Jooyoung Park
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Jooyoung Park 001 (Korea University, Department of Control and Instrumentation Engineering, Korea)
- Jooyoung Park 002 (Idaho National Laboratory, Human Factors and Reliability Department, ID, USA)
- Jooyoung Park 003 (Ewha Womans University, Department of Computer Science and Engineering, Seoul, Korea)
- Jooyoung Park 004 (University of Ulsan College of Medicine, Department of Bioengineering, Seoul, Korea)
- Jooyoung Park 005 (Peking University, HSBC Business School, PHBS, Shenzhen, Guangdong, China)
Bibliography
2023
Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Analyzing Online Videos to Create a List of User Interface Elements: A Case for OpenCrane Design System.
Proceedings of the Design for Equality and Justice - INTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28, 2023
2022
Smartphone Sensor-Based Human Motion Characterization with Neural Stochastic Differential Equations and Transformer Model.
Sensors, 2022
Verification of Tensile Force Estimation Method for Temporary Steel Rods of FCM Bridges Based on Area of Magnetic Hysteresis Curve Using Embedded Elasto-Magnetic Sensor.
Sensors, 2022
Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for Deep Learning Models.
CoRR, 2022
Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System.
Proceedings of the International Conference on Information Networking, 2022
2021
Predicting Human Motion Signals Using Modern Deep Learning Techniques and Smartphone Sensors.
Sensors, 2021
Entropy, 2021
Micro Batch Streaming: Allowing the Training of DNN models Using a large batch size on Small Memory Systems.
CoRR, 2021
2020
Room-area Adhoc G roup Management for Timely Coordination of Voice-enabled Consumer Devices.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
2019
Two-Stage Latent Dynamics Modeling and Filtering for Characterizing Individual Walking and Running Patterns with Smartphone Sensors.
Sensors, 2019
2018
2017
Characterizing Dynamic Walking Patterns and Detecting Falls with Wearable Sensors Using Gaussian Process Methods.
Sensors, 2017
Prediction of Driver's Intention of Lane Change by Augmenting Sensor Information Using Machine Learning Techniques.
Sensors, 2017
Exploring consumer evaluations in social media: The role of psychological distance between company and consumer.
Comput. Hum. Behav., 2017
2016
Some Observations for Portfolio Management Applications of Modern Machine Learning Methods.
Int. J. Fuzzy Log. Intell. Syst., 2016
2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2014
Modern Probabilistic Machine Learning and Control Methods for Portfolio Optimization.
Int. J. Fuzzy Log. Intell. Syst., 2014
2013
Approximate Dynamic Programming-Based Dynamic Portfolio Optimization for Constrained Index Tracking.
Int. J. Fuzzy Log. Intell. Syst., 2013
2012
The Detection and Following of Human Legs Through Inductive Approaches for a Mobile Robot With a Single Laser Range Finder.
IEEE Trans. Ind. Electron., 2012
J. Adv. Comput. Intell. Intell. Informatics, 2012
2011
Int. J. Fuzzy Log. Intell. Syst., 2011
Biosyst., 2011
2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
2008
Passive dynamic walker controller design employing an RLS-based natural actor-critic learning algorithm.
Eng. Appl. Artif. Intell., 2008
2004
Proceedings of the Systems Modeling and Simulation: Theory and Applications, 2004
2003
Int. J. Fuzzy Log. Intell. Syst., 2003
2001
A synthesis procedure for associative memories based on space-varying cellular neural networks.
Neural Networks, 2001
1993
1991