| Handbook of research on machine learning applications and trends: Algorithms, methods and techniques-2 volumes ES Olivas, JDM Guerrero, MM Sober, JRM Benedito, AJS Lopez Information Science Reference-Imprint of: IGI Publishing, 2009 | 419* | 2009 |
| Making machine learning models interpretable. A Vellido, JD Martín-Guerrero, PJG Lisboa ESANN 12, 163-172, 2012 | 384 | 2012 |
| Robust support vector method for hyperspectral data classification and knowledge discovery G Camps-Valls, L Gómez-Chova, J Calpe-Maravilla, JD Martín-Guerrero, ... IEEE Transactions on Geoscience and Remote sensing 42 (7), 1530-1542, 2004 | 364 | 2004 |
| Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study C Fernández-de-Las-Peñas, JD Martín-Guerrero, ÓJ Pellicer-Valero, ... Journal of Clinical Medicine 11 (2), 413, 2022 | 238 | 2022 |
| Regularized extreme learning machine for regression problems JM MartíNez-MartíNez, P Escandell-Montero, E Soria-Olivas, ... Neurocomputing 74 (17), 3716-3721, 2011 | 217 | 2011 |
| A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time F Martínez-Martínez, MJ Rupérez-Moreno, M Martínez-Sober, ... Computers in biology and medicine 90, 116-124, 2017 | 122 | 2017 |
| Single trajectory characterization via machine learning G Muñoz-Gil, MA Garcia-March, C Manzo, JD Martín-Guerrero, ... New Journal of Physics 22 (1), 013010, 2020 | 113 | 2020 |
| Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques J Gómez-Sanchis, JD Martín-Guerrero, E Soria-Olivas, M Martínez-Sober, ... Expert Systems with Applications 39 (1), 780-785, 2012 | 112 | 2012 |
| Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration J Gomez-Sanchis, JD Martín-Guerrero, E Soria-Olivas, J Vila-Francés, ... Atmospheric Environment 40 (32), 6173-6180, 2006 | 97 | 2006 |
| Support vector machines for crop classification using hyperspectral data G Camps-Valls, L Gómez-Chova, J Calpe-Maravilla, E Soria-Olivas, ... Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA …, 2003 | 97 | 2003 |
| Optimization of anemia treatment in hemodialysis patients via reinforcement learning P Escandell-Montero, M Chermisi, JM Martinez-Martinez, ... Artificial intelligence in medicine 62 (1), 47-60, 2014 | 95 | 2014 |
| Artificial neural networks for predicting dorsal pressures on the foot surface while walking MJ Rupérez, JD Martín-Guerrero, C Monserrat, M Alcañiz Expert Systems with Applications 39 (5), 5349-5357, 2012 | 85 | 2012 |
| A new machine learning approach for predicting the response to anemia treatment in a large cohort of end stage renal disease patients undergoing dialysis C Barbieri, F Mari, A Stopper, E Gatti, P Escandell-Montero, ... Computers in biology and medicine 61, 56-61, 2015 | 82 | 2015 |
| Toward pricing financial derivatives with an IBM quantum computer A Martin, B Candelas, Á Rodríguez-Rozas, JD Martín-Guerrero, X Chen, ... Physical Review Research 3 (1), 013167, 2021 | 81 | 2021 |
| Quantum autoencoders via quantum adders with genetic algorithms L Lamata, U Alvarez-Rodriguez, JD Martín-Guerrero, M Sanz, E Solano Quantum Science and Technology 4 (1), 014007, 2018 | 80 | 2018 |
| Post–COVID-19 Symptoms 2 Years After SARS-CoV-2 Infection Among Hospitalized vs Nonhospitalized Patients C Fernández-de-Las-Peñas, J Rodríguez-Jiménez, I Cancela-Cilleruelo, ... JAMA Network Open 5 (11), e2242106-e2242106, 2022 | 79 | 2022 |
| Prevalence and risk factors of musculoskeletal pain symptoms as long-term post-COVID sequelae in hospitalized COVID-19 survivors: A multicenter study C Fernández-de-Las-Peñas, AI de-la-Llave-Rincón, R Ortega-Santiago, ... Pain 163 (9), e989-e996, 2022 | 78 | 2022 |
| Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling O Pastor-Bárcenas, E Soria-Olivas, JD Martín-Guerrero, G Camps-Valls, ... Ecological Modelling 182 (2), 149-158, 2005 | 78 | 2005 |
| Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images OJ Pellicer-Valero, JL Marenco Jiménez, V Gonzalez-Perez, ... Scientific reports 12 (1), 2975, 2022 | 74 | 2022 |
| Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear … J Gómez-Sanchis, J Blasco, E Soria-Olivas, D Lorente, ... Postharvest Biology and Technology 82, 76-86, 2013 | 69 | 2013 |
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de València在 uv.es 的电子邮件经过验证
