| Screening Subclinical Keratoconus With Placido-Based Corneal Indices D Ramos-López, A Martínez-Finkelshtein, GM Castro-Luna, ... Optometry & Vision Science 90 (4), 335-343, 2013 | 39 | 2013 |
| The Role of Cultural Landscapes in the Delivery of Provisioning Ecosystem Services in Protected Areas AD Maldonado, D Ramos-López, PA Aguilera Sustainability 11 (9), 2471, 2019 | 33 | 2019 |
| Adaptive cornea modeling from keratometric data A Martínez-Finkelshtein, DR López, GM Castro, JL Alió Investigative ophthalmology & visual science 52 (8), 4963-4970, 2011 | 33 | 2011 |
| Placido-based indices of corneal irregularity D Ramos-López, A Martínez-Finkelshtein, GM Castro-Luna, D Piñero, ... Optometry and Vision Science 88 (10), 1220-1231, 2011 | 30 | 2011 |
| Bayesian models of data streams with hierarchical power priors A Masegosa, TD Nielsen, H Langseth, D Ramos-López, A Salmerón, ... Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 26 | 2017 |
| Computational aspects of the through-focus characteristics of the human eye D Ramos-López, A Martínez-Finkelshtein, DR Iskander JOSA A 31 (7), 1408-1415, 2014 | 26 | 2014 |
| Artiflex foldable lens for myopia correction results of 10 years of follow-up G Castro de Luna, D Ramos-López, AB Castaño Fernández, ... Eye 33 (10), 1564-1569, 2019 | 25 | 2019 |
| Robust keratoconus detection with Bayesian network classifier for Placido-based corneal indices GM Castro-Luna, A Martínez-Finkelshtein, D Ramos-López Contact Lens and Anterior Eye 43 (4), 366-372, 2020 | 23 | 2020 |
| AMIDST: A Java toolbox for scalable probabilistic machine learning AR Masegosa, AM Martínez, D Ramos-López, R Cabañas, A Salmerón, ... Knowledge-Based Systems 163, 595-597, 2019 | 23 | 2019 |
| Optimal sampling patterns for Zernike polynomials D Ramos-López, MA Sánchez-Granero, M Fernández-Martínez, ... Applied Mathematics and Computation 274, 247-257, 2016 | 21 | 2016 |
| Analyzing concept drift: A case study in the financial sector AR Masegosa, AM Martínez, D Ramos-López, H Langseth, TD Nielsen, ... Intelligent Data Analysis 24 (3), 665-688, 2020 | 20 | 2020 |
| Modeling carbon dioxide for show cave conservation E Guirado, D Ramos-López, AD Maldonado, JJ Moreno-Balcázar, ... Journal for Nature Conservation 49, 76-84, 2019 | 19 | 2019 |
| Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks D Ramos-López, AR Masegosa, A Salmerón, R Rumí, H Langseth, ... International Journal of Approximate Reasoning 100, 115-134, 2018 | 18 | 2018 |
| Scaling up Bayesian variational inference using distributed computing clusters AR Masegosa, AM Martinez, H Langseth, TD Nielsen, A Salmerón, ... International Journal of Approximate Reasoning 88, 435-451, 2017 | 17 | 2017 |
| Variational Inference over Nonstationary Data Streams for Exponential Family Models AR Masegosa, D Ramos-López, A Salmerón, H Langseth, TD Nielsen Mathematics 8 (11), 1942, 2020 | 14 | 2020 |
| d-VMP: Distributed Variational Message Passing AR Masegosa, AM Martínez, H Langseth, TD Nielsen, A Salmerón, ... Proceedings of the Eighth International Conference on Probabilistic …, 2016 | 14 | 2016 |
| Parallel importance sampling in conditional linear Gaussian networks A Salmerón, D Ramos-López, H Borchani, AM Martínez, AR Masegosa, ... Advances in Artificial Intelligence, 36-46, 2015 | 10 | 2015 |
| MAP inference in dynamic hybrid Bayesian networks D Ramos-López, AR Masegosa, AM Martínez, A Salmerón, TD Nielsen, ... Progress in Artificial Intelligence 6 (2), 133-144, 2017 | 9 | 2017 |
| Financial data analysis with PGMs using AMIDST R Cabañas, AM Martínez, AR Masegosa, D Ramos-López, A Samerón, ... 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 9 | 2016 |
| A Comparison of Machine-Learning Methods to Select Socioeconomic Indicators in Cultural Landscapes A Maldonado, D Ramos-López, P Aguilera Sustainability 10 (11), 4312, 2018 | 8 | 2018 |
Thomas Dyhre NielsenAalborg UniversityVerified email at cs.aau.dk
