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Bayesian networks for interpretable machine learning and optimization
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Metadata
- Authors
- Mihaljević, B., Bielza, C., & Larrañaga, P.
- Affiliations
- Universidad Autónoma de Madrid (ES)
- Universidad Politécnica de Madrid (ES)
- Corresponding author
- Mihaljević, Bojan
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 456
- Pages
- 648-665
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W3173192496
- Cited by
- 123
- References
- 171
- Citations by year
- 2026: 19 · 2025: 34 · 2024: 31 · 2023: 22 · 2022: 16 · 2021: 1
- FWCI
- 5.90
- Type
- journal article
- Language
- en
- Open access
- green
- oa.upm.es
- Licence
- Locations
- Neurocomputing (publishedVersion)
- Hispana (submittedVersion, cc-by-nc-nd)
- UPM Digital Archive (Technical University of Madrid) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Artificial Intelligence › Gaussian Processes and Bayesian Inference
- Keywords
- Bayesian networks, model interpretability, probabilistic reasoning, joint probability distribution, conditional independence, directed acyclic graphs, estimation of distribution algorithms, heuristic optimization, evolutionary algorithms, anomaly detection, clustering, supervised classification, temporal modeling, bioinformatics applications, neuroscience applications
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