IKE Lab@HVL, Norway
Intelligent Knowledge Engineering
07 Dec 2020


Tentative Program - ICPR-IADS 2020

IADS and IWCR are merged together in ICPR 2020. We will host the live session for the workshop, I will then send the link to authors before the workshop date. Each presentation requires 20 minutes including Q&A (3-5 minutes). Please send me (jerrylin@ieee.org) a link/files to access your slides/video of your presentation before 24th, Dec, 2020.

Presentation date:

  • 11th January, 2021

Time: (see the workshop program)

  • The workshop starts from: CET 12:00 PM (workshop time)
    • same as: LA 3:00 AM, NY 6:00 AM, SYD 10:00 PM, BEIJING 7:00 PM

File: here is the link, valid until 17/01/2021

Tentative Program:

Time Program Chair
12:00-12:10 Welcome and overview of the workshop

Jerry Chun-Wei Lin

Stefania Tomasiello

Gautam Srivastava

12:10-12:50 Invited Talk

Prof. Philippe Fournier-Viger

Harbin Institute of Technology, Shenzhen, China

Topic: Advances and Challenges for the Automatic Discovery of Interesting Pattern in Data [abstract]

Jerry Chun-Wei Lin
12:50-13:00 Q&A and discussion

A PSO-based Sanitization Process with Multi-Thresholds Model

Jimmy Ming-Tai Wu, Gautam Srivastava, Shahab Tayeb, and Jerry Chun-Wei Lin

Stefania Tomasiello

Fake Review Classification using Supervised Machine Learning

Hanif Khan, Muhammad Usama Asghar, Muhammad Zubair Asghar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, and Thippa Reddy Gadekallu


Defect Detection of Stainless Steel Plates Using Deep Learning Technology

Yu-Jen Huang, Ko-Wei Huang, and Shih-Hsiung Lee


Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice

Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, and Gautam Srivastava


Data Augmentation for a Deep Learning Framework for Ventricular Septal Defect Ultrasound Image Classification

Shih-Hsin Chen, I-Hsin Tai, Yi-Hui Chen, Ken-Pen Weng, and Kai-Sheng Hsieh


A neural network model for lead optimization of MMP12 inhibitors

Tewodros M. Dagnew, Claudio Silvestri, Debora Slanzi, and Irene Poli


An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline

Hassan Eldeeb, Shota Amashukeli, and Radwa El Shawi

15:20-15:40 Input-aware Neural Knowledge Tracing Machine

Moyu Zhang, Xinning Zhu, and Yang Ji

15:40-16:00 Break

Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks

Florian Heidecker, Abdul Hannan, Maarten Bieshaar, and Bernhard Sick

Gautam Srivastava

Intelligent and Interactive Video Annotation for Instance Segmentation using Siamese Neural Networks

Jan Schneegans, Maarten Bieshaar, Florian Heidecker,  and Bernhard Sick


Imputation of Rainfall Data using improved Neural Network Algorithm

Po Chan Chiu, Ali Selamat, Ondrej Krejcar, and King Kuok Kuok

17:00-17:20 Novelty based Driver Identification on RR Intervals from ECG Data

Florian Heidecker, Christian Gruhl, and Bernhard Sick


Link prediction in social networks by Variational Graph Autoencoder and similarity-based methods: a brief comparative analysis

Sanjiban Sekhar Roy, Aditya Ranjan, and Stefania Tomasiello


A Hybrid Wine Classification Model for Quality Prediction

Terry Hui-Ye Chiu, Chien-Wen Wu, and Chun-Hao Chen


Task-specific Novel Object Characterization

Gertjan J. Burghouts

18:20-18:30 Conclusion Jerry Chun-Wei Lin

Stefania Tomasiello

Gautam Srivastava


news-events Comments Off on IADS-program