Michael J. Pyrcz

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Electric Vehicle Charging

Spatial Correlation

Machine Learning

Top Venues

Comput. Geosci.

IEEE Trans. Geosci. Remote. Sens.

Publications

Ademide O. Mabadeje, Michael J. Pyrcz
Evaluating the Stability of Deep Learning Latent Feature Spaces. CoRR (2024)
Fehmi Özbayrak, John T. Foster, Michael J. Pyrcz
Spatial bagging to integrate spatial correlation into ensemble machine learning. Comput. Geosci. 186 (2024)
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) (2023)
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 (2023)
Ademide O. Mabadeje, Michael J. Pyrcz
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation. CoRR (2023)
Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
Mitigation of spatial nonstationarity with vision transformers. Comput. Geosci. 178 (2023)
Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc A. Hesse, Michael J. Pyrcz, Masa Prodanovic
MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX 18 (2022)
Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
Mitigation of Spatial Nonstationarity with Vision Transformers. CoRR (2022)
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 (2022)
Wendi Liu, Michael J. Pyrcz
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting. CoRR (2022)
Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Hewei Tang, Pengcheng Fu
Machine learning-based porosity estimation from spectral decomposed seismic data. CoRR (2021)
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 (2021)
Badr Belhiti, Justin Milushev, Avinash Gupta, John Breedis, Johnson Dinh, Jesse R. Pisel, Michael J. Pyrcz
StackGAN: Facial Image Generation Optimizations. CoRR (2021)
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 (2021)
Harsh Kumar, Geneva Allison, Jehil Mehta, Jesse R. Pisel, Michael J. Pyrcz
Optimizing Oil and Gas Acquisitions Using Recommender Systems. CoRR (2021)
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 (2021)
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 (2020)
Han Jiang, Hugh Daigle, Xiao Tian, Michael J. Pyrcz, Chris Griffith, Boyang Zhang
maps of shale. Comput. Geosci. 126 (2019)
Yimin C. Wang, Michael J. Pyrcz, Octavian Catuneanu, Jeff B. Boisvert
Conditioning 3D object-based models to dense well data. Comput. Geosci. 115 (2018)
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) (2009)
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) (2008)