Statistical analysis of the community lockdown for COVID-19 pandemic
Research on highway vehicle detection based on faster R-CNN and domain adaptation
Robust multi-objective visual bayesian personalized ranking for multimedia recommendation
Multi-scale object detection for high-speed railway clearance intrusion
A lightweight intelligent network intrusion detection system using OCSVM and Pigeon inspired optimizer
Betweenness centrality-based community adaptive network representation for link prediction
N2PN: Non-reference two-pathway network for low-light image enhancement
Multi-scale feature aggregation network for Image super-resolution
An opponent-adaptive strategy to increase utility and fairness in agents’ negotiation
Semi-supervised learning for k-dependence Bayesian classifiers
Bi-directional class-wise adversaries for unsupervised domain adaptation
Video prediction: a step-by-step improvement of a video synthesis network
A semi-hard voting combiner scheme to ensemble multi-class probabilistic classifiers
Learning general temporal point processes based on dynamic weight generation
Improving sample efficiency in Multi-Agent Actor-Critic methods
Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery
A human-like decision intelligence for obstacle avoidance in autonomous vehicle parking
A generalized soft likelihood function in combining multi-source belief distribution functions
Dictionary learning and face recognition based on sample expansion
New approaches for mining regular high utility sequential patterns
Knowledge-aware recommendation model with dynamic co-attention and attribute regularize
Steepest deep bipolar Cascade correlation for finger-vein verification
Time-Dynamic Markov Random Fields for price outcome prediction in the presence of lobbying
Reference-guided deep deblurring via a selective attention network
Optimal distributed parallel algorithms for deep learning framework Tensorflow
High average-utility itemsets mining: a survey
A new non-adaptive optimization method: Stochastic gradient descent with momentum and difference
Interactive visualization-based surveillance video synopsis
W-net and inception residual network for skin lesion segmentation and classification
SybilSort algorithm - a friend request decision tracking recommender system in online social networks
Ba-PSO: A Balanced PSO to solve multi-objective grid scheduling problem
Cost-efficient multi-service task offloading scheduling for mobile edge computing
Consensus of a new multi-agent system with impulsive control which can heuristically construct the communication network topology
Semi-supervised weighting for averaged one-dependence estimators
Lie group manifold analysis: an unsupervised domain adaptation approach for image classification
A cooperative approach for combining particle swarm optimization and differential evolution algorithms to solve single-objective optimization problems
UAMNer: uncertainty-aware multimodal named entity recognition in social media posts
Fuzzy entropy and fuzzy support-based boosting random forests for imbalanced data
Nation-wide human mobility prediction based on graph neural networks
Image-based benchmarking and visualization for large-scale global optimization
The arithmetics of two dimensional belief functions
Bloat-aware GP-based methods with bloat quantification
Negation of BPA: a belief interval approach and its application in medical pattern recognition
Small object detection via dual inspection mechanism for UAV visual images
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos
Order dispatching for an ultra-fast delivery service via deep reinforcement learning
Adaptive spatial-temporal graph attention networks for traffic flow forecasting
Sparse data augmentation based on encoderforest for brain network classification
An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques
Attack-less adversarial training for a robust adversarial defense
