IMPORTANT DATES

Date of conference: 10-13 December 2018

Full manuscript submission deadline: 20 July 2018 22 September 2018 (Extended)

Notification of acceptance: 15 October 2018

Camera ready manuscripts: 1 November 2018

SUBMISSION

Prospective authors are invited to submit original, high qualitymanuscripts of full paper (up to 8 pages including references), shortpaper (up to 4 pages with one additional page for references) and posterpaper (up to 2 pages including references). All submissions must beformatted using the ACM Proceedings Template (using sigconfformat/template) and should consist of one single PDF file.

All accepted papers will be discoverable immediately upon publication inthe ACM Digital Library and indexed by EI and Scopus.

(i) The explicit indications of authors’ names and affiliations as well as acknowledgements must be removed or hidden.

(ii) The papers should not contain any statements which refer to authors’ identity. Authors’ names, affiliations, and acknowledgments will be returned to the printed manuscript upon acceptance for publication.

The reviewing process of the IAIT conference aims to provide authors with constructive feedback on their papers, even when a submission is rejected. All submissions will be subjected to double-blind peer reviews by at least two (2) reviewers, who are expert or have been experiencing in the related field for years. The accepted papers must be revised, taking into consideration the referees’ comments and suggestions, before inclusion in the conference proceedings.

The submission of a paper implies that the paper is original and has not been submitted and published elsewhere.

In addition, at least one full registration is required per accepted paper, and the paper must be presented by an author if accepted.

The templates guide is: http://www.acm.org/publications/article-templates/proceedings-template.html/. If you have any problems with the templates, please contact ACM’s TeX support team at Aptara (acmtexsupport@aptaracorp.com).

IAIT2018 use EasyChair conference system to manage paper submission. In order to submit paper(s) to IAIT2018, you must login to EasyChair website

If you already have EasyChair account, please loginor go to this URL https://easychair.org/conferences/?conf=iait2018

If you do not have an EasyChair account, please follow the steps below.

1. Go to EasyChair account request pageor go to this URL https://easychair.org/conferences/?conf=iait2018 Enter your information to request for creating account.

2. You will get an automatic replied e-mail from EasyChair with the URL link to create EasyChair’s account.

3. Fill the account creation form.

4. Login to EasyChair or go to this URLhttps://easychair.org/conferences/?conf=iait2018 and follows the steps from Easy Chair to submit your paper.

SPEAKERS

Abstract

Recently, deep convolutional neural networks (deep CNN) have become very popular in the field of visual pattern recognition. The neocognitron, which was first proposed by Fukushima (1979), is a network classified to this category. It is a hierarchical multi-layered network. Its architecture was suggested by neurophysiological findings on the visual systems of mammals. It acquires the ability to recognize visual patterns robustly through learning.

Although the neocognitron has a long history, improvements of the network are still continuing. This talk discusses the recent neocognitron, focusing on differences from the conventional deep CNN.

Some other functions of the visual system can also be realized by networks extended from the neocognitron. For example, by adding top-down connections to the neocognitron, function of selective attention can be introduced. The ability of recognizing and completing partly occluded patterns can also be realized.

Biography

Kunihiko Fukushima received a B.Eng. degree in electronics in 1958 and a PhD degree in electrical engineering in 1966 from Kyoto University, Japan. He was a professor at Osaka University from 1989 to 1999, at the University of Electro-Communications from 1999 to 2001, at Tokyo University of Technology from 2001 to 2006; and a visiting professor at Kansai University from 2006 to 2010. Prior to his Professorship, he was a Senior Research Scientist at the NHK Science and Technology Research Laboratories. He is now a Senior Research Scientist at Fuzzy Logic Systems Institute (part-time position), and usually works at his home in Tokyo.

He received the Achievement Award, Distinguished Achievement and Contributions Award, and Excellent Paper Awards from IEICE; the Neural Networks Pioneer Award from IEEE; APNNA Outstanding Achievement Award; Excellent Paper Award, and Academic Award from JNNS; INNS Helmholtz Award; Pioneer Award from ELM2017; and so on. He was the founding President of JNNS (the Japanese Neural Network Society) and was a founding member on the Board of Governors of INNS (the International Neural Network Society). He is a former President of APNNA (the Asia-Pacific Neural Network Assembly).

He is one of the pioneers in the field of neural networks and has been engaged in modeling neural networks of the brain since 1965. His special interests lie in modeling neural networks of the higher brain functions, especially the mechanism of the visual system. In 1979, he invented “neocognitron “, which is a deep CNN (convolutional neural network) and acquires the ability to recognize visual patterns through learning. The extension of the neocognitron is still continuing. By the introduction of top-down connections and new learning methods, various kinds of neural networks have been developed. When two or more patterns are presented simultaneously, the “Selective Attention Model ” can segment and recognize individual patterns in tern by switching its attention. Even if a pattern is partially occluded by other objects, we human beings can often recognize the occluded pattern. An extended neocognitron can now have such human-like ability and can, not only recognize occluded patterns, but also restore them by completing occluded contours. He also developed neural network models for extracting visual motion and optic flow, for extracting symmetry axis, and many others. He is recently interested in new learning rules for neural networks.

Abstract

The Anna Karenina effect is a manifestation of the theory–practice gap that exists when theoretical statistics are applied on real-world data. In the course of analyzing biological data for differential features such as genes or proteins, it derives from the situation where the null hypothesis is rejected for extraneous reasons (or confounders), rather than because the alternative hypothesis is relevant to the disease phenotype. The mechanics of applying statistical tests therefore must address and resolve confounders. It is inadequate to simply rely on manipulating the P-value; indeed, we show how/why this can be the wrong thing to do!) We discuss three mechanistic elements (hypothesis statement construction, null distribution appropriateness, and test-statistic construction) with real-life examples in computational biology, and suggest how they can be designed to foil the Anna Karenina effect to select phenotypically relevant biological features. (This talk is based on joint work with Wilson Wen Bin Goh.)

Biography

Limsoon Wong is Kwan-Im-Thong-Hood-Cho-Temple Chair Professor in the School of Computing at the National University of Singapore (NUS). He was also a professor (now honorary) of pathology in the Yong Loo Lin School of Medicine at NUS. Limsoon currently works mostly on knowledge discovery technologies and their application to biomedicine and data analytics. He is a Fellow of the ACM, inducted in 2013 for his many contributions to database theory and computational biology. His other recent awards include the 2003 FEER Asian Innovation Gold Award for his work on treatment optimization of childhood leukemias, and the ICDT 2014 Test of Time Award for his work on naturally embedded query languages. He co-founded Molecular Connections Pvt Ltd in India in the early 2000s and served as the company’s chairman for a decade and a half, helped helm the steady growth of the company to over 2000 engineers, scientists, and curators, and some 400x increase in value. Limsoon received his BSc(Eng) in 1988 from Imperial College London and his PhD in 1994 from University of Pennsylvania.

Biography

Dr. Sansanee Auephanwiriyakul obtained a bachelor degree from department of Electrical Engineering, Chiang Mai University in 1993. She earned master degree majoring in Electrical and Computer Engineering at University of Missouri-Columbia in 1996. After receiving her Ph.D. degree in Computer Engineering and Computer Science at the same university in 2000, she worked as a post-doctoral fellow at the Computational Intelligence Laboratory, University of Missouri-Columbia. Currently, she is an Assistant Professor at Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Thailand. She is also with Biomedical Engineering Center, Chiang Mai University. Her research interests include neural networks, fuzzy set theory, linguistic algorithms, image processing, neural networks, medical image processing.

https://sansanee.cpe.eng.cmu.ac.th/

REGISTRATION

Our registration system is now open

1. Each publication required at least one full registration or one student registration.

2. A copy of the student ID is required to register with the student rate.

3. An on-sight banquet coupon costs $60 per person.

4. Receipt document of the wire transfer payment will be issued with the final amount of money that the conference organizer receives at the end point.

The registration fee includes:

– Dinner Banquet

– All Keynote address, and The 2nd Deep Learning and Artificial Intelligence Winter School (DLAI 2).

NOTE for Authors :

In order for a paper to be published, the following requirements must be met:

1. The paper must be registered and fully paid for. At least one full registration or one student registration must be paid for each paper.
2. The paper must be presented by one of the authors at the conference.
3. The final paper must be correctly formatted and submitted to iait@sit.kmutt.ac.th.
4. Only one paper of up to 12 pages is included in the regular registration fee. Each additional page will be subject to a charge of $20 per page.

ATTENDANCE IS MANDATORY TO PUBLISH IN THE PROCEEDINGS:

You must attend the conference and present your paper if you want to publish your paper in the Proceedings.

NOTE for NON-AUTHOR ATTENDEES :

We do make invitation letters for non-author attendees, if they have valid reason to attend our conferences and satisfy certain requirements. Please contact us at iait@sit.kmutt.ac.th regarding this.

Our registration system is now open.

COMMITTEE

Honorary Chair

• Borworn Papasratorn, King Mongkut’s University of Technology Thonburi, Thailand

International Advisory Committee

• Chularat Tanprasert, National Electronics and Computer Technology Center, Thailand
• Espandiar Haghverdi, Indiana University, USA
• Farhad Memarzadeh, National Institutes of Health, USA
• Gerald Quirchmayr, Universität Wien, Austria
• Jonathan H. Chan, King Mongkut’s University of Technology Thonburi, Thailand
• Lam Thu Bui, Le Quy Don Technical University, Vietnam
• Lance C. C. Fung, Murdoch University, Australia
• Mark Chignell, University of Toronto, Canada
• Masahiro Inoue, Shibaura Institute of Technology, Japan
• Pascal Bouvry, University of Luxembourg, Luxembourg
• Shi-Min Hu, Tsinghua University, China

General Chair

• Nipon Charoenkitkarn, King Mongkut’s University of Technology Thonburi, Thailand

Program Chairs

• Ashish Ghosh, Indian Statistical Institue, India
• Kriengkrai Porkaew, King Mongkut’s University of Technology Thonburi, Thailand
• Michael Cohen, Aizu University, Japan
• Wichian Chutimaskul, King Mongkut’s University of Technology Thonburi, Thailand

Special Session Chairs

• Hironori Nakajo, Tokyo University of Agriculture and Technology, Japan
• Kittichai Lavangnananda, King Mongkut’s University of Technology Thonburi, Thailand
• Michel Schellekens, University College Cork, Ireland
• Simon Fong, University of Macau, Macau
• Xiangmin Zhang, Wayne State University, USA

Tutorial/Workshop Chairs

• Siam Yamsaengsung, King Mongkut’s University of Technology Thonburi, Thailand
• Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei

Publicity Chairs

• Chandana Gamage, University of Moratuwa, Sri Lanka
• Chonlameth Arpnikanondt, King Mongkut’s University of Technology Thonburi, Thailand
• Sanzo Miyazawa, King Mongkut’s University of Technology Thonburi, Thailand
• Susmita Ghosh, Jadavpur University, India

Panel/Industry Chairs

• Gerard Surendran Saverimuthu, IBM ASEAN
• Narongrit Waraporn, King Mongkut’s University of Technology Thonburi, Thailand
• Natee Limsuwan, Nissan Motor Asia Pacific

Publication Chairs

• Praisan Padungweang, King Mongkut’s University of Technology Thonburi, Thailand
• Shengchao Qin, Teesside University, UK
• Sunisa Sathapornvajana, King Mongkut’s University of Technology Thonburi, Thailand
• Suree Funilkul, King Mongkut’s University of Technology Thonburi, Thailand

Finance Chair

• Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand

Organizing Chair

• Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi, Thailand

Secretary

• Worarat Krathu, King Mongkut’s University of Technology Thonburi, Thailand

Webmasters

• Hafiz Hamidi, Universiti Teknologi Brunei, Brunei
• McAndrian Edmund, Universiti Teknologi Brunei, Brunei
• Panisara Promdee, King Mongkut’s University of Technology Thonburi, Thailand

International Program Committee

• Anongnart Srivihok, Kasetsart University, Thailand
• Ashish Ghosh, Indian Statistical Institue, India
• Asit Kumar Das, Indian Institute of Engineering, India
• Badri Narayan Subudhi, IIT Jammu, Jammu, India
• Biju Issac, Teesside University, UK
• Choochart Haruechaiyasak, National Electronics and Computer Technology Center, Thailand
• Claudio Angione, Teesside University, UK
• Georgios Stylianou, European University Cyprus, Cyprus
• Hironori Nakajo, Tokyo University of Agriculture and Technology, Japan
• Keiichi Kaneko, Tokyo University of Agriculture and Technology, Japan
• Krisana Chinnasarn, Burapha University, Thailand
• Le-Pong Chin, Shih Chien University, Taiwan
• M. A. Razzaque, Teesside University, UK
• Michael Cohen, Aizu University, Japan
• Michel Schellekens, University College Cork, Ireland
• Osama Halabi, Qatar University, Qatar
• Pruthikrai Mahatanankoon, Illinois State University, USA
• Rajarshi Pal, IDRBT, Hyderabad, India
• Rajendra Prasath, Indian Institute of Technology, India
• Rattikorn Hewett, Texas Tech University, USA
• Satyasai Jangannath Nanda, Malaviya National Institute of Technology Jaipur, India
• Shengchao Qin, Teesside University, UK
• Simon Fong, University of Macau, Macau
• Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei
• Susmita Ghosh, Jadavpur University, India
• Thepchai Supnithi, National Electronics and Computer Technology Center, Thailand
• Thitipong Tanprasert, Assumption University, Thailand
• Tsutomu Terada, Kobe University, Japan
• Xiangmin Zhang, Wayne State University, USA
• Yangjun Chen, University of Winnipeg, Canada

Local Program Committee

• Bunthit Watanapa, King Mongkut’s University of Technology Thonburi, Thailand
• Chakarida Nkoolkit, King Mongkut’s University of Technology Thonburi, Thailand
• Chonlameth Arpnikanondt, King Mongkut’s University of Technology Thonburi, Thailand
• Kittichai Lavangnananda, King Mongkut’s University of Technology Thonburi, Thailand
• Kriengkrai Porkaew, King Mongkut’s University of Technology Thonburi, Thailand
• Pornchai Mongkolnam, King Mongkut’s University of Technology Thonburi, Thailand
• Sanzo Miyazawa, King Mongkut’s University of Technology Thonburi, Thailand
• Wichian Chutimaskul, King Mongkut’s University of Technology Thonburi, Thailand