Tomoumi Takase

Orcid: 0000-0001-6974-8103

According to our database1, Tomoumi Takase authored at least 14 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Optimal layer selection for latent data augmentation.
Neural Networks, 2025

2024
Affinity-Weighted RandAugment for Problem-Oriented Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Feature combination mixup: novel mixup method using feature combination for neural networks.
Neural Comput. Appl., June, 2023

Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias.
Proceedings of the International Conference on Machine Learning, 2023

2022
A Collaborative Training Using Crowdsourcing and Neural Networks on Small and Difficult Image Classification Datasets.
SN Comput. Sci., 2022

2021
Self-paced data augmentation for training neural networks.
Neurocomputing, 2021

Dynamic batch size tuning based on stopping criterion for neural network training.
Neurocomputing, 2021

Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019
Difficulty-weighted learning: A novel curriculum-like approach based on difficult examples for neural network training.
Expert Syst. Appl., 2019

Evaluation of Stratified Validation in Neural Network Training with Imbalanced Data.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018
Effective neural network training with adaptive learning rate based on training loss.
Neural Networks, 2018

Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization.
Neural Comput., 2018

Longer Distance Weight Prediction for Faster Training of Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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