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2020 – today
- 2024
[c19]Akito Sasahara, Fumiya Yamaguchi, Da Li, Mayumi Ueda, Shinsuke Nakajima:
An Impression-Based Video Analysis Method for Video Recommender Systems. ICNC 2024: 93-99- [c18]Fumiya Yamaguchi, Da Li, Mayumi Ueda, Shinsuke Nakajima:
A Product Feature Mentioned Timestamp Extraction Method in Review Videos for Online Shopping. ICNC 2024: 157-162 - 2023
- [j2]Kenya Sakamoto, Shizuka Shirai, Noriko Takemura, Jason Orlosky
, Hiroyuki Nagataki, Mayumi Ueda, Yuki Uranishi, Haruo Takemura:
Subjective Difficulty Estimation of Educational Comics Using Gaze Features. IEICE Trans. Inf. Syst. 106(5): 1038-1048 (2023) - [c17]Da Li, Hiroto Nishikawa, Mayumi Ueda, Shinsuke Nakajima:
A Store Evaluation System using Automatic Scoring of Retail Stores Based on Product Review Analysis. IEEE Big Data 2023: 2124-2130 - 2022
- [c16]Fumiya Yamaguchi, Felix Dollack, Mayumi Ueda, Shinsuke Nakajima:
Feature Relevance Analysis of Product Reviews to Support Online Shopping. iiWAS 2022: 441-446 - [c15]Mayumi Ueda, Sayaka Yabe, Da Li, Shinsuke Nakajima:
A Cosmetic Differences Visualization System for Beauty Recommendation using the Scores of Various Evaluation Items. IntRS@RecSys 2022: 137-150 - 2021
- [c14]Sayaka Yabe, Mayumi Ueda, Shinsuke Nakajima:
A Comparative Method Based on the Visualization of Cosmetic Items Using Their Various Aspects. ICCE 2021: 1-6 - [c13]Mayumi Ueda, Yuna Taniguchi, Da Li, Panote Siriaraya, Shinsuke Nakajima:
A Research on Constructing Evaluative Expression Dictionaries for Cosmetics Based on Word2Vec. iiWAS 2021: 80-86 - 2020
- [c12]Kenya Sakamoto, Shizuka Shirai, Jason Orlosky, Hiroyuki Nagataki, Noriko Takemura, Mehrasa Alizadeh, Mayumi Ueda:
Exploring Pupillometry as a Method to Evaluate Reading Comprehension in VR-based Educational Comics. VR Workshops 2020: 422-426
2010 – 2019
- 2017
- [c11]Asami Okuda, Yuuki Matsunami, Mayumi Ueda, Shinsuke Nakajima:
Finding similar users based on their preferences against cosmetic item clusters. iiWAS 2017: 156-160 - [c10]Yuuki Matsunami, Mayumi Ueda, Shinsuke Nakajima:
Tag recommendation method for a cosmetics review recommender system. iiWAS 2017: 166-170 - 2016
- [c9]Mayumi Ueda, Yukitoshi Morishita, Tomiyo Nakamura, Natsuhiko Takata, Shinsuke Nakajima:
A recipe recommendation system that considers user's mood. iiWAS 2016: 472-476 - [c8]John O'Donovan, Shinsuke Nakajima, Tobias Höllerer, Mayumi Ueda, Yuuki Matsunami, Byungkyu Kang:
A Cross-Cultural Analysis of Explanations for Product Reviews. IntRS@RecSys 2016: 55-58 - 2015
- [j1]Kazuaki Nakamura, Takuya Funatomi, Atsushi Hashimoto, Mayumi Ueda, Michihiko Minoh:
Development and Evaluation of Near Real-Time Automated System for Measuring Consumption of Seasonings. IEICE Trans. Inf. Syst. 98-D(12): 2229-2241 (2015) - [c7]Takashi Mitsuishi, Nami Shimada, Toshimichi Homma, Mayumi Ueda, Masayuki Kochizawa, Yasunari Shidama:
Continuity of approximate reasoning using fuzzy number under Łukasiewicz t-norm. RAM/CIS 2015: CIS:71-74 - 2012
- [c6]Atsushi Hashimoto, Jin Inoue, Kazuaki Nakamura, Takuya Funatomi, Mayumi Ueda, Yoko Yamakata, Michihiko Minoh:
Recognizing ingredients at cutting process by integrating multimodal features. CEA@ACM Multimedia 2012: 13-18 - 2011
- [c5]Yoko Yamakata, Yoshiki Tsuchimoto, Atsushi Hashimoto, Takuya Funatomi, Mayumi Ueda, Michihiko Minoh:
Cooking Ingredient Recognition Based on the Load on a Chopping Board during Cutting. ISM 2011: 381-386 - [c4]Mayumi Ueda, Takuya Funatomi, Atsushi Hashimoto, Takahiro Watanabe, Michihiko Minoh:
Developing a Real-Time System for Measuring the Consumption of Seasoning. ISM 2011: 393-398 - [c3]Mayumi Ueda, Mari Takahata, Shinsuke Nakajima:
User's Food Preference Extraction for Cooking Recipe Recommendation. SPIM 2011: 98-105
2000 – 2009
- 2009
- [c2]Mayumi Ueda, Hironori Hattori, Yoshitaka Morimura, Masayuki Murakami, Takafumi Marutani, Koh Kakusho, Michihiko Minoh:
Study on Acquisition of Lecturer and Students Actions in the Classroom. CSEDU (1) 2009: 448-451 - 2005
- [c1]Masayuki Kawabata, Ryo Nishide, Mayumi Ueda, Shinichi Ueshima:
Graph-based Approach to Context-adaptable PNS and its Application Scenarios. ICDE Workshops 2005: 1250
Coauthor Index
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