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:
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Christoph Molnar, Gunnar König, Julia Herbinger, et al.
Lecture notes in computer science (2022), pp. 39-68
Open Access | Times Cited: 93
Christoph Molnar, Gunnar König, Julia Herbinger, et al.
Lecture notes in computer science (2022), pp. 39-68
Open Access | Times Cited: 93
Showing 51-75 of 93 citing articles:
Spatial Prediction of Organic Matter Quality in German Agricultural Topsoils
Ali Sakhaee, Thomas Scholten, Ruhollah Taghizadeh‐Mehrjardi, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1298-1298
Open Access | Times Cited: 1
Ali Sakhaee, Thomas Scholten, Ruhollah Taghizadeh‐Mehrjardi, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1298-1298
Open Access | Times Cited: 1
Spatiotemporal evolution of runoff and sediment and their dominant driving factors in the Lower Jinsha River basin
Ganggang Bai, Yun Deng, Min Chen, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175484-175484
Closed Access | Times Cited: 1
Ganggang Bai, Yun Deng, Min Chen, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175484-175484
Closed Access | Times Cited: 1
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production
Patrick Oliver Schenk, Christoph Kern
AStA Wirtschafts- und Sozialstatistisches Archiv (2024) Vol. 18, Iss. 2, pp. 131-184
Open Access | Times Cited: 1
Patrick Oliver Schenk, Christoph Kern
AStA Wirtschafts- und Sozialstatistisches Archiv (2024) Vol. 18, Iss. 2, pp. 131-184
Open Access | Times Cited: 1
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
Timo Freiesleben, Gunnar König, Christoph Molnar, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 7
Timo Freiesleben, Gunnar König, Christoph Molnar, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 7
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, et al.
Communications in computer and information science (2023), pp. 177-194
Closed Access | Times Cited: 3
Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, et al.
Communications in computer and information science (2023), pp. 177-194
Closed Access | Times Cited: 3
Algorithm-Agnostic Feature Attributions for Clustering
Christian A. Scholbeck, Henri Funk, Giuseppe Casalicchio
Communications in computer and information science (2023), pp. 217-240
Open Access | Times Cited: 3
Christian A. Scholbeck, Henri Funk, Giuseppe Casalicchio
Communications in computer and information science (2023), pp. 217-240
Open Access | Times Cited: 3
Learning to Comprehend and Trust Artificial Intelligence Outcomes: A Conceptual Explainable AI Evaluation Framework
Peter E.D. Love, Jane Matthews, Weili Fang, et al.
IEEE Engineering Management Review (2023) Vol. 52, Iss. 1, pp. 230-247
Closed Access | Times Cited: 3
Peter E.D. Love, Jane Matthews, Weili Fang, et al.
IEEE Engineering Management Review (2023) Vol. 52, Iss. 1, pp. 230-247
Closed Access | Times Cited: 3
Interpretable machine learning for psychological research: Opportunities and pitfalls
Mirka Henninger, Rudolf Debelak, Yannick Rothacher, et al.
(2022)
Open Access | Times Cited: 5
Mirka Henninger, Rudolf Debelak, Yannick Rothacher, et al.
(2022)
Open Access | Times Cited: 5
Pretrained transformers applied to clinical studies improve predictions of treatment efficacy and associated biomarkers
Gustavo Arango-Argoty, Elly Kipkogei, Ross E. Stewart, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Gustavo Arango-Argoty, Elly Kipkogei, Ross E. Stewart, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 2
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 2
Quality Dimensions of Machine Learning in Official Statistics
Younes Saidani, Florian Dumpert, Christian Borgs, et al.
AStA Wirtschafts- und Sozialstatistisches Archiv (2023) Vol. 17, Iss. 3-4, pp. 253-303
Open Access | Times Cited: 2
Younes Saidani, Florian Dumpert, Christian Borgs, et al.
AStA Wirtschafts- und Sozialstatistisches Archiv (2023) Vol. 17, Iss. 3-4, pp. 253-303
Open Access | Times Cited: 2
Counterfactual Explanations for Models of Code
Jürgen Cito, Işıl Dillig, Vijayaraghavan Murali, et al.
(2022), pp. 125-134
Open Access | Times Cited: 4
Jürgen Cito, Işıl Dillig, Vijayaraghavan Murali, et al.
(2022), pp. 125-134
Open Access | Times Cited: 4
A SHAP-based controversy analysis through communities on Twitter
Samy Benslimane, Θωμάς Παπαστεργίου, Jérôme Azé, et al.
Research Square (Research Square) (2024)
Open Access
Samy Benslimane, Θωμάς Παπαστεργίου, Jérôme Azé, et al.
Research Square (Research Square) (2024)
Open Access
Gamma power and beta envelope correlation are potential neural predictors of deep hypnosis
Yeganeh Farahzadi, Cameron T. Alldredge, Zoltán Kekecs
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Yeganeh Farahzadi, Cameron T. Alldredge, Zoltán Kekecs
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Decoding Vital Variables in Predicting Different Phases of Suicide Among Young Adults with Childhood Sexual Abuse: A Machine Learning Approach
W D Niu, Yi Feng, Jiaqi Li, et al.
(2024)
Closed Access
W D Niu, Yi Feng, Jiaqi Li, et al.
(2024)
Closed Access
Interaction Difference Hypothesis Test for Prediction Models
Thomas Welchowski, Dominic Edelmann
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 1298-1322
Open Access
Thomas Welchowski, Dominic Edelmann
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 1298-1322
Open Access
Coarse to superfine: can hyperspectral soil organic carbon models predict higher-resolution information?
Shayan Kabiri, Sharon O’Rourke
Frontiers in Environmental Science (2024) Vol. 12
Open Access
Shayan Kabiri, Sharon O’Rourke
Frontiers in Environmental Science (2024) Vol. 12
Open Access
Local List-Wise Explanations of LambdaMART
Amir Hossein Akhavan Rahnama, Judith Bütepage, Henrik Boström
Communications in computer and information science (2024), pp. 369-392
Closed Access
Amir Hossein Akhavan Rahnama, Judith Bütepage, Henrik Boström
Communications in computer and information science (2024), pp. 369-392
Closed Access
Explainable AI for Intrusion Detection Systems: A Model Development and Experts’ Evaluation
Henry Durojaye, Mohammad Naiseh
Lecture notes in networks and systems (2024), pp. 301-318
Closed Access
Henry Durojaye, Mohammad Naiseh
Lecture notes in networks and systems (2024), pp. 301-318
Closed Access
Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns
Mengqi Zhang, Matthias S. Treder, David Marshall, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 87, pp. 1-8
Closed Access
Mengqi Zhang, Matthias S. Treder, David Marshall, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 87, pp. 1-8
Closed Access
Evaluation Methodology for Interpretation Methods of Predictive Quality Models
Tobias Schulze, Daniel Buschmann, Robert Schmitt
Procedia CIRP (2024) Vol. 126, pp. 969-974
Open Access
Tobias Schulze, Daniel Buschmann, Robert Schmitt
Procedia CIRP (2024) Vol. 126, pp. 969-974
Open Access
Predicting Cloud‐To‐Ground Lightning in the Western United States From the Large‐Scale Environment Using Explainable Neural Networks
Dmitri Kalashnikov, Frances V. Davenport, Zachary M. Labe, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 22
Open Access
Dmitri Kalashnikov, Frances V. Davenport, Zachary M. Labe, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 22
Open Access
Unsupervised Modelling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers
Vijoleta Vrhovac, Marko Orošnjak, Kristina Ristić, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3794-3794
Open Access
Vijoleta Vrhovac, Marko Orošnjak, Kristina Ristić, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3794-3794
Open Access
Advances in AI-Enhanced Biomedical Imaging for Cancer Immunology
Willa Wen‐You Yim, Felicia Wee, Zheng Yi Ho, et al.
(2024) Vol. 01
Closed Access
Willa Wen‐You Yim, Felicia Wee, Zheng Yi Ho, et al.
(2024) Vol. 01
Closed Access
