A classification performance evaluation measure considering data separability
A Cross-Modal View to Utilize Label Semantics for Enhancing Student Network in Multi-Label Classification
A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification
A New Dataset for Hair Follicle Recognition and Classification in Robot-Aided Hair Transplantation
A Policy for Early Sequence Classification
A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases
An Ensemble Scheme Based on the Optimization of TOPSIS and AdaBoost for In-class Teaching Quality Evaluation
Architecturing Binarized Neural Networks for Traffic Sign Recognition
Boosting Few-Shot Classification with Lie Group Contrastive Learning
Context Enhancement Methodology for action recognition in still images
Discrete Denoising Diffusion Approach to Integer Factorization
Distinguishing the correctness of knowledge makes knowledge transfer better
Diversified Contrastive Learning For Few-Shot Classification
Enhancing Cross-lingual Few-shot Named Entity Recognition by Prompt-guiding
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification
FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
Gaze Behavior Patterns for Early Drowsiness Detection
GH-QFL: Enhancing Industrial Defect Detection through Hard Example Mining
HaarStyle:Revision Style Transfer Based on Multiple Resolutions
Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification
Sparse Block DETR: Precise and Speedy End-to-End Detector for PCB Defect Detection
SWP:A Sliding Window Prompt for Emotion Recognition in Conversation
VDCNet: A Vulnerability Detection and Classification System in Cross-Project Scenarios
CFNet: Point Cloud Upsampling via Cascaded Feedback Network
DA-TSD: Double Attention Two-Stage 3D Object Detector from Point Clouds
Enhanced Point Cloud Interpretation via Style Fusion and Contrastive Learning in Advanced 3D Data Analysis
PoinLin-Net: Point Cloud Completion Network Based on Geometric Feature Extraction and Linformer Structure
Accurate detection of spiking motifs in multi-unit raster plots
Context-dependent computations in spiking neural networks with apical modulation
QMTS: Fixed-point quantization for multiple-timescale spiking neural networks
Self-Organizing Temporally Coded Representation Learning
A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
CycleIK: Neuro-inspired Inverse Kinematics
Robot at the mirror: learning to imitate via associating self-supervised models
Approximation of Binary-Valued Functions by Networks of Finite VC Dimension
Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures
Improving Neural Network Verification Efficiency through Perturbation Refinement
Relative intrinsic dimensionality is intrinsic to learning
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
Componentwise Adversarial Attacks
Decorelated Weight Initialization by Backpropagation
Exploring individuality in human EEG using reservoir computing
Learning efficient backprojections across cortical hierarchies in real time
Neural self-organization for muscle-driven robots
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Reinforcement Learning with Memory based Automatic Chunking for Complex Skill Acquisition
Retinotopy improves the categorisation and localisation of visual objects in CNNs
Safe Reinforcement Learning in a Simulated Robotic Arm.