Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering
Systematic Homonym Detection and Replacement Based on Contextual Word Embedding
On the Selection of the Regularization Parameter in Stacking
Delay-Dependent Criteria for Global Exponential Stability of Time-Varying Delayed Fuzzy Inertial Neural Networks
Leader-Following Consensus of Non-linear Multi-agent Systems with Interval Time-Varying Delay via Impulsive Control
Evolved Fuzzy Min-Max Neural Network for Unknown Labeled Data and its Application on Defect Recognition in Depth
A New Varying-Parameter Design Formula for Solving Time-Varying Problems
Estimating the Depth of Anesthesia During the Induction by a Novel Adaptive Neuro-Fuzzy Inference System: A Case Study
A Novel Enhanced Naïve Bayes Posterior Probability (ENBPP) Using Machine Learning: Cyber Threat Analysis
Context Module Based Multi-patch Hierarchical Network for Motion Deblurring
Real-Time Lossy Audio Signal Reconstruction Using Novel Sliding Based Multi-instance Linear Regression/Random Forest and Enhanced CGPANN
Joint Spectral Clustering based on Optimal Graph and Feature Selection
Leader-Following Mean Square Consensus of Stochastic Multi-agent Systems via Periodically Intermittent Event-Triggered Control
Finite-Time Stabilization of Memristive Neural Networks with Time Delays
Densemask RCNN: A Hybrid Model for Skin Burn Image Classification and Severity Grading
Stick-Breaking Dependent Beta Processes with Variational Inference
Identification of Nonlinear Dynamical System Based on Raised-Cosine Radial Basis Function Neural Networks
Label-Embedding Bi-directional Attentive Model for Multi-label Text Classification
Design of Stochastic Passivity and Passification for Delayed BAM Neural Networks with Markov Jump Parameters via Non-uniform Sampled-Data Control
Online Support Vector Regression Based Adaptive NARMA-L2 Controller for Nonlinear Systems
Political Optimizer Based Feedforward Neural Network for Classification and Function Approximation
On Regularization Based Twin Support Vector Regression with Huber Loss
Multi-class support vector machine based on the minimization of class variance
Computation of CNN’s Sensitivity to Input Perturbation
The Future of Human Activity Recognition: Deep Learning or Feature Engineering?
Robust Passivity and Stability Analysis of Uncertain Complex-Valued Impulsive Neural Networks with Time-Varying Delays
Manifold Preserving CNN for Pixel-Based Object Labelling in Images for High Dimensional Feature spaces
Bifurcations Induced by Self-connection Delay in High-Order Fractional Neural Networks
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images
Deep CNN for Brain Tumor Classification
Deep Neural Networks Regularization Using a Combination of Sparsity Inducing Feature Selection Methods
Use of Neural Network Based Prediction Algorithms for Powering Up Smart Portable Accessories
Network-Based \(H_\infty \) Filtering for Descriptor Markovian Jump Systems with a Novel Neural Network Event-Triggered Scheme
An Improved Finite Time Convergence Recurrent Neural Network with Application to Time-Varying Linear Complex Matrix Equation Solution
Complete Stacked Denoising Auto-Encoders for Regression
\((\mu ,\nu )-\)Pseudo Almost Automorphic Solutions of Neutral Type Clifford-Valued High-Order Hopfield Neural Networks with D Operator
Mean Square Stabilization of Neural Networks with Weighted Try once Discard Protocol and State Observer
Online Social Network Security: A Comparative Review Using Machine Learning and Deep Learning
Correction to: Fukunaga–Koontz Convolutional Network with Applications on Character Classification
