Predicting glaucoma progression using multi-task learning with heterogeneous features. - Shigeru Maya; Kai Morino; Kenji Yamanishi (IEEE BigData, 2014)

Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. - Shigeru Maya; Kai Morino; Hiroshi Murata; Ryo Asaoka; Kenji Yamanishi (KDD, 2015)

OPOSSAM: Online Prediction of Stream Data Using Self-adaptive Memory. - Akihiro Yamaguchi; Shigeru Maya; Tatsuya Inagi; Ken Ueno (IEEE BigData, 2018)

PhaseMAC: A 14 TOPS/W 8bit GRO Based Phase Domain MAC Circuit for in-Sensor-Computed Deep Learning Accelerators. - Kentaro Yoshioka; Yosuke Toyama; Koichiro Ban; Daisuke Yashima; Shigeru Maya; Akihide Sai; Kohei Onizuka (VLSI Circuits, 2018)

dLSTM: a new approach for anomaly detection using deep learning with delayed prediction. - Shigeru Maya; Ken Ueno; Takeichiro Nishikawa (Int. J. Data Sci. Anal., 2019)

An 8 Bit 12.4 TOPS/W Phase-Domain MAC Circuit for Energy-Constrained Deep Learning Accelerators. - Yosuke Toyama; Kentaro Yoshioka; Koichiro Ban; Shigeru Maya; Akihide Sai; Kohei Onizuka (IEEE J. Solid State Circuits, 2019)

Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly Detection. - Topon Kumar Paul; Takeichiro Nishikawa; Shigeru Maya; Akihiro Itakura; Toshihide Kawachi; Akira Ogawa; Hiroshi Yokota (ICMLA, 2020)

RLTS: Robust Learning Time-Series Shapelets. - Akihiro Yamaguchi; Shigeru Maya; Ken Ueno (ECML/PKDD (1), 2020)

Lag-Aware Multivariate Time-Series Segmentation. - Shigeru Maya; Akihiro Yamaguchi; Kaneharu Nishino; Ken Ueno (SDM, 2020)

LTSpAUC: Learning Time-series Shapelets for Optimizing Partial AUC. - Akihiro Yamaguchi; Shigeru Maya; Kohei Maruchi; Ken Ueno (SDM, 2020)

LTSpAUC: Learning Time-Series Shapelets for Partial AUC Maximization. - Akihiro Yamaguchi; Shigeru Maya; Kohei Maruchi; Ken Ueno (Big Data, 2020)

GDRMA: Graph Neural Networks for Document Retrievals With Mean Aggregation. - Shigeru Maya (IEEE Access, 2024)