Program
We will make Gather town available for users to try the platform before event.
Check here a manual on how to use Gather.
| DAY 1 - December 15th | |||
|---|---|---|---|
| Japan Time | Europe Time | Section A | Section B |
| 16:00 - 16:20 | 08:00 - 08:20 | Opening - Keynote Room | |
| 16:20 - 16:50 | 08:20 - 08:50 |
Origami and Computer Science Jun Mitani Keynote Room |
|
| 16:50 - 16:55 | 08:50 - 08:55 | Coffee break | |
| 16:55 - 17:15 | 08:55 - 09:15 |
01: How Data Diversification Benefits the Reliability of
Three-version Image classification Systems Mitsuho Takahashi Presentation Room A |
02: Artistic Images Modify Human Eye Gaze Behavior Nicholas Schwier Presentation Room B |
| 17:15 - 17:35 | 09:15 - 09:35 |
03: Multi-object tracking in sports using group movement
characteristics Atom Scott Presentation Room A |
04: Comparison and Evaluation of Deep Learning for Humanoid
Animation Based on Quaternions Woon Nam Presentation Room B |
| 17:35 - 17:40 | 09:35 - 09:40 | Coffee break | |
| 17:40 - 18:10 | 09:40 - 10:10 |
Artificial cultural knowledge evolution: agents that share
knowledge Jerome Euzenat Keynote Room |
|
| 18:10 - 18:15 | 10:10 - 10:15 | Coffee break | |
| 18:15 - 18:35 | 10:15 - 10:35 |
05: Drift Analysis for Evolutionary Algorithms Stephan Frank Presentation Room A |
06: AIMHI: Protecting Sensitive Data through Federated
Co-Training Amr Abourayya Presentation Room B |
| 18:35 - 18:55 | 10:35 - 10:55 |
07: Dynamic Evolutionary Algorithm Alexandre Mascarenhas Presentation Room A |
08: ASTRAL: Bias Mitigation in Federated Learning Yasmine Djebrouni Presentation Room B |
| 18:55 - 19:15 | 10:55 - 11:15 |
09: Prediction of RNA subcellular localization Zhaoyue Zhang Presentation Room A |
10: Learning mutual subspace method for image set
recognition |
| 19:15 - 11:45 | 19:15 - 11:45 | Coffee break | |
| 19:45 - 20:05 | 11:45 - 12:05 |
11: Active Facemask Detection for Social Distancing Mobile
Robot Sumiya Ejaz Presentation Room A |
12: Narrative Generation in A.I.Wolf Felipe Nonato Presentation Room B |
| 20:05 - 20:25 | 12:05 - 12:25 |
13: Malware Classification based on Representative Digital
Images |
14: Graph-based functional connectivity analysis of Human Brain
and Artificial Neural Networks Lucrezia Carboni Presentation Room B |
| 20:25 - 20:30 | 12:25 - 12:30- | Coffee break | |
| 20:30 - 21:00 | 12:30 - 13:00 |
Real-time processing of Spatial Data Streams Salman Ahmed Shaikh Keynote Room |
|
| DAY 2 - December 16th | |||
|---|---|---|---|
| 16:00 - 16:05 | 08:00 - 08:05 | Opening - Keynote Room | |
| 16:05 - 16:35 | 8:05 - 8:35 |
Knowledge graph management through named graphs | |
| 16:35 - 16:40 | 08:35 - 08:40 | Coffee break | |
| 16:40 - 17:00 | 08:40 - 09:00 |
01: Introducing the expohedron for fair ranking Till Kletti Presentation Room A |
02: My Fake/Your Fake? Attributing fake Images to a Generative
Model Mike Laszkiewicz Presentation Room B |
| 17:00 - 17:20 | 09:00 - 09:20 |
03: Natural Image Decay with a Decay Effects Generator
HAO Guoqing Presentation Room A |
04: Human-Machine Interaction Zixin Cui (Tracy Cui) Presentation Room B |
| 17:20 - 17:25 | 09:20 - 09:25 | Coffee break | |
| 17:25 - 17:55 | 09:25 - 09:55 |
Predictive constraint programming and reinforcement learning
for the control of robots |
|
| 17:55 - 18:00 | 09:55 - 10:00 | Coffee break | |
| 18:00 - 18:20 | 10:00 - 10:20 |
05: Transformer-Based Self-Supervised Learning for Emotion
Recognition Juan Vazquez-Rodriguez Presentation Room A |
06: A Clustering Routing Algorithm in Static WSN for Power
Saving Kazuya Matsui Presentation Room B |
| 18:20 - 18:40 | 10:20 - 10:40 |
07: Particul: Part Identification with Confidence Measure using
Unsupervised Learning Romain Xu-Darme Presentation Room A |
08: Clustering Algorithm for WSN Based on Cluster Head
Competition Huadong Xin Presentation Room B |
| 18:40 - 19:00 | 10:40 - 11:00 |
09: Uncertainty-based Out-of-distribution detection for Multiple
Sclerosis lesions segmentation Benjamin Lambert Presentation Room A |
10: Quantum Algorithm for Regularized Spectral Clustering
Changzhou Long Presentation Room B |
| 19:00 - 19:40 | 11:00 - 11:40 | Coffee break | |
| 19:40 - 20:00 | 11:40 - 12:00 |
11: Machine Learning curriculums generated by classifier
ensembles Tzu-Jui Huang Presentation Room A |
12: Analysis of the Complementarity of Latent and Concept Spaces
for Cross-Modal Video Search Varsha Devi Presentation Room B |
| 20:00 - 20:20 | 12:00 - 12:20 |
13: A Subspace-Based Analysis of Structured and Unstructured
Representations in Image-Text Retrieval Erica Kido Shimomoto Presentation Room A |
14: Blind Deconvolution Of Video Sequences Based on Sparse
Optimization and patch segmentation Zhang Shipeng Presentation Room B |
| 20:20 - 20:25 | 12:20 - 12:25 | Coffee break | |
| 20:25 - 20:55 | 12:25 - 12:55 |
Neural mechanisms for fast and accurate decision-making to stop
actions Robert Schmidt Keynote Room |
|
| 20:55 - 21:00 | 12:55 - 13:00 | Closing - Keynote Room | |