages while short papers will be allocated 6 pages in the proceedings.
Authors of accepted papers will be allocated time for an oral presentation
at the conference and will have the opportunity to present their work in a
poster session. At least one author of each accepted paper is required to
attend the conference to present the work. The authors must agree to this
requirement prior to submitting their paper for review.
In addition, the corresponding author of each paper, acting on behalf of all
of the authors of that paper, must complete and sign a Consent-to-Publish
form. The corresponding author signing the copyright form should match
the corresponding author marked on the paper. Once the files have been
sent to Springer, changes relating to the authorship of the papers cannot
be made.