Rosa H. M. Chan
Orcid: 0000-0003-4808-2490
According to our database1,
Rosa H. M. Chan
authored at least 74 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force-Tempo Variations.
Sensors, May, 2024
2023
Community Channel-Net: Efficient channel-wise interactions via community graph topology.
Pattern Recognit., September, 2023
Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain.
CoRR, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Revisiting COVID-19 Diagnosis From Cough Sound: A Hybrid CNN-LSTM Model Utilizing Offline Time Stretching Augmentation.
Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023
Tracking Bilateral Lower Limb Kinematics of Distance Runners on Treadmill Using a Single Inertial Measurement Unit.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Comparing the Graphical Features of Simple Artificial Neural Networks and Cortical Development.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Pattern Recognit., 2022
IEEE Access, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Hum. Mach. Syst., 2021
Sensor-Based Gait Retraining Lowers Knee Adduction Moment and Improves Symptoms in Patients with Knee Osteoarthritis: A Randomized Controlled Trial.
Sensors, 2021
Multi-modal estimation of the properties of containers and their content: survey and evaluation.
CoRR, 2021
Latent Variable Models Reconstruct Diversity of Neuronal Response to Drifting Gratings in Murine Visual Cortex.
IEEE Access, 2021
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
IEEE Robotics Autom. Mag., 2020
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
VA2Mass: Towards the Fluid Filling Mass Estimation via Integration of Vision and Audio Learning.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Machine Learning-Driven Drug Discovery: Prediction of Structure-Cytotoxicity Correlation Leads to Identification of Potential Anti-Leukemia Compounds.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
CoRR, 2019
2018
Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist.
IEEE Access, 2018
Stochastic Dynamical Systems Based Latent Structure Discovery in High-Dimensional Time Series.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A Sparse Multiwavelet-Based Generalized Laguerre-Volterra Model for Identifying Time-Varying Neural Dynamics from Spiking Activities.
Entropy, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
High-resolution time-frequency analysis of EEG signals using multiscale radial basis functions.
Neurocomputing, 2016
Computational classification of different wild-type zebrafish strains based on their variation in light-induced locomotor response.
Comput. Biol. Medicine, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Short latency hand movement classification based on surface EMG spectrogram with PCA.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Identification of time-varying neural dynamics from spiking activities using Chebyshev polynomials.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Heterogeneous feature subset selection using mutual information-based feature transformation.
Neurocomputing, 2015
Clustering Heterogeneous Data with <i>k</i>-Means by Mutual Information-Based Unsupervised Feature Transformation.
Entropy, 2015
Dimensionality reduction of hybrid data using mutual information-based unsupervised feature transformation: With application on intrusion detection.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Reconstruction of neural network topology using spike train data: Small-world features of hippocampal network.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
A High-Throughput Zebrafish ScreeningMethod for Visual Mutants by Light-Induced Locomotor Response.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease.
IEEE Signal Process. Lett., 2014
An FPGA based scalable architecture of a stochastic state point process filter (SSPPF) to track the nonlinear dynamics underlying neural spiking.
Microelectron. J., 2014
Laguerre-volterra model and architecture for MIMO system identification and output prediction.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
On-Chip Systolic Networks for Real-Time Tracking of Pairwise Correlations Between Neurons in a Large-Scale Network.
IEEE Trans. Biomed. Eng., 2013
IEEE Trans. Biomed. Circuits Syst., 2013
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia.
IEEE Signal Process. Lett., 2013
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Evaluation of mental workload in visual-motor task: Spectral analysis of single-channel frontal EEG.
Proceedings of the IECON 2013, 2013
Spectral modulation of frontal EEG activities during motor skill acquisition: task familiarity monitoring using single-channel EEG.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Functional connectivity between Layer 2/3 and Layer 5 neurons in prefrontal cortex of nonhuman primates during a delayed match-to-sample task.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
High-Performance and Scalable System Architecture for the Real-Time Estimation of Generalized Laguerre-Volterra MIMO Model From Neural Population Spiking Activity.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2011
FPGA Architecture of Generalized Laguerre-Volterra MIMO Model for Neural Population Activities.
Proceedings of the International Conference on Field Programmable Logic and Applications, 2011
FPGA Architecture of Generalized Laguerre-Volterra MIMO Model for Neural Population Spiking Activities.
Proceedings of the IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines, 2011
Estimation and statistical validation of event-invariant nonlinear dynamic models of hippocampal CA3-CA1 population activities.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
A hardware-based computational platform for Generalized Laguerre-Volterra MIMO model for neural activities.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Tracking the changes of hippocampal population nonlinear dynamics in rats learning a memory-dependent task.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
The Neurobiological Basis of Cognition: Identification by Multi-Input, Multioutput Nonlinear Dynamic Modeling.
Proc. IEEE, 2010
2009
Neural Networks, 2009
2007
Nonlinear Dynamic Modeling of Spike Train Transformations for Hippocampal-Cortical Prostheses.
IEEE Trans. Biomed. Eng., 2007
2006
Physiologically Plausible Stochastic Nonlinear Kernel Models of Spike Train to Spike Train Transformation.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2004
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004