| First day: Thursday, October 3rd | |
| 09:30-10:30 | Dr. Bruce M. Boghosian, President of the American University of Armenia (AUA) in Yerevan: Welcome and Introduction of AUA
Dr. Aram Hajian, CSE Dean, Associate Professor, Director of Engineering Research Center: Address and Substantive Positioning Prof. Dr. Gregor Schiele/Wolfram Luther: A Brief Review of CODASSCA History and Perspectives of Duisburg-AUA Collaboration |
| 10:30-11:00 | Keynote Presentation by Arnak Dalalyan: Parallelized Midpoint Randomization for Langevin Monte Carlo |
| 11:00-11:30 | COFFEE BREAK |
| DATA SCIENCE AND INFORMATION THEORETIC APPROACHES FOR SMART SYSTEMS | |
| 11:30-11:50 | Haroutunian, M.: Outer Bound for Rate-Reliability-Equivocation Region of Compound Wiretap Channel with Informed Terminals |
| 11:55-12:25 | Chen, Y.: Application of Identification Codes to the Two-Party Privacy-Preserving Record Linkage (PPRL) |
| 12:30 – 14:00 | LUNCH BREAK |
| COMPUTER SYSTEM ORGANIZATION | |
| 14:00 – 14:30 | Ling, T., Mansour, I., Qian, C., and Schiele, G.: An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic Node Hardware |
| 14:35-15:05 | Buron, L., Einhaus, L., Erbslöh, A., and Schiele, G.:Towards Training DNNs with Quantized Parameters |
| 15:10-15:40 | COFFEE BREAK |
| POSTER SESSION | |
| 15:45-16:00 | Gohar Khachatryan: A Novel Thermal Image Coloring Neural Network for Enhanced Nighttime Scene Perception |
| 16:05-16:20 | Shushanik Gortsunyan: Enhancing Thermal Images Through Sharpening and Edge Detection with Novel Neural Networks for Improved Computer Vision Tasks |
| 16:25-16:50 | Valdivia, R., Baloian, N., Chahverdian, M., Adamyan, A., and Harutyunyan, A.: An Explainable Clustering Algorithm using Dempster-Shafer Theory |
| 19:00 | CONFERENCE DINNER |
| Second day: Friday, October 4th | |
| HUMAN-CENTERED COMPUTING–RELIABLE MACHINE LEARNING | |
| 09:00-09:30 | Galdames, P., Gutiérrez-Soto, C., and Palomino, M.: Ensembling Machine Learning Models for Malware Detection |
| 09:35-10:05 | Inoue, T. and Sasaki, K.:Design of Feedback for a System to Support Distance Project-Based Learning |
| 10:10-10:30 | Aharonyan, N. G., and Ohanyan, V. K.: Orientation-Dependent Chord Length Distribution Functions of Bounded Convex Domains |
| 10:35 – 11:00 | COFFEE BREAK |
| 11:00 – 11:30 | Baloian, N. and Luther, W.: Assessing Glaucoma Online Tools |
| 11:35-11:55 | Vardazaryan, A. and Grigoryan, A.: Color Image Enhancement with Quaternion Fourier Transform-Based Alpha-Rooting |
| 12:00-12:20 | Bayramyan A. and Grigoryan, A.: Novel Gradient-Based Retinex Method for Image Enhancement |
| 12:20-14:00 | LUNCH BREAK |
| 14:00-14:30 | Luther, W. and Harutyunyan A.: Fairness in the Use of Medical Online Tools |
| 14:35-14:55 | Mikayelyan A. and Harutyunyan, A.: Exploring Design Aspects of an AI-supported Farming Platform |
| INTERPRETABILITY IN MACHINE LEARNING MODELS | |
| 15:00-15:20 | Baloyan, A., Aramyan, A., Baloian, N., Poghosyan, A., Harutyunyan, A., and Peñafiel, S.: An Empirical Analysis of Feature Engineering for Dempster-Shafer Classifier as a Rule Validator |
| 15:20-15:40 | COFFEE BREAK |
| 15:40-16:00 | Sargsyan, A.: Interpretability of Machine Learning Models in the Insurance Sector |
| 16:05-16:25 | Baloian, N., Davtyan, E., Petrosyan, K., Poghosyan, A., Harutyunyan, A., and Peñafiel, S.: Embedded Interpretable Regression using Dempster-Shafer Theory |
| 16:30-16:50 | Tarkhanyan, A. and Harutyunyan, A.: Improving the DSGD Classifier with an Initialization Technique for Mass Assignment Functions |
| 16:55-17:30 | Invited talk: Valentin Barriere: Achieving Explainability in Deep Learning |