no code implementations • 23 Oct 2023 • Kaiming Fu, Peng Wei, Juan Villacres, Zhaodan Kong, Stavros G. Vougioukas, Brian N. Bailey
Fruit distribution is pivotal in shaping the future of both agriculture and agricultural robotics, paving the way for a streamlined supply chain.
no code implementations • 1 Mar 2023 • Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Zhaodan Kong, Kwan-Liu Ma
Researchers have proposed various methods for visually interpreting the Convolutional Neural Network (CNN) via saliency maps, which include Class-Activation-Map (CAM) based approaches as a leading family.
no code implementations • 24 Oct 2022 • Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen
Explainability plays an increasingly important role in machine learning.
1 code implementation • 15 Apr 2022 • Gang Chen, Yu Lu, Rong Su, Zhaodan Kong
Machine learning-based methods have achieved successful applications in machinery fault diagnosis.
no code implementations • 23 Sep 2016 • Derya Aksaray, Austin Jones, Zhaodan Kong, Mac Schwager, Calin Belta
This paper addresses the problem of learning optimal policies for satisfying signal temporal logic (STL) specifications by agents with unknown stochastic dynamics.
Systems and Control