Group competition-cooperation optimization algorithm
Neural attention model for recommendation based on factorization machines
Multi-scale fractal residual network for image super-resolution
FB-GSA: A fuzzy bi-level programming based gravitational search algorithm for unconstrained optimization
Cluster-based information retrieval using pattern mining
Exploiting multi-attention network with contextual influence for point-of-interest recommendation
An effective method using clustering-based adaptive decomposition and editing-based diversified oversamping for multi-class imbalanced datasets
Forecasting and simulation of cutting force in virtual surgery based on particle filtering
Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment
An automatic framework for endoscopic image restoration and enhancement
Reconstruction of gene regulatory networks with multi-objective particle swarm optimisers
A novel bat algorithm with dynamic membrane structure for optimization problems
Infrared image super-resolution reconstruction by using generative adversarial network with an attention mechanism
Chameleon algorithm based on mutual k-nearest neighbors
Evolutionary many-objective optimization algorithm based on angle and clustering
PointFusionNet: Point feature fusion network for 3D point clouds analysis
Fast Top-K association rule mining using rule generation property pruning
A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups
Vehicle theft recognition from surveillance video based on spatiotemporal attention
Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network
A deep learning approach for person identification using ear biometrics
WOLIF: An efficiently tuned classifier that learns to classify non-linear temporal patterns without hidden layers
Dual-Y network: infrared-visible image patches matching via semi-supervised transfer learning
Detecting unusual input to neural networks
Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement
TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases
SL2E-AFRE : Personalized 3D face reconstruction using autoencoder with simultaneous subspace learning and landmark estimation
Robustness comparison between the capsule network and the convolutional network for facial expression recognition
Multi-parameter safe screening rule for hinge-optimal margin distribution machine
Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network
Dictionary adaptation and variational mode decomposition for gyroscope signal enhancement
Link traffic speed forecasting using convolutional attention-based gated recurrent unit
Lightning search algorithm: a comprehensive survey
Robust dialog state tracker with contextual-feature augmentation
Improved integrate-and-fire neuron models for inference acceleration of spiking neural networks
Knowledge workers mental workload prediction using optimised ELANFIS
Fast multi-resolution occlusion: a method for explaining and understanding deep neural networks
Learning flat representations with artificial neural networks
Automatic prognosis of lung cancer using heterogeneous deep learning models for nodule detection and eliciting its morphological features
Convolutional residual network to short-term load forecasting
Complement component face space for 3D face recognition from range images
EfficientPose: Scalable single-person pose estimation
Selection of key features for PM2.5 prediction using a wavelet model and RBF-LSTM
A group decision making method with intuitionistic triangular fuzzy preference relations and its application
QSIM: A novel approach to node proximity estimation based on Discrete-time quantum walk
Video sketch: A middle-level representation for action recognition
A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis
Classifying univariate uncertain data
Weight and bias initialization routines for Sigmoidal Feedforward Network
A feature selection algorithm based on redundancy analysis and interaction weight
