A review on machine unlearning

H Zhang, T Nakamura, T Isohara, K Sakurai - SN Computer Science, 2023 - Springer
Recently, an increasing number of laws have governed the useability of users' privacy. For
example, Article 17 of the General Data Protection Regulation (GDPR), the right to be …

AI accountability: Approaches, affecting factors, and challenges

AK Raja, J Zhou - Computer, 2023 - ieeexplore.ieee.org
Accountability is one of core ethical principles for artificial intelligence (AI) systems. It is often
cited as a must-have property especially in high-stake applications. This survey article …

Workflow provenance in the lifecycle of scientific machine learning

R Souza, LG Azevedo, V Lourenço… - Concurrency and …, 2022 - Wiley Online Library
Abstract Machine learning (ML) has already fundamentally changed several businesses.
More recently, it has also been profoundly impacting the computational science and …

Quantifying Inter-Well Connectivity and Sweet-Spot Identification through Wavelet Analysis and Machine Learning Techniques

R Kalule, J Iskandarov, EW Al-Shalabi… - Abu Dhabi …, 2024 - onepetro.org
This study leverages wavelet analysis and machine learning (ML) techniques, including a
1D Convolutional Neural Network (1D CNN), to analyze inter-well connectivity and pinpoint …

[PDF][PDF] A Review on Machine Unlearning

張海波 - SN Computer Science, 2023 - kyutech.repo.nii.ac.jp
Recently, an increasing number of laws have governed the useability of users' privacy. For
example, Article 17 of the General Data Protection Regulation (GDPR), the right to be …

[ЦИТИРОВАНИЕ][C] Adding Hyperknowledge-enabled data lineage to a machine learning workflow management system for oil and gas

LG Azevedo, R Souza, R Brandão, VN Lourenço… - First Break, 2020 - earthdoc.org
Large-scale software ecosystems for computational science and engineering domains, such
as the ones typically found in the oil and gas industry, are composed of multiple components …