Kei Harada - RankMe

19 papers A 1B 5Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models. CIKM Yu Tokutake, Kazushi Okamoto, Kei Harada, Atsushi Shibata, Koki Karube
2025	J	`jnl`	A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models. CoRR Yu Tokutake, Kazushi Okamoto, Kei Harada, Atsushi Shibata, Koki Karube
2025	J	`jnl`	BookAsSumQA: An Evaluation Framework for Aspect-Based Book Summarization via Question Answering. CoRR Ryuhei Miyazato, Ting-Ruen Wei, Xuyang Wu, Hsin-Tai Wu, Kei Harada
2025	—	`conf`	Estimation of Fireproof Structure Class and Construction Year for Disaster Risk Assessment. MMAsia Workshops Hibiki Ayabe, Kazushi Okamoto, Koki Karube, Atsushi Shibata, Kei Harada
2025	J	`jnl`	Estimation of Fireproof Structure Class and Construction Year for Disaster Risk Assessment. CoRR Hibiki Ayabe, Kazushi Okamoto, Koki Karube, Atsushi Shibata, Kei Harada
2025	J	`jnl`	Generation and annotation of item usage scenarios in e-commerce using large language models. CoRR Madoka Hagiri, Kazushi Okamoto, Koki Karube, Kei Harada, Atsushi Shibata
2025	J	`jnl`	NLP2025 Theme Session "AIWolf: Conversation Game of Liar Detection and Persuation with LLM". J. Nat. Lang. Process. Yoshinobu Kano, Fujio Toriumi, Michimasa Inaba, Hirotaka Osawa, Daisuke Katagami, Takashi Otsuki, Claus Aranha, Kei Harada, Takeshi Ito
2025	J	`jnl`	Similarity-Based Supervised User Session Segmentation Method for Behavior Logs. CoRR Yongzhi Jin, Kazushi Okamoto, Kei Harada, Atsushi Shibata, Koki Karube
2023	J	`jnl`	A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model. CoRR Yu Tokutake, Chihiro Yamasaki, Yongzhi Jin, Ayuka Inoue, Kei Harada
2023	—	`conf`	AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest. INLG (Generation Challenges) Yoshinobu Kano, Neo Watanabe, Kaito Kagaminuma, Claus Aranha, Jaewon Lee, Benedek Hauer, Hisaichi Shibata, Soichiro Miki, Yuta Nakamura, Takuya Okubo, Soga Shigemura, Rei Ito, Kazuki Takashima, Tomoki Fukuda, Masahiro Wakutani, Tomoya Hatanaka, Mami Uchida, Mikio Abe, Akihiro Mikami, Takashi Otsuki, Zhiyang Qi, Kei Harada, Michimasa Inaba, Daisuke Katagami, Hirotaka Osawa, Fujio Toriumi
2022	B	`conf`	AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities. MDM Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka
2021	J	`jnl`	AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities. CoRR Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka
2021	J	`jnl`	MISCELA: discovering simultaneous and time-delayed correlated attribute patterns. Distributed Parallel Databases Kei Harada, Yuya Sasaki, Makoto Onizuka
2021	B	`conf`	Smart City Data Analysis via Visualization of Correlated Attribute Patterns. EDBT Yuya Sasaki, Keizo Hori, Daiki Nishihara, Sora Ohashi, Yusuke Wakuta, Kei Harada, Makoto Onizuka, Yuki Arase, Shinji Shimojo, Kenji Doi, Hong-Di He, Zhong-Ren Peng
2021	J	`jnl`	Smart City Data Analysis via Visualization of Correlated Attribute Patterns. CoRR Yuya Sasaki, Keizo Hori, Daiki Nishihara, Sora Ohashi, Yusuke Wakuta, Kei Harada, Makoto Onizuka, Yuki Arase, Shinji Shimojo, Kenji Doi, Hong-Di He, Zhong-Ren Peng
2020	B	`conf`	Are Satellite Images Effective for Estimating Land Prices on Deep Neural Network Models? MDM Shinya Yamada, Shohei Yamasaki, Tomoya Okuno, Kei Harada, Yuya Sasaki, Makoto Onizuka
2019	B	`conf`	MISCELA: Discovering Correlated Attribute Patterns in Time Series Sensor Data. MDM Kei Harada, Yuya Sasaki, Makoto Onizuka
2017	—	`conf`	Adaptive weight vector assignment method for MOEA/D. SSCI Kei Harada, Satoru Hiwa, Tomoyuki Hiroyasu
2016	B	`conf`	Functional brain network extraction using a genetic algorithm with a kick-out method. CEC Kei Harada, Misato Tanaka, Satoru Hiwa, Heiner Zille, Sanaz Mostaghim, Tomoyuki Hiroyasu