ProbExplainer: A Library for Unified Explainability of Probabilistic Models and an Application in Interneuron Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54303-6_5
Reference21 articles.
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3. Bielza, C., Larranaga, P.: Discrete Bayesian network classifiers: a survey. ACM Comput. Surv. (CSUR) 47(1), 1–43 (2014)
4. DeFelipe, J., et al.: New insights into the classification and nomenclature of cortical GABAergic interneurons. Nat. Rev. Neurosci. 14(3), 202–216 (2013)
5. Derks, I.P., De Waal, A.: A taxonomy of explainable Bayesian networks. In: Gerber, A. (eds.) Artificial Intelligence Research. SACAIR 2021. CCIS, vol. 1342, pp. 220–235. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-66151-9_14
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