Tsung-Yu Hsieh

According to our database1, Tsung-Yu Hsieh authored at least 23 papers between 2012 and 2024.

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Bibliography

2024
A Three-Dimensional Method for Analysis of the Body Mode of Classical Guitars Using a Laser Displacement Sensor.
Sensors, August, 2024

2021
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals.
Proceedings of the WSDM '21, 2021

Functional Autoencoders for Functional Data Representation Learning.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020
Impacts of day trading on the intraday pattern of market quality.
Int. J. Serv. Technol. Manag., 2020

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals.
CoRR, 2020

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface.
Proceedings of the 2020 International Conference on Fuzzy Theory and Its Applications, 2020

2019
Node Injection Attacks on Graphs via Reinforcement Learning.
CoRR, 2019

An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG.
CoRR, 2019

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018
Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets.
IEEE Trans. Knowl. Data Eng., 2018

Methodology for developing virtual platforms from power-aware to power- and thermal-aware at electronic system level.
IET Cyper-Phys. Syst.: Theory & Appl., 2018

Compositional Stochastic Average Gradient for Machine Learning and Related Applications.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface.
IEEE Trans. Fuzzy Syst., 2017

2016
Determine the Foot Strike Pattern Using Inertial Sensors.
J. Sensors, 2016

2015
Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
A global optimized neuro-fuzzy system using artificial bee colony evolutionary algorithm.
Proceedings of the Intelligent Systems and Applications, 2014

2012
A Brain-Wave-Actuated Small Robot Car Using Ensemble Empirical Mode Decomposition-Based Approach.
IEEE Trans. Syst. Man Cybern. Part A, 2012


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