Unscented Kalman Filter/Smoother for a CBRN puff-based dispersion model. - Gabriel Terejanu; Tarunraj Singh; Peter D. Scott (FUSION, 2007)

A novel Gaussian Sum Filter Method for accurate solution to the nonlinear filtering problem. - Gabriel Terejanu; Puneet Singla; Tarunraj Singh; Peter D. Scott (FUSION, 2008)

Decision based uncertainty propagation using adaptive Gaussian mixtures. - Gabriel Terejanu; Puneet Singla; Tarunraj Singh; Peter D. Scott (FUSION, 2009)

Approximate interval method for epistemic uncertainty propagation using Polynomial Chaos and evidence theory. - Gabriel Terejanu; Puneet Singla; Tarunraj Singh; Peter D. Scott (ACC, 2010)

Approximate propagation of both epistemic and aleatory uncertainty through dynamic systems. - Gabriel Terejanu; Puneet Singla; Tarunraj Singh; Peter D. Scott (FUSION, 2010)

A Decision-Centric Framework for Density Forecasting. - Gabriel Terejanu; Puneet Singla; Tarunraj Singh; Peter D. Scott (J. Adv. Inf. Fusion, 2010)

Application of Predictive Model Selection to Coupled Models - Gabriel Terejanu; Todd Oliver; Chris Simmons (CoRR, 2011)

Bayesian experimental design for the active nitridation of graphite by atomic nitrogen - Gabriel Terejanu; Rochan R. Upadhyay; Kenji Miki (CoRR, 2011)

Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data - Gabriel Terejanu; Yang Cheng; Tarunraj Singh; Peter D. Scott (CoRR, 2011)

Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation. - Gabriel Terejanu; Puneet Singla; Tarunraj Singh; Peter D. Scott (IEEE Trans. Autom. Control., 2011)

Data partition methodology for validation of predictive models. - Rebecca E. Morrison; Corey M. Bryant; Gabriel Terejanu; Serge Prudhomme; Kenji Miki (Comput. Math. Appl., 2013)

Model-driven data collection for biological systems. - Xiao Lin; Gabriel Terejanu (ACC, 2014)

Approximate Bayesian Computation based on Progressive Correction of Gaussian Components. - Jiting Xu; Gabriel Terejanu (ACC, 2014)

Active data collection for inadequate models. - Gabriel Terejanu (FUSION, 2015)

A stacked gaussian process for predicting geographical incidence of aflatoxin with quantified uncertainties. - Hui Li; Asif J. Chowdhury; Gabriel Terejanu; Anindya Chanda; Sourav Banerjee (SIGSPATIAL/GIS, 2015)

Analytical Stacked Gaussian Process Model. - Kareem E. Abdelfatah; Junshu Bao; Gabriel Terejanu (CoRR, 2016)

An Approximate Bayesian Long Short- Term Memory Algorithm for Outlier Detection. - Chao Chen; Xiao Lin; Gabriel Terejanu (ICPR, 2018)

Sub-event Detection on Twitter Network. - Chao Chen; Gabriel Terejanu (AIAI, 2018)

Geospatial uncertainty modeling using Stacked Gaussian Processes. - Kareem E. Abdelfatah; Junshu Bao; Gabriel Terejanu (Environ. Model. Softw., 2018)

ENLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models. - Xiao Lin; Gabriel Terejanu (ICASSP, 2019)

Approximate Bayesian Neural Network Trained with Ensemble Kalman Filter. - Chao Chen; Xiao Lin; Yuan Huang; Gabriel Terejanu (IJCNN, 2019)

A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications. - Asif J. Chowdhury; Wenqiang Yang; Kareem E. Abdelfatah; Mehdi Zare; Andreas Heyden; Gabriel Terejanu (CoRR, 2019)

Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. - Asif J. Chowdhury; Gabriel Terejanu (CoRR, 2019)

Approximate computational approaches for Bayesian sensor placement in high dimensions. - Xiao Lin; Asif J. Chowdhury; Xiaofan Wang 002; Gabriel Terejanu (Inf. Fusion, 2019)

Explainable Deep Modeling of Tabular Data using TableGraphNet. - Gabriel Terejanu; Jawad Chowdhury; Rezaur Rashid; Asif J. Chowdhury (CoRR, 2020)

From Causal Pairs to Causal Graphs. - Rezaur Rashid; Jawad Chowdhury; Gabriel Terejanu (ICMLA, 2022)

Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. - Rezaur Rashid; Jawad Chowdhury; Gabriel Terejanu (DSAA, 2023)

CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. - Jawad Chowdhury; Gabriel Terejanu (ICMLA, 2023)

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. - Jawad Chowdhury; Rezaur Rashid; Gabriel Terejanu (ICPRAM, 2023)

Machine Fault Classification Using Hamiltonian Neural Networks. - Jeremy Shen; Jawad Chowdhury; Sourav Banerjee; Gabriel Terejanu (ICPRAM, 2023)

Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. - Joshua Melton; Shannon Reid; Gabriel Terejanu; Siddharth Krishnan (ASONAM (3), 2024)

Quantifying Influencer Impact on Affective Polarization. - Rezaur Rashid; Joshua Melton; Ouldouz Ghorbani; Siddharth Krishnan; Shannon Reid; Gabriel Terejanu (ICMLA, 2024)

Quantifying Influencer Effects on Affective Polarization. - Rezaur Rashid; Joshua Melton; Ouldouz Ghorbani; Siddharth Krishnan; Shannon Reid; Gabriel Terejanu (CoRR, 2024)

Invariant Molecular Representations for Heterogeneous Catalysis. - Jawad Chowdhury; Charles Fricke; Olajide Bamidele; Mubarak Bello; Wenqiang Yang; Andreas Heyden; Gabriel Terejanu (J. Chem. Inf. Model., 2024)

From Observations to Causations: A GNN-Based Probabilistic Prediction Framework for Causal Discovery. - Rezaur Rashid; Gabriel Terejanu (IC3K (KDIR), 2025)

CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization. - Jawad Chowdhury; Gabriel Terejanu (ICPRAM, 2025)