H. Ohno

Understanding Human Mobility and Activity in Multiple Non-identifiable Statistics

Kenta Hidaka, H. Ohno, T. Shiga, 2015 .

Materials Discovery using Max K-Armed Bandit

N. Kikkawa, H. Ohno, 2022, ArXiv.

Training data augmentation: An empirical study using generative adversarial net-based approach with normalizing flow models for materials informatics

Hiroshi Ohno, H. Ohno, 2020, Appl. Soft Comput..

Linear guided autoencoder: Representation learning with linearity

Hiroshi Ohno, H. Ohno, 2017, Appl. Soft Comput..

Neural network-based transductive regression model

Hiroshi Ohno, H. Ohno, 2019, Appl. Soft Comput..

Analysis and modeling of human driving behaviors using adaptive cruise control

Hiroshi Ohno, H. Ohno, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Quantum Bayesian inference for parameter estimation using quantum generative model

H. Ohno, 2023, Quantum Information Processing.

A direct error correction method for quantum machine learning

H. Ohno, 2023, Quantum Information Processing.

Training data augmentation using generative models with statistical guarantees for materials informatics

H. Ohno, 2021, Soft Computing.

An Anomaly Detection Method on Web-based System by Trend Analysis with Autoregressive Model (特集 デペンダブルなサービスシステムに貢献する情報・システム技術)

Masaki Samejima, Hiroshi Ohno, Norihisa Komoda, 2014 .

Auto-encoder-based generative models for data augmentation on regression problems

Hiroshi Ohno, H. Ohno, 2019, Soft Computing.

Quantum greedy algorithms for multi-armed bandits

H. Ohno, 2023, Quantum Information Processing.

Neural network control for automatic braking control system

Toshihiko Suzuki, Hiroshi Ohno, Keiji Aoki, 1994, Neural Networks.

The Searching System for Wandering Demented Aged Person using GPS

Satoshi Nonaka, Akira Ikarashi, Hiroshi Ohno, 2002 .