Semi-supervised model-based clustering with positive and negative constraints. - Volodymyr Melnykov; Igor Melnykov; Semhar Michael (Adv. Data Anal. Classif., 2016)

An effective strategy for initializing the EM algorithm in finite mixture models. - Semhar Michael; Volodymyr Melnykov (Adv. Data Anal. Classif., 2016)

Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology. - Semhar Michael; Volodymyr Melnykov (J. Classif., 2016)

Studying Complexity of Model-based Clustering. - Semhar Michael; Volodymyr Melnykov (Commun. Stat. Simul. Comput., 2016)

Exploring the Daschle Collection using Text Mining. - Damon Bayer; Semhar Michael (CoRR, 2019)

Mixture modeling of data with multiple partial right-censoring levels. - Semhar Michael; Tatjana Miljkovic; Volodymyr Melnykov (Adv. Data Anal. Classif., 2020)

Clustering Large Datasets by Merging K-Means Solutions. - Volodymyr Melnykov; Semhar Michael (J. Classif., 2020)

Modeling subpopulations for hierarchically structured data. - Andrew Simpson 009; Semhar Michael; Dylan Borchert; Christopher Saunders; Larry Tang 001 (Stat. Anal. Data Min., 2024)

Additive Manufactured Inconel-625 with FEM - Averaged Nodes. - Jason Hasse; Semhar Michael; Anamika Prasad (IEEE DataPort, 2024)