| The information content and integration of distributed-temperature-sensing data for near-wellbore-reservoir characterization B Xu, F Forouzanfar SPE Reservoir Evaluation & Engineering 20 (04), 0906-0923, 2017 | 11 | 2017 |
| The pitfalls of using Gaussian Process Regression for normative modeling B Xu, R Kuplicki, S Sen, MP Paulus Plos one 16 (9), e0252108, 2021 | 10 | 2021 |
| Psychiatric symptoms are not associated with circulating CRP concentrations after controlling for medical, social, and demographic factors LK Figueroa-Hall, B Xu, R Kuplicki, BN Ford, K Burrows, TK Teague, ... Translational psychiatry 12 (1), 279, 2022 | 7 | 2022 |
| Predicting Solid Particle Erosion and Uncertainty in Elbows by Artificial Intelligence Methods S Karimi, B Xu, A Asgharpour, SA Shirazi, S Sen Fluids Engineering Division Summer Meeting 83723, V002T04A014, 2020 | 7 | 2020 |
| Utilizing artificial intelligence for determining threshold sand rates from acoustic monitors SS Kolla, B Xu, A Nadeem, Q Luo, SA Shirazi, S Sen SPE Annual Technical Conference and Exhibition?, D041S052R007, 2020 | 5 | 2020 |
| Machine learning analysis of electronic nose in a transdiagnostic community sample with a streamlined data collection approach: No links between volatile organic compounds and … B Xu, M Moradi, R Kuplicki, JL Stewart, B McKinney, S Sen, MP Paulus Frontiers in Psychiatry 11, 503248, 2020 | 5 | 2020 |
| Reservoir rock and fluid characterization using distributed temperature sensing DTS systems data B Xu, F Forouzanfar SPE Europec featured at EAGE Conference and Exhibition?, D021S002R002, 2017 | 5 | 2017 |
| Uncertainty reduction in reservoir geostatistical description using distributed temperature sensing (DTS) systems data B Xu, F Forouzanfar SPE Western Regional Meeting, SPE-180405-MS, 2016 | 4 | 2016 |
| Prediction of Threshold Sand Rates from Acoustic Monitors Using Artificial Intelligence RE Vieira, B Xu, A Nadeem, A Nadeem, SA Shirazi Abu Dhabi International Petroleum Exhibition and Conference, D011S024R002, 2021 | 2 | 2021 |
| Machine Learning Approach to Predict Sand Transport in Horizontal and Inclined Flow RE Vieira, B Xu, S Karimi, SA Shirazi Fluids Engineering Division Summer Meeting 85307, V003T08A021, 2021 | 2 | 2021 |
| An application of the infinite framework in a human-agent negotiation competition B Xu, JA Hale, S Pritchard, S Sen Proceedings of the 8th International Conference on Human-Agent Interaction …, 2020 | 2 | 2020 |
| Motivation and Design of the Conversational Components of DraftAgent for Human-Agent Negotiation D Peasley, M Naguib, B Xu, S Sen, TS Kroecker Proceedings of the 1st International Workshop on Multimodal Conversational …, 2020 | 2 | 2020 |
| Integration of distributed temperature sensing (DTS) data for reservoir characterization B Xu The University of Tulsa, 2016 | 2 | 2016 |
| Prediction of Sand Transport in Horizontal and Inclined Flow Based on Machine Learning Algorithms RE Vieira, B Xu, SA Shirazi PSIG Annual Meeting, PSIG-2109, 2021 | 1 | 2021 |
| Polygenic Risk Score for C-Reactive Protein is Associated With Accelerated Cortical Thinning and Increased Psychopathology in Adolescents: A Population-Based Longitudinal … H Zheng, J Savitz, E Haroon, J Ahern, R Loughnan, B Xu, K Forthman, ... NEUROPSYCHOPHARMACOLOGY 48, 153-154, 2023 | | 2023 |
| A Bayesian Regularized and Anotation-Informed Integrative Analysis of Cognition (BRAINIAC) R Zablocki, B Xu, C Fan, WK Thompson bioRxiv, 2023.07. 24.550424, 2023 | | 2023 |
| Estimating the Total Variance Explained by Whole-Brain Imaging for Zero-inflated Outcomes J Ren, RJ Loughnan, B Xu, WK Thompson, CC Fan bioRxiv, 2023.08. 14.553270, 2023 | | 2023 |
| Design of Conversational Components to Facilitate Human-Agent Negotiation D Peasley, B Xu, S Abuhaimed, S Sen International Conference on Principles and Practice of Multi-Agent Systems …, 2022 | | 2022 |
