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Choubineh, Abouzar, Chen, Jie, Coenen, Frans ORCID: 0000-0003-1026-6649 and Ma, Fei ORCID: 0000-0001-6099-480X (2023) Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data. ELECTRONICS, 12 (6). p. 1453.

Choubineh, Abouzar, Chen, Jie, Wood, David A, Coenen, Frans ORCID: 0000-0003-1026-6649 and Ma, Fei ORCID: 0000-0001-6099-480X (2023) Deep ensemble learning for high-dimensional subsurface fluid flow modeling. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 126. p. 106968.

Choubineh, Abouzar, Chen, Jie, Wood, David A, Coenen, Frans ORCID: 0000-0003-1026-6649 and Ma, Fei ORCID: 0000-0001-6099-480X (2023) Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. ALGORITHMS, 16 (1). p. 24.

Choubineh, Abouzar (2023) Machine Learning-based Generalized Multiscale Finite Element Method and its Application in Reservoir Simulation. PhD thesis, University of Liverpool.

Choubineh, Abouzar, Chen, Jie, Coenen, Frans ORCID: 0000-0003-1026-6649 and Ma, Fei ORCID: 0000-0001-6099-480X (2023) A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 23 (1).

Choubineh, Abouzar, Chen, Jie, Coenen, Frans ORCID: 0000-0003-1026-6649 and Ma, Fei ORCID: 0000-0001-6099-480X (2022) An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM. Journal of Petroleum Science and Engineering, 216. p. 110751.

Choubineh, Abouzar, Chen, Jie ORCID: 0000-0003-1036-007X, Coenen, Frans ORCID: 0000-0003-1026-6649 and Ma, Fei ORCID: 0000-0001-6099-480X (2022) An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM. Journal of Petroleum Science and Engineering, 216. 110751 - 110751.