Akira Tamamori. Kernel Random Projection Depth for Outlier Detection. Asia-Pacific Signal and Information Processing Association Annual Summit Conference 2023 (APSIPA ASC 2023). 2023
Akira Tamamori. Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting. IEICE Transactions on Information and Systems. 2023. E106.D. 7. 1244-1248
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda. Daily Activity Recognition based on Recurrent Neural Network using Multi-modal Signals. APSIPA Transactions on Signal and Information Processing. 2018. 7. e21. 1-11
Hiroki Narita, Akira Tamamori. CNN-BASED ANOMALOUS SOUND DETECTION SYSTEM FOR DOMAIN GENERALIZATION. A technical report of DCASE Challenge2022 Task2. 2022
Hiroki Narita, Akira Tamamori. Unsupervised Anomalous Sound Detection Using Intermediate Representation of Trained Models and Metric Learning Based Variational Autoencoder. A technical report of DCASE Challenge2021 Task2. 2021