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Hironori Takeuchi
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2020 – today
- 2024
- [j10]Hironori Takeuchi
, Jati H. Husen, Hnin Thandar Tun, Hironori Washizaki, Nobukazu Yoshioka:
Enterprise architecture-based metamodel for machine learning projects and its management. Future Gener. Comput. Syst. 161: 135-145 (2024) - [j9]Jati H. Husen, Hironori Washizaki, Jomphon Runpakprakun, Nobukazu Yoshioka, Hnin Thandar Tun, Yoshiaki Fukazawa, Hironori Takeuchi:
Integrated multi-view modeling for reliable machine learning-intensive software engineering. Softw. Qual. J. 32(3): 1239-1285 (2024) - [c41]Kenji Matsuura
Multiplayer Tracking with Diagonal Video to Support Basketball Tactical Learning. IMCOM 2024: 1-5 - 2023
- [c40]Jati H. Husen
Extensible Modeling Framework for Reliable Machine Learning System Analysis. CAIN 2023: 94-95 - [c39]Yuri Lucas Direbieski, Hiroki Tanioka, Kenji Matsuura, Hironori Takeuchi, Masahiko Sano, Tetsushi Ueta:
Security Impact Analysis of Degree of Field Extension in Lattice Attacks on Ring-LWE Problem. COMPSAC 2023: 1441-1446 - [c38]Hironori Takeuchi, Jati H. Husen, Hnin Thandar Tun, Hironori Washizaki, Nobukazu Yoshioka:
Enterprise Architecture-based Metamodel for a Holistic Business - IT Alignment View on Machine Learning Projects. ICEBE 2023: 8-15 - [c37]Haruhiko Kaiya, Hironori Takeuchi, Hiroyuki Nakagawa, Shinpei Ogata, Shinobu Saito:
Finding Contributable Activities Using Non-Verb Attributes In Events. KES 2023: 507-516 - [c36]Hironori Takeuchi, Haruhiko Kaiya, Hiroyuki Nakagawa, Shinpei Ogata:
Practice-based Collection of Bad Smells in Machine Learning Projects. KES 2023: 517-526 - [c35]Taisei Matsuo, Kenji Matsuura, Hironori Takeuchi:
Awareness and learning for initial configuration of an webserver. KES 2023: 2516-2525 - [c34]Jati H. Husen, Hironori Washizaki, Nobukazu Yoshioka, Hnin Thandar Tun, Yoshiaki Fukazawa, Hironori Takeuchi:
Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems. MODELSWARD 2023: 194-201 - [i1]Yuri Lucas Direbieski, Hiroki Tanioka, Kenji Matsuura, Hironori Takeuchi, Masahiko Sano, Tetsushi Ueta:
Security Impact Analysis of Degree of Field Extension in Lattice Attacks on Ring-LWE Problem. CoRR abs/2305.15772 (2023) - 2022
- [j8]Hironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda
Software-Engineering Design Patterns for Machine Learning Applications. Computer 55(3): 30-39 (2022) - [j7]Hironori Takeuchi, Kota Imazaki, Noriyoshi Kuno, Takuo Doi, Yosuke Motohashi:
Constructing reusable knowledge for machine learning projects based on project practices. Intell. Decis. Technol. 16(4): 725-735 (2022) - [c33]Jati H. Husen
Traceable business-to-safety analysis framework for safety-critical machine learning systems. CAIN 2022: 50-51 - [c32]Hironori Takeuchi
Collecting Insights and Developing Patterns for Machine Learning Projects Based on Project Practices. JCKBSE 2022: 55-67 - [c31]Shinpei Ogata, Hiroyuki Nakagawa, Haruhiko Kaiya, Hironori Takeuchi:
A Study on Analyzing Learner Behaviors in State Machine Modeling Using Process Mining and Statistical Test. JCKBSE 2022: 141-153 - [c30]Hironori Takeuchi, Yu Ito, Shuichiro Yamamoto:
Method for Constructing Machine Learning Project Canvas Based on Enterprise Architecture Modeling. KES 2022: 425-434 - [c29]Haruhiko Kaiya, Tomoya Misawa, Shinpei Ogata, Shinobu Saito, Hiroyuki Nakagawa, Hironori Takeuchi:
A Proposal to Find Mutually Contributable Business or Life Activities Using Conformance Checking. KES 2022: 542-551 - [c28]Hironori Takeuchi, Azuki Ichitsuka, Taketo Iino, Shoki Ishikawa, Miyuki Maeda, Yuka Miyazawa:
Method for Assessing Social Acceptability of AI Service Systems. KES-HCIS 2022: 217-228 - 2021
- [j6]Hironori Takeuchi:
Enterprise Architecture-Based Project Assurance Model for the Proof-of-Concept of AI Service Systems. Int. J. Syst. Softw. Secur. Prot. 12(1): 63-77 (2021) - [c27]Hironori Takeuchi, Haruhiko Kaiya, Hiroyuki Nakagawa, Shinpei Ogata:
Reference Model for Agile Development of Machine Learning-based Service Systems. APSEC Workshops 2021: 17-20 - [c26]Hironori Takeuchi, Takuo Doi, Hironori Washizaki, Satoshi Okuda, Nobukazu Yoshioka:
Enterprise Architecture based Representation of Architecture and Design Patterns for Machine Learning Systems. EDOC Workshops 2021: 245-250 - [c25]Hironori Takeuchi, Azuki Ichitsuka, Taketo Iino, Shoki Ishikawa, Keito Saito:
Assessment Method for Identifying Business Activities to be Replaced by AI Technologies. KES 2021: 1601-1610 - [c24]Hironori Takeuchi, Yu Ito, Risa Nishiyama, Tetsu Isomura:
Modeling of Machine Learning Projects Using ArchiMate. KES-HCIS 2021: 222-231 - 2020
- [c23]Hironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi, Satoshi Okuda
Practitioners' insights on machine-learning software engineering design patterns: a preliminary study. ICSME 2020: 797-799 - [c22]Hironori Takeuchi, Yukino Oyama, Kazuki Yamamoto:
Adoptability Assessment of AI Service Systems. JCKBSE 2020: 84-95 - [c21]Hironori Takeuchi, Shuichiro Yamamoto:
Business Analysis Method for Constructing Business-AI Alignment Model. KES 2020: 1312-1321 - [c20]Hironori Takeuchi, Shuichiro Yamamoto:
Method for Assessing the Applicability of AI Service Systems. KES-HCIS 2020: 323-334
2010 – 2019
- 2019
- [c19]Hironori Takeuchi, Shuichiro Yamamoto:
AI Service System Development Using Enterprise Architecture Modeling. KES 2019: 923-932 - [c18]Hironori Takeuchi, Shuichiro Yamamoto:
Business AI Alignment Modeling Based on Enterprise Architecture. KES-IDT (2) 2019: 155-165 - 2018
- [c17]Hironori Takeuchi, Shiki Akihara, Shuichiro Yamamoto:
Deriving Successful Factors for Practical AI System Development Projects Using Assurance Case. JCKBSE 2018: 22-32 - [c16]Hironori Takeuchi, Satoshi Masuda
Obtaining Exhaustive Answer Set for Q&A-based Inquiry System using Customer Behavior and Service Function Modeling. KES 2018: 986-995 - 2017
- [c15]Kohtaroh Miyamoto, Hironori Takeuchi, Satoshi Masuda
Hierarchical context supplementation for consecutive question answering. SOLI 2017: 1-6 - 2013
- [j5]Takashi Kawaguchi, Kanako Azuma, Takuhiro Yamaguchi, Hiroshi Soeda, Yusuke Sekine, Masayoshi Koinuma, Hironori Takeuchi, Takao Akashi, Sakae Unezaki:
Development and validation of the Japanese version of the Decisional Conflict Scale to investigate the value of pharmacists' information: a before and after study. BMC Medical Informatics Decis. Mak. 13: 50 (2013) - 2012
- [j4]Hironori Takeuchi, Taiga Nakamura, Takahira Yamaguchi:
Predicate Argument Structure Analysis for Use Case Description Modeling. IEICE Trans. Inf. Syst. 95-D(7): 1959-1968 (2012) - [c14]Futoshi Iwama, Taiga Nakamura, Hironori Takeuchi:
Constructing parser for industrial software specifications containing formal and natural language description. ICSE 2012: 1012-1021 - 2011
- [c13]Tadashi Nagano, Yoshifumi Sakamoto, Satoshi Haraguchi, Hironori Takeuchi, Shiho Ogino, Akira Fukuda:
Critiquing Rules and Quality Quantification of Development-Related Documents. IWSM/Mensura 2011: 30-37 - [c12]Taiga Nakamura, Hironori Takeuchi, Futoshi Iwama, Ken Mizuno:
Enabling Analysis and Measurement of Conventional Software Development Documents Using Project-Specific Formalism. IWSM/Mensura 2011: 48-54 - 2010
- [c11]Risa Nishiyama, Yuta Tsuboi, Yuya Unno, Hironori Takeuchi:
Feature-Rich Information Extraction for the Technical Trend-Map Creation. NTCIR 2010: 318-324 - [c10]Avik Sinha, Amit M. Paradkar, Hironori Takeuchi, Taiga Nakamura:
Extending Automated Analysis of Natural Language Use Cases to Other Languages. RE 2010: 364-369
2000 – 2009
- 2009
- [j3]Hironori Takeuchi, L. Venkata Subramaniam, Tetsuya Nasukawa, Shourya Roy:
Getting insights from the voices of customers: Conversation mining at a contact center. Inf. Sci. 179(11): 1584-1591 (2009) - 2008
- [c9]Risa Nishiyama, Hironori Takeuchi, Tetsuya Nasukawa, Hideo Watanabe:
Extracting Advantage Phrases That Hint at a New Technology's Potentials. PAKM 2008: 98-110 - [c8]Hironori Takeuchi, Shiho Ogino, Hideo Watanabe, Yoshiko Shirata:
Context-Based Text Mining for Insights in Long Documents. PAKM 2008: 123-134 - 2007
- [j2]Hironori Takeuchi, L. Venkata Subramaniam, Shourya Roy, Diwakar Punjani, Tetsuya Nasukawa:
Sentence boundary detection in conversational speech transcripts using noisily labeled examples. Int. J. Document Anal. Recognit. 10(3-4): 147-155 (2007) - [c7]Risa Nishiyama, Hironori Takeuchi, Hideo Watanabe:
Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents. Discovery Science 2007: 270-274 - [c6]Hironori Takeuchi, L. Venkata Subramaniam, Tetsuya Nasukawa, Shourya Roy:
Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers. EMNLP-CoNLL 2007: 458-467 - [c5]Hironori Takeuchi, L. Venkata Subramaniam, Tetsuya Nasukawa, Shourya Roy, Sreeram Balakrishnan:
A Conversation-Mining System for Gathering Insights to Improve Agent Productivity. CEC/EEE 2007: 465-468 - 2006
- [c4]Hironori Takeuchi, Issei Yoshida, Yohei Ikawa, Kazuo Iida, Yoko Fukui:
Detecting Invalid Dictionary Entries for Biomedical Text Mining. KDLL 2006: 112-122 - 2005
- [c3]Hironori Takeuchi, Naohiko Uramoto, Koichi Takeda:
Experiments on Patent Retrieval at NTCIR-5 Workshop. NTCIR 2005 - 2004
- [j1]Naohiko Uramoto, Hirofumi Matsuzawa, Tohru Nagano, Akiko Murakami, Hironori Takeuchi, Koichi Takeda:
A text-mining system for knowledge discovery from biomedical documents. IBM Syst. J. 43(3): 516-533 (2004) - [c2]Hironori Takeuchi, Naohiko Uramoto, Koichi Takeda:
Experiments on Patent Retrieval at NTCIR-4 Workshop. NTCIR 2004 - 2001
- [c1]Koichi Takeda, Hiroshi Nomiyama, Tetsuya Nasukawa, Mei Kobayashi, Takashi Sakairi, Hirofumi Matsuzawa, Tohru Nagano, Akiko Murakami, Hironori Takeuchi:
Text Mining and Site Outlining Projects. NLPRS 2001: 773-774
Coauthor Index
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