Tatsuya Iizaka

According to our database1, Tatsuya Iizaka authored at least 20 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence Criterion.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2021

2020
One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

Fault Detection of Hydroelectric Generators using Isolation Forest.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

Clustering-Based Data Reduction Approach to Speed up SVM in Classification and Regression Tasks.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Correction: Sato, M., et al. Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration, <i>Algorithms</i> 2019, <i>12</i>, 15.
Algorithms, 2019

Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration.
Algorithms, 2019

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation Planning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Global-best Brain Storm Optimization for Optimal Operational Planning of Energy Plants.
Proceedings of the TENCON 2018, 2018

Multi-population Modified Brain Storm Optimization for Optimal Operational Planning of Energy Plants.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

2017
Estimation of missing data of showcase using artificial neural networks.
Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017

2006
Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions.
Proceedings of the International Joint Conference on Neural Networks, 2006


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