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 | |
| 13:00-13:20 |
A PSO-based Sanitization Process with Multi-Thresholds Model Jimmy Ming-Tai Wu, Gautam Srivastava, Shahab Tayeb, and Jerry Chun-Wei Lin |
Stefania Tomasiello |
| 13:20-13:40 |
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 |
|
| 13:40-14:00 |
Defect Detection of Stainless Steel Plates Using Deep Learning Technology Yu-Jen Huang, Ko-Wei Huang, and Shih-Hsiung Lee |
|
| 14:00-14:20 |
Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, and Gautam Srivastava |
|
| 14:20-14:40 |
Shih-Hsin Chen, I-Hsin Tai, Yi-Hui Chen, Ken-Pen Weng, and Kai-Sheng Hsieh |
|
| 14:40-15:00 |
A neural network model for lead optimization of MMP12 inhibitors Tewodros M. Dagnew, Claudio Silvestri, Debora Slanzi, and Irene Poli |
|
| 15:00-15:20 |
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 | |
| 16:00-16:20 |
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks Florian Heidecker, Abdul Hannan, Maarten Bieshaar, and Bernhard Sick |
Gautam Srivastava |
| 16:20-16:40 |
Intelligent and Interactive Video Annotation for Instance Segmentation using Siamese Neural Networks Jan Schneegans, Maarten Bieshaar, Florian Heidecker, and Bernhard Sick |
|
| 16:40-17:00 |
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 |
|
| 17:20-17:40 |
Sanjiban Sekhar Roy, Aditya Ranjan, and Stefania Tomasiello |
|
| 17:40-18:00 |
A Hybrid Wine Classification Model for Quality Prediction Terry Hui-Ye Chiu, Chien-Wen Wu, and Chun-Hao Chen |
|
| 18:00-18:20 |
Task-specific Novel Object Characterization Gertjan J. Burghouts |
|
| 18:20-18:30 | Conclusion | Jerry Chun-Wei Lin
Stefania Tomasiello Gautam Srivastava |