Ning Dong, Einoshin Suzuki:
"GIAD-ST: Detecting Anomalies in Human Monitoring Based on Generative Inpainting via Self-Supervised Multi-Task Learning", Journal of Intelligent Information Systems,
Vol. 59, No. 3, pp. 733-754, December, 2022. DOI 10.1007/s10844-022-00722-8.
Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro, Einoshin Suzuki: "Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding", Proc. Fifth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2022), pp. 867-879, Oxford, UK, August 2022. DOI 10.1145/3514094.3534171.
Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki: "Detecting Video Anomalous Events with an Enhanced Abnormality Score", PRICAI 2022: Trends in Artificial Intelligence, Part I, LNCS 13629, pp. 202-217,
Shanghai, November 2022. DOI 10.1007/978-3-031-20862-1_15.
