Sponsors

Keynote Presentations:

K1: Origami and Computer Science, Jun Mitani, University of Tsukuba.

K2: Artificial cultural knowledge evolution: agents that share knowledge, Jerome Euzenat, University of Grenoble-Alpes. https://drive.google.com/file/d/1iWEA-3p64blR5Uh05ntQF6ayVmTbH_Fr/view?usp=share_link

K3: Real-time processing of Spatial Data Streams, Salman Ahmed Shaikh, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST). https://drive.google.com/file/d/1mum07NJ70e8-uOhUzWMoT99TvekDP5PQ/view?usp=share_link

K4: Knowledge graph management through named graphs, Ziébelin Danielle, University of Grenoble-Alpes.

K5: Predictive constraint programming and reinforcement learning for the control of robots, Pierre-Brice Wieber, University of Grenoble-Alpes.

K6: Neural mechanisms for fast and accurate decision-making to stop actions, Robert Schmidt, Ruhr-University Bochum.

Oral Sessions Presentations:

S1: “How Data Diversification Benefits the Reliability of Three-version Image classification Systems”, Mitsuho Takahashi. https://drive.google.com/file/d/1FOjbWrCitVm3dBhDJLTQG1VsoDCHEZAP/view?usp=share_link

S2: Artistic Images Modify Human Eye Gaze Behavior, Nicholas Schwier.

S3: Multi-object tracking in sports using group movement characteristics, Atom Scott. https://drive.google.com/file/d/14gYbPrbOx0EXVtrO522ZCV2aSrpCMISm/view?usp=share_link

S4: Comparison and Evaluation of Deep Learning for Humanoid Animation Based on Quaternions, Woon Nam.

S5: Drift Analysis for Evolutionary Algorithms, Stephan Frank. https://drive.google.com/file/d/13BKSq9hdbnhVBWEC5AV2vUl98dZiyVuE/view?usp=share_link

S6: AIMHI: Protecting Sensitive Data through Federated Co-Training, Amr Abourayya.

S7: Dynamic Evolutionary Algorithm, Alexandre Mascarenhas. https://drive.google.com/file/d/1a-ZFOc_JWr4JGMhXYMNcXHN37Iq4y7qv/view?usp=share_link

S8: ASTRAL: Bias Mitigation in Federated Learning, Yasmine Djebrouni.

S9: Prediction of RNA subcellular localization, Zhaoyue Zhang. https://drive.google.com/file/d/1s2QgWj2iiyBBnDVVI2JrU5Yk2SYiNxKa/view?usp=share_link

S10: Learning mutual subspace method for image set Recognition, Lincon Souza. https://drive.google.com/file/d/1WvbMLm4mz-GY6baSbdD5T2tajGX1onN5/view?usp=share_link

S11: Active Facemask Detection for Social Distancing Mobile Robot, Sumiya Ejaz. https://drive.google.com/file/d/1h9c0zHiIZcv-8-WYggrVvz6TezRBgv78/view?usp=share_link

S12: Narrative Generation in A.I.Wolf, Felipe Nonato.

S13: Malware Classification based on Representative Digital Images, Benchadi Djafer Yahia M. https://drive.google.com/file/d/1PpAchmAkE0YuiHvZVq65lAj6AV62-kaf/view?usp=share_link

S14: Graph-based functional connectivity analysis of Human Brain and Artificial Neural Networks, Lucrezia Carboni.

S15: Introducing the expohedron for fair ranking, Till Kletti.

S16: My Fake/Your Fake? Attributing fake Images to a Generative Model, Mike Laszkiewicz. https://drive.google.com/file/d/1LCCiNeRKxTPugshIRY6Yg3fTQea3f8_R/view?usp=share_link

S17: Natural Image Decay with a Decay Effects Generator, HAO Guoqing. https://drive.google.com/file/d/15CcBNjeSxMYIX3ZRgZb6uz9_nDzo1neD/view?usp=share_link

S18: Human-Machine Interaction, Zixin Cui (Tracy Cui). https://drive.google.com/file/d/1SFVIUVhbcKJBP-imJE8abAgJDfdB5X5h/view?usp=share_link

S19: Transformer-Based Self-Supervised Learning for Emotion Recognition, Juan Vazquez-Rodriguez. https://drive.google.com/file/d/1p-ky3NJE1EOjyw-LchTSgdVASRvL0wzd/view?usp=share_link

S20: A Clustering Routing Algorithm in Static WSN for Power Saving, Kazuya Matsui. https://drive.google.com/file/d/1ZV1K-hhV6J3jP_3TyGFceRSxLbZLh-n9/view?usp=share_link

S21: Particul: Part Identification with Confidence Measure using Unsupervised Learning, Romain Xu-Darme. https://drive.google.com/file/d/1DhYe21kJw4l0cdUSjYAhsqJgCVEeQW6g/view?usp=share_link

S22: Clustering Algorithm for WSN Based on Cluster Head Competition, Huadong Xin. https://drive.google.com/file/d/1qPzqsABWNpcsNwNDnVTnAeBSwUi660D_/view?usp=share_link

S23: Uncertainty-based Out-of-distribution detection for Multiple Sclerosis lesions segmentation, Benjamin Lambert.

S24: Quantum Algorithm for Regularized Spectral Clustering, Changzhou Long. https://drive.google.com/file/d/1TEb1ik5pbh-gSBMN6NCOw3kszSsQsOfk/view?usp=share_link

S25: Machine Learning curriculums generated by classifier ensembles, Tzu-Jui Huang.

S26: Analysis of the Complementarity of Latent and Concept Spaces for Cross-Modal Video Search, Varsha Devi. https://drive.google.com/file/d/1CgquaREIAlERRLBxclz7PRjStNpKQuh8/view?usp=share_link

S27: A Subspace-Based Analysis of Structured and Unstructured Representations in Image-Text Retrieval, Erica Kido Shimomoto. https://drive.google.com/file/d/1pI9zM_R7wdbmR1y8ui7gzWAUMFewxWln/view?usp=share_link

S28: Blind Deconvolution Of Video Sequences Based on Sparse Optimization and patch segmentation, Zhang Shipeng. https://drive.google.com/file/d/1TNh0RuPM-KgC5DL36P9M_avqtmy57VDI/view?usp=share_link