Uncertainty investigations in nonlinear aeroelastic systems. - Jian Deng; Cristina Anton; Yau Shu Wong (J. Comput. Appl. Math., 2011)

Symplectic Numerical Schemes for Stochastic Systems Preserving Hamiltonian Functions. - Cristina Anton; Yau Shu Wong; Jian Deng (NAA, 2012)

Moving Limit Cycles Model of an Economic System. - Vladimir Kryuchkov; Mark Solomonovich; Cristina Anton (NAA, 2016)

Machine learning algorithms for mode-of-action classification in toxicity assessment. - Yile Zhang; Yau Shu Wong; Jian Deng; Cristina Anton; Stephan Gabos; Weiping Zhang; Dorothy Yu Huang; Can Jin (BioData Min., 2016)

Explicit pseudo-symplectic methods based on generating functions for stochastic Hamiltonian systems. - Cristina Anton (J. Comput. Appl. Math., 2020)

A survey of deep learning models in medical therapeutic areas. - Alberto Nogales; Álvaro J. García-Tejedor; Diana Monge; Juan Serrano Vara; Cristina Anton (Artif. Intell. Medicine, 2021)

Mining COVID-19 Data to Predict The Effect of Policies on Severity of Outbreaks. - Mohamad El-Hajj; Calin Anton; Cristina Anton; Dominic Dobosz; Iain Nicholas Smith; Fattima Deiab; Nagam Saleh (BIBM, 2023)

Model-based clustering of functional data via mixtures of t distributions. - Cristina Anton; Iain Nicholas Smith (Adv. Data Anal. Classif., 2024)

Preliminary Results on Using Clustering of Functional Data to Identify Patients with Alzheimer's Disease by Analyzing Brain MRI Scans. - Calin Anton; Cristina Anton; Mohamad El-Hajj; Matthew Craner; Richard Lui (BIOSTEC (1), 2025)

Cluster weighted models with multivariate skewed distributions for functional data. - Cristina Anton; Roy Shivam Ram Shreshtth (CoRR, 2025)