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Kouta Nakata

Observed names: Kouta NAKATA, Nakata, Kouta
Institution: Toshiba (Japan)
ORCID: 0000-0002-3764-1579
Observed ORCID: 0000-0002-3764-1579
OpenAlex ID: A5042829463
A Comprehensive Big-Data-Based Monitoring System for Yield Enhancement in Semiconductor Manufacturing
2017 · Kouta Nakata, Ryohei Orihara, et al. · IEEE Transactions on Semiconductor Manufacturing · 79
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
2021 · Tao, Yaling, Takagi, Kentaro, et al. · arXiv (Cornell University) · 54
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RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets
2018 · Tao, Yaling, Takagi, Kentaro, et al. · arXiv (Cornell University) · 17
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Design Optimization of Multiple Stepped Oxide Field Plate Trench MOSFETs with Machine Learning for Ultralow On-resistance
2021 · Hiro Gangi, Yasunori Taguchi, et al. · IEEE International Symposium on Power Semiconductor Devices and ICs/Proceedings of the International Symposium on Power Semiconductor Devices & ICs/Proceedings of the ... International Symposium on Power Semiconductor Devices & ICs/Proceedings of the ... International Symposium on Power Semiconductor Devices and ICs · 16
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder
2021 · Susumu Naito, Yasunori Taguchi, et al. · IEEE ... International Conference on Data Mining workshops · 12
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A comprehensive “big-data-based” monitoring system for yield enhancement in semiconductor man ufacturing
2016 · Kouta Nakata, Ryohei Orihara, et al. · IEEE International Symposium on Semiconductor Manufacturing conference proceedings · 12
Anomaly sign detection by monitoring thousands of process values using a two-stage autoencoder
2021 · Susumu NAITO, Yasunori TAGUCHI, et al. · Mechanical Engineering Journal · 5
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A New Data Driven Method for Monitoring a Large Number of Process Values and Detecting Anomaly Signs With a Two-Stage Model Composed of a Time Window Autoencoder and a Deviation Autoencoder
2020 · Susumu Naito, Yasunori Taguchi, et al. · 2
Clustering-Friendly Representation Learning for Enhancing Salient Features
2024 · Toshiyuki Oshima, Kentaro Takagi, et al. · Lecture notes in computer science · 1
A New Data Driven Method for Monitoring a Large Number of Process Values and Detecting Anomaly Signs With a Two-Stage Model Composed of a Time Window Autoencoder and a Deviation Autoencoder
2021 · Susumu Naito, Yasunori Taguchi, et al. · 1
Protein Secondary Structure Analysis Using Neural Network
1994 · Kouta Nakata · Proceedings Genome Informatics Workshop/Genome informatics · 1
Deep Distance Measurement Method for Unsupervised Multivariate Time Series Similarity Retrieval
2025 · Susumu Naito, Kouta Nakata, et al. · IEEE ... International Conference on Data Mining workshops
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Novel Multistack Floating Field Plate MOSFET and Image Clustering-Based Design Analysis
2025 · Hiro Gangi, Yasunori Taguchi, et al. · IEEE International Symposium on Power Semiconductor Devices and ICs/Proceedings of the International Symposium on Power Semiconductor Devices & ICs/Proceedings of the ... International Symposium on Power Semiconductor Devices & ICs/Proceedings of the ... International Symposium on Power Semiconductor Devices and ICs
Utilization of Big Data for Innovation in Semiconductor Memory Manufacturing -- Comprehensive Big-Data-Based Monitoring System for Yield Analysis in Semiconductor Manufacturing
2017 · Hiroshi Akahori, Kouta Nakata, et al. · IEICE Technical Report; IEICE Tech. Rep.
Classification Method Utilizing Reliably Labeled Data
2008 · Kouta Nakata, Shigeaki Sakurai, et al. · Lecture notes in computer science
Works count: 16
Citation count: 200
H-index: 6
I10-index: 6
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