Programs

Workshops

First International Workshop on Literature-Based Discovery (LBD 2020)

11 May | 9:00 to 12:30 GMT+8 | Session B


Organizers

Neil R. Smalheiser, University of Illinois at Chicago, U.S.A.
Yakub Sebastian, Charles Darwin University, Australia

Website http://scientificarbitrage.com/lbd-2020/

Invited talk

Community-guided Hypothesis Generation
Gus Hahn-Powell (University of Arizona)

Accepted Papers

  • 1: Matching Biomedical Ontologies with Compact Evolutionary Algorithm
    Xingsi Xue (Fujian University of Technology), Pei-Wei Tsai (Swinburne University of Technology)
  • 9: Towards Expert Preference on Academic Article Recommendation Using Bibliometric Networks
    Yu Zhang (University of New South Wales), Min Wang (University of New South Wales), Morteza Saberi (University of Technology Sydney), Elizabeth Chang (University of New South Wales)
  • 10: Research in Progress: Explaining the Moderating Effect of Massively Multiplayer Online (MMO) Games on the Relationship between Flow and Game Addiction Using Literature-Based Discovery (LBD)
    Wendy Hui (Lingnan University, Curtin University), Wai Kwong Lau (University of Western Australia)
  • 16: A Network Approach for Mapping and Classifying Shared Terminologies between Disparate Literatures in the Social Sciences
    Cristian Mejia (Tokyo Institute of Technology), Yuya Kajikawa (Tokyo Institute of Technology)
  • 13: Towards Creating a New Triple Store for Literature-Based Discovery
    Anna Koroleva (Zurich University of Applied Sciences, Swiss Institute of Bioinformatics), Maria Anisimova (Zurich University of Applied Sciences, Swiss Institute of Bioinformatics), Manuel Gil (Zurich University of Applied Sciences, Swiss Institute of Bioinformatics)
  • 19: Who is Who in Literature-Based Discovery: Preliminary Analysis
    Andrej Kastrin (University of Ljubljana), Dimitar Hristovski (University of Ljubljana)

Workshop on Data Science for Fake News (DSFN 2020)

11 May | 9:00 to 12:30 GMT+8 | Session C


Organizers

Tanmoy Chakraborty, Indraprastha Institute of Information Technology
Deepak P, Queen’s University Belfast
Cheng Long, Nanyang Technological University
Santhosh Kumar G., Cochin University of Science and Technology
Hridoy Sankar Dutta, Indraprastha Institute of Information Technology (Web Chair)

Website: http://lcs2.iiitd.edu.in/PAKDD_workshop_DSFN.html

Invited talk

Some Lessons Learned in Detecting and Explaining Fake News on Social Media
Huan Liu and Kai Shu
Arizona State University, Tempe, AZ

Accepted Papers

  • 1: Adversarial Deep Factorization for Recommender Systems
    Ziqing Chen (University of Waterloo), Yiwei Zhang (Kings college London), and Zongyang Li (The University of Sydney)
  • 2: Detection of spammers using modified diffusion convolution neural network
    Hui Li (School of Software, Dalian University of Technology), Wenxin Liang (School of Software, Dalian University of Technology) and Zihan Liao (School of Software, Dalian University of Technology)
  • 8: Dynamics Of Online Toxicity In The Asia-Pacific Region
    Thomas Marcoux (University of Arkansas at Little Rock), Adewale Obadimu (University of Arkansas at Little Rock) and Nitin Agarwal (University of Arkansas at Little Rock)

Workshop on Learning Data Representation for Clustering (LDRC 2020)

11 May | 14:00 to 17:30 GMT+8 | Session D


Organizers

Lazhar Labiod, University of Paris, France
Mohamed Nadif, University of Paris, France
Allou Same, l’Institut français des sciences et technologies des transports, de l’aménagement et des réseaux, France.

Website: https://sites.google.com/view/pakdd-workshop-ldrc2020/home

Invited Talk

Probabilistic Collaborative Representation Learning
Aghiles Salah (Singapore Management University)

Accepted Papers

  • 1: Predictive K-means with local models
    Vincent Lemaire (Orange Labs, Lannion, France), Oumaima Alaoui Ismaili (Orange Labs, Lannion, France), Antoine Cornuéjols (AgroParisTech, Université Paris-Saclay, Paris, France), Dominique Gay (LIM-EA2525, Université de La Réunion)
  • 2: Automatic Detection of Sexist Statements Commonly Used at the Workplace
    Dylan Grosz (Stanford University) and Patricia Conde-Cespedes (Institut supérieur d’ électronique de Paris)
  • 3: Hybrid Dimensionality Reduction Technique for Hyperspectral Images using Random Projection and Manifold Learning
    Alkha Mohan (National Institute of Technology Karnataka) and Venkatesan M (National Institute of Technology Karnataka)
  • 5: Clustering spatial data via mixture models with dynamic weights
    Allou Samé (COSYS-GRETTIA, Univ Gustave Eiffel, IFSTTAR)

Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM 2020)

11 May | 14:00 to 17:30 GMT+8 | Session C


Organizers

Shafiq Alam, shafiq@cs.auckland.ac.nz
Gillian Dobbie, gill@cs.auckland.ac.nz

Website: https://bdm.blogs.auckland.ac.nz/

Invited Talk

Opening and Introduction to Bio-Inspired Data Mining
Shafiq Alam (The University of Auckland) and Gillian Dobbie (The University of Auckland)

Accepted Papers

  • 2: Temporal Convolutional Network based Transfer Learning for Structural Health Monitoring of Composites
    Shaista Hussain (Institute of High Performance Computing), Luu Trung Pham Duong (Singapore University of Technology and Design), Nagarajan Raghavan (Singapore University of Technology and Design), and Mark Hyunpong Jhon (Institute of High Performance Computing)
  • 4: Dilated Convolutional Recurrent Deep Network with Transfer Learning for Remaining Useful Life Prediction
    Jing Yang Lee (Nanyang Technological University), Ankit K. Das (Institute of High Performance Computing), Shaista Hussain (Institute of High Performance Computing), and Yang Feng (Institute of High Performance Computing)
  • 5: Generative Modeling for Synthesis of Cellular Imaging Data for Low-cost Drug Repurposing Application?
    Shaista Hussain (Institute of High Performance Computing), Ayesha Anees (Institute of High Performance Computing), Ankit K. Das (Institute of High Performance Computing), Binh P. Nguyen (Victoria University of Wellington), Mardiana Marzuki (Singapore Immunology Network, ASTAR), Shuping Lin (Skin Research Institute of Singapore, ASTAR), Graham Wright (Skin Research Institute of Singapore, ASTAR), and Amit Singhal (Skin Research Institute of Singapore, ASTAR)

First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)

11 May | 9:00 to 12:30 GMT+8 | Session D


Organizers

Sharanya Eswaran, Games24x7
Magy Seif El-Nasr, Northeastern University
Tridib Mukherjee, Games24x7

Website: https://web.northeastern.edu/guii/gii/

Invited Talk

Keynote Talk
Africa Perianez

New Methodology for Interactive Behavior Analytics
Sabbir Ahmed, Erica Kleinman and Magy Seif El-Nasr (Northeastern University)

AI for Online Real-Money Skill Games
Tridib Mukherjee (Games24x7, India)

Accepted Papers

  • 2: A Study of Game Payment Data Mining: Predicting High-value Users for MMORPGs
    Junxiang Jiang