A review on deep learning for recommender systems: challenges and remedies
A comprehensive review of recent advances on deep vision systems
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
Establishment of a deep learning network based on feature extraction and its application in gearbox fault diagnosis
Deep ensemble network based on multi-path fusion
Primary user characterization for cognitive radio wireless networks using a neural system based on Deep Learning
Arabic named entity recognition via deep co-learning
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation
Bayesian network hybrid learning using an elite-guided genetic algorithm
Survey on supervised machine learning techniques for automatic text classification
Local structure learning of chain graphs with the false discovery rate control
A comparative study of hash based approximate nearest neighbor learning and its application in image retrieval
A performance comparison of machine learning classification approaches for robust activity of daily living recognition
Using machine learning to predict student difficulties from learning session data
An introduction to brain emotional learning inspired models (BELiMs) with an example of BELiMs’ applications
A survey of machine learning techniques for food sales prediction
Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning
A comparative study of neural-network feature weighting
Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey
A review of modularization techniques in artificial neural networks
Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks
Exploration of a mechanism to form bionic, self-growing and self-organizing neural network
The investigation of neural networks performance in side-channel attacks
Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks
A wavelet-based hybrid neural network for short-term electricity prices forecasting
Orthogonal based ANN and multiGA for optimization on WEDM of Ti–48Al intermetallic alloys
Empirically grounded agent-based models of innovation diffusion: a critical review
