CALL FOR PAPERS
WORKSHOP ON INTEGRATED ARTIFICIAL INTELLIGENCE IN DATA SCIENCE, jointed with ICPR 2020
Milan, Italy, 10-15, January 2021 (Workshop 11th, January 2021)
Session Organizers
Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Norway, jerrylin@ieee.org
Stefania Tomasiello, University of Tartu, Estonia, stefania.tomasiello@ut.ee
Gautam Srivastava, Brandon University, Canada, SRIVASTAVAG@brandonu.ca
Contact Person: Jerry Chun-Wei Lin, jerrylin@ieee.org
Workshop Description:
Artificial Intelligence (AI) has now become an emerging research topic since it can be used to solve high-complexity problems and figure out the optimized solutions in many applications and domains, which also has huge potential to create a better society. The beneficial deployment of AI in science, medicine, technology, humanities and social sciences has already been shown. Data science, also referred as pattern analytics and mining, can be used to retrieve useful and meaningful information from the databases, which is helpful to make the efficient decision and strategies regarding different domains and applications. In particular, due to the exponential grow of data in recent years, the dual concept of big data and AI has given rise to many research topics, such as scale-up behaviour from the former classical algorithms.
A recent challenge is also represented by the integration of multiple AI technologies, as emerging from different fields (e.g. vision, security, control, bio-informatics), in order to develop efficient and robust systems interacting in the real world. In spite of the tremendous progress on core AI technologies over the last years, the integration of such competencies into larger systems that are reliable, transparent and maintainable is still at the beginning stage. There are still numerous open issues both from the theoretical and practical perspective.
Topics of interest include, but are not restricted to the following areas:
– data analytics by AI techniques
– evolutionary computation in big datasets
– data-driven AI systems
– machine learning algorithms
– fuzzy modelling and uncertain systems
– data reduction techniques
– deep-learning algorithms in big datasets
– information granularity in high-dimensional data
– pattern mining by machine learning and optimization techniques
– neural network data analytics and prediction
– AI-based applications in data science
Technical Program Committee
- Siddhartha Bhattacharyya, Technical University of Ostrava, Czechia
- Chien-Fu Cheng, Tamkang University, Taiwan
- Chun-Hao Chen, National Taipei University of Science and Technology, Taiwan
- Xiaochun Cheng, Middlesex University University, UK
- Youcef Djenouri, SINTEF Digit, Norway
- Ali Dehghantanha, University of Guelph, Canada
- Vicente Garcia Diaz, University of Oviedo, Spain
- Liang Hu, University of Essex, UK
- Tzung-Pei Hong, National University of Kaohsiung, Taiwan
- Alireza Jolfaei, Macquarie University, Australia
- Vincenzo Loia, University of Salerno, Italy
- Huimin Lu, Kyushu Institute of Technology, Japan
- Jerry M. Mendel, University of Southern California, USA
- Matin Pirouz Nia, California State University, Fresno, USA
- Reza Parizi, Kennesaw State University, USA
- Yulei Wu, University of Exeter, UK
- Gautam Srivastava, Brandon University, Canada
- Xuyun Zhang, University of Auckland, New Zealand
- Ji Zhang, University of Southern Queensland, Australia
- Jun Wu, Shanghai Jaio Tong University, China
Submission Types
Workshop procceedings follow the Spinger format, please use this link to download the template: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
- Full paper (12-15 pages)
- Short paper (6-8 pages)
- No abstracts / demo and other submissions having fewer than 4 pages
Submission Site
https://easychair.org/conferences/?conf=icpriads2020
Important Dates
- Paper Submission Deadline:
15th June, 2020, 10th, October, 2020 - Notification of Acceptance:
15th July 2020, 10th, November, 2020 - Camera Ready Paper Deadline:
30th July 2020,15th, November, 2020 - Finalized Workshop Program:
15th August 2020, 1st, December, 2020 - Workshop Date: 11th January, 2011