Toshitaka Hayashi

According to our database, Toshitaka Hayashi authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Patient deterioration detection using one-class classification via cluster period estimation subtask.

Toshitaka Hayashi, Dalibor Cimr, Filip Studnicka, Hamido Fujita, Damián Busovský, Richard Cimler

Inf. Sci., February, 2024

Distance-based one-class time-series classification approach using local cluster balance.

Toshitaka Hayashi, Dalibor Cimr, Filip Studnicka, Hamido Fujita, Damián Busovský, Richard Cimler, Ali Selamat

Expert Syst. Appl., January, 2024

2023

Image entropy equalization: A novel preprocessing technique for image recognition tasks.

Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler

Inf. Sci., November, 2023

Classification of health deterioration by geometric invariants.

Dalibor Cimr, Damián Busovský, Hamido Fujita, Filip Studnicka, Richard Cimler, Toshitaka Hayashi

Comput. Methods Programs Biomed., September, 2023

Machine Learning Could be Easier if All Data Were MNIST.

Toshitaka Hayashi, Dalibor Cimr, Richard Cimler

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2023

2022

OCFSP: self-supervised one-class classification approach using feature-slide prediction subtask for feature data.

Toshitaka Hayashi, Hamido Fujita

Soft Comput., 2022

OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal.

Toshitaka Hayashi, Dalibor Cimr, Filip Studnicka, Hamido Fujita, Damián Busovský, Richard Cimler

Inf. Sci., 2022

One-class ensemble classifier for data imbalance problems.

Toshitaka Hayashi, Hamido Fujita

Appl. Intell., 2022

Image Entropy Equalization for Autoencoder-Based One-Class Classification.

Toshitaka Hayashi, Dalibor Cimr, Richard Cimler

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

2021

Cluster-based zero-shot learning for multivariate data.

Toshitaka Hayashi, Hamido Fujita

J. Ambient Intell. Humaniz. Comput., 2021

Less complexity one-class classification approach using construction error of convolutional image transformation network.

Toshitaka Hayashi, Hamido Fujita, Andres Hernandez-Matamoros

Inf. Sci., 2021

Experiment of OCITN: Considering Appropriate Goal Images and Metric for One-Class Image Transformation Network.

Toshitaka Hayashi, Hamido Fujita

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2021

One-Class Classification Approach Using Feature-Slide Prediction Subtask for Feature Data.

Toshitaka Hayashi, Hamido Fujita

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020

Forecasting of COVID19 per regions using ARIMA models and polynomial functions.

Andres Hernandez-Matamoros, Hamido Fujita, Toshitaka Hayashi, Héctor M. Pérez Meana

Appl. Soft Comput., 2020

Applying Cluster-Based Zero-Shot Classifier to Data Imbalance Problems.

Toshitaka Hayashi, Kotaro Ambai, Hamido Fujita

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2018

Sentence-Level Sentiment Analysis Using Feature Vectors from Word Embeddings.

Toshitaka Hayashi, Hamido Fujita

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018