Gabriel Terejanu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 24

Top Topics

Gaussian Process

Causal Structure

Top Venues

Publications

Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. CoRR (2024)
Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu
Quantifying Influencer Effects on Affective Polarization. CoRR (2024)
Jawad Chowdhury, Charles Fricke, Olajide Bamidele, Mubarak Bello, Wenqiang Yang, Andreas Heyden, Gabriel Terejanu
Invariant Molecular Representations for Heterogeneous Catalysis. J. Chem. Inf. Model. 64 (2) (2024)
Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu
Machine Fault Classification using Hamiltonian Neural Networks. CoRR (2023)
Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. DSAA (2023)
Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu
Machine Fault Classification Using Hamiltonian Neural Networks. ICPRAM (2023)
Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. CoRR (2023)
Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. ICPRAM (2023)
Jawad Chowdhury, Gabriel Terejanu
CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. ICMLA (2023)
Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
From Causal Pairs to Causal Graphs. ICMLA (2022)
Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
From Causal Pairs to Causal Graphs. CoRR (2022)
Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif J. Chowdhury
Explainable Deep Modeling of Tabular Data using TableGraphNet. CoRR (2020)
Asif J. Chowdhury, Gabriel Terejanu
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. CoRR (2019)
Xiao Lin, Asif J. Chowdhury, Xiaofan Wang, Gabriel Terejanu
Approximate computational approaches for Bayesian sensor placement in high dimensions. Inf. Fusion 46 (2019)
Asif J. Chowdhury, Wenqiang Yang, Kareem E. Abdelfatah, Mehdi Zare, Andreas Heyden, Gabriel Terejanu
A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications. CoRR (2019)
Xiao Lin, Gabriel Terejanu
ENLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models. ICASSP (2019)
Chao Chen, Xiao Lin, Yuan Huang, Gabriel Terejanu
Approximate Bayesian Neural Network Trained with Ensemble Kalman Filter. IJCNN (2019)
Chao Chen, Gabriel Terejanu
Sub-event Detection on Twitter Network. AIAI (2018)
Chao Chen, Xiao Lin, Gabriel Terejanu
An Approximate Bayesian Long Short- Term Memory Algorithm for Outlier Detection. ICPR (2018)
Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu
Geospatial uncertainty modeling using Stacked Gaussian Processes. Environ. Model. Softw. 109 (2018)
Xiao Lin, Asif J. Chowdhury, Xiaofan Wang, Gabriel Terejanu
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions. CoRR (2017)
Chao Chen, Xiao Lin, Gabriel Terejanu
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection. CoRR (2017)
Xiao Lin, Gabriel Terejanu
EnLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models. CoRR (2017)
Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu
Analytical Stacked Gaussian Process Model. CoRR (2016)
Gabriel Terejanu
Active data collection for inadequate models. FUSION (2015)
Hui Li, Asif J. Chowdhury, Gabriel Terejanu, Anindya Chanda, Sourav Banerjee
A stacked gaussian process for predicting geographical incidence of aflatoxin with quantified uncertainties. SIGSPATIAL/GIS (2015)
Xiao Lin, Gabriel Terejanu
Model-driven data collection for biological systems. ACC (2014)
Jiting Xu, Gabriel Terejanu
Approximate Bayesian Computation based on Progressive Correction of Gaussian Components. ACC (2014)
Rebecca E. Morrison, Corey M. Bryant, Gabriel Terejanu, Serge Prudhomme, Kenji Miki
Data partition methodology for validation of predictive models. Comput. Math. Appl. 66 (10) (2013)
Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki
Bayesian experimental design for the active nitridation of graphite by atomic nitrogen CoRR (2011)
Gabriel Terejanu, Yang Cheng, Tarunraj Singh, Peter D. Scott
Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data CoRR (2011)
Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation. IEEE Trans. Autom. Control. 56 (9) (2011)
Gabriel Terejanu, Todd Oliver, Chris Simmons
Application of Predictive Model Selection to Coupled Models CoRR (2011)
Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
A Decision-Centric Framework for Density Forecasting. J. Adv. Inf. Fusion 5 (2) (2010)
Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
Approximate interval method for epistemic uncertainty propagation using Polynomial Chaos and evidence theory. ACC (2010)
Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
Approximate propagation of both epistemic and aleatory uncertainty through dynamic systems. FUSION (2010)
Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
Decision based uncertainty propagation using adaptive Gaussian mixtures. FUSION (2009)
Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
A novel Gaussian Sum Filter Method for accurate solution to the nonlinear filtering problem. FUSION (2008)
Gabriel Terejanu, Tarunraj Singh, Peter D. Scott
Unscented Kalman Filter/Smoother for a CBRN puff-based dispersion model. FUSION (2007)