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ORCIDGuillaume Habault
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2020 – today
- 2023
[c15]Guillaume Habault
, Huy Quang Ung, Shinya Wada:
A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data. UbiComp/ISWC Adjunct 2023: 511-516- [c14]Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Yuta Nakashima, Cathal Gurrin:
ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. ICMR 2023: 674-675 - [c13]Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu:
Time-delayed Multivariate Time Series Predictions. SDM 2023: 325-333 - [e1]Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Yuta Nakashima, Cathal Gurrin:
Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2023, Thessaloniki, Greece, June 12-15, 2023. ACM 2023 [contents] - 2022
- [c12]Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI 2022: 2189-2195 - [c11]Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) 2022: 68-80 - 2021
- [c10]Guillaume Habault, Shinya Wada, Chihiro Ono:
Influence of Land Use information over performance when predicting spatiotemporal electricity load demand. IEEE BigData 2021: 1633-1639 - [c9]Yutaro Mishima, Guillaume Habault, Shinya Wada:
Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality. MobiQuitous 2021: 406-421 - 2020
- [c8]Guillaume Habault, Shinya Wada, Rui Kimura, Chihiro Ono:
Elucidating the extent by which population staying patterns help improve electricity load demand predictions. IEEE BigData 2020: 3482-3487
2010 – 2019
- 2019
- [c7]Guillaume Habault, Yasutaka Nishimura, Kiyohito Yoshihara, Chihiro Ono:
Detecting errors in short-term electricity demand forecast using people dynamics. IEEE BigData 2019: 4163-4168 - 2018
- [c6]Guillaume Habault, Yuya Taniguchi, Naoaki Yamanaka:
Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. VTC Fall 2018: 1-5 - 2017
- [j1]Guillaume Habault, Maxime Lefrançois, François Lemercier, Nicolas Montavont, Periklis Chatzimisios, Georgios Z. Papadopoulos:
Monitoring Traffic Optimization in a Smart Grid. IEEE Trans. Ind. Informatics 13(6): 3246-3255 (2017) - [c5]Ange Ouya, Blanca Martínez de Aragón, Cécile Bouette, Guillaume Habault, Nicolas Montavont, Georgios Z. Papadopoulos:
An efficient electric vehicle charging architecture based on LoRa communication. SmartGridComm 2017: 381-386 - 2016
- [c4]Guillaume Habault, Jani Hursti, Jean-Marie Bonnin:
Defining a Distributed Architecture for Smart Energy Aware Systems. CSDM 2016: 83-94 - [c3]Toshichika Shiobara, Guillaume Habault, Jean-Marie Bonnin, Hiroaki Nishi:
Effective communicating optimization for V2G with electric bus. INDIN 2016: 992-997 - 2015
- [b1]Guillaume Habault:
Service-based Networking for M2M Communications. (Réseaux basés sur les services disponibles et appliqués aux communications de machine à machine). Télécom Bretagne, Best, France, 2015 - 2014
- [c2]Guillaume Habault, Laurent Toutain, Nicolas Montavont, Philippe Bertin:
Service-based network selection proposal for complex heterogeneous environments. GLOBECOM Workshops 2014: 662-667 - 2013
- [c1]Guillaume Habault, Patrick Maillé, Laurent Toutain, Alexander Pelov, Nicolas Montavont, Philippe Bertin:
Lightweight service announcement: The case for Wi-Fi M2M service providers. IEEE ANTS 2013: 1-6
Coauthor Index
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