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ORCIDGabriel Terejanu
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2020 – today
- 2024
[j6]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): 327-339 (2024)- [i15]Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan:
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. CoRR abs/2404.10228 (2024) - [i14]Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu:
Quantifying Influencer Effects on Affective Polarization. CoRR abs/2405.15893 (2024) - 2023
- [c18]Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. DSAA 2023: 1-9 - [c17]Jawad Chowdhury, Gabriel Terejanu:
CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. ICMLA 2023: 808-813 - [c16]Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu:
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. ICPRAM 2023: 136-146 - [c15]Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu:
Machine Fault Classification Using Hamiltonian Neural Networks. ICPRAM 2023: 474-480 - [i13]Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu:
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. CoRR abs/2301.01817 (2023) - [i12]Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu:
Machine Fault Classification using Hamiltonian Neural Networks. CoRR abs/2301.02243 (2023) - 2022
- [c14]Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
From Causal Pairs to Causal Graphs. ICMLA 2022: 802-807 - [i11]Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
From Causal Pairs to Causal Graphs. CoRR abs/2211.04312 (2022) - 2020
- [i10]Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif J. Chowdhury:
Explainable Deep Modeling of Tabular Data using TableGraphNet. CoRR abs/2002.05205 (2020)
2010 – 2019
- 2019
- [j5]Xiao Lin, Asif J. Chowdhury, Xiaofan Wang, Gabriel Terejanu:
Approximate computational approaches for Bayesian sensor placement in high dimensions. Inf. Fusion 46: 193-205 (2019) - [c13]Xiao Lin, Gabriel Terejanu:
ENLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models. ICASSP 2019: 5222-5226 - [c12]Chao Chen, Xiao Lin, Yuan Huang, Gabriel Terejanu:
Approximate Bayesian Neural Network Trained with Ensemble Kalman Filter. IJCNN 2019: 1-8 - [i9]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 abs/1910.00623 (2019) - [i8]Asif J. Chowdhury, Gabriel Terejanu:
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. CoRR abs/1910.09347 (2019) - 2018
- [j4]Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu:
Geospatial uncertainty modeling using Stacked Gaussian Processes. Environ. Model. Softw. 109: 293-305 (2018) - [c11]Chao Chen, Xiao Lin, Gabriel Terejanu:
An Approximate Bayesian Long Short- Term Memory Algorithm for Outlier Detection. ICPR 2018: 201-206 - [c10]Chao Chen, Gabriel Terejanu:
Sub-event Detection on Twitter Network. AIAI 2018: 50-60 - 2017
- [i7]Xiao Lin, Asif J. Chowdhury, Xiaofan Wang, Gabriel Terejanu:
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions. CoRR abs/1703.00368 (2017) - [i6]Xiao Lin, Gabriel Terejanu:
EnLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models. CoRR abs/1708.02340 (2017) - [i5]Chao Chen, Xiao Lin, Gabriel Terejanu:
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection. CoRR abs/1712.08773 (2017) - 2016
- [i4]Kareem E. Abdelfatah, Junshu Bao, Gabriel Terejanu:
Analytical Stacked Gaussian Process Model. CoRR abs/1612.02897 (2016) - 2015
- [c9]Gabriel Terejanu:
Active data collection for inadequate models. FUSION 2015: 421-427 - [c8]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: 59:1-59:4 - 2014
- [c7]Jiting Xu, Gabriel Terejanu:
Approximate Bayesian Computation based on Progressive Correction of Gaussian Components. ACC 2014: 2023-2028 - [c6]Xiao Lin, Gabriel Terejanu:
Model-driven data collection for biological systems. ACC 2014: 2524-2529 - 2013
- [j3]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): 2114-2125 (2013) - 2011
- [j2]Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott:
Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation. IEEE Trans. Autom. Control. 56(9): 2151-2156 (2011) - [i3]Gabriel Terejanu, Todd Oliver, Chris Simmons:
Application of Predictive Model Selection to Coupled Models. CoRR abs/1107.0927 (2011) - [i2]Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki:
Bayesian experimental design for the active nitridation of graphite by atomic nitrogen. CoRR abs/1107.1445 (2011) - [i1]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 abs/1107.1545 (2011) - 2010
- [j1]Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott:
A Decision-Centric Framework for Density Forecasting. J. Adv. Inf. Fusion 5(2): 73-87 (2010) - [c5]Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott:
Approximate interval method for epistemic uncertainty propagation using Polynomial Chaos and evidence theory. ACC 2010: 349-354 - [c4]Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott:
Approximate propagation of both epistemic and aleatory uncertainty through dynamic systems. FUSION 2010: 1-8
2000 – 2009
- 2009
- [c3]Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott:
Decision based uncertainty propagation using adaptive Gaussian mixtures. FUSION 2009: 702-709 - 2008
- [c2]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: 1-8 - 2007
- [c1]Gabriel Terejanu, Tarunraj Singh, Peter D. Scott:
Unscented Kalman Filter/Smoother for a CBRN puff-based dispersion model. FUSION 2007: 1-8
Coauthor Index
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last updated on 2024-06-19 21:04 CEST by the dblp team
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