Yohei Nakada

33 papers B 1C 2Misc 1Journal 6Unranked 23
YearRankTypeTitle / Venue / Authors
2025 — conf
Improved Method for Evaluating Defensive Player Movements via Geometric Formation Features in Soccer.
MMSports@MM
Kento Osawa, Yohei Nakada
2025 — conf
Improved Rugby Ball Behavior Model for Kick-pass Simulation Using Beta and von Mises-Fisher Distributions.
MMSports@MM
Yu Tokutake, Kotaro Yashiro, Yohei Nakada
2024 — conf
Enhancing Formation Analysis Using Multi-layer Graph Convolutional Neural Networks and Geometric Formation Features.
SCIS/ISIS
Shunsuke Takagi, Yohei Nakada
2024 — conf
Improving Prototype Intelligent Tactical Board for Rugby Sevens.
SCIS/ISIS
Kotaro Yashiro, Soma Hirose, Yohei Nakada
2023 — conf
Enhanced Method for Computing Optimal Dribbling Routes Using Tracking Data in Basketball.
BigMM
Hibiki Sakabe, Yohei Nakada
2023 — conf
Formation Analysis Method for Team Sports Using Deep Graph Convolutional Neural Network with Geometric Formation Features as Input.
BigMM
Shunsuke Takagi, Yohei Nakada
2023 — conf
Improvement of Retrieval Process for Similar Outfit Portraits in Prototype Fashion Chatbot.
BigMM
Yusuke Sawada, Yohei Nakada
2023 C conf
Validating Quantification Method for Object Visual Appeal to Motorists in Simulated Hazardous Driving Scene.
ISM
Takumi Inagawa, Tomoya Hayashi, Yohei Nakada
2022 — conf
A Chatbot to Search for Similar Fashion Photos and Reference Fashion Coordinators via Body Part and Fashion Item Segmentations.
SSCI
Yusuke Sawada, Akari Tanabe, Yohei Nakada
2022 — conf
Computational Method for Determining Optimal Dribbling Routes in Basketball.
BigMM
Hibiki Sakabe, Yohei Nakada
2022 — conf
Extended Computation Method of Optimal Kick-pass Plays while Considering Kickers' Run Plays in Rugby Sevens.
BigMM
Shintaro Ryuzaki, Kotaro Yashiro, Yohei Nakada
2022 — conf
Improving Computational Method of Dynamic Saliency Maps for Estimating Drivers' Fixation Points Based on Issues Extracted via In-vehicle Camera Video Simulator.
SCIS/ISIS
Rintarou Mizuno, Yohei Nakada
2022 — conf
Prototype Tactical Board Tool for Generating Optimal Offensive Patterns in Rugby Sevens.
BigMM
Kotaro Yashiro, Yohei Nakada
2021 — conf
Computational Method of Optimal Kick-pass Plays Considering Run Plays after Catches in Seven-a-side Rugby.
BigMM
Shintaro Ryuzaki, Kotaro Yashiro, Yohei Nakada
2021 — conf
Simulator of Vehicle-Mounted Camera Video to Verify Dynamic Saliency Maps for Predicting Drivers' Gaze Points.
SSCI
Rintarou Mizuno, Sorach Nakazawa, Yohei Nakada
2020 C conf
Computational Method for Optimal Attack Play Consisting of Run Plays and Hand-pass Plays for Seven-a-side Rugby.
ISM
Kotaro Yashiro, Yohei Nakada
2020 — conf
Improvement of Mixture-of-Experts-Type Model to Construct Dynamic Saliency Maps for Predicting Drivers' Attention.
SSCI
Sorachi Nakazawa, Yohei Nakada
2019 — conf
An EM Algorithm based Method for Constructing Dynamic Saliency Maps considering Characteristics while Driving.
SoICT
Sorachi Nakazawa, Satoru Ushijima, Yohei Nakada
2019 — conf
Improving Prediction of Pass Receivable Players in Basketball: Simulation-Based Approach with Kinetic Models.
SoICT
Yusuke Sano, Yohei Nakada
2019 — conf
Quantification of Pass Plays Based on Geometric Features of Formations in Team Sports.
SoICT
Tatsuya Mimura, Yohei Nakada
2018 — conf
Effect-Selection Tool using Visual Saliency Maps and its Evaluations.
SCIS&ISIS
Natsumi Suzuki, Yohei Nakada
2018 — conf
Improvement of Visualization Method for Attack Patterns in Team Sports.
SCIS&ISIS
Risa Yamamoto, Yohei Nakada
2017 — conf
Effects selection technique for improving visual attraction via visual saliency map.
SSCI
Natsumi Suzuki, Yohei Nakada
2017 — conf
Visualization method of relationship among team sports formation components in shoot scenes.
SSCI
Risa Yamamoto, Toshiki Abe, Yohei Nakada
2016 J jnl
Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions.
IEEE Trans. Neural Networks Learn. Syst.
Yohei Nakada
2016 J jnl
Predicting viewer-perceived activity/dominance in soccer games with stick-breaking HMM using data from a fixed set of cameras.
Multim. Tools Appl.
Go Kobayashi, Hiroki Hatakeyama, Kosuke Ota, Yohei Nakada, Takashi Kaburagi, Takashi Matsumoto
2014 J jnl
Online Bayesian Learning With Natural Sequential Prior Distribution.
IEEE Trans. Neural Networks Learn. Syst.
Yohei Nakada, Makio Wakahara, Takashi Matsumoto
2013 J jnl
Expectation-maximization algorithms for inference in Dirichlet processes mixture.
Pattern Anal. Appl.
Tomoaki Kimura, T. Tokuda, Yohei Nakada, T. Nokajima, Takashi Matsumoto, Arnaud Doucet
2012 J jnl
Bayesian event detection for sport games with hidden Markov model.
Pattern Anal. Appl.
Shigeru Motoi, Toshie Misu, Yohei Nakada, Tomohiro Yazaki, Go Kobayashi, Takashi Matsumoto, Nobuyuki Yagi
2011 — conf
An Improved Deterministic Implementation Method for Bayesian Mixture Distributions.
ICMLA (1)
Yohei Nakada
2005 J jnl
Bayesian reconstructions and predictions of nonlinear dynamical systems via the hybrid Monte Carlo scheme.
Signal Process.
Yohei Nakada, Takashi Matsumoto, Takayuki Kurihara, Kuniaki Yosui
2005 B conf
On-line Bayesian change detection scheme for unknown nonlinear systems via sequential Monte Carlo.
IJCNN
Yohei Nakada, Taksahi Matsumoto
2001 Misc conf
Bayesian MCMC nonlinear time series prediction.
ICASSP
Yohei Nakada, Takayuki Kurihara, Takashi Matsumoto