Program

Join us for ICAPAI (online) on May 21.st, 08:20 CET! 

ICAPAI logo, colors
 

 

 

Scheduele (CET)

08:20-08:55     Introductory Session  
08:20-08:25     Welcome

Professor Ricardo Colomo-Palacios
General Chair, ICAPAI 2021

08:20-08:25     Speech

Harald Holone
Local Chair, ICAPAI 2021

08:30-08:55     Key-Note

Professor Pauline Catriona Haddow
Neuroevolution in Deep Learning
Norwegian University of Science and Technology, Norway

09:00-10:00 Session 1 Session Chair: Tomas Nordlander
09:00 - 09:15 Paper number 7 An Industrial Assistance System with Manual Assembly Step Recognition in Virtual Reality Leon Eversberg, Philipp Grosenick, Marvin Meusel and Jens Lambrecht
09:15 - 09:30 Paper number 10 Application of Artificial Intelligence to Deepwater Offshore Drilling: BOP Control Expert System William R Nelson
09:30 - 09:45 Paper number 12 Smith Predictor Approximation for Industrial Control Applications with Genetic Algorithms Monica Patrascu
09:45 - 10:00 Paper number 26 Training models employing physico-chemical properties of DNA for protein binding site detection Gergely Pap, László Tóth and Zoltán Hegedűs
10:15-11:15 Session 2 Session Chair: Hasan Ogul
10:15 - 10:30 Paper number 8 Detecting Overlapping Pharmaceutical Infusion Bags using Convolutional Neural Network Hans Olav Randem, Jens-Patrick Langstrand, Hoa T. Nguyen and Harald P-J Thunem
10:30 - 10:45 Paper number 29 Deepsynthbody: the beginning of the end for data deficiency in medicine Vajira Thambawita, Steven A. Hicks, Jonas Isaksen, Mette Haug Stensen, Trine B. Haugen, Jørgen Kanters, Sravanthi Parasa, Thomas Lange, Håvard D. Johansen, Hugo Hammer, Pål Halvorsen and Michael A. Riegler
10:45 - 11:00 Paper number 37 Automatic Facial Expression Recognition for the Interaction of Individuals with Multiple Disabilities Carmen Campomanes-Álvarez and B. Rosario Campomanes-Álvarez
11:00 - 11:15     Identifying Medically-compromised Patients with Periodontitis-Associated Cardiovascular Diseases Using Convolutional Neural Network-facilitated Multilabel Classification of Panoramic Radiographs Kevin Sheng-Kai Ma, Yu-Jia Liou, Po-Hao Huang and Po-Shao Lin
11:30-12:30 Session 3 Session Chair: Professor Ricardo Colomo-Palacios
11:30 - 11:45

Paper number

9 Data mining application for the collection of scheduled power outages made by electricity distributors in Peru Alexander Diaz Maldonado
11:45 - 12:00 Paper number 16 Machine learning with subsequent physics-based analytics for guiding transport planning. Mandar Tabib, Adil Rasheed and Tanu Priya Uteng
12:00 - 12:15 Paper number 28 Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning Supratik Chatterjee and Arvind Keprate
12:15 - 12:30 Paper number 31 Impact of Model Ensemble On the Fairness of Classifiers in Machine Learning Patrik Joslin Kenfack, Adil Mehmood Khan, Syed Muhammad Ahsan Kazmi, Rasheed Hussain, Alma Oracevic and Asad Masood Khattak
12:30-13:00 Break    
13:00-14:00 Session 4 Session Chair: Jonas Aamodt Moræus
13:00 - 13:15 Paper number 25 LS-CAT: A Large-Scale CUDA AutoTuning Dataset Lars Bjertnes, Jacob O. Tørring and Anne C. Elster
13:15 - 13:30

Paper number

27 Improving Pairs Trading Strategies via Reinforcement Learning Cheng Wang, Patrik Sandas and Peter Beling
13:30 - 13:45 Paper number 34 Counterfactual Explanations for Multivariate Time Series Emre Ates, Burak Aksar, Vitus Leung and Ayse Coskun
13:45 - 14:00 Paper number 38 Graph Restrictions for Signal Processing of Homicides Data Juan Sebastián Moreno Pabón, Sebastian Quintero, Mateo Dulce Rubio, Alvaro Riascos and Gustavo Nonato
14:15-15:00 Session  5 Session Chair: Kazi Shah Nawaz Ripon
14:15 - 14:30 Paper number 15 TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection Praveen Damacharla, Achuth Rao M. V., Jordan Ringenberg and Ahmad Javaid
14:30 - 14:45 Paper number 17 Interpretability Of The Perception Of Security Based On  Tweets Content Luisa Fernanda Chaparro, Cristian Pulido, Jorge Rudas, Ana Maria Reyes, Jorge Victorino, Luz Narvaez, Darwin Martinez and Francisco Gómez
14:45 - 15:00 Paper number 18 Low power on-line machine monitoring at the edge Bert Boons, Marian Verhelst and Peter Karsmakers
15:15-15:35     Closing Session
15:15 - 15:30     Closing Note

AI Collaborations Between Academic Institutions and Industry - Just Do It


Klas H. Pettersen
CEO, Norwegian Artificial Intelligence Research Consortium (NORA)

15:30-15:35     Thanks and Closing

Jonas Aamodt Moræus
Institute for Energy Technology (IFE), Norway

 

Published May 6, 2021 11:21 AM - Last modified May 10, 2021 3:42 PM