Proposal on infrared ray emission CT. - Hiroki Uchiyama; Takayuki Takezawa; Keisuke Abe; Shouken Haku; Masato Nakajima; Shin'ichi Yuta (Syst. Comput. Jpn., 1985)

The integration of knowledge-based system and mathematical programming through planning-domain oriented structured model. - Keisuke Abe; Makoto Tsukiyama; Toyoo Fukuda (SMC, 1989)

Discovering Rules of Subtle Deficits Indicating Mild Cognitive Impairment Using Inductive Logic Programming. - Keisuke Abe; Niken Prasasti Martono; Takehiko Yamaguchi 002; Hayato Ohwada; Tania Giovannetti (HCI (4), 2017)

Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data. - Niken Prasasti Martono; Keisuke Abe; Takehiko Yamaguchi 002; Hayato Ohwada; Tania Giovannetti (HCI (4), 2017)

An Analysis of Motion Transition in Subtle Errors using Inductive Logic Programming: A Case Study in Approaches to Mild Cognitive Impairment. - Niken Prasasti Martono; Keisuke Abe; Takehiko Yamaguchi 002; Hayato Ohwada (Int. J. Softw. Sci. Comput. Intell., 2018)

Data Mining and Machine Learning Applications for Educational Big Data in the University. - Keisuke Abe (DASC/PiCom/DataCom/CyberSciTech, 2019)

Learning Support Methods based on Predictive Control Using Machine Learning for Educational Big Data. - Keisuke Abe; Kai Cheng (SICE, 2020)

Uncertainty-Aware Container Warehousing Planning for Port Throughput Improvement. - Keisuke Abe; Kosuke Nagahata; Kenji Tanaka (TE, 2023)

Enhanced Regular Expression as a DGL for Generation of Synthetic Big Data. - Kai Cheng; Keisuke Abe (J. Inf. Process. Syst., 2023)

Investigating the Impact of COVID-19 Pandemic on Education by Learning Analytics. - Keisuke Abe; Kai Cheng (DASC, 2024)

Congestion Prediction by Multimodal Learning of Audiovisual Data. - Iori Ide; Yuki Toyosaka; Kai Cheng; Keisuke Abe (DASC, 2024)