Interpretable machine learning and explainable artificial intelligence.
- Published in:
- Annals of Operations Research, 2025, v. 347, n. 2, p. 775, doi. 10.1007/s10479-025-06577-w
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- Publication type:
- Article
Works matching IS 02545330 AND DT 2025 AND VI 347 AND IP 2
Results: 13
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From rants to raves: unraveling movie critics' reviews with explainable artificial intelligence.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 937, doi. 10.1007/s10479-025-06484-0
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- Article
3
Heterogeneous business network based interpretable competitive firm identification: a graph neural network method.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 1133, doi. 10.1007/s10479-025-06476-0
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- Article
4
Leveraging interpretable machine learning in intensive care.
- Published in:
- Annals of Operations Research, 2025, v. 347, n. 2, p. 1093, doi. 10.1007/s10479-024-06226-8
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- Publication type:
- Article
5
Modified monotone policy iteration for interpretable policies in Markov decision processes and the impact of state ordering rules.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 783, doi. 10.1007/s10479-024-06158-3
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- Article
6
Understanding the challenges affecting food-sharing apps' usage: insights using a text-mining and interpretable machine learning approach.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 843, doi. 10.1007/s10479-024-06130-1
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- Publication type:
- Article
7
Toward interpretable machine learning: evaluating models of heterogeneous predictions.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 867, doi. 10.1007/s10479-024-06033-1
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- Article
8
Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 991, doi. 10.1007/s10479-024-05943-4
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- Publication type:
- Article
9
Population-based exploration in reinforcement learning through repulsive reward shaping using eligibility traces.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 1059, doi. 10.1007/s10479-023-05798-1
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- Article
10
Streamlining patients' opioid prescription dosage: an explanatory bayesian model.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 889, doi. 10.1007/s10479-023-05709-4
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- Publication type:
- Article
11
Interpretable multi-hop knowledge reasoning for gastrointestinal disease.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 959, doi. 10.1007/s10479-023-05650-6
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- Publication type:
- Article
12
How to customize an early start preparatory course policy to improve student graduation success: an application of uplift modeling.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 913, doi. 10.1007/s10479-023-05607-9
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- Publication type:
- Article
13
An interpretable system for predicting the impact of COVID-19 government interventions on stock market sectors.
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- Annals of Operations Research, 2025, v. 347, n. 2, p. 1031, doi. 10.1007/s10479-023-05311-8
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- Publication type:
- Article