Bayesian MCMC nonlinear time series prediction. - Yohei Nakada; Takayuki Kurihara; Takashi Matsumoto 001 (ICASSP, 2001)

On-line Bayesian change detection scheme for unknown nonlinear systems via sequential Monte Carlo. - Yohei Nakada; Taksahi Matsumoto (IJCNN, 2005)

Bayesian reconstructions and predictions of nonlinear dynamical systems via the hybrid Monte Carlo scheme. - Yohei Nakada; Takashi Matsumoto 001; Takayuki Kurihara; Kuniaki Yosui (Signal Process., 2005)

An Improved Deterministic Implementation Method for Bayesian Mixture Distributions. - Yohei Nakada (ICMLA (1), 2011)

Bayesian event detection for sport games with hidden Markov model. - Shigeru Motoi; Toshie Misu; Yohei Nakada; Tomohiro Yazaki; Go Kobayashi; Takashi Matsumoto 001; Nobuyuki Yagi (Pattern Anal. Appl., 2012)

Expectation-maximization algorithms for inference in Dirichlet processes mixture. - Tomoaki Kimura; T. Tokuda; Yohei Nakada; T. Nokajima; Takashi Matsumoto; Arnaud Doucet (Pattern Anal. Appl., 2013)

Online Bayesian Learning With Natural Sequential Prior Distribution. - Yohei Nakada; Makio Wakahara; Takashi Matsumoto 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Predicting viewer-perceived activity/dominance in soccer games with stick-breaking HMM using data from a fixed set of cameras. - Go Kobayashi; Hiroki Hatakeyama; Kosuke Ota; Yohei Nakada; Takashi Kaburagi; Takashi Matsumoto 001 (Multim. Tools Appl., 2016)

Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions. - Yohei Nakada (IEEE Trans. Neural Networks Learn. Syst., 2016)

Effects selection technique for improving visual attraction via visual saliency map. - Natsumi Suzuki; Yohei Nakada (SSCI, 2017)

Visualization method of relationship among team sports formation components in shoot scenes. - Risa Yamamoto; Toshiki Abe; Yohei Nakada (SSCI, 2017)

Effect-Selection Tool using Visual Saliency Maps and its Evaluations. - Natsumi Suzuki; Yohei Nakada (SCIS&ISIS, 2018)

Improvement of Visualization Method for Attack Patterns in Team Sports. - Risa Yamamoto; Yohei Nakada (SCIS&ISIS, 2018)

Quantification of Pass Plays Based on Geometric Features of Formations in Team Sports. - Tatsuya Mimura; Yohei Nakada (SoICT, 2019)

An EM Algorithm based Method for Constructing Dynamic Saliency Maps considering Characteristics while Driving. - Sorachi Nakazawa; Satoru Ushijima; Yohei Nakada (SoICT, 2019)

Improving Prediction of Pass Receivable Players in Basketball: Simulation-Based Approach with Kinetic Models. - Yusuke Sano; Yohei Nakada (SoICT, 2019)

Computational Method for Optimal Attack Play Consisting of Run Plays and Hand-pass Plays for Seven-a-side Rugby. - Kotaro Yashiro; Yohei Nakada (ISM, 2020)

Improvement of Mixture-of-Experts-Type Model to Construct Dynamic Saliency Maps for Predicting Drivers' Attention. - Sorachi Nakazawa; Yohei Nakada (SSCI, 2020)

Computational Method of Optimal Kick-pass Plays Considering Run Plays after Catches in Seven-a-side Rugby. - Shintaro Ryuzaki; Kotaro Yashiro; Yohei Nakada (BigMM, 2021)

Simulator of Vehicle-Mounted Camera Video to Verify Dynamic Saliency Maps for Predicting Drivers' Gaze Points. - Rintarou Mizuno; Sorach Nakazawa; Yohei Nakada (SSCI, 2021)

Extended Computation Method of Optimal Kick-pass Plays while Considering Kickers' Run Plays in Rugby Sevens. - Shintaro Ryuzaki; Kotaro Yashiro; Yohei Nakada (BigMM, 2022)

Computational Method for Determining Optimal Dribbling Routes in Basketball. - Hibiki Sakabe; Yohei Nakada (BigMM, 2022)

Prototype Tactical Board Tool for Generating Optimal Offensive Patterns in Rugby Sevens. - Kotaro Yashiro; Yohei Nakada (BigMM, 2022)

Improving Computational Method of Dynamic Saliency Maps for Estimating Drivers' Fixation Points Based on Issues Extracted via In-vehicle Camera Video Simulator. - Rintarou Mizuno; Yohei Nakada (SCIS/ISIS, 2022)

A Chatbot to Search for Similar Fashion Photos and Reference Fashion Coordinators via Body Part and Fashion Item Segmentations. - Yusuke Sawada; Akari Tanabe; Yohei Nakada (SSCI, 2022)

Enhanced Method for Computing Optimal Dribbling Routes Using Tracking Data in Basketball. - Hibiki Sakabe; Yohei Nakada (BigMM, 2023)

Improvement of Retrieval Process for Similar Outfit Portraits in Prototype Fashion Chatbot. - Yusuke Sawada; Yohei Nakada (BigMM, 2023)

Formation Analysis Method for Team Sports Using Deep Graph Convolutional Neural Network with Geometric Formation Features as Input. - Shunsuke Takagi; Yohei Nakada (BigMM, 2023)

Validating Quantification Method for Object Visual Appeal to Motorists in Simulated Hazardous Driving Scene. - Takumi Inagawa; Tomoya Hayashi; Yohei Nakada (ISM, 2023)

Enhancing Formation Analysis Using Multi-layer Graph Convolutional Neural Networks and Geometric Formation Features. - Shunsuke Takagi; Yohei Nakada (SCIS/ISIS, 2024)

Improving Prototype Intelligent Tactical Board for Rugby Sevens. - Kotaro Yashiro; Soma Hirose; Yohei Nakada (SCIS/ISIS, 2024)