Takeuchi Ichiro

Takeuchi Ichiro

Nagoya Institute of Technology

H-index: 41

Asia-Japan

About Takeuchi Ichiro

Takeuchi Ichiro, With an exceptional h-index of 41 and a recent h-index of 29 (since 2020), a distinguished researcher at Nagoya Institute of Technology, specializes in the field of Machine Learning, Data Science, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A confidence machine for sparse high‐order interaction model

Multi-Objective Bayesian Optimization with Active Preference Learning

Distributionally Robust Safe Screening

The Detection of Neoplastic Cells Using Objective Cytomorphologic Parameters in Malignant Lymphoma

Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty

Statistical Test for Generated Hypotheses by Diffusion Models

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference

Statistical Test for Anomaly Detections by Variational Auto-Encoders

Takeuchi Ichiro Information

University

Position

Professor of Computer Science

Citations(all)

5992

Citations(since 2020)

3643

Cited By

3818

hIndex(all)

41

hIndex(since 2020)

29

i10Index(all)

128

i10Index(since 2020)

103

Email

University Profile Page

Nagoya Institute of Technology

Google Scholar

View Google Scholar Profile

Takeuchi Ichiro Skills & Research Interests

Machine Learning

Data Science

Bioinformatics

Top articles of Takeuchi Ichiro

Title

Journal

Author(s)

Publication Date

A confidence machine for sparse high‐order interaction model

Stat

Diptesh Das

Eugene Ndiaye

Ichiro Takeuchi

2024/1

Multi-Objective Bayesian Optimization with Active Preference Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Ryota Ozaki

Kazuki Ishikawa

Youhei Kanzaki

Shion Takeno

Ichiro Takeuchi

...

2024/3/24

Distributionally Robust Safe Screening

arXiv preprint arXiv:2404.16328

Hiroyuki Hanada

Satoshi Akahane

Tatsuya Aoyama

Tomonari Tanaka

Yoshito Okura

...

2024/4/25

The Detection of Neoplastic Cells Using Objective Cytomorphologic Parameters in Malignant Lymphoma

Laboratory Investigation

Miharu Nagaishi

Hiroaki Miyoshi

Mauricio Kugler

Kensaku Sato

Kei Kohno

...

2024/3/1

Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty

Yu Inatsu

Shion Takeno

Hiroyuki Hanada

Kazuki Iwata

Ichiro Takeuchi

2024/4/18

Statistical Test for Generated Hypotheses by Diffusion Models

arXiv preprint arXiv:2402.11789

Teruyuki Katsuoka

Tomohiro Shiraishi

Daiki Miwa

Vo Nguyen Le Duy

Ichiro Takeuchi

2024/2/19

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference

arXiv e-prints

Vo Nguyen Le Duy

Hsuan-Tien Lin

Ichiro Takeuchi

2023/10

Statistical Test for Anomaly Detections by Variational Auto-Encoders

arXiv preprint arXiv:2402.03724

Daiki Miwa

Tomohiro Shiraishi

Vo Nguyen Le Duy

Teruyuki Katsuoka

Ichiro Takeuchi

2024/2/6

Bounded p values in parametric programming-based selective inference

arXiv preprint arXiv:2307.11351

Tomohiro Shiraishi

Daiki Miwa

Vo Nguyen Le Duy

Ichiro Takeuchi

2023/7/21

Statistical Test for Attention Map in Vision Transformer

arXiv preprint arXiv:2401.08169

Tomohiro Shiraishi

Daiki Miwa

Teruyuki Katsuoka

Vo Nguyen Le Duy

Koichi Taji

...

2024/1/16

Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning

Science and Technology of Advanced Materials: Methods

Kentaro Kutsukake

Takefumi Kamioka

Kota Matsui

Ichiro Takeuchi

Takashi Segi

...

2024/3/30

Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of Lymphoma

Journal of Pathology Informatics

Noriaki Hashimoto

Hiroyuki Hanada

Hiroaki Miyoshi

Miharu Nagaishi

Kensaku Sato

...

2024/12/1

Valid p-value for deep learning-driven salient region

arXiv preprint arXiv:2301.02437

Daiki Miwa

Vo Nguyen Le Duy

Ichiro Takeuchi

2023/1/6

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning

Medical image analysis

Noriaki Hashimoto

Yusuke Takagi

Hiroki Masuda

Hiroaki Miyoshi

Kei Kohno

...

2023/4/1

Selective Inference for DNN-driven Saliency Map

IEICE Technical Report; IEICE Tech. Rep.

Daiki Miwa

Vo Nguyen Le Duy

Tomohiro Shiraishi

Ichiro Takeuchi

2023/6/22

Deep learning based identification of pituitary adenoma on surgical endoscopic images: a pilot study

Yutaro Fuse

Kazuhito Takeuchi

Noriaki Hashimoto

Yuichi Nagata

Yusuke Takagi

...

2023/11/1

Efficient model selection for predictive pattern mining model by safe pattern pruning

Patterns

Takumi Yoshida

Hiroyuki Hanada

Kazuya Nakagawa

Kouichi Taji

Koji Tsuda

...

2023/12/8

Sample-Efficient De Novo Chemical Design with Latent Reconstruction-Aware Variational Autoencoder

Onur Boyar

Kazuki Iwata

Hiroyuki Hanada

Ichiro Takeuchi

2023

Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma

IEICE Technical Report; IEICE Tech. Rep.

Ryoichi Koga

Mauricio Kugler

Tatsuya Yokota

Kouichi Ohshima

Hiroaki Miyoshi

...

2023/2/27

Novel machine learning method allerStat identifies statistically significant allergen-specific patterns in protein sequences

Journal of Biological Chemistry

Kento Goto

Norimasa Tamehiro

Takumi Yoshida

Hiroyuki Hanada

Takuto Sakuma

...

2023/6/1

See List of Professors in Takeuchi Ichiro University(Nagoya Institute of Technology)