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2020 – today
- 2024
[j11]Toshitaka Hayashi
, Dalibor Cimr, Hamido Fujita, Richard Cimler:
Interpretable synthetic signals for explainable one-class time-series classification. Eng. Appl. Artif. Intell. 131: 107716 (2024)- [j10]Toshitaka Hayashi, Dalibor Cimr, Filip Studnicka, Hamido Fujita, Damián Busovský, Richard Cimler, Ali Selamat:
Distance-based one-class time-series classification approach using local cluster balance. Expert Syst. Appl. 235: 121201 (2024) - [j9]Toshitaka Hayashi, Dalibor Cimr, Filip Studnicka, Hamido Fujita, Damián Busovský, Richard Cimler:
Patient deterioration detection using one-class classification via cluster period estimation subtask. Inf. Sci. 657: 119975 (2024) - [c7]Toshitaka Hayashi, Dalibor Cimr, Richard Cimler:
One-Class Classification Approach Using One-Class Classification Subtask. SoMeT 2024: 493-505 - [i2]Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler:
Critical Review for One-class Classification: recent advances and the reality behind them. CoRR abs/2404.17931 (2024) - 2023
- [j8]Dalibor Cimr, Damián Busovský, Hamido Fujita, Filip Studnicka, Richard Cimler, Toshitaka Hayashi:
Classification of health deterioration by geometric invariants. Comput. Methods Programs Biomed. 239: 107623 (2023) - [j7]Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler:
Image entropy equalization: A novel preprocessing technique for image recognition tasks. Inf. Sci. 647: 119539 (2023) - [c6]Toshitaka Hayashi, Dalibor Cimr, Richard Cimler:
Machine Learning Could be Easier if All Data Were MNIST. SoMeT 2023: 185-194 - 2022
- [j6]Toshitaka Hayashi, Hamido Fujita:
One-class ensemble classifier for data imbalance problems. Appl. Intell. 52(15): 17073-17089 (2022) - [j5]Toshitaka Hayashi, Dalibor Cimr, Filip Studnicka, Hamido Fujita, Damián Busovský, Richard Cimler:
OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal. Inf. Sci. 614: 71-86 (2022) - [j4]Toshitaka Hayashi, Hamido Fujita:
OCFSP: self-supervised one-class classification approach using feature-slide prediction subtask for feature data. Soft Comput. 26(19): 10127-10149 (2022) - [c5]Toshitaka Hayashi, Dalibor Cimr, Richard Cimler:
Image Entropy Equalization for Autoencoder-Based One-Class Classification. SoMeT 2022: 310-321 - 2021
- [j3]Toshitaka Hayashi, Hamido Fujita, Andres Hernandez-Matamoros:
Less complexity one-class classification approach using construction error of convolutional image transformation network. Inf. Sci. 560: 217-234 (2021) - [j2]Toshitaka Hayashi, Hamido Fujita:
Cluster-based zero-shot learning for multivariate data. J. Ambient Intell. Humaniz. Comput. 12(2): 1897-1911 (2021) - [c4]Toshitaka Hayashi, Hamido Fujita:
One-Class Classification Approach Using Feature-Slide Prediction Subtask for Feature Data. IEA/AIE (2) 2021: 84-96 - [c3]Toshitaka Hayashi, Hamido Fujita:
Experiment of OCITN: Considering Appropriate Goal Images and Metric for One-Class Image Transformation Network. SoMeT 2021: 459-472 - 2020
- [j1]Andres Hernandez-Matamoros, Hamido Fujita, Toshitaka Hayashi, Héctor M. Pérez Meana:
Forecasting of COVID19 per regions using ARIMA models and polynomial functions. Appl. Soft Comput. 96: 106610 (2020) - [c2]Toshitaka Hayashi, Kotaro Ambai, Hamido Fujita:
Applying Cluster-Based Zero-Shot Classifier to Data Imbalance Problems. IEA/AIE 2020: 759-769 - [i1]Toshitaka Hayashi, Hamido Fujita:
Cluster-based Zero-shot learning for multivariate data. CoRR abs/2001.05624 (2020)
2010 – 2019
- 2018
- [c1]Toshitaka Hayashi, Hamido Fujita:
Sentence-Level Sentiment Analysis Using Feature Vectors from Word Embeddings. SoMeT 2018: 749-758
Coauthor Index
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