Learning domain invariant and specific representation for cross-domain person re-identification
A multiobjective multiperiod mean-semientropy-skewness model for uncertain portfolio selection
Occluded object tracking using object-background prototypes and particle filter
Multiobjective fuzzy clustering with multiple spatial information for Noisy color image segmentation
Overlapping Attributed Graph Clustering using Mixed strategy games
Robust twin bounded support vector machines for outliers and imbalanced data
Saliency prediction on omnidirectional images with attention-aware feature fusion network
Multi-objective whale optimization algorithm and multi-objective grey wolf optimizer for solving next release problem with developing fairness and uncertainty quality indicators
Heart rate estimation based on face video under unstable illumination
An automated fault detection system for communication networks and distributed systems
Online deep learning based on auto-encoder
PH-model: enhancing multi-passage machine reading comprehension with passage reranking and hierarchical information
Mobile sensor patrol path planning in partially observable border regions
A novel clustering ensemble model based on granular computing
Smooth twin bounded support vector machine with pinball loss
Feasibility, planning and control of ground-wall transition for a suctorial hexapod robot
A new dominance relation based on convergence indicators and niching for many-objective optimization
EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild
A new transductive learning method with universum data
Incomplete multi-view subspace clustering with adaptive instance-sample mapping and deep feature fusion
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform
Adaptive fusion with multi-scale features for interactive image segmentation
Solving microelectronic thermal management problems using a generalized spiral optimization algorithm
Multiple ant colony optimization using both novel LSTM network and adaptive Tanimoto communication strategy
Multiview image generation for vehicle reidentification
Multi-GPU approach to global induction of classification trees for large-scale data mining
CAFR-CNN: coarse-to-fine adaptive faster R-CNN for cross-domain joint optic disc and cup segmentation
Robust predictive control of coupled water tank plant
Direct full quantification of the left ventricle via multitask regression and classification
Improving cluster recovery with feature rescaling factors
Depth scale balance saliency detection with connective feature pyramid and edge guidance
Multi-agent deep reinforcement learning with type-based hierarchical group communication
Multi-stream fish detection in unconstrained underwater videos by the fusion of two convolutional neural network detectors
Single image rain streak removal via layer similarity prior
Moth-flame optimization algorithm based on diversity and mutation strategy
Self-regulated differential evolution for real parameter optimization
Bayesian regularization restoration algorithm for photon counting images
CapsNet-based supervised hashing
Multi-attention based semantic deep hashing for cross-modal retrieval
Cost-sensitive hierarchical classification via multi-scale information entropy for data with an imbalanced distribution
Dual generative adversarial active learning
Phototropic algorithm for global optimisation problems
Automated parameter tuning as a bilevel optimization problem solved by a surrogate-assisted population-based approach
Action recognition using interrelationships of 3D joints and frames based on angle sine relation and distance features using interrelationships
Sequential neural networks for multi-resident activity recognition in ambient sensing smart homes
A survey for user behavior analysis based on machine learning techniques: current models and applications
TensSent: a tensor based sentimental word embedding method
A probabilistic linguistic TODIM method considering cumulative probability-based Hellinger distance and its application in waste mobile phone recycling
Depression and anorexia detection in social media as a one-class classification problem
A novel similarity measure for spatial entity resolution based on data granularity model: Managing inconsistencies in place descriptions
