Hirotaka TAKAHASHI

Emailhirotakatcu.acjp

h-index

Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 6 Clean Water and Sanitation
SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 15 Life on Land

Fingerprint

Dive into the research topics where Hirotaka TAKAHASHI is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

人工知能を用いたコンパクト連星合体重力波の速報システムの構築
TAKAHASHI, H. (CoPI)
日本学術振興会
1/11/25 → …
Project: Subsidies for on-campus educational facilities
機械学習・深層学習を用いたノイズ特徴の分析と干渉計診断への応用 (IV)
TAKAHASHI, H. (CoPI)
東京大学宇宙線研究所共同利用研究
1/04/24 → …
Project: Subsidies for on-campus educational facilities
機械学習・深層学習を用いたノイズの特徴の分析と干渉計診断への応用 (III)
TAKAHASHI, H. (CoPI) & 高橋弘毅高橋 (CoPI)
1/04/23 → …
Project: Subsidies for on-campus educational facilities
過疎地域・離島を中心に展開する拡散型オンライン教員研修モデルの構築
TAKAHASHI, H. (CoPI), 範久榊原 (CoPI), 崇行大島 (CoPI), 大前佑斗大前 (CoPI), 芳明水落 (CoPI), 高橋弘毅高橋 (CoPI) & 一浩八代 (CoPI)
日本学術振興会
1/04/23 → …
Project: Subsidies for on-campus educational facilities
人工知能と適応型時間-周波数解析を利用した突発性雑音の分類とバースト的重力波探査
TAKAHASHI, H. (CoPI) & 高橋弘毅高橋 (CoPI)
日本学術振興会
1/04/23 → …
Project: Subsidies for on-campus educational facilities

312 Presentation
256 Article
21 Conference contribution
18 Conference article
More
- 11 Book
- 8 Paper
- 7 Comment/debate
- 7 Misc
- 6 Review article
- 5 Poster
- 2 Chapter
- 2 Invited

Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model
Translated title of the contribution: Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture ModelYohei Kakimoto, Yuto Omae, Hirotaka Takahashi & TAKAHASHI, H., 20 Jan 2025, In: Applied Sciences. 15, 2, p. 982 -
Research output: Contribution to journal › Article › peer-review
Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model
Kakimoto, Y., Omae, Y. & Takahashi, H., Jan 2025, In: Applied Sciences (Switzerland). 15, 2, 982.
Research output: Contribution to journal › Article › peer-review

Open Access
Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data
Morooka, E. V., Omae, Y., Hämäläinen, M. & Takahashi, H., Jun 2025, In: AppliedMath. 5, 2, 72.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations
Bridging GW and HEP: Next Generation AI at the Frontier
Translated title of the contribution: Bridging GW and HEP: Next Generation AI at the FrontierMarco Meyer-Conde, Takahiro S. Yamamoto, Yusuke Sakai, Hirotaka Takahashi & TAKAHASHI, H., 27 Feb 2025.
Research output: Contribution to conference › Presentation
Convolutional Neural Networks for Sleep Stages Classification Using Multiple PSG Signals
Translated title of the contribution: Convolutional Neural Networks for Sleep Stages Classification Using Multiple PSG SignalsYusuke Sakai, Kenji Iwamoto, Yuto Omae, Tsuyoshi Mikami, Takuma Akiduki, Kazuki Sakai, Marco Meyer-Conde, Hirotaka Takahashi & TAKAHASHI, H., Sep 2025, In: ICIC Express Letters. 19, 9, p. 1029 - 1037
Research output: Contribution to journal › Article › peer-review

2023年度「東京都市大学【優秀教育賞】」: 東京都市大学におけるデータサイエンス教育の全学展開と講義資料の一般公開
TAKAHASHI, H. (Recipient), Sep 2023
Prize
2023年度「東京都市大学【優秀研究賞】」: 重力波物理学・天文学とマルチメッセンジャー天文学の実現に向けたデータ解析の研究
TAKAHASHI, H. (Recipient), Sep 2023
Prize
Best Paper Award(ICICIC2013): Toward Symbolization of Human Motion Data --Time-Series Clustering in Symbol Space--
TAKAHASHI, H. (Recipient), Sep 2013
Prize
Best Paper Award（ICICIC2017）: Extraction and Classification of Human Gait Features from Acceleration Data
TAKAHASHI, H. (Recipient), Aug 2017
Prize
Best Paper Award（ICICIC2018）: A Novel Deep Learning Optimization Algorithm for Human Motions Anomaly Detection
TAKAHASHI, H. (Recipient), Aug 2018
Prize

Research from Tokyo City University Provides New Study Findings on Engineering (Driver Activity Recognition With Vision Transformer Using Time-Frequency Representations Derived From Wrist-Worn Sensors)
TAKAHASHI, H. & MEYER-CONDE, M.
5/12/25
1 item of Media coverage
Press/Media
Frontiers of Science Seminar: Prof. Hiroki Ueda
TAKAHASHI, H.
5/09/25
1 item of Media coverage
Press/Media
Nihon University Researchers Discuss Research in Applied Sciences (Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model)
TAKAHASHI, H.
11/02/25
1 item of Media coverage
Press/Media
Recent Findings in Physics Described by Researchers from Tokyo Institute of Technology (Parameter Estimation of Protoneutron Stars From Gravitational Wave Signals Using the Hilbert-huang Transform)
TAKAHASHI, H. & MEYERCOND, M.
19/12/24
1 item of Media coverage
Press/Media
New Physics Data Have Been Reported by Researchers at Tokyo City University (Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset)
TAKAHASHI, H.
29/07/24
1 item of Media coverage
Press/Media

Hirotaka TAKAHASHI

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

人工知能を用いたコンパクト連星合体重力波の速報システムの構築

機械学習・深層学習を用いたノイズ特徴の分析と干渉計診断への応用 (IV)

機械学習・深層学習を用いたノイズの特徴の分析と干渉計診断への応用 (III)

過疎地域・離島を中心に展開する拡散型オンライン教員研修モデルの構築

人工知能と適応型時間-周波数解析を利用した突発性雑音の分類とバースト的重力波探査

Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model

Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model

Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data

Bridging GW and HEP: Next Generation AI at the Frontier

Convolutional Neural Networks for Sleep Stages Classification Using Multiple PSG Signals

2023年度「東京都市大学【優秀教育賞】」: 東京都市大学におけるデータサイエンス教育の全学展開と講義資料の一般公開

2023年度「東京都市大学【優秀研究賞】」: 重力波物理学・天文学とマルチメッセンジャー天文学の実現に向けたデータ解析の研究

Best Paper Award(ICICIC2013): Toward Symbolization of Human Motion Data --Time-Series Clustering in Symbol Space--

Best Paper Award（ICICIC2017）: Extraction and Classification of Human Gait Features from Acceleration Data

Best Paper Award（ICICIC2018）: A Novel Deep Learning Optimization Algorithm for Human Motions Anomaly Detection

Research from Tokyo City University Provides New Study Findings on Engineering (Driver Activity Recognition With Vision Transformer Using Time-Frequency Representations Derived From Wrist-Worn Sensors)

Frontiers of Science Seminar: Prof. Hiroki Ueda

Nihon University Researchers Discuss Research in Applied Sciences (Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model)

Recent Findings in Physics Described by Researchers from Tokyo Institute of Technology (Parameter Estimation of Protoneutron Stars From Gravitational Wave Signals Using the Hilbert-huang Transform)

New Physics Data Have Been Reported by Researchers at Tokyo City University (Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset)

Hirotaka TAKAHASHI

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output

Prizes

Press/Media