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Imputation of data Missing Not at Random: Artificial generation and benchmark analysis.

, , , and . Expert Syst. Appl., (2024)

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Feature Discretization with Relevance and Mutual Information Criteria., and . ICPRAM (Selected Papers), volume 318 of Advances in Intelligent Systems and Computing, page 101-118. Springer, (2013)A Dynamic Wrapper Method for Feature Discretization and Selection., and . ICPRAM (1), page 103-112. SciTePress, (2012)A nonsmoothing approach to the estimation of vessel contours in angiograms., and . IEEE Trans. Med. Imaging, 14 (1): 162-172 (1995)A Generative Dyadic Aspect Model for Evidence Accumulation Clustering., , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 104-116. Springer, (2011)A MAP Approach to Evidence Accumulation Clustering., , , , , and . ICPRAM (Selected Papers), volume 318 of Advances in Intelligent Systems and Computing, page 85-100. Springer, (2013)Similarity-Based Clustering of Sequences Using Hidden Markov Models., , and . MLDM, volume 2734 of Lecture Notes in Computer Science, page 86-95. Springer, (2003)Feature selection for clustering categorical data with an embedded modelling approach., , and . Expert Syst. J. Knowl. Eng., 32 (3): 444-453 (2015)Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach., , and . ICASSP (2), page 861-864. IEEE, (2006)Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints., , , , , , , and . CoRR, (2024)Cosegmentation for Image Sequences., and . ICIAP, page 635-640. IEEE Computer Society, (2007)