A Bayesian approach for inducing sparsity in generalized linear models with multi-category response. - Behrouz Madahian; Sujoy Roy; Dale Bowman; Lih-Yuan Deng; Ramin Homayouni (BMC Bioinform., 2015)

Phylogenetic tree construction using trinucleotide usage profile (TUP). - Si Chen; Lih-Yuan Deng; Dale Bowman; Jyh-Jen Horng Shiau; Tit-Yee Wong; Behrouz Madahian; Henry Horng-Shing Lu (BMC Bioinform., 2016)

Markov Analysis of Students' Professional Skills in Virtual Internships. - Vasile Rus; Dipesh Gautam; Dale Bowman; Arthur C. Graesser; David W. Shaffer (FLAIRS, 2017)

Weighted least squares estimation for exchangeable binary data. - Dale Bowman; E. Olusegun George (Comput. Stat., 2017)

Secure and Fast Encryption (SAFE) with Classical Random Number Generators. - Lih-Yuan Deng; Jyh-Jen Horng Shiau; Henry Horng-Shing Lu; Dale Bowman (ACM Trans. Math. Softw., 2018)

The Mathematical Foundations of Epistemic Network Analysis. - Dale Bowman; Zachari Swiecki; Zhiqiang Cai 002; Yeyu Wang; Brendan R. Eagan; Jeff T. Linderoth; David Williamson Shaffer (ICQE, 2020)

Extending RC4 to Construct Secure Random Number Generators. - Lih-Yuan Deng; Dale Bowman; Ching-Chi Yang; Henry Horng-Shing Lu (ANNSIM, 2021)

Searching for Large-Order Multiple Recursive Generators. - Kenneth B. Pasiah; Lih-Yuan Deng; Dale Bowman; Ching-Chi Yang (ANNSIM, 2021)

The Learner Data Institute - Conceptualization: A Progress Report. - Vasile Rus; Stephen E. Fancsali; Philip I. Pavlik Jr.; Deepak Venugopal; Arthur C. Graesser; Steven Ritter 001; Dale Bowman; The L. D. I. Team (EDM (Workshops), 2021)

An Information-theoretic approach to dimensionality reduction in data science. - Sambriddhi Mainali; Max H. Garzon; Deepak Venugopal; Kalidas Jana; Ching-Chi Yang; Nirman Kumar; Dale Bowman; Lih-Yuan Deng (Int. J. Data Sci. Anal., 2021)

Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. - Mahbubul Hasan; Lih-Yuan Deng; John Sabatini 001; Dale Bowman; Ching-Chi Yang; John Hollander (EDM, 2022)

Big Data Model Building Using Dimension Reduction and Sample Selection. - Lih-Yuan Deng; Ching-Chi Yang; Dale Bowman; Dennis K. J. Lin; Henry Horng-Shing Lu (J. Comput. Graph. Stat., 2024)