| Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation CF Rodríguez-Hernández, M Musso, E Kyndt, E Cascallar Computers and Education: Artificial Intelligence 2, 100018, 2021 | 124 | 2021 |
| Funciones ejecutivas: un estudio de los efectos de la pobreza sobre el desempeño ejecutivo M Musso Interdisciplinaria 27 (1), 95-110, 2010 | 119 | 2010 |
| Predicting key educational outcomes in academic trajectories: a machine-learning approach MF Musso, CFR Hernández, EC Cascallar Higher education 80 (5), 875-894, 2020 | 115 | 2020 |
| Predicting general academic performance and identifying the differential contribution of participating variables using artificial neural networks. MF Musso, E Kyndt, EC Cascallar, F Dochy Frontline Learning Research 1 (1), 42-71, 2013 | 97 | 2013 |
| Individual differences in basic cognitive processes and self-regulated learning: Their interaction effects on math performance MF Musso, M Boekaerts, M Segers, EC Cascallar Learning and individual Differences 71, 58-70, 2019 | 90 | 2019 |
| Predicting Mathematical Performance: The Effect of Cognitive Processes and Self‐Regulation Factors M Musso, E Kyndt, E Cascallar, F Dochy Education Research International 2012 (1), 250719, 2012 | 55 | 2012 |
| Evaluación de funciones ejecutivas en niños: análisis y adaptación de pruebas en un contexto escolar M Musso Revista Iberoamericana de Diagnóstico y Evaluación-e Avaliação Psicológica 1 …, 2009 | 41 | 2009 |
| Cognitive profiles of patients with early detected and treated congenital hypothyroidism ML Pardo Campos, MF Musso, A Keselman, L Gruñeiro, I Bergadá, ... Sociedad Argentina de Pediatría, 2017 | 33 | 2017 |
| Identifying reliable predictors of educational outcomes through machine-learning predictive modeling MF Musso, EC Cascallar, N Bostani, M Crawford Frontiers in Education 5, 104, 2020 | 21 | 2020 |
| Self-regulated learning and the understanding of complex outcomes M Boekaerts, M Musso, EC Cascallar Education Research International 2012, 2012 | 21 | 2012 |
| New approaches for improved quality in educational assessments: Using automated predictive systems in reading and mathematics M Musso, E Cascallar Problems of Education in the 21st Century 17, 134, 2009 | 19 | 2009 |
| Predicting academic performance: The role of cognition, motivation and learning approaches. A neural network analysis E Kyndt, M Musso, E Cascallar, F Dochy Methodological challenges in research on student learning, 55-76, 2015 | 17 | 2015 |
| Perfiles cognitivos en pacientes con hipotiroidismo congénito detectado y tratado en forma temprana ML Pardo Campos, M Musso, A Keselman, L Gruñeiro, I Bergadá, ... Archivos argentinos de pediatría 115 (1), 12-17, 2017 | 15 | 2017 |
| Modelling for Understanding AND for Prediction/Classification--The Power of Neural Networks in Research. E Cascallar, M Musso, E Kyndt, F Dochy Frontline Learning Research 2 (5), 67-81, 2014 | 15 | 2014 |
| Funciones ejecutivas y control ejecutivo: una revisión bibliográfica mirando la arquitectura de la mente MF Musso EDUCA, 2009 | 15 | 2009 |
| Retención y permanencia laboral: validacion de un cuestionario para evaluar retención laboral en nuestro país M Musso, J Salgado IV Congreso Internacional de Investigación y Práctica Profesional en …, 2012 | 14 | 2012 |
| Executive functions: A study about the impact of the poverty on executive performance M Musso Interdisciplinaria 27 (1), 95-110, 2010 | 12 | 2010 |
| Predictive systems using artificial neural networks: An introduction to concepts and applications in education and social sciences MF Musso, EC Cascallar Research in behavioural sciences 1, 433-459, 2009 | 12 | 2009 |
| Classificatory stream analysis in the prediction of expected reading readiness: Understanding student performance E Cascallar, MF Musso Wiley, 2008 | 12 | 2008 |
| Autoregulación y habilidades sociales: intervención en una población infantil de riesgo por pobreza MF Musso, GM Lopez, MF Iglesia Universidad del Aconcagua, 2007 | 11 | 2007 |
