A survey on wearable human activity recognition: innovative pipeline development for enhanced research and practice
Recent trends in Wearable Human Activity Recognition (WHAR) have led to an
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
Deep Neural Network Pruning with Progressive Regularizer
Pruning is a pivotal approach in network compression. It not only encourages lightweight
deep neural networks, but also helps to mitigate overfitting. Generally, regularization is used …
deep neural networks, but also helps to mitigate overfitting. Generally, regularization is used …
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models
In the expanding realm of sensor-based applications, the reliance on time-series data has
surged, posing challenges in explaining the decisions of complex black-box time-series …
surged, posing challenges in explaining the decisions of complex black-box time-series …
MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers
Neural network models have demonstrated exceptional performance in wearable human
activity recognition (HAR) tasks. However, the increasing size or complexity of HAR models …
activity recognition (HAR) tasks. However, the increasing size or complexity of HAR models …
[图书][B] Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania …
A Bifet - books.google.com
The 2024 edition of the European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases (ECML PKDD 2024) was held in Vilnius …
Practice of Knowledge Discovery in Databases (ECML PKDD 2024) was held in Vilnius …