Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition.

Learning the thresholds in the ORESTE method from historical preference information.

Few-shot learning based blind parameter estimation for multiple frequency-hopping signals.

Shift-invariant universal adversarial attacks to avoid deep-learning-based modulation classification.

Improved Perceptron of Subsurface Chlorophyll Maxima by a Deep Neural Network: A Case Study with BGC-Argo Float Data in the Northwestern Pacific Ocean.

Mining consensus sequence in multi-criteria group decision making with incomparability of alternatives and conflicts of experts.

Self-supervised learning of monocular depth using quantized networks.

Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition.

Research on Unexpected DNS Response from Open DNS Resolvers.

Detecting Malicious Domain Names with Abnormal WHOIS Records Using Feature-Based Rules.

Cascaded object detection networks for FMCW radars.

Soft Computing Techniques and Their Applications in Intel-ligent Industrial Control Systems: A Survey.

Generalized Haar Filter-Based Object Detection for Car Sharing Services.

Evaluating "Health Status" for DNS Resolvers.

Lightweight convolutional neural networks for player detection and classification.

Efficient deep network for vision-based object detection in robotic applications.

Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene.

Vision Sensor-Based Road Detection for Field Robot Navigation.