Tsuyoshi Okita

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Sozo InoueKyushu Institute of Technology, JapanVerified email at acm.org
Andy WayADAPT Centre, Dublin City UniversityVerified email at adaptcentre.ie
Hristijan GjoreskiSs. Cyril and Methodius University in Skopje, Emteq Labs UKVerified email at feit.ukim.edu.mk
Kazuya MuraoProfessor, Ritsumeikan UniversityVerified email at fc.ritsumei.ac.jp
Daniel RoggenUniversity of SussexVerified email at ieee.org
Lin WangQueen Mary University of LondonVerified email at qmul.ac.uk
Josef van GenabithDFKI German Research Center for Artificial IntelligenceVerified email at dfki.de
Qun LiuNoah's Ark Lab, HuaweiVerified email at huawei.com
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Nello CristianiniUniversity of BathVerified email at bath.ac.uk
Yvette GrahamTrinity College DublinVerified email at tcd.ie
Jinhua DuHuawei UK Research & Development LtdVerified email at huawei.com
Sudip Kumar NaskarAssociate Professor, Computer Science & Engineering, Jadavpur University, IndiaVerified email at jadavpuruniversity.in
Christian FedermannPrincipal Research Manager, Microsoft TranslatorVerified email at microsoft.com
Marta R. Costa-jussàUniversitat Politècnica de CatalunyaVerified email at upc.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu
Alexander FraserTechnical University of Munich, Munich Center for Machine LearningVerified email at tum.de
Helmut SchmidAssociate Professor, Ludwig-Maximilians-Universität MünchenVerified email at cis.lmu.de
Artem SokolovResearch Scientist, Google DeepMind & Heidelberg UniversityVerified email at cl.uni-heidelberg.de
Taro WatanabeNara Institute of Science and TechnologyVerified email at is.naist.jp

Tsuyoshi Okita

Kyushu Institute of Technology

Verified email at ai.kyutech.ac.jp - Homepage

Deep Learning Artificial Intelligence IoT Machine Translation Natural Language Processing


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サポートベクターマシン入門 N Cristianini, J Shawe-Taylor, 大北剛共立出版, 2005	188*	2005
Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge L Wang, H Gjoreski, K Murao, T Okita, D Roggen Ubicomp 2018 Adjunct proceeings, 2018	90	2018
Summary of the Sussex-Huawei locomotion transportation recognition challenge 2019 L Wang, H Gjoreski, M Ciliberto, P Lago, K Murao, T Okita, D Roggen ACM International Joint Conference on Pervasive and Ubiquitous Computing and …, 2019	83	2019
Using metaballs to modeling and animate clouds from satellite images Y Dobashi, T Nishita, H Yamashita, T Okita The Visual Computer 15 (9), 471-482, 1999	71	1999
カーネル法によるパターン解析 J Shawe-Taylor, N Cristianini 共立出版, 2010	63*	2010
Multi-word expression-sensitive word alignment T Okita, A Maldonado, Y Graham, A Way Proceedings of the 4th Workshop on Cross Lingual Information Access, 26-34, 2010	38	2010
コンピュータービジョン DA Forsyth, J Ponce 共立出版株式会社, 2007	38*	2007
Locomotion and transportation Mode Recognition from GPS and radio signals: Summary of SHL Challenge 2021 L Wang, M Ciliberto, H Gjoreski, P Lago, K Murao, T Okita, D Roggen Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021	35	2021
Nurse care activity recognition challenge: summary and results P Lago, SS Alia, S Takeda, T Mairittha, N Mairittha, F Faiz, Y Nishimura, ... Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019	34	2019
Data cleaning for word alignment T Okita Proceedings of the ACL-IJCNLP 2009 Student Research Workshop, 72-80, 2009	29	2009
Summary of the 2^nd nurse care activity recognition challenge using lab and field data SS Alia, P Lago, K Adachi, T Hossain, H Goto, T Okita, S Inoue Adjunct Proceedings of the 2020 ACM International Joint Conference on …, 2020	27	2020
Recognition of Multiple Overlapping Activities Using Compositional CNN-LSTM Model T Okita, S Inoue UbiComp 2017, 165-168, 2017	26	2017
A multi-sensor setting activity recognition simulation tool S Takeda, T Okita, P Lago, S Inoue Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018	25	2018
Three-year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors L Wang, H Gjoreski, M Ciliberto, P Lago, K Murao, T Okita, D Roggen Frontiers in Computer Science 3, 713719, 2021	22	2021
Summary of SHL challenge 2023: Recognizing locomotion and transportation mode from GPS and motion sensors L Wang, H Gjoreski, M Ciliberto, P Lago, K Murao, T Okita, D Roggen Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023	15	2023
The dcu discourse parser for connective, argument identification and explicit sense classification L Wang, C Hokamp, T Okita, X Zhang, Q Liu Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015	14	2015
Activity Recognition: Translation across Sensor Modalities Using Deep Learning T Okita, S Inoue UbiComp 2018 Adjunct proceedings, 1462-1471, 2018	11	2018
DCU Confusion Network-based System Combination for ML4HMT T Okita, J van Genabith Machine Learning for Hybrid Machine Translation, 2011	11	2011
Gap between theory and practice: Noise sensitive word alignment in machine translation T Okita, Y Graham, A Way Journal of Machine Learning Research Workshop and Conference Proceedings 11 …, 2010	10	2010
A compression-based multiple subword segmentation for neural machine translation K Nonaka, K Yamanouchi, T I, T Okita, K Shimada, H Sakamoto Electronics 11 (7), 1014, 2022	9	2022

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