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04/21/2023
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers
Although vision transformers (ViTs) have shown promising results in vari...
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12/25/2021
A comparative study on machine learning models combining with outlier detection and balanced sampling methods for credit scoring
Peer-to-peer (P2P) lending platforms have grown rapidly over the past de...
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10/31/2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Mobile and wearable devices have enabled numerous applications, includin...
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10/11/2021
Artificial Intelligence in Electric Machine Drives: Advances and Trends
This review paper systematically summarizes the existing literature on a...
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05/29/2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
In this survey, we systematically summarize the current literature on st...
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05/02/2021
A simple consistent Bayes factor for testing the Kendall rank correlation coefficient
In this paper, we propose a simple and easy-to-implement Bayesian hypoth...
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10/25/2020
Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation via Probabilistic Inference
In this paper, we extend a famous motion planning approach GPMP2 to mult...
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07/25/2020
Few-Shot Bearing Anomaly Detection Based on Model-Agnostic Meta-Learning
The rapid development of artificial intelligence and deep learning techn...
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12/02/2019
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
Most of the data-driven approaches applied to bearing fault diagnosis up...
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11/04/2019
Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE
The optimization of electric machines at multiple operating points is cr...
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01/24/2019