Gabriel Terejanu

According to our database, Gabriel Terejanu authored at least 31 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

Machine Fault Classification Using Hamiltonian Neural Networks.

Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS.

Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS.

Jawad Chowdhury, Gabriel Terejanu

Proceedings of the International Conference on Machine Learning and Applications, 2023

Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework.

Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

From Causal Pairs to Causal Graphs.

Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020

Explainable Deep Modeling of Tabular Data using TableGraphNet.

Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif J. Chowdhury

CoRR, 2020

2019

Approximate computational approaches for Bayesian sensor placement in high dimensions.

Xiao Lin, Asif J. Chowdhury, Xiaofan Wang, Gabriel Terejanu

Inf. Fusion, 2019

Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes.

Asif J. Chowdhury, Gabriel Terejanu

CoRR, 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 Bayesian Neural Network Trained with Ensemble Kalman Filter.

Chao Chen, Xiao Lin, Yuan Huang, Gabriel Terejanu

Proceedings of the International Joint Conference on Neural Networks, 2019

ENLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models.

Xiao Lin, Gabriel Terejanu

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Geospatial uncertainty modeling using Stacked Gaussian Processes.

Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu

Environ. Model. Softw., 2018

Sub-event Detection on Twitter Network.

Chao Chen, Gabriel Terejanu

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

An Approximate Bayesian Long Short- Term Memory Algorithm for Outlier Detection.

Chao Chen, Xiao Lin, Gabriel Terejanu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016

Analytical Stacked Gaussian Process Model.

Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu

CoRR, 2016

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

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Active data collection for inadequate models.

Gabriel Terejanu

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Approximate Bayesian Computation based on Progressive Correction of Gaussian Components.

Jiting Xu, Gabriel Terejanu

Proceedings of the American Control Conference, 2014

Model-driven data collection for biological systems.

Xiao Lin, Gabriel Terejanu

Proceedings of the American Control Conference, 2014

2013

Data partition methodology for validation of predictive models.

Rebecca E. Morrison, Corey M. Bryant, Gabriel Terejanu, Serge Prudhomme, Kenji Miki

Comput. Math. Appl., 2013

2011

Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation.

Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott

IEEE Trans. Autom. Control., 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

Bayesian experimental design for the active nitridation of graphite by atomic nitrogen

Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki

CoRR, 2011

Application of Predictive Model Selection to Coupled Models

Gabriel Terejanu, Todd Oliver, Chris Simmons

CoRR, 2011

2010

A Decision-Centric Framework for Density Forecasting.

Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott

J. Adv. Inf. Fusion, 2010

Approximate propagation of both epistemic and aleatory uncertainty through dynamic systems.

Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott

Proceedings of the 13th Conference on Information Fusion, 2010

Approximate interval method for epistemic uncertainty propagation using Polynomial Chaos and evidence theory.

Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott

Proceedings of the American Control Conference, 2010

2009

Decision based uncertainty propagation using adaptive Gaussian mixtures.

Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott

Proceedings of the 12th International Conference on Information Fusion, 2009

2008

A novel Gaussian Sum Filter Method for accurate solution to the nonlinear filtering problem.

Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Unscented Kalman Filter/Smoother for a CBRN puff-based dispersion model.

Gabriel Terejanu, Tarunraj Singh, Peter D. Scott

Proceedings of the 10th International Conference on Information Fusion, 2007