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James D Cunningham
James D Cunningham
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
3d design using generative adversarial networks and physics-based validation
D Shu, J Cunningham, G Stump, SW Miller, MA Yukish, TW Simpson, ...
Journal of Mechanical Design 142 (7), 071701, 2020
1032020
An investigation of surrogate models for efficient performance-based decoding of 3D point clouds
JD Cunningham, TW Simpson, CS Tucker
Journal of Mechanical Design 141 (12), 121401, 2019
272019
Deep reinforcement learning for procedural content generation of 3d virtual environments
CE López, J Cunningham, O Ashour, CS Tucker
Journal of Computing and Information Science in Engineering 20 (5), 051005, 2020
222020
A physics-based virtual environment for enhancing the quality of deep generative designs
M Dering, J Cunningham, R Desai, MA Yukish, TW Simpson, CS Tucker
International Design Engineering Technical Conferences and Computers and …, 2018
152018
Transcranial enhanced ultrasound imaging of induced substantia nigra in brain using adaptive third order volterra filter: In-vivo results
J Cunningham, J Lee, T Subramanian, M Almekkawy
2017 IEEE 14th International symposium on biomedical imaging (ISBI 2017 …, 2017
132017
A sparsity preserving genetic algorithm for extracting diverse functional 3D designs from deep generative neural networks
JD Cunningham, D Shu, TW Simpson, CS Tucker
Design Science 6, e11, 2020
92020
Multi-context generation in virtual reality environments using deep reinforcement learning
J Cunningham, C Lopez, O Ashour, CS Tucker
International Design Engineering Technical Conferences and Computers and …, 2020
72020
Regularization methods for solving third-order volterra filter with improved convergence speed: In-vivo application
J Cunningham, Y Zheng, T Subramanian, M Almekkawy
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
72018
In-vivo transcranial ultrasound imaging of induced substantia nigra hyperechogenicity using adaptive sparse third order volterra filter
M Almekkawy, J Cunningham, Y Song, H Albahar, T Subramanian
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 367-370, 2017
62017
A deep learning game theoretic model for defending against large scale smart grid attacks
JD Cunningham, A Aved, D Ferris, P Morrone, CS Tucker
IEEE Transactions on Smart Grid 14 (2), 1188-1197, 2022
42022
The CLICK Approach and its Impact on Learning Introductory Probability Concepts in an Industrial Engineering Course
C Lopez, O Ashour, J Cunningham, C Tucker, P Lynch
ASEE Annual Conference proceedings, 2020
42020
Adaptive ℓ0-norm sparse third order volterra filter for transcranial ultrasound image enhancement: In-vivo results
J Cunningham, T Subramanian, M Almekkawy
2017 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-5, 2017
42017
A Validation Neural Network (VNN) metamodel for predicting the performance of deep generative designs
J Cunningham, CS Tucker
International Design Engineering Technical Conferences and Computers and …, 2018
32018
Improved Real-Time Capability for Nonlinear Seperable Harmonic Filtering of Ultrasound Images Using a Damped Regularization Method With In-Vivo Results
J Cunningham, Y Zheng, T Subramanian, M Almekkawy
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
32018
Local Nets for Micros
D Ferris, J Cunningham
Datamation 30 (12), 104-108, 1984
31984
A Study on the Effectiveness of the CLICK Approach in an Operations Research Course
C Lopez, O Ashour, J Cunningham, C Tucker
ASEE annual conference, 2021
22021
Mitigating Cascading Effects in Large Adversarial Graph Environments
JD Cunningham, CS Tucker
arXiv preprint arXiv:2404.14418, 2024
2024
Parameter Extraction From Images Using Multilabel Supervised Learning
J Ezemba, JD Cunningham, CS Tucker
International Design Engineering Technical Conferences and Computers and …, 2023
2023
Connected Learning and Integrated Course Knowledge (CLICK) Approach
O Ashour, J Cunningham, C Tucker
ASEE annual conference, 2021
2021
Ultrasound Medical Image Processing with Improved Segmentation of Substantia Nigra Hyperechogenicity using Deep Neural Networks
J Cunningham
2021
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