| Lower bounds for Diophantine approximations M Giusti, J Heintz, K Hägele, JE Morais, LM Pardo, JL Montana Journal of Pure and Applied Algebra 117, 277-317, 1997 | 181 | 1997 |
| Alzheimer’s disease stage identification using deep learning models S Bringas, S Salomón, R Duque, C Lage, JL Montaña Journal of Biomedical Informatics 109, 103514, 2020 | 81 | 2020 |
| Lower bounds for arithmetic networks JL Montana, LM Pardo Applicable Algebra in Engineering, Communication and Computing 4, 1-24, 1993 | 56 | 1993 |
| A dynamic-bayesian network framework for modeling and evaluating learning from observation S Ontañón, JL Montaña, AJ Gonzalez Expert Systems with Applications 41 (11), 5212-5226, 2014 | 46 | 2014 |
| Lower bounds for arithmetic networks II: Sum of Betti numbers JL Montaña, JE Morais, LM Pardo Applicable Algebra in Engineering, Communication and Computing 7, 41-51, 1996 | 31 | 1996 |
| Global optimality in k-means clustering C Tîrnăucă, D Gómez-Pérez, JL Balcázar, JL Montaña Information Sciences 439, 79-94, 2018 | 29 | 2018 |
| The distribution of condition numbers of rational data of bounded bit length D Castro, JL Montaña, LM Pardo, J San Martín Foundations of Computational Mathematics 2, 1-52, 2002 | 29 | 2002 |
| Classification of Alzheimer’s patients through ubiquitous computing A Nieto-Reyes, R Duque, JL Montaña, C Lage Sensors 17 (7), 1679, 2017 | 25 | 2017 |
| A convolutional neural network-based method for human movement patterns classification in Alzheimer’s disease S Bringas, S Salomón, R Duque, JL Montaña, C Lage Proceedings 31 (1), 72, 2019 | 24 | 2019 |
| Straight line programs: a new linear genetic programming approach CL Alonso, J Puente, JL Montana 2008 20th IEEE International Conference on Tools with Artificial …, 2008 | 24 | 2008 |
| Model selection in genetic programming CE Borges, CL Alonso, JL Montaña Proceedings of the 12th annual conference on genetic and evolutionary …, 2010 | 22 | 2010 |
| Lower bounds for diophantine approximation (1997) J M Giusti, K Hägele, J Heintz, JE Morais, JL Montaña, LM Pardo Pure Appl. Algebra 117 (118), 277-317, 0 | 21 | |
| Penalty functions for genetic programming algorithms JL Montana, CL Alonso, CE Borges, J De La Dehesa Computational Science and Its Applications-ICCSA 2011: International …, 2011 | 18 | 2011 |
| Time-space tradeoffs in algebraic complexity theory M Aldaz, J Heintz, G Matera, JL Montaña, LM Pardo journal of complexity 16 (1), 2-49, 2000 | 18 | 2000 |
| A new linear genetic programming approach based on straight line programs: Some theoretical and experimental aspects CL Alonso, JL Montaña, J Puente, CE Borges International Journal on Artificial Intelligence Tools 18 (05), 757-781, 2009 | 17 | 2009 |
| Towards a unified framework for learning from observation J Montana, A Gonzalez IJCAI Workshop on Agents Learning Interactively from Human Teachers, 2011 | 16 | 2011 |
| Time bounded computations over the reals F CUOCERE, JL Montana, LM Pardo International Journal of Algebra and Computation 2 (4), 395-408, 1992 | 16 | 1992 |
| Evolution strategies for constants optimization in genetic programming CL Alonso, JL Montana, CE Borges 2009 21st IEEE International Conference on Tools with Artificial …, 2009 | 15 | 2009 |
| The non-scalar model of complexity in computational geometry JL Montaña, LM Pardo, T Recio Effective Methods in Algebraic Geometry, 347-361, 1991 | 15 | 1991 |
| Behavioral modeling based on probabilistic finite automata: An empirical study C Tîrnăucă, JL Montaña, S Ontañón, AJ González, LM Pardo Sensors 16 (7), 958, 2016 | 13 | 2016 |
Luis M. PardoUniversidad de CantabriaDirección de correo verificada de unican.es
