Shinya Wada
Orcid: 0000-0001-6009-6655
According to our database1,
Shinya Wada
authored at least 24 papers
between 2017 and 2023.
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Bibliography
2023
IEEE Access, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction.
Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, 2023
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023
Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label Plant Species Prediction.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
CoRR, 2022
IEEE Access, 2022
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks.
Proceedings of the Persuasive Technology - 16th International Conference, 2021
Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021
Classical machine learning and deep neural network ensemble model for GPS-based activity recognition.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Influence of Land Use information over performance when predicting spatiotemporal electricity load demand.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Proceedings of the IEEE International Conference on Smart Computing, 2020
Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020
LDNN: Linguistic Knowledge Injectable Deep Neural Network for Group Cohesiveness Understanding.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020
Elucidating the extent by which population staying patterns help improve electricity load demand predictions.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2018
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
2017
Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017