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ORCIDMichael J. Pyrcz
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2020 – today
- 2024
[j9]Fehmi Özbayrak
, John T. Foster, Michael J. Pyrcz:
Spatial bagging to integrate spatial correlation into ensemble machine learning. Comput. Geosci. 186: 105558 (2024)- [i12]Ademide O. Mabadeje, Michael J. Pyrcz:
Evaluating the Stability of Deep Learning Latent Feature Spaces. CoRR abs/2402.11404 (2024) - 2023
- [j8]Michal P. Michalak, Pawel Marzec, Filip Turobos, Paulina Leonowicz, Leslaw Teper, Pawel Gladki, Michael J. Pyrcz, Mariusz Szubert:
A new methodology using borehole data to measure angular distances between geological interfaces. Earth Sci. Informatics 16(3): 2845-2863 (2023) - [j7]Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz:
Mitigation of spatial nonstationarity with vision transformers. Comput. Geosci. 178: 105412 (2023) - [j6]Jose Julian Salazar, Eduardo Maldonado-Cruz, Jesus Ochoa, Michael J. Pyrcz:
Self-Supervised Learning for Seismic Data: Enhancing Model Interpretability With Seismic Attributes. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [i11]Ademide O. Mabadeje, Michael J. Pyrcz:
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation. CoRR abs/2308.08079 (2023) - 2022
- [j5]Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc Andre Hesse, Michael J. Pyrcz, Masa Prodanovic:
MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX 18: 101097 (2022) - [i10]Jesse R. Pisel, Joshua A. Dierker, Sanya Srivastava, Samira B. Ravilisetty, Michael J. Pyrcz:
A recommender system for automatic picking of subsurface formation tops. CoRR abs/2202.08869 (2022) - [i9]Wendi Liu, Michael J. Pyrcz:
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting. CoRR abs/2209.11885 (2022) - [i8]Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz:
Mitigation of Spatial Nonstationarity with Vision Transformers. CoRR abs/2212.04633 (2022) - 2021
- [i7]Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers:
Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. CoRR abs/2102.07625 (2021) - [i6]Aidan Petratos, Allen Ting, Shankar Padmanabhan, Kristina Zhou, Dylan Hageman, Jesse R. Pisel, Michael J. Pyrcz:
Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning. CoRR abs/2108.07772 (2021) - [i5]Nicholas Khami, Omar Imtiaz, Akif Abidi, Akash Aedavelli, Alan Goff, Jesse R. Pisel, Michael J. Pyrcz:
Automatic Feature Highlighting in Noisy RES Data With CycleGAN. CoRR abs/2108.11283 (2021) - [i4]Badr Belhiti, Justin Milushev, Avinash Gupta, John Breedis, Johnson Dinh, Jesse R. Pisel, Michael J. Pyrcz:
StackGAN: Facial Image Generation Optimizations. CoRR abs/2108.13290 (2021) - [i3]Harsh Kumar, Geneva Allison, Jehil Mehta, Jesse R. Pisel, Michael J. Pyrcz:
Optimizing Oil and Gas Acquisitions Using Recommender Systems. CoRR abs/2110.03748 (2021) - [i2]Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Hewei Tang, Pengcheng Fu:
Machine learning-based porosity estimation from spectral decomposed seismic data. CoRR abs/2111.13581 (2021) - 2020
- [i1]Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan:
Modeling nanoconfinement effects using active learning. CoRR abs/2005.02587 (2020)
2010 – 2019
- 2019
- [j4]Han Jiang, Hugh Daigle, Xiao Tian, Michael J. Pyrcz, Chris Griffith, Boyang Zhang:
A comparison of clustering algorithms applied to fluid characterization using NMR T1-T2 maps of shale. Comput. Geosci. 126: 52-61 (2019) - 2018
- [j3]Yimin C. Wang, Michael J. Pyrcz, Octavian Catuneanu, Jeff B. Boisvert:
Conditioning 3D object-based models to dense well data. Comput. Geosci. 115: 1-11 (2018)
2000 – 2009
- 2009
- [j2]Michael J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch:
ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems. Comput. Geosci. 35(8): 1671-1685 (2009) - 2008
- [j1]Michael J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch:
A library of training images for fluvial and deepwater reservoirs and associated code. Comput. Geosci. 34(5): 542-560 (2008)
Coauthor Index
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