Application of a Critical Chain Project Management Based Framework on Max-Plus Linear Systems. - Hirotaka Takahashi; Hiroyuki Goto; Munenori Kasahara (CISIS, 2009)

Online Collaboration Support Tools for Project-Based Learning of Embedded Software Design. - Takashi Yukawa; Hirotaka Takahashi; Yoshimi Fukumura; Makoto Yamazaki; Toshimasa Miyazaki; Shohei Yano; Akiko Takeuchi; Hajime Miura; Naoki Hasegawa (KES (2), 2009)

Fast Computation Methods for the Kleene Star in Max-Plus Linear Systems with a DAG Structure. - Hiroyuki Goto; Hirotaka Takahashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

A Blended Project-Based Learning Program on Embedded Software Design with Collaboration Support Tools. - Takashi Yukawa; Tomonori Iwazaki; Keisuke Ishida; Hirotaka Takahashi; Yoshimi Fukumura; Makoto Yamazaki; Naoki Hasegawa; Hajime Miura (KES (4), 2010)

Transferring progress control policies in scheduling problems for a class of repetitive discrete event systems. - Hiroyuki Goto; Hirotaka Takahashi (Int. J. Control, 2010)

Resolution of resource conflict in a Max-Plus Linear representation-case of a single project. - Shotaro Yoshida; Hirotaka Takahashi; Hiroyuki Goto (IEEM, 2011)

Efficient Representation of the State Equation in Max-Plus Linear Systems with Interval Constrained Parameters. - Hiroyuki Goto; Hirotaka Takahashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

On Investigating EMD parameters to Search for Gravitational Waves. - Hirotaka Takahashi; Ken-ichi Oohara; Masato Kaneyama; Yuta Hiranuma; Jordan B. Camp (Adv. Data Sci. Adapt. Anal., 2013)

Detecting Nonlinear Acoustic Properties of Snoring Sounds using Hilbert-Huang Transform. - Tsuyoshi Mikami; Satoshi Ueki; Hirotaka Takahashi; Kazuya Yonezawa (BIOSIGNALS, 2015)

Toward classification of swimming style by using underwater wireless accelerometer data. - Yoshihisa Kon; Yuto Omae; Kazuki Sakai; Hirotaka Takahashi; Takuma Akiduki; Chikara Miyaji; Yoshihisa Sakurai; Nobuo Ezaki; Kazufumi Nakai (UbiComp/ISWC Adjunct, 2015)

Effect on satisfaction through super science high school's education. - Yuto Omae; Takako Mitsui; Hirotaka Takahashi (SII, 2015)

Comparative study of passive and active learning classes in basic mathematics training for electrical engineering. - Takashi Kikuchi; Satoshi Yamashita; Michiharu Suzuki; Kenji Ozawa; Hirotaka Takahashi; Munehiro Kimura (SII, 2016)

Rubric evaluation for project research as active learning in super science high school. - Yuto Omae; Takako Mitsui; Hirotaka Takahashi (SII, 2016)

Review of regenerative energy utilization in traction power supply system in Japan: Applications of energy storage systems in d.c. traction power supply system. - Hitoshi Hayashiya; Yuki Iino; Hirotaka Takahashi; Keiji Kawahara; Takashi Yamanoi; Takahiro Sekiguchi; Hideto Sakaguchi; Akihiko Sumiya; Shinichiro Kon (IECON, 2017)

Study on relation between level of understanding and difficulty of problem by network visualization of questionnaire for active learning class in basic mathematics training for electrical engineering. - Takashi Kikuchi; Satoshi Yamashita; Michiharu Suzuki; Kenji Ozawa; Hirotaka Takahashi; Munehiro Kimura (SII, 2017)

Performance analysis of "edulog" system. - Kazutaka Mizukoshi; Tatsuro Furuya; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Yuto Omae; Hirotaka Takahashi; Kazuhiro Yatsushiro (SII, 2017)

Machine learning-based collaborative learning optimizer toward intelligent CSCL system. - Yuto Omae; Tatsuro Furuya; Kazutaka Mizukoshi; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Kazuhiro Yatsushiro; Hirotaka Takahashi (SII, 2017)

Swimming Style Classification Based on Ensemble Learning and Adaptive Feature Value by Using Inertial Measurement Unit. - Yuto Omae; Yoshihisa Kon; Masahiro Kobayashi; Kazuki Sakai; Akira Shionoya; Hirotaka Takahashi; Takuma Akiduki; Kazufumi Nakai; Nobuo Ezaki; Yoshihisa Sakurai; Chikara Miyaji (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Feature Selection Algorithm Considering Trial and Individual Differences for Machine Learning of Human Activity Recognition. - Yuto Omae; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Probability Distributions of Means of IA and IF for Gaussian Noise and Its Application to an Anomaly Detection. - Kazuki Sakai; Masato Kaneyama; Ken-ichi Oohara; Hirotaka Takahashi (Adv. Data Sci. Adapt. Anal., 2018)

Multiwindow Nonharmonic Analysis Method for Gravitational Waves. - Dongbao Jia; Kenta Yanagisawa; Yuta Ono; Kanna Hirobayashi; Masaya Hasegawa; Shigeki Hirobayashi; Hideyuki Tagoshi; Tatsuya Narikawa; Nami Uchikata; Hirotaka Takahashi (IEEE Access, 2018)

Time-frequency-based non-harmonic analysis to reduce line-noise impact for LIGO observation system. - Dongbao Jia; Kenta Yanagisawa; Masaya Hasegawa; Shigeki Hirobayashi; Hideyuki Tagoshi; Tatsuya Narikawa; Nami Uchikata; Hirotaka Takahashi (Astron. Comput., 2018)

Data Mining for Discovering Effective Time-Series Transition of Learning Strategies on Mutual Viewing-Based Learning. - Yuto Omae; Tatsuro Furuya; Kazutaka Mizukoshi; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Kazuhiro Yatsushiro; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Detection of Driver Workload Using Wrist-Worn Wearable Sensors: A Feasibility Study. - Ryuto Tanaka; Takuma Akiduki; Hirotaka Takahashi (SMC, 2020)

A Calculation Model for Estimating Effect of COVID-19 Contact-Confirming Application (COCOA) on Decreasing Infectors. - Yuto Omae; Jun Toyotani; Kazuyuki Hara; Yasuhiro Gon; Hirotaka Takahashi (CoRR, 2020)

Multiagent Simulation Approach to Pedestrian Laminar Flow With Group Walking Models. - Hirotaka Takahashi; Yuto Omae; Riki Tanaka (IEEE Access, 2021)

Intelligent Edutab Box: Supporting Real-Time Face-to-Face Collaborative Learning. - Yuto Omae; Kazutaka Mizukoshi; Tatsuro Furuya; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Kazuhiro Yatsushiro; Masaya Matsushita; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation. - Yuto Omae; Jun Toyotani; Kazuyuki Hara; Yasuhiro Gon; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan. - Yuto Omae; Makoto Sasaki; Jun Toyotani; Kazuyuki Hara; Hirotaka Takahashi (IEEE Access, 2022)

Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study. - Takuma Akiduki; Jun Nagasawa; Zhong Zhang 005; Yuto Omae; Toshiya Arakawa; Hirotaka Takahashi (Sensors, 2022)

FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks. - Yuto Omae; Yusuke Sakai 011; Hirotaka Takahashi (CoRR, 2023)

Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation. - Naoki Koyama; Yusuke Sakai 011; Seiya Sasaoka; Diego Dominguez; Kentaro Somiya; Yuto Omae; Yoshikazu Terada; Marco Meyer-Conde; Hirotaka Takahashi (Mach. Learn. Sci. Technol., 2024)

Automated design of digital filters using convolutional neural networks for extracting ringdown gravitational waves. - Kazuki Sakai; Sodtavilan Odonchimed; Mitsuki Takano; Hirotaka Takahashi (Mach. Learn. Sci. Technol., 2024)

Computing the Wave: Where the Gravitational Wave Community benefits from High-Energy Physics, and where it differs ? - Marco Meyer-Conde; Nobuyuki Kanda; Hirotaka Takahashi; Ken-ichi Oohara; Kazuki Sakai (CoRR, 2025)