
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Bias, noise, and interpretability in machine learning
Hugo G. Schnack
Machine learning (2019), pp. 307-328
Closed Access | Times Cited: 5
Hugo G. Schnack
Machine learning (2019), pp. 307-328
Closed Access | Times Cited: 5
Showing 5 citing articles:
Acoustic speech markers for schizophrenia-spectrum disorders: a diagnostic and symptom-recognition tool
Janna N. de Boer, Alban Voppel, Sanne Brederoo, et al.
Psychological Medicine (2021) Vol. 53, Iss. 4, pp. 1302-1312
Open Access | Times Cited: 52
Janna N. de Boer, Alban Voppel, Sanne Brederoo, et al.
Psychological Medicine (2021) Vol. 53, Iss. 4, pp. 1302-1312
Open Access | Times Cited: 52
Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models
Evren Dağlarlı
IntechOpen eBooks (2020)
Open Access | Times Cited: 29
Evren Dağlarlı
IntechOpen eBooks (2020)
Open Access | Times Cited: 29
Statistical Analysis—Measurement Error
Timo B. Brakenhoff, Maarten van Smeden, Daniel L. Oberski
Springer eBooks (2023), pp. 97-108
Closed Access | Times Cited: 9
Timo B. Brakenhoff, Maarten van Smeden, Daniel L. Oberski
Springer eBooks (2023), pp. 97-108
Closed Access | Times Cited: 9
Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models for Cyber-Physical Systems
Evren Dağlarlı
Advances in systems analysis, software engineering, and high performance computing book series (2020), pp. 42-67
Closed Access | Times Cited: 18
Evren Dağlarlı
Advances in systems analysis, software engineering, and high performance computing book series (2020), pp. 42-67
Closed Access | Times Cited: 18
Minimum Ignition Energy (MIE) prediction models for ignition sensitive fuels using machine learning methods
Purvali Chaudhari, Nilesh Ade, Lisa M. Pérez, et al.
Journal of Loss Prevention in the Process Industries (2020) Vol. 69, pp. 104343-104343
Closed Access | Times Cited: 14
Purvali Chaudhari, Nilesh Ade, Lisa M. Pérez, et al.
Journal of Loss Prevention in the Process Industries (2020) Vol. 69, pp. 104343-104343
Closed Access | Times Cited: 14