Plant Disease Recognition Datasets in the Age of Deep Learning: Challenges and Opportunities

M Xu, JE Park, J Lee, J Yang, S Yoon - arXiv preprint arXiv:2312.07905, 2023 - arxiv.org
Plant disease recognition has witnessed a significant improvement with deep learning in
recent years. Although plant disease datasets are essential and many relevant datasets are …

Data Acquisition for Improving Model Confidence

Y Li, X Yu, N Koudas - Proceedings of the ACM on Management of Data, 2024 - dl.acm.org
In recent years, there has been a growing recognition that high-quality training data is
crucial for the performance of machine learning models. This awareness has catalyzed both …

The Necessity of AI Audit Standards Boards

D Manheim, S Martin, M Bailey, M Samin… - arXiv preprint arXiv …, 2024 - arxiv.org
Auditing of AI systems is a promising way to understand and manage ethical problems and
societal risks associated with contemporary AI systems, as well as some anticipated future …

Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features

R Valentin, SM Katz, J Lee, D Walker… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper addresses the challenge of probabilistic parameter estimation given
measurement uncertainty in real-time. We provide a general formulation and apply this to …

Reliable Breast Cancer Detection from Ultrasound Images using Image Segmentation

A Ciobotaru, D Gota, T Covrig… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Health 4.0 presents an intriguing vision for the healthcare sector. It effectively combines
cutting-edge technologies such as Healthcare Cyber-Physical Systems, medical image …

Physics-Enhanced Machine Learning for Chemical Kinetics

FA Döppel - tuprints.ulb.tu-darmstadt.de
The energy transition and the transformation of the chemical industry are major efforts in
addressing the challenges of climate change. Both require the development of new and …