Crowdsourcing reproducible seizure forecasting in human and canine epilepsy BH Brinkmann, J Wagenaar, D Abbot, P Adkins, SC Bosshard, M Chen, ... Brain 139 (6), 1713-1722, 2016 | 258 | 2016 |
On-line learning of indoor temperature forecasting models towards energy efficiency F Zamora-Martinez, P Romeu, P Botella-Rocamora, J Pardo Energy and Buildings 83, 162-172, 2014 | 164 | 2014 |
An autoregressive approach to spatio‐temporal disease mapping MA Martínez‐Beneito, A López‐Quilez, P Botella‐Rocamora Statistics in medicine 27 (15), 2874-2889, 2008 | 146 | 2008 |
Time-series forecasting of indoor temperature using pre-trained deep neural networks P Romeu, F Zamora-Martínez, P Botella-Rocamora, J Pardo Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013 | 86 | 2013 |
Disease mapping: from foundations to multidimensional modeling MA Martínez-Beneito, P Botella-Rocamora Chapman and Hall/CRC, 2019 | 70 | 2019 |
A unifying modeling framework for highly multivariate disease mapping P Botella‐Rocamora, MA Martinez‐Beneito, S Banerjee Statistics in Medicine 34 (9), 1548-1559, 2015 | 63 | 2015 |
Towards energy efficiency: Forecasting indoor temperature via multivariate analysis F Zamora-Martínez, P Romeu, P Botella-Rocamora, J Pardo Energies 6 (9), 4639-4659, 2013 | 49 | 2013 |
Epidemiology of sharka disease in Spain M Cambra, N Capote, MA Cambra, G Llácer, P Botella, A López‐Quílez EPPO Bulletin 36 (2), 271-275, 2006 | 49 | 2006 |
Online learning algorithm for time series forecasting suitable for low cost wireless sensor networks nodes J Pardo, F Zamora-Martínez, P Botella-Rocamora Sensors 15 (4), 9277-9304, 2015 | 40 | 2015 |
Towards a multidimensional approach to Bayesian disease mapping MA Martinez-Beneito, P Botella-Rocamora, S Banerjee Bayesian analysis 12 (1), 239, 2017 | 37 | 2017 |
Spatial moving average risk smoothing P Botella‐Rocamora, A López‐Quílez, MA Martinez‐Beneito Statistics in Medicine 32 (15), 2595-2612, 2013 | 37 | 2013 |
Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models A Adin, MA Martínez-Beneito, P Botella-Rocamora, T Goicoa, MD Ugarte Stochastic Environmental Research and Risk Assessment 31, 403-415, 2017 | 32 | 2017 |
Stacked denoising auto-encoders for short-term time series forecasting P Romeu, F Zamora-Martínez, P Botella-Rocamora, J Pardo Artificial Neural Networks: Methods and Applications in Bio …, 2015 | 27 | 2015 |
Detection, characterization, epidemiology and eradication of Plum pox virus Marcus type in Spain N Capote, MA Cambra, P Botella, MT Gorris, MC Martínez, ... Journal of Plant Pathology, 619-628, 2010 | 25 | 2010 |
Spatio-temporal evolution of female lung cancer mortality in a region of Spain, is it worth taking migration into account? O Zurriaga, H Vanaclocha, MA Martinez-Beneito, P Botella-Rocamora BMC cancer 8, 1-9, 2008 | 20 | 2008 |
Relationships between agronomic factors and epidemics of Phytophthora branch canker of citrus in southwestern Spain A Vicent, P Botella-Rocamora, A López-Quílez, E de la Roca, J Bascón, ... European journal of plant pathology 133, 577-584, 2012 | 17 | 2012 |
Do socioeconomic inequalities in mortality vary between different Spanish cities? a pooled cross-sectional analysis MA Martinez-Beneito, O Zurriaga, P Botella-Rocamora, M Marí-Dell'Olmo, ... BMC Public Health 13, 1-11, 2013 | 13 | 2013 |
A kernel-based spatio-temporal surveillance system for monitoring influenza-like illness incidence MA Martinez-Beneito, P Botella-Rocamora, O Zurriaga Statistical methods in medical research 20 (2), 103-118, 2011 | 13 | 2011 |
Beyond standardized mortality ratios; some uses of smoothed age-specific mortality rates on small areas studies J Perez-Panades, P Botella-Rocamora, MA Martinez-Beneito International journal of health geographics 19, 1-14, 2020 | 12 | 2020 |
On the convenience of heteroscedasticity in highly multivariate disease mapping F Corpas-Burgos, P Botella-Rocamora, MA Martinez-Beneito Test 28 (4), 1229-1250, 2019 | 11 | 2019 |