| Compressive light field sensing SD Babacan, R Ansorge, M Luessi, PR Matarán, R Molina, ... IEEE Transactions on image processing 21 (12), 4746-4757, 2012 | 110 | 2012 |
| Variational Bayesian blind image deconvolution: A review P Ruiz, X Zhou, J Mateos, R Molina, AK Katsaggelos Digital Signal Processing 47, 116-127, 2015 | 74 | 2015 |
| Bayesian active remote sensing image classification P Ruiz, J Mateos, G Camps-Valls, R Molina, AK Katsaggelos IEEE Transactions on Geoscience and Remote Sensing 52 (4), 2186-2196, 2013 | 58 | 2013 |
| Classifying the unknown: discovering novel gravitational-wave detector glitches using similarity learning S Coughlin, S Bahaadini, N Rohani, M Zevin, O Patane, M Harandi, ... Physical Review D 99 (8), 082002, 2019 | 36 | 2019 |
| Learning from crowds with variational Gaussian processes P Ruiz, P Morales-Álvarez, R Molina, AK Katsaggelos Pattern Recognition 88, 298-311, 2019 | 31 | 2019 |
| Computational multifocal microscopy K He, Z Wang, X Huang, X Wang, S Yoo, P Ruiz, I Gdor, A Selewa, ... Biomedical optics express 9 (12), 6477-6496, 2018 | 17 | 2018 |
| Scalable and efficient learning from crowds with Gaussian processes P Morales-Álvarez, P Ruiz, R Santos-Rodríguez, R Molina, ... Information Fusion 52, 110-127, 2019 | 14 | 2019 |
| Physics-informed attention-based neural network for solving non-linear partial differential equations R Rodriguez-Torrado, P Ruiz, L Cueto-Felgueroso, MC Green, T Friesen, ... arXiv preprint arXiv:2105.07898, 2021 | 13 | 2021 |
| Physics-informed attention-based neural network for hyperbolic partial differential equations: Application to the Buckley–Leverett problem R Rodriguez-Torrado, P Ruiz, L Cueto-Felgueroso, MC Green, T Friesen, ... Scientific reports 12 (1), 7557, 2022 | 12 | 2022 |
| Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands S López-Tapia, P Ruiz, M Smith, J Matthews, B Zercher, L Sydorenko, ... International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 12 | 2021 |
| Scalable variational Gaussian processes for crowdsourcing: Glitch detection in LIGO P Morales-Alvarez, P Ruiz, S Coughlin, R Molina, AK Katsaggelos IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1534-1551, 2020 | 10 | 2020 |
| Learning from crowds in digital pathology using scalable variational Gaussian processes M López-Pérez, M Amgad, P Morales-Álvarez, P Ruiz, LAD Cooper, ... Scientific reports 11 (1), 11612, 2021 | 9 | 2021 |
| 3D image reconstruction from multi-focus microscope: axial super-resolution and multiple-frame processing S Yoo, P Ruiz, X Huang, K He, NJ Ferrier, M Hereld, A Selewa, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 9 | 2018 |
| Combining Poisson singular integral and total variation prior models in image restoration P Ruiz, H Madero-Orozco, J Mateos, OO Vergara-Villegas, R Molina, ... Signal processing 103, 296-308, 2014 | 6 | 2014 |
| Multi-frame Super-resolution for Time-of-flight Imaging F Li, P Ruiz, O Cossairt, AK Katsaggelos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 5 | 2019 |
| Design and simulation of a snapshot multi-focal interferometric microscope K He, X Huang, X Wang, S Yoo, P Ruiz, I Gdor, NJ Ferrier, N Scherer, ... Optics Express 26 (21), 27381-27402, 2018 | 5 | 2018 |
| Variational gaussian process for sensor fusion N Rohani, P Ruiz, E Besler, R Molina, AK Katsaggelos 2015 23rd European Signal Processing Conference (EUSIPCO), 170-174, 2015 | 5 | 2015 |
| Video retrieval using sparse Bayesian reconstruction P Ruiz, SD Babacan, L Gao, Z Li, R Molina, AK Katsaggelos 2011 IEEE international conference on multimedia and expo, 1-6, 2011 | 5 | 2011 |
| Bayesian logistic regression with sparse general representation prior for multispectral image classification JG Serra, P Ruiz, R Molina, AK Katsaggelos 2016 IEEE International Conference on Image Processing (ICIP), 1893-1897, 2016 | 4 | 2016 |
| Variational Gaussian process for missing label crowdsourcing classification problems P Ruiz, E Besler, R Molina, AK Katsaggelos 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 4 | 2016 |
Aggelos K KatsaggelosJoseph Cummings Professor of ECE (Courtesy CS and Radiology), Northwestern UniversityVerified email at eecs.northwestern.edu
