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Canadian AI 2021 : 34th Canadian Conference on Artificial Intelligence

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Link: https://www.caiac.ca/en/conferences/canadianai-2021/call-papers
 
When May 25, 2021 - May 28, 2021
Where Vancouver
Submission Deadline Feb 12, 2021
Notification Due Mar 19, 2021
Final Version Due Apr 2, 2021
Categories    artificial intelligence   computational intelligence   NLP   machine learning
 

Call For Papers

The 34th Canadian Conference on Artificial Intelligence (Canadian AI 2021) will take place virtually in Vancouver, 25 May to 28 May, 2021. The event is collocated with the Computer and Robot Vision (CRV) conference. These events (AI·CRV 2021) 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 2021 welcomes submissions on topics including but not limited to):

Agent Systems
AI Applications
Automated Reasoning
Bioinformatics and BioNLP
Case‐based Reasoning
Cognitive Models
Constraint Satisfaction
Data Mining
E‐Commerce
Evolutionary Computation
Games
Information Retrieval and Search
Information and Knowledge Management
Knowledge Representation
Machine Learning
Multimedia Processing
Natural Language Processing
Neural Nets and Deep Learning
Planning
Privacy-preserving Computation
Robotics
Uncertainty
User Modeling
Web Mining and Applications

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.

We are glad to announce that Canadian AI 2021 has the following confirmed keynote speakers: Doina Precup (McGill University), Graham Taylor (University of Guelph), and Osmar R. Zaïane (University of Alberta).

Important dates
Submission deadline: February 21st, 2021 (11:59 p.m. UTC-12)
Author notification: March 28th, 2021
Final papers due: April 11th, 2021
Main conference: May 25-28th, 2021

Submission details
We invite submissions of both long and short papers. Long papers must be no longer than 12 pages, and Short papers must be no longer than 6 pages, including references, formatted using the conference template. The authors should consult the authors’ guidelines and use the provided proceedings templates, either for LaTeX or for Word, to prepare their papers.
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 to the authors of each best paper, as judged by the Best Paper Award Selection Committee.

Publication
The conference proceedings will be published in PubPub open access online format (https://www.pubpub.org/), and submitted to be indexed/abstracted in leading indexing services such as DBLP, ACM, Google Scholar. 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.

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