| Forecasting of COVID19 per regions using ARIMA models and polynomial functions A Hernandez-Matamoros, H Fujita, T Hayashi, H Perez-Meana Applied soft computing 96, 106610, 2020 | 210 | 2020 |
| Less complexity one-class classification approach using construction error of convolutional image transformation network T Hayashi, H Fujita, A Hernandez-Matamoros Information Sciences 560, 217-234, 2021 | 47 | 2021 |
| Cluster-based zero-shot learning for multivariate data T Hayashi, H Fujita Journal of ambient intelligence and humanized computing 12 (2), 1897-1911, 2021 | 35 | 2021 |
| Word embeddings-based sentence-level sentiment analysis considering word importance T Hayashi, H Fujita Acta Polytechnica Hungarica 16 (7), 2019 | 29 | 2019 |
| One-class ensemble classifier for data imbalance problems T Hayashi, H Fujita Applied Intelligence 52 (15), 17073-17089, 2022 | 26 | 2022 |
| OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal T Hayashi, D Cimr, F Studnička, H Fujita, D Bušovský, R Cimler Information Sciences 614, 71-86, 2022 | 10 | 2022 |
| Distance-based one-class time-series classification approach using local cluster balance T Hayashi, D Cimr, F Studnička, H Fujita, D Bušovský, R Cimler, ... Expert Systems with Applications 235, 121201, 2024 | 5 | 2024 |
| Sentence-level sentiment analysis using feature vectors from word embeddings T Hayashi, H Fujita New trends in intelligent software methodologies, tools and techniques, 749-758, 2018 | 5 | 2018 |
| Classification of health deterioration by geometric invariants D Cimr, D Busovsky, H Fujita, F Studnicka, R Cimler, T Hayashi Computer methods and programs in biomedicine 239, 107623, 2023 | 4 | 2023 |
| OCFSP: self-supervised one-class classification approach using feature-slide prediction subtask for feature data T Hayashi, H Fujita Soft Computing 26 (19), 10127-10149, 2022 | 4 | 2022 |
| Applying cluster-based zero-shot classifier to data imbalance problems T Hayashi, K Ambai, H Fujita International Conference on Industrial, Engineering and Other Applications …, 2020 | 4 | 2020 |
| Image entropy equalization: A novel preprocessing technique for image recognition tasks T Hayashi, D Cimr, H Fujita, R Cimler Information Sciences 647, 119539, 2023 | 2 | 2023 |
| Interpretable synthetic signals for explainable one-class time-series classification T Hayashi, D Cimr, H Fujita, R Cimler Engineering Applications of Artificial Intelligence 131, 107716, 2024 | 1 | 2024 |
| Patient deterioration detection using one-class classification via cluster period estimation subtask T Hayashi, D Cimr, F Studnička, H Fujita, D Bušovský, R Cimler Information Sciences 657, 119975, 2024 | 1 | 2024 |
| Image Entropy Equalization for Autoencoder-Based One-Class Classification. T Hayashi, D Cimr, R Cimler SoMeT, 310-321, 2022 | 1 | 2022 |
| Experiment of OCITN: Considering Appropriate Goal Images and Metric for One-Class Image Transformation Network. T Hayashi, H Fujita SoMeT, 459-472, 2021 | 1 | 2021 |
| One-Class Classification Approach Using Feature-Slide Prediction Subtask for Feature Data T Hayashi, H Fujita Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2021 | 1 | 2021 |
| Critical Review for One-class Classification: recent advances and the reality behind them T Hayashi, D Cimr, H Fujita, R Cimler arXiv preprint arXiv:2404.17931, 2024 | | 2024 |
| Machine Learning Could be Easier if All Data Were MNIST H Fujita, G Guizzi New Trends in Intelligent Software Methodologies, Tools and Techniques …, 2023 | | 2023 |
Hamido FujitaIwate Prefectural UniversityVerified email at acm.org
