Shigeru Maya - RankMe

13 papers A* 1A 2C 1Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	GDRMA: Graph Neural Networks for Document Retrievals With Mean Aggregation. IEEE Access Shigeru Maya
2020	J	`jnl`	LTSpAUC: Learning Time-Series Shapelets for Partial AUC Maximization. Big Data Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, Ken Ueno
2020	A	`conf`	LTSpAUC: Learning Time-series Shapelets for Optimizing Partial AUC. SDM Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, Ken Ueno
2020	A	`conf`	Lag-Aware Multivariate Time-Series Segmentation. SDM Shigeru Maya, Akihiro Yamaguchi, Kaneharu Nishino, Ken Ueno
2020	—	`conf`	RLTS: Robust Learning Time-Series Shapelets. ECML/PKDD (1) Akihiro Yamaguchi, Shigeru Maya, Ken Ueno
2020	C	`conf`	Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly Detection. ICMLA Topon Kumar Paul, Takeichiro Nishikawa, Shigeru Maya, Akihiro Itakura, Toshihide Kawachi, Akira Ogawa, Hiroshi Yokota
2019	J	`jnl`	An 8 Bit 12.4 TOPS/W Phase-Domain MAC Circuit for Energy-Constrained Deep Learning Accelerators. IEEE J. Solid State Circuits Yosuke Toyama, Kentaro Yoshioka, Koichiro Ban, Shigeru Maya, Akihide Sai, Kohei Onizuka
2019	J	`jnl`	dLSTM: a new approach for anomaly detection using deep learning with delayed prediction. Int. J. Data Sci. Anal. Shigeru Maya, Ken Ueno, Takeichiro Nishikawa
2018	—	`conf`	OPOSSAM: Online Prediction of Stream Data Using Self-adaptive Memory. IEEE BigData Akihiro Yamaguchi, Shigeru Maya, Tatsuya Inagi, Ken Ueno
2018	—	`conf`	PhaseMAC: A 14 TOPS/W 8bit GRO Based Phase Domain MAC Circuit for in-Sensor-Computed Deep Learning Accelerators. VLSI Circuits Kentaro Yoshioka, Yosuke Toyama, Koichiro Ban, Daisuke Yashima, Shigeru Maya, Akihide Sai, Kohei Onizuka
2018	J	`jnl`	PhaseMAC: A 14 TOPS/W 8bit GRO based Phase Domain MAC Circuit for In-Sensor-Computed Deep Learning Accelerators. CoRR Kentaro Yoshioka, Yosuke Toyama, Koichiro Ban, Daisuke Yashima, Shigeru Maya, Akihide Sai, Kohei Onizuka
2015	A*	`conf`	Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. KDD Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2014	—	`conf`	Predicting glaucoma progression using multi-task learning with heterogeneous features. IEEE BigData Shigeru Maya, Kai Morino, Kenji Yamanishi