Search Results - "Takato, Yasuno" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Dam Inflow Time Series Regression Models Minimising Loss of Hydropower Opportunities

Dam Inflow Time Series Regression Models Minimising Loss of Hydropower Opportunities

by Takato, Yasuno
Published in Trends and Applications in Knowledge Discovery and Data Mining (2018)

Get full text

Book Chapter

Cell Culture Assistive Application for Precipitation Image Diagnosis

Cell Culture Assistive Application for Precipitation Image Diagnosis

by Yasuno, Takato
Year of Publication 29.07.2024

Get full text

Journal Article

$Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance$

Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance

by Yasuno, Takato
Year of Publication 24.07.2023

Get full text

Journal Article

Rain-Code Fusion: Code-to-Code ConvLSTM Forecasting Spatiotemporal Precipitation

Rain-Code Fusion: Code-to-Code ConvLSTM Forecasting Spatiotemporal Precipitation

by Yasuno, Takato, Ishii, Akira, Amakata, Masazumi
Published in Pattern Recognition. ICPR International Workshops and Challenges (2021)

Get full text

Book Chapter

Natural Disaster Classification Using Aerial Photography Explainable for Typhoon Damaged Feature

Natural Disaster Classification Using Aerial Photography Explainable for Typhoon Damaged Feature

by Yasuno, Takato, Amakata, Masazumi, Okano, Masahiro
Published in Pattern Recognition. ICPR International Workshops and Challenges (2021)

Get full text

Book Chapter

Cell Culture Assistive Application for Precipitation Image Diagnosis

Cell Culture Assistive Application for Precipitation Image Diagnosis

by Yasuno, Takato
Published in arXiv.org (29.07.2024)

Get full text

Paper

Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation

Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation

by Yasuno, Takato
Year of Publication 21.04.2020

Get full text

Journal Article

$Few-shot \(\mathbf{1/a}\) Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance$

Few-shot \(\mathbf{1/a}\) Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance

by Yasuno, Takato
Published in arXiv.org (29.08.2023)

Get full text

Paper

One-class Damage Detector Using Deeper Fully Convolutional Data Descriptions for Civil Application

One-class Damage Detector Using Deeper Fully Convolutional Data Descriptions for Civil Application

by Yasuno, Takato, Okano, Masahiro, Fujii, Junichiro
Published in Advances in Artificial Intelligence and Machine Learning (2023)

Get full text

Journal Article

Color-Base Damage Feature Enhanced Support Vector Classifier for Monitoring Quake Image

Color-Base Damage Feature Enhanced Support Vector Classifier for Monitoring Quake Image

by Yasuno, Takato, Amakata, Masazumi, Fujii, Junichiro, Shimamoto, Yuri
Published in Computational Color Imaging (2019)

Get full text

Book Chapter

Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses

Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses

by Yasuno, Takato, Okano, Masahiro, Fujii, Junichiro
Year of Publication 04.06.2023

Get full text

Journal Article

Wooden Sleeper Deterioration Detection for Rural Railway Prognostics Using Unsupervised Deeper FCDDs

Wooden Sleeper Deterioration Detection for Rural Railway Prognostics Using Unsupervised Deeper FCDDs

by Yasuno, Takato, Okano, Masahiro, Fujii, Junichiro
Year of Publication 08.05.2023

Get full text

Journal Article

Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation

Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation

by Yasuno, Takato
Published in arXiv.org (02.03.2021)

Get full text

Paper

One-class Damage Detector Using Deeper Fully-Convolutional Data Descriptions for Civil Application

One-class Damage Detector Using Deeper Fully-Convolutional Data Descriptions for Civil Application

by Yasuno, Takato, Okano, Masahiro, Fujii, Junichiro
Year of Publication 03.03.2023

Get full text

Journal Article

MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation

MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation

by Yasuno, Takato, Okano, Masahiro, Fujii, Junichiro
Year of Publication 15.01.2023

Get full text

Journal Article

MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation

MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation

by Yasuno, Takato, Okano, Masahiro, Fujii, Junichiro
Published in ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction (01.01.2023)

Get full text

Conference Proceeding

River Surface Patch-wise Detector Using Mixture Augmentation for Scum-cover-index

River Surface Patch-wise Detector Using Mixture Augmentation for Scum-cover-index

by Yasuno, Takato, Fujii, Junichiro, Amakata, Masazumi
Year of Publication 13.07.2022

Get full text

Journal Article

One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map

One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map

by Yasuno, Takato, Fujii, Junichiro, Fukami, Sakura
Year of Publication 30.06.2021

Get full text

Journal Article

Rain-Code Fusion : Code-to-code ConvLSTM Forecasting Spatiotemporal Precipitation

Rain-Code Fusion : Code-to-code ConvLSTM Forecasting Spatiotemporal Precipitation

by Yasuno, Takato, Ishii, Akira, Amakata, Masazumi
Year of Publication 30.09.2020

Get full text

Journal Article

VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface

VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface

by Yasuno, Takato, Fujii, Junichiro, Ogata, Riku, Okano, Masahiro
Year of Publication 02.03.2022

Get full text

Journal Article