Feature extraction/selection/learning

ModalDrop: Modality-aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition

Multi-aspect Interest Neighbor-augmented Network for Next-basket Recommendation

RUNTIME PREDICTION OF MACHINE LEARNING ALGORITHMS IN AUTOML SYSTEMS

Frequency and Scale Perspectives of Feature Extraction

SMCL: SALIENCY MASKED CONTRASTIVE LEARNING FOR LONG-TAILED VISUAL RECOGNITION

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning

Understandable ReLU Neural Network for Signal Classification

Data-Driven Graph Convolutional Neural Networks for Power System Contingency Analysis

GAITMIXER: SKELETON-BASED GAIT REPRESENTATION LEARNING VIA WIDE-SPECTRUM MULTI-AXIAL MIXER

RepackagingAugment: Overcoming Prediction Error Amplification in Weight-averaged Speech Recognition Models Subject to Self-training

Joint Antenna Selection and Beamforming in Integrated Automotive Radar Sensing-Communications with Quantized Double Phase Shifters

Towards a Robust and Efficient Classifier for Real World Radio Signal Modulation Classification