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Romero, Miguel y Mañoso, Carolina . (2022) Fractional Generalized Predictive Control Strategy With Fractional Constraints Handling.  1.06 25 5
Teira Serrano, David y Zamora Bonilla, Jesús Pedro, The Politics of Positivism: Disinterested Predictions from interested agents. Uskali Maki, 2009 ()  0.96 716 5436
Contreras, Antonio y García-Madruga, Juan Antonio . (2020) The relationship of counterfactual reasoning and false belief understanding: the role of prediction and explanation tasks.  0.96 33 11
Merayo, David, Rodríguez Prieto, Álvaro y Camacho, Ana María . (2020) Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys.  0.91 44 12
Merayo Fernández, David, Rodríguez Prieto, Álvaro y Camacho, Ana María . (2020) Prediction of the Bilinear Stress-Strain Curve of Aluminum Alloys Using Artificial Intelligence and Big Data.  0.90 39 7
Merayo, David, Rodríguez Prieto, Álvaro y Camacho, Ana María . (2020) Prediction of Physical and Mechanical Properties for Metallic Materials Selection Using Big Data and Artificial Neural Networks.  0.90 35  
Gadea Pérez, Raúl. (2022). Attention to Traffic Forecasting: Improving Predictions with Temporal Graph Attention Networks Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial  0.90 83 75
Vega García, María. (2019). Interpretable forecasts of NO2 concentrations through deep SHAP Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial  0.87 537 1386
Corral Bondia, Pedro José. (2019). Eigenclusters for predicting users preferences Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial  0.85 310 153
Navares Echegaray, Ricardo. Deep Neural Architectures and Time Series: A scalable system for air quality prediction and its application . 2020. Universidad Nacional de Educación a Distancia (España). Escuela Internacional de Doctorado. Programa de Doctorado en Sistemas Inteligentes  0.85 298 546
Rodríguez-Prieto A., Camacho A.M. y Sebastián M.A . (2017) Multicriteria materials selection for extreme operating conditions based on a multiobjective analysis of irradiation embrittlement and hot cracking prediction models.  0.83 37 14
Nistal Nuño, Beatriz. (2021). Machine learning applied to a Cardiac Surgery Recovery Unit and to a Coronary Care Unit for mortality prediction Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.  0.82 191 274
Guzman Vilca, Wilmer Cristobal, Castillo Cara, Manuel y Carrillo Larco, Rodrigo M . (2022) Development, validation, and application of a machine learning model to estimate salt consumption in 54 countries.  0.82 25 15
García Ocaña, María Inmaculada. (2019). Analysis of ultrasound images and clinical data in two clinical scenarios: prediction of failure of induction of labor and risk of preterm delivery Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial  0.77 396 190
Jordà Mascaró, Marc. (2022). Prediction of the noise pollution in Barcelona and model explainability using SHAP values Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial  0.77 330 294
Sanjuán, Pilar, Magallares, Alejandro, Arranz, Henar y Castro, Almudena . (2022) A longitudinal study on coping and emotional well-being in cardiac patients.  0.77 36 8
Vega, J., Murari, A., Dormido Canto, Sebastián, Rattá, G. A., Gelfusa, M. y JET Contributors . (2022) Disruption prediction with artificial intelligence techniques in tokamak plasmas.  0.77 36 8
Balaguer-Romano, Rodrigo . (2022) A semi-mechanistic model for predicting daily variations in species-level live fuel moisture content.  0.77 199 63
González, Ramón, Mendiri, Paula and Arias, Alicia . (2002) Una aproximación a las variables predictoras del rendimiento académico en estudiantes de secundaria = Predictive variables of academic achievement in secondary education students.  0.77 441 417
Marzabal Manresa, Isabel . (2013) El animus necandi y factores de riesgo en el delito de asesinato de pareja o ex pareja : predicción de la violencia = The animus necandi and risk factors in the crime of murder of partner or former partner : prediction of violence.  0.77 571 9893
Mañoso, Carolina, Pérez de Madrid, Ángel y Romero, Miguel(2015) .Explicit predictive control of a hybrid system: A case study: Control of the longitudinal dynamics of a comercial vehicle at very low speed. .En: Singapore. ()  0.76 33  
Jurado González, Javier y Gómez Barroso, José Luis . (2022) Economic complexity and Information Society paradigms: a hybrid contribution to explain economic growth.  0.76 43 20
Teira Serrano, David . (2008) Why Friedman’s methodology did not generate consensus among economists?.  0.73 665 3464
Román-González, Marcos, Pérez-González, Juan Carlos, Moreno-León, Jesús y Robles, Gregorio . (2018) Can computational talent be detected? Predictive validity of the Computational Thinking Test.  0.73 40 27
Rodríguez-Prieto, Álvaro, Primera, Ernesto, Frigione, Mariaenrica y Camacho, Ana María . (2021) Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements.  0.72 36 8
Romero, Miguel, Madrid, Ángel P. de, Mañoso, Carolina y Milanés, V. . (2015) Low speed hybrid generalized predictive control of a gasoline-propelled car.  0.72 28 4
Navares Echegaray, Ricardo. (2016). Forecasting Airborne Pollen Concentrations through Random Forests Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.  0.72 322 45
Colmenar-Santos, Antonio, Muñoz-Gómez, Antonio-Miguel, Rosales-Asensio, Enrique, Fernandez Aznar, Gregorio y Galan-Hernandez, Noemi . (2022) Adaptive model predictive control for electricity management in the household sector.  0.72 50 12
Hernández-del-Olmo, Félix, Gaudioso, Elena, Duro, Natividad y Dormido, Raquel . (2019) Machine Learning Weather Soft-Sensor for Advanced Control ofWastewater Treatment Plants.  0.72 26 3
Primera, Ernesto, Fernández, Daniel, Cacereño, Andrés y Rodríguez Prieto, Álvaro . (2024) Predictive Analytics-Based Methodology Supported by Wireless Monitoring for the Prognosis of Roller-Bearing Failure.  0.72 18 2
Martínez Garín, Antonio. (2022). Resources usage prediction on parallel distributed infrastructures Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial  0.68 142 49
Mestre Navas, José Miguel, Guil Bozal, Rocío and Mestre Moreno, Rocio . (2005) Inteligencia emocional: resultados preliminares sobre su naturaleza y capacidad predictiva a partir de un estudio correlacional en muestras de estudiantes de secundaria = Emotional intelligence: preliminary results on its nature and predictive validity based on a correlational study in a high school students sample.  0.68 439 602
Carrera, Pilar, Itziar, Fernández Sedano, Muñoz, Dolores y Caballero , Amparo . (2019) Desires matter! Desired attitudes predict behavioural intentions in people who think abstractly: the case of eating products without added salt.  0.68 40 4
Gutiérrez Gómez, Bosco. (2021). Neural network model, based on time series, to forecast availability in the bike-shared systems Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial  0.68 202 256
Medrano López, Rodrigo de. (2019). A new Spatio-Temporal neural network approach for traffic accident forecasting Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.  0.68 546 441
Sandín, Bonifacio, Valiente, Rosa M., Chorot, Paloma, Santed, Miguel A. and Pineda, David . (2013) Dimensiones de sensibilidad al asco y predicción diferencial de los síntomas fóbicos = Domains of disgust differentially predict types of phobic symptoms.  0.68 612 268
Teira Serrano, David . (2009) A Positivist Tradition in Early Demand Theory.  0.66 620 152
Teira Serrano, David . (2008) Milton Friedman, the Statistical Methodologist.  0.66 649 3204
Caprara, Mariagiovanna, Zuffianò, Antonio, Contreras Felipe, Antonio y et al. . (2023) The protective role of positivity and emotional self-efficacy beliefs in times of the COVID-19 pandemic.  0.66 31 16
Fernández Abascal, Enrique G. y Martín Díaz, María Dolores . (2019) Relations Between Dimensions of Emotional Intelligence, Specific Aspects of Empathy, and Non-verbal Sensitivity.  0.66 47 11
Carrera, Pilar, Caballero, Amparo, Muñoz, Dolores, Marta González-Iraizoz y Fernández Sedano, Itziar . (2014) Construal level as a moderator of the role of affective and cognitive attitudes in the prediction of health-risk behavioural intentions.  0.66 31 4
Figueira, Leonor, Teixeira, Inês, Rodrigues, Nelson, Ferreira, Ana, Rodrigues, Cristina y Teixeira, Senhorinha(2022) .Assessment of PMV accuracy for different geographic locations using the ASHRAE Thermal Comfort Database II. .En: Universidad Politécnica de Madrid. ()  0.66 187 76
Oriol Vidal y David Teira . () Are animal breeds social kinds?.  0.65 118 29
Vega, J., Murari, A., Dormido Canto, Sebastián, Hernández, F., Cruz, T., Gadariya, D., Rattá, G.A. y JET Contributors . (2019) A linear equation based on signal increments to predict disruptive behaviours and the time to disruption on JET.  0.65 29 5
Martín-Aragoneses, María Teresa, Mejuto, Gema, Rio, David del, Fernandes, Sara Margarida, Rodrigues, Pedro E.S. y López-Higes, Ramón . (2023) Task Demands and Sentence Reading Comprehension among Healthy Older Adults: The Complementary Roles of Cognitive Reserve and Working Memory.  0.59 38 6
Fernández Abascal, Enrique G. y Martín Díaz, María Dolores . (2015) Dimensions of emotional intelligence related to physical and mental health and to health behaviors.  0.59 55 10
Sánchez Teruel, D., Robles Bello, M.A. y Camacho Conde, José Antonio . () Resilience and the variables that encourage it in young sub-saharan Africans who migrate.  0.59 31  
Millán Ruiz, David. (2010). Workforce Distribution in Dynamic Multi-Agent Systems Master Thesis, Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.  0.59 245 96
Fernández Sedano, Itziar, Caballero, Amparo, Muñoz, Dolores, Aguilar, Pilar y Carrera, Pilar . (2018) Abstract Construal Level and its Link to Self-Control and to Cross-Situational Consistency in Self-Concept: Predicting Health-Risk Behavioral Intentions.  0.59 23 2
Sainz, Mario y Baldissarri, Cristina . (2021) Abusive leadership versus objectifying job features: Factors that influence organizational dehumanization and workers’ self-objectification.  0.59 28 26

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