| Two-dimensional disordered Mott metal-insulator transition MY Suárez-Villagrán, N Mitsakos, TH Lee, V Dobrosavljević, JH Miller Jr, ... Physical Review B 101 (23), 235112, 2020 | 16 | 2020 |
| Deep learning for 3D seismic compressive-sensing technique: A novel approach P Lu, Y Xiao, Y Zhang, N Mitsakos The Leading Edge 38 (9), 698-705, 2019 | 12 | 2019 |
| Seismic compressive sensing by generative inpainting network: Toward an optimized acquisition survey XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao The Leading Edge 38 (12), 923-933, 2019 | 5 | 2019 |
| Generative Inpainting Network Applications on Seismic Image Compression and Non-Uniform Sampling XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 4 | 2019 |
| Generative Inpainting Network Applications on Seismic Image Compression and Non-Uniform Sampling XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 4 | 2019 |
| Unusually thick metal-insulator domain walls around the Mott point MY Suárez-Villagrán, N Mitsakos, TH Lee, JH Miller Jr, E Miranda, ... Physical Review B 104 (15), 155114, 2021 | 2 | 2021 |
| Real time visibility improvement for underwater video S Upadhyay, N Mitsakos, M Papadakis SNAME Offshore Symposium, D013S006R002, 2018 | 2 | 2018 |
| Using machine learning to understand mutations M Villagran, N Mitsakos, J Miller, R Azevedo Bulletin of the American Physical Society 65, 2020 | 1 | 2020 |
| Virtual Multimodal Automated Object Detection with Deep Neural Networks N Mitsakos, S Upadhyay, M Papadakis SNAME Offshore Symposium, D013S006R003, 2019 | 1 | 2019 |
| Unexpectedly thick metal-insulator domain walls around the Mott point M Villagran, N Mitsakos, TH Lee, E Miranda, J Miller, V Dobrosavljevic APS March Meeting Abstracts 2022, N64. 006, 2022 | | 2022 |
| Local fluctuations in the metal-insulator transition M Villagran, N Mitsakos, TH Lee, V Dobrosavljevic, J Miller, E Miranda Bulletin of the American Physical Society, 2021 | | 2021 |
| Stout metal-insulator domain walls around the Mott point MY Suárez-Villagrán, N Mitsakos, TH Lee, V Dobrosavljević, JH Miller Jr, ... arXiv preprint arXiv:2011.13033, 2020 | | 2020 |
| Quantum phase transitions of strongly correlated metals MYS Villagrán, N Mitsakos, JH Miller Jr Revista de la Escuela de Ingenierías y Tecnologías Unimonserrate, 6-13, 2020 | | 2020 |
| Virtual multi-modal object detection and classification with deep convolutional neural networks N Mitsakos, M Papadakis Wavelets and Sparsity XVIII 11138, 17-37, 2019 | | 2019 |
| Predicting sequence-specific mutation rates in DNA M Villagran, N Mitsakos, R Azevedo, J Miller APS March Meeting Abstracts 2019, H66. 012, 2019 | | 2019 |
| Virtual Multimodal Object Detection and Classification with Deep CNNs N Mitsakos University of Houston, 2018 | | 2018 |
| Fast Illumination Normalization for Face Recognition N Mitsakos, S Upadhyay, M Papadakis | | 2017 |
| SEISMIC COMPRESSIVE SENSING BY GENERATIVE INPAINTING NETWORK AND RECOMMENDATION OF EFFICIENT SEISMIC ACQUIZAITON TOWARD NON-UNIFORM SURVEY XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao | | |
Martha Suárez VillagránUniversity of HoustonVerified email at uh.edu
