HT-AggNet: Hierarchical Temporal Aggregation Network with Near-Zero-Cost Layer Stacking for Human Activity Recognition

Real-Time On-Device Continual Learning Based on a Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition

CALANet: Cheap All-Layer Aggregation for Human Activity Recognition

Memetic multilabel feature selection using pruned refinement process

MixER: Mixup-based Experience Replay for Online Class-Incremental Learning

Deep Reinforcement Learning for Cooperative Robots Based on Adaptive Sentiment Feedback

Efficient Human Activity Recognition using Lookup Table-based Neural Architecture Search for Mobile Devices

GTSNet: Flexible architecture under budget constraint for real-time human activity recognition from wearable sensor

Table-Balancing Cooperative Robot Based on Deep Reinforcement Learning

Achieving an Optimal Group Structure in a Neural Architecture Search