Ruibin Feng
Orcid: 0000-0002-0777-8195
According to our database1,
Ruibin Feng
authored at least 39 papers
between 2013 and 2024.
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Bibliography
2024
2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation.
Proceedings of the Computing in Cardiology, 2023
2022
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning.
Comput. Biol. Medicine, 2022
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.
Proceedings of the Computing in Cardiology, 2022
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.
Proceedings of the Computing in Cardiology, 2022
2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
2019
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.
J. Digit. Imaging, 2019
IEEE Access, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
An analog neural network approach for the least absolute shrinkage and selection operator problem.
Neural Comput. Appl., 2018
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework.
CoRR, 2018
Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization.
Cogn. Comput., 2018
2017
A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation.
IEEE Trans. Neural Networks Learn. Syst., 2017
Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2017
Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures.
Neurocomputing, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Neurocomputing, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
IEEE Trans. Vis. Comput. Graph., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Neural Process. Lett., 2015
Online training and its convergence for faulty networks with multiplicative weight noise.
Neurocomputing, 2015
Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network.
Cogn. Comput., 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013