IADS Workshop – ICPR 2020

INTEGRATED ARTIFICIAL INTELLIGENCE IN DATA SCIENCE

For ICPR 2020

Milan, Italy September 13-18, 2020

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 

 

Important Dates

  • Paper Submission Deadline: 1st May, 2020
  • Notification of Acceptance: 1st June 2020
  • Camera Ready Paper Deadline: 1st July 2020
  • Finalized Workshop Program: 15th August 2020
  • Conference Dates: 13th-18th Sept 2020

 

Keynote Speaker (tentative): Phillips Yu, University of Illinois at Chicago, USA

 Topic: Correlated Utility-Based Pattern Mining

 

Technical Program Committee (all confirmed)

  • Vincenzo Loia, University of Salerno, Italy
  • Tzung-Pei Hong, National University of Kaohsiung, Taiwan
  • Bay Vo, Ho Chi Minh City University of Technology, Vietnam
  • Jimmy Ming-Tai Wu, Shangdong University of Science and Technology, China
  • Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Norway
  • Mu-En Wu, National Taipei University of Science and Technology, Taiwan
  • Matin Nia, University of South California, Fresno, USA
  • Kim-Kwang Raymond Choo, University of Texas at San Antonio, USA
  • Ali Dehghantanha, University of Guelph, Canada
  • Xiaochun Cheng, Middlesex University University, UK
  • Yulei Wu, University of Exeter, UK
  • Vincent Poor, Princeton University, USA
  • Reza Parizi, Kennesaw State University, USA
  • Jerry M. Mendel, University of Southern California, USA
  • Gautam Srivastava, Brandon University, Canada
  • Alireza Jolfaei, Macquarie University, Australia
  • Neeraj Kumar, Thapar Institute of Engineering, India
  • Xuyun Zhang, University of Auckland, New Zealand
  • Huimin Lu, Kyushu Institute of Technology, Japan
  • Jun Wu, Shanghai Jaio Tong University, China
  • Philippe Fournier-Viger, Harbin Institute of Technology, Shenzhen, China
  • Youcef Djenouri, NTNU, Norway
  • David Camacho,Universidad Politécnica de Madrid, Spain
  • Siddhartha Bhattacharyya, Technical University of Ostrava, Czechia
  • Liang Hu, University of Essex, UK

 

Tentative Program (Afternoon Session)

 

SUBSLOT

SPEAKER

TITLE

CHAIR

13:30 – 13:40

Welcome and Opening

Jerry Lin

13:40 – 14:20

Phillips Yu

Correlated Utility Based Pattern Mining

Jerry Lin

14:20 – 15:00

Invited Talk: TBA

TBA

Jerry Lin

15:00 – 15:10

Authors 1

Paper 1

Stefania Tomasiello

15:10 – 15:20

Authors 2

Paper 2

15:20 – 15:30

Authors 3

Paper 3

15:30 – 15:40

Authors 4

Paper 4

15:40 – 16:00

Coffee Break

16:00 – 16:10

Authors 5

Paper 5

Gautam Srivastava

16:10 – 16:20

Authors 6

Paper 6

16:20 – 16:30

Authors 7

Paper 7

16:30 – 16:40

Authors 8

Paper 8

16:40 – 17:00

Closing

 

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