| Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions | 0 | 0.34 | 2022 |
| Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation | 0 | 0.34 | 2021 |
| Adaptive Individualized Drug-Dose Response Modeling from a Limited Clinical Data: Case of Warfarin Management | 0 | 0.34 | 2021 |
| Precise Warfarin Management through Personalized Modeling and Control with Limited Clinical Data | 0 | 0.34 | 2021 |
| Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks | 0 | 0.34 | 2020 |
| Feature Selection for Neural Networks Using Group Lasso Regularization | 6 | 0.43 | 2020 |
| A recalling-enhanced recurrent neural network: conjugate gradient learning algorithm and its convergence analysis | 0 | 0.34 | 2020 |
| Diversity Regularized Adversarial Learning. | 0 | 0.34 | 2019 |
| Batch and data streaming classification models for detecting adverse events and understanding the influencing factors. | 0 | 0.34 | 2019 |
| Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T-S Fuzzy System. | 5 | 0.38 | 2018 |
| The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. | 3 | 0.38 | 2018 |
| Parallel Implementation Of The Givens Rotations In The Neural Network Learning Algorithm | 0 | 0.34 | 2017 |
| Nonredundant sparse feature extraction using autoencoders with receptive fields clustering. | 2 | 0.36 | 2017 |
| A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems. | 0 | 0.34 | 2017 |
| Convergence analyses on sparse feedforward neural networks via group lasso regularization. | 8 | 0.46 | 2017 |
| Infant Brain Extraction in T1-weighted MR Images using BET and Refinement using LCDG and MGRF Models. | 2 | 0.40 | 2016 |
| 3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization. | 3 | 0.42 | 2016 |
| Boundedness and convergence analysis of weight elimination for cyclic training of neural networks. | 4 | 0.40 | 2016 |
| Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints. | 36 | 1.17 | 2016 |
| Structured Sparse Convolutional Autoencoder. | 0 | 0.34 | 2016 |
| Efficient Learning of Timeseries Shapelets. | 3 | 0.39 | 2016 |
| Individualized model discovery: The case of anemia patients. | 0 | 0.34 | 2015 |
| Learning understandable neural networks with nonnegative weight constraints. | 23 | 0.81 | 2015 |
| Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty. | 16 | 0.70 | 2014 |
| Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. | 8 | 0.50 | 2014 |
| Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode | 4 | 0.43 | 2014 |
| Shape Analysis of the Human Brain: A Brief Survey. | 1 | 0.36 | 2014 |
| Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition | 0 | 0.34 | 2012 |
| Computational properties of cyclic and almost-cyclic learning with momentum for feedforward neural networks | 0 | 0.34 | 2012 |
| Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization | 3 | 0.41 | 2012 |
| Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules | 1 | 0.36 | 2011 |
| Guest Editorial White Box Nonlinear Prediction Models | 2 | 0.36 | 2011 |
| Top-down induction of reduced ordered decision diagrams from neural networks | 0 | 0.34 | 2011 |
| Extracting rules from neural networks as decision diagrams. | 17 | 0.85 | 2011 |
| Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty | 3 | 0.40 | 2011 |
| Guest EditorialIntelligent systems. | 0 | 0.34 | 2010 |
| Identification of Full and Partial Class Relevant Genes | 18 | 0.81 | 2010 |
| Estimating soil parameters using the kernel function | 1 | 0.55 | 2010 |
| Intelligent e-learning systems for evaluation of user's knowledge and skills with efficient information processing | 1 | 0.38 | 2010 |
| A class of discrete time recurrent neural networks with multivalued neurons | 10 | 0.70 | 2009 |
| Blur Identification by Multilayer Neural Network Based on Multivalued Neurons | 60 | 2.32 | 2008 |
| Computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures | 14 | 0.94 | 2008 |
| Reliability Assessment of Ensemble Classifiers: Application in Mammography | 2 | 0.38 | 2008 |
| Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection | 0 | 0.34 | 2008 |
| Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance | 149 | 4.13 | 2008 |
| Sentence recognition using artificial neural networks | 11 | 0.85 | 2008 |
| Extracting Decision Rules In Prediction Of Protein Secondary Structure | 0 | 0.34 | 2008 |
| Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities | 16 | 1.24 | 2007 |
| Cellular Neural Networks With Transient Chaos | 11 | 0.91 | 2007 |
| Window Merge Neural Gas for Processing Pattern Sequences | 0 | 0.34 | 2007 |
