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ORCIDMakoto Imamura
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2020 – today
- 2024
[c22]Makoto Imamura
, Takaaki Nakamura:
Efficient Discovery of Time Series Motifs under both Length Differences and Warping. KDD 2024: 1188-1198- 2023
- [j5]Takaaki Nakamura, Ryan Mercer, Makoto Imamura, Eamonn J. Keogh:
MERLIN++: parameter-free discovery of time series anomalies. Data Min. Knowl. Discov. 37(2): 670-709 (2023) - [c21]Makoto Imamura, Takaaki Nakamura:
A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif. ICDM 2023: 1067-1072 - [c20]Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, Eamonn J. Keogh:
Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths. ICDM 2023: 1199-1204 - [c19]Makoto Imamura, Takaaki Nakamura:
Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation. KDD 2023: 857-866 - 2021
- [c18]Makoto Imamura, Takaaki Nakamura:
Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series. ICDM 2021: 1120-1125 - 2020
- [j4]Thi Thi Shein, Sutheera Puntheeranurak, Makoto Imamura:
Discovery of Loose Group Companion From Trajectory Data Streams. IEEE Access 8: 85856-85868 (2020) - [j3]Thi Thi Shein, Sutheera Puntheeranurak, Makoto Imamura:
Discovery of evolving companion from trajectory data streams. Knowl. Inf. Syst. 62(9): 3509-3533 (2020) - [c17]Takaaki Nakamura, Makoto Imamura, Ryan Mercer, Eamonn J. Keogh:
MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives. ICDM 2020: 1190-1195 - [c16]Makoto Imamura, Takaaki Nakamura, Eamonn J. Keogh:
Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness. KDD 2020: 1114-1122
2010 – 2019
- 2019
- [j2]Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Introducing time series chains: a new primitive for time series data mining. Knowl. Inf. Syst. 60(2): 1135-1161 (2019) - 2018
- [c15]Sutheera Puntheeranurak, Thi Thi Shein, Makoto Imamura:
Efficient Discovery of Traveling Companion from Evolving Trajectory Data Stream. COMPSAC (1) 2018: 448-453 - [c14]Junji Tsuda, Yudai Iimura, Makoto Imamura:
Exercise Guidance Generation Based on Joint Vector Model Using Kinect Sensor. ICMU 2018: 1-2 - [c13]Harumi Watanabe, Mikiko Sato, Masafumi Miwa, Makoto Imamura, Shintaro Hosoai, Nobuhiko Ogura, Hiroyuki Nakamura, Kenji Hisazumi:
Compulsory Game based Robot Contest for Embedded System Development Education. ICSCA 2018: 259-263 - [c12]Harumi Watanabe, Mikiko Sato, Masafumi Miwa, Makoto Imamura, Shintaro Hosoai, Nobuhiko Ogura, Hiroyuki Nakamura, Kenji Hisazumi:
Multidisciplinary skill assessment for embedded software development education via a robot contest. ICSE (Companion Volume) 2018: 151-152 - [c11]Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Time Series Chains: A Novel Tool for Time Series Data Mining. IJCAI 2018: 5414-5418 - [c10]Harumi Watanabe, Mikiko Sato, Masafumi Miwa, Makoto Imamura, Shintaro Hosoai, Nobuhiko Ogura, Hiroyuki Nakamura, Kenji Hisazumi:
Assessment Map for Multidisciplinary Abilities for IoT System Development Education based on a Robot Contest. TALE 2018: 995-1000 - 2017
- [c9]Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award). ICDM 2017: 695-704 - 2016
- [j1]Michael Jones, Daniel Nikovski, Makoto Imamura, Takahisa Hirata:
Exemplar learning for extremely efficient anomaly detection in real-valued time series. Data Min. Knowl. Discov. 30(6): 1427-1454 (2016) - 2012
- [c8]Makoto Imamura, Shigenobu Takayama, Tatsuji Munaka:
A stream query language TPQL for anomaly detection in facility management. IDEAS 2012: 235-238 - 2010
- [c7]Jun Kohno, Tatsuro Akiyama, Dai Kato, Makoto Imamura:
A high linearity compact timing vernier for CMOS timing generator. ITC 2010: 1-8
2000 – 2009
- 2009
- [c6]Makoto Imamura, Yasuhiro Takayama, Nobuhiro Kaji, Masashi Toyoda, Masaru Kitsuregawa:
A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query. ACL/IJCNLP (2) 2009: 61-64 - [c5]Keisuke Watanabe, Makoto Imamura, Katsushi Asami, Toshiyuki Amanuma:
A Web Application Development Framework Using Code Generation from MVC-Based UI Model. IWANN (2) 2009: 404-411 - 2008
- [c4]Makoto Imamura, Yasuhiro Takayama, Masanori Akiyoshi, Norihisa Komoda:
Term Knowledge Acquisition Using the Structure of Headline Sentences from Information Equipments Operating Manuals. ICSOFT (PL/DPS/KE) 2008: 301-308 - 2007
- [c3]Makoto Imamura, Yasuhiro Takayama, Yasuhiro Okada, Norihisa Komoda:
A Document Rules Description Language Based on Feature Logic for XML Document Exchange. ICE-B 2007: 71-77 - 2000
- [c2]Makoto Imamura, Ryuuji Nagahama, Katsushi Suzuki, Akehiro Watabe, Hidekazu Tsuji:
Metadata representation in XML for Internet-based electronic XML application from business to government. ICPADS Workshops 2000: 387-392
1990 – 1999
- 1999
- [c1]Makoto Imamura, Osamu Moriguchi, Katsushi Suzuki, Hidekazu Tsuji:
Sharing SGML/XML Document Information Conformable to Business Standards. ICPP Workshops 1999: 381-386
Coauthor Index
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