Feature-Based Learning in Drug Prescription System for Medical Clinics
Extreme Learning Machine for Supervised Classification with Self-paced Learning
Joint Feature Selection with Dynamic Spectral Clustering
Flexible Discrete Multi-view Hashing with Collective Latent Feature Learning
Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection
Local Structure Preservation for Nonlinear Clustering
Using Locality Preserving Projections to Improve the Performance of Kernel Clustering
Joint Robust Multi-view Spectral Clustering
Intra- and Inter-modal Multilinear Pooling with Multitask Learning for Video Grounding
Convolutional Sparse Coded Dynamic Brain Functional Connectivity
A Style-Specific Music Composition Neural Network
An Efficient Algorithm Combining Spectral Clustering with Feature Selection
Parameter-Free Extreme Learning Machine for Imbalanced Classification
Content-Aware Summarization of Broadcast Sports Videos: An Audio–Visual Feature Extraction Approach
Bipartite Synchronization Analysis of Fractional Order Coupled Neural Networks with Hybrid Control
Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering
An Application of Generalized Fuzzy Hyperbolic Model for Solving Fractional Optimal Control Problems with Caputo–Fabrizio Derivative
Stochastic One-Step Training for Feedforward Artificial Neural Networks
Ensemble pruning of ELM via migratory binary glowworm swarm optimization and margin distance minimization
Asynchronous \(l_{2}\)–\(l_{\infty }\) Filtering for Discrete-Time Fuzzy Markov Jump Neural Networks with Unreliable Communication Links
An LMI Based State Estimation for Fractional-Order Memristive Neural Networks with Leakage and Time Delays
Robust Biometrics from Motion Wearable Sensors Using a D-vector Approach
Low-Rank Discriminative Adaptive Graph Preserving Subspace Learning
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data
Region Stability and Stabilization of Recurrent Neural Network with Parameter Disturbances
A New Robust Fuzzy Clustering Approach: DBKIFCM
Improved Sparsity of Support Vector Machine with Robustness Towards Label Noise Based on Rescaled \(\alpha \)-Hinge Loss with Non-smooth Regularizer
Locate the Bounding Box of Neural Networks with Intervals
Finite Time Anti-synchronization of Quaternion-Valued Neural Networks with Asynchronous Time-Varying Delays
Complementary Boundary Estimation Network for Temporal Action Proposal Generation
Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods
Specialization in Hierarchical Learning Systems
Adaptively Converting Auxiliary Attributes and Textual Embedding for Video Captioning Based on BiLSTM
A Robust Least Squares Support Vector Machine Based on L∞-norm
EW-Fisher: A Novel Loss Function for Deep Learning-Based Image Co-Segmentation
Cost-sensitive Dictionary Learning for Software Defect Prediction
Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller
Extracting Classification Rules from Artificial Neural Network Trained with Discretized Inputs
Two-Stage Game Strategy for Multiclass Imbalanced Data Online Prediction
Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest
Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders
Detecting Ordinal Subcascades
Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network
Output Layer Multiplication for Class Imbalance Problem in Convolutional Neural Networks
Pedestrian Detection Based on Light-Weighted Separable Convolution for Advanced Driver Assistance Systems
Adaptive Synchronization of Complex Dynamical Networks via Distributed Pinning Impulsive Control
Convergence of Batch Gradient Method Based on the Entropy Error Function for Feedforward Neural Networks
