Shigeru Maya

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 10

Top Topics

Stream Data Mining

Phase Space Reconstruction

Anomaly Detection

Top Venues

Publications

Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, Ken Ueno
LTSpAUC: Learning Time-Series Shapelets for Partial AUC Maximization. Big Data 8 (5) (2020)
Akihiro Yamaguchi, Shigeru Maya, Ken Ueno
RLTS: Robust Learning Time-Series Shapelets. ECML/PKDD (1) (2020)
Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, Ken Ueno
LTSpAUC: Learning Time-series Shapelets for Optimizing Partial AUC. SDM (2020)
Shigeru Maya, Akihiro Yamaguchi, Kaneharu Nishino, Ken Ueno
Lag-Aware Multivariate Time-Series Segmentation. SDM (2020)
Topon Paul, Takeichiro Nishikawa, Shigeru Maya, Akihiro Itakura, Toshihide Kawachi, Akira Ogawa, Hiroshi Yokota
Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly Detection. ICMLA (2020)
Shigeru Maya, Ken Ueno, Takeichiro Nishikawa
dLSTM: a new approach for anomaly detection using deep learning with delayed prediction. Int. J. Data Sci. Anal. 8 (2) (2019)
Yosuke Toyama, Kentaro Yoshioka, Koichiro Ban, Shigeru Maya, Akihide Sai, Kohei Onizuka
An 8 Bit 12.4 TOPS/W Phase-Domain MAC Circuit for Energy-Constrained Deep Learning Accelerators. IEEE J. Solid State Circuits 54 (10) (2019)
Kentaro Yoshioka, Yosuke Toyama, Koichiro Ban, Daisuke Yashima, Shigeru Maya, Akihide Sai, Kohei Onizuka
PhaseMAC: A 14 TOPS/W 8bit GRO based Phase Domain MAC Circuit for In-Sensor-Computed Deep Learning Accelerators. CoRR (2018)
Akihiro Yamaguchi, Shigeru Maya, Tatsuya Inagi, Ken Ueno
OPOSSAM: Online Prediction of Stream Data Using Self-adaptive Memory. IEEE BigData (2018)
Kentaro Yoshioka, Yosuke Toyama, Koichiro Ban, Daisuke Yashima, Shigeru Maya, Akihide Sai, Kohei Onizuka
PhaseMAC: A 14 TOPS/W 8bit GRO Based Phase Domain MAC Circuit for in-Sensor-Computed Deep Learning Accelerators. VLSI Circuits (2018)
Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. KDD (2015)
Shigeru Maya, Kai Morino, Kenji Yamanishi
Predicting glaucoma progression using multi-task learning with heterogeneous features. IEEE BigData (2014)