Gabriel Terejanu

47 papers B 3C 14Misc 2Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Measuring Social Media Polarization Using Large Language Models and Heuristic Rules. CoRR Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
2025	C	`conf`	CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization. ICPRAM Jawad Chowdhury, Gabriel Terejanu
2025	—	`conf`	From Observations to Causations: A GNN-Based Probabilistic Prediction Framework for Causal Discovery. IC3K (KDIR) Rezaur Rashid, Gabriel Terejanu
2025	J	`jnl`	From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery. CoRR Rezaur Rashid, Gabriel Terejanu
2025	—	`conf`	Measuring Social Media Polarization Using Large Language Models and Heuristic Rules. ASONAM (3) Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
2024	J	`jnl`	CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization. CoRR Jawad Chowdhury, Gabriel Terejanu
2024	J	`jnl`	Invariant Molecular Representations for Heterogeneous Catalysis. J. Chem. Inf. Model. Jawad Chowdhury, Charles Fricke, Olajide Bamidele, Mubarak Bello, Wenqiang Yang, Andreas Heyden, Gabriel Terejanu
2024	J	`jnl`	Quantifying Influencer Effects on Affective Polarization. CoRR Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu
2024	C	`conf`	Quantifying Influencer Impact on Affective Polarization. ICMLA Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu
2024	—	`conf`	Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. ASONAM (3) Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan
2024	J	`jnl`	Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. CoRR Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan
2023	C	`conf`	CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. ICMLA Jawad Chowdhury, Gabriel Terejanu
2023	B	`conf`	Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. DSAA Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
2023	C	`conf`	Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. ICPRAM Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
2023	J	`jnl`	Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. CoRR Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
2023	C	`conf`	Machine Fault Classification Using Hamiltonian Neural Networks. ICPRAM Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu
2023	J	`jnl`	Machine Fault Classification using Hamiltonian Neural Networks. CoRR Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu
2022	C	`conf`	From Causal Pairs to Causal Graphs. ICMLA Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
2022	J	`jnl`	From Causal Pairs to Causal Graphs. CoRR Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
2020	J	`jnl`	Explainable Deep Modeling of Tabular Data using TableGraphNet. CoRR Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif J. Chowdhury
2019	J	`jnl`	A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications. CoRR Asif J. Chowdhury, Wenqiang Yang, Kareem E. Abdelfatah, Mehdi Zare, Andreas Heyden, Gabriel Terejanu
2019	B	`conf`	Approximate Bayesian Neural Network Trained with Ensemble Kalman Filter. IJCNN Chao Chen, Xiao Lin, Yuan Huang, Gabriel Terejanu
2019	J	`jnl`	Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. CoRR Asif J. Chowdhury, Gabriel Terejanu
2019	J	`jnl`	Approximate computational approaches for Bayesian sensor placement in high dimensions. Inf. Fusion Xiao Lin, Asif J. Chowdhury, Xiaofan Wang, Gabriel Terejanu
2019	Misc	`conf`	ENLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models. ICASSP Xiao Lin, Gabriel Terejanu
2018	B	`conf`	An Approximate Bayesian Long Short- Term Memory Algorithm for Outlier Detection. ICPR Chao Chen, Xiao Lin, Gabriel Terejanu
2018	J	`jnl`	Geospatial uncertainty modeling using Stacked Gaussian Processes. Environ. Model. Softw. Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu
2018	Misc	`conf`	Sub-event Detection on Twitter Network. AIAI Chao Chen, Gabriel Terejanu
2017	J	`jnl`	An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection. CoRR Chao Chen, Xiao Lin, Gabriel Terejanu
2017	J	`jnl`	Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions. CoRR Xiao Lin, Asif J. Chowdhury, Xiaofan Wang, Gabriel Terejanu
2017	J	`jnl`	EnLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models. CoRR Xiao Lin, Gabriel Terejanu
2016	J	`jnl`	Analytical Stacked Gaussian Process Model. CoRR Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu
2015	—	`conf`	A stacked gaussian process for predicting geographical incidence of aflatoxin with quantified uncertainties. SIGSPATIAL/GIS Hui Li, Asif J. Chowdhury, Gabriel Terejanu, Anindya Chanda, Sourav Banerjee
2015	C	`conf`	Active data collection for inadequate models. FUSION Gabriel Terejanu
2014	C	`conf`	Approximate Bayesian Computation based on Progressive Correction of Gaussian Components. ACC Jiting Xu, Gabriel Terejanu
2014	C	`conf`	Model-driven data collection for biological systems. ACC Xiao Lin, Gabriel Terejanu
2013	J	`jnl`	Data partition methodology for validation of predictive models. Comput. Math. Appl. Rebecca E. Morrison, Corey M. Bryant, Gabriel Terejanu, Serge Prudhomme, Kenji Miki
2011	J	`jnl`	Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation. IEEE Trans. Autom. Control. Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
2011	J	`jnl`	Application of Predictive Model Selection to Coupled Models CoRR Gabriel Terejanu, Todd Oliver, Chris Simmons
2011	J	`jnl`	Bayesian experimental design for the active nitridation of graphite by atomic nitrogen CoRR Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki
2011	J	`jnl`	Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data CoRR Gabriel Terejanu, Yang Cheng, Tarunraj Singh, Peter D. Scott
2010	J	`jnl`	A Decision-Centric Framework for Density Forecasting. J. Adv. Inf. Fusion Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
2010	C	`conf`	Approximate interval method for epistemic uncertainty propagation using Polynomial Chaos and evidence theory. ACC Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
2010	C	`conf`	Approximate propagation of both epistemic and aleatory uncertainty through dynamic systems. FUSION Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
2009	C	`conf`	Decision based uncertainty propagation using adaptive Gaussian mixtures. FUSION Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
2008	C	`conf`	A novel Gaussian Sum Filter Method for accurate solution to the nonlinear filtering problem. FUSION Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
2007	C	`conf`	Unscented Kalman Filter/Smoother for a CBRN puff-based dispersion model. FUSION Gabriel Terejanu, Tarunraj Singh, Peter D. Scott