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ORCIDSTRL@IJCAI 2024: Jeju island, Korea
- Parisa Kordjamshidi, Jae Hee Lee, Mehul Bhatt, Michael Sioutis, Zhiguo Long:
Proceedings of the 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju island, South Korea, August 5, 2024. CEUR Workshop Proceedings 3827, CEUR-WS.org 2024
Keynotes
- Anthony G. Cohn:
Some Connections between Qualitative Spatial Reasoning and Machine Learning. - Esra Erdem:
Applications of Spatial and Temporal Reasoning in Cognitive Robotics.
Peer-reviewed Papers
- Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt:
A Spatial Loss Function for Gradient Boosted Trees. - Haibin Liao, Li Yuan, Mou Wu:
A spatiotemporal graph neural network with multi granularity for air quality prediction. - Insu Choi, Woosung Koh, Gimin Kang, Yuntae Jang, Woo Chang Kim:
Encoding Temporal Statistical-space Priors via Augmented Representation under Data Scarcity. - Ryo Koyama, Tomohiro Mimura, Shin Ishiguro, Keisuke Kiritoshi, Takashi Suzuki, Akira Yamada:
Improving Accuracy of Anomaly Detection in Spatial-Temporal Population Data through SHAP Values of Reconstruction Errors. - Francisco Bahamondes, Billy Peralta, Orietta Nicolis, Andrés Bronfman, Alvaro Soto:
ConvLSTM Neural Network based on Hexagonal Inputs for Spatio-Temporal Forecasting of Traffic Velocities. - Jinhyeok Choi, Heehyeon Kim, Minhyeong An, Joyce Jiyoung Whang:
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces. - Haoyuan Jiang, Ziyue Li, Zhishuai Li, Lei Bai, Hangyu Mao, Wolfgang Ketter, Rui Zhao:
GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control.
Invited Papers
- Tanawan Premsri, Parisa Kordjamshidi:
Neuro-symbolic Tuning for Multi-hop Reasoning over Spatial Language. - Mehul Bhatt:
Neurosymbolic Visual Commonsense: On Integrated Reasoning and Learning about Space and Motion in Embodied Multimodal Interaction.
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