| Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem LGB Ruíz, MI Capel, MC Pegalajar Applied Soft Computing 76, 356-368, 2019 | 49 | 2019 |
| Conceptual framework for business processes compositional verification LE Mendoza, MI Capel, MA Pérez Information and Software Technology 54 (2), 149-161, 2012 | 45 | 2012 |
| A methodological approach to the formal specification of real-time systems by transformation of UML-RT design models KB Akhlaki, MIC Tuñón, JAH Terriza, LEM Morales Science of Computer Programming 65 (1), 41-56, 2007 | 43 | 2007 |
| A tensorflow approach to data analysis for time series forecasting in the energy-efficiency realm JRS Iruela, LGB Ruiz, MI Capel, MC Pegalajar Energies 14 (13), 4038, 2021 | 34 | 2021 |
| A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks JRS Iruela, LGB Ruiz, MC Pegalajar, MI Capel Energy Conversion and Management 207, 112535, 2020 | 33 | 2020 |
| Teaching concurrent and parallel programming by patterns: An interactive ICT approach MI Capel, AJ Tomeu, AG Salguero Journal of Parallel and Distributed Computing 105, 42-52, 2017 | 27 | 2017 |
| Nivel de triglicéridos como factor de riesgo durante el embarazo: modelado biológico; revisión sistemática MJ Aguilar Cordero, L Baena García, AM Sánchez López, ... Nutrición Hospitalaria 32 (2), 517-527, 2015 | 26 | 2015 |
| Parallel cellular automaton tumor growth model AG Salguero, MI Capel, AJ Tomeu International Conference on Practical Applications of Computational Biology …, 2018 | 21 | 2018 |
| A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption JRS Iruela, LGB Ruiz, D Criado-Ramón, MC Pegalajar, MI Capel Applied Soft Computing 160, 111711, 2024 | 19 | 2024 |
| Triglyceride levels as a risk factor during pregnancy; biological modeling; systematic review AC MJ, SL AM Nutrición Hospitalaria 32 (2), 517-527, 2015 | 19 | 2015 |
| Speeding up tumor growth simulations using parallel programming and cellular automata AJ Tomeu, AG Salguero, MI Capel IEEE Latin America Transactions 14 (11), 4611-4619, 2016 | 17 | 2016 |
| Automating the transformation from BPMN models to CSP+ T specifications MI Capel, LE Mendoza 2012 35th annual IEEE software engineering workshop, 100-109, 2012 | 15 | 2012 |
| AN OBJECT-BASED TOOL AND METHODOLOGICAL APPROACH FOR DISTRIBUTED-PROGRAMMING M Capel, JM Troya Software-Concepts and Tools 15 (4), 177-195, 1994 | 15 | 1994 |
| Remote sensing and machine learning for accurate fire severity mapping in Northern Algeria N Zikiou, H Rushmeier, MI Capel, T Kandakji, N Rios, M Lahdir Remote Sensing 16 (9), 1517, 2024 | 14 | 2024 |
| A programming tool for distributed implementation of branch-and-bound algorithms MI Capel, A Palma Parallel Computing and Transputer Applications. IOS Press/CIMNE. Barcelona, 1992 | 13 | 1992 |
| Choreography modeling compliance for timed business models MI Capel, LE Mendoza Workshop on Enterprise and Organizational Modeling and Simulation, 202-218, 2014 | 12 | 2014 |
| A parallel programming methodology using communication patterns named CPANS or composition of parallel object M Rossainz, M Capel Proceedings of 20TH European Modeling & Simulation Symposium, Campora S …, 2008 | 11 | 2008 |
| Automatic verification of business process integrity MI Capel-Tunon, LE Mendoza-Morales, K Benghazi-Akhlaki International Journal of Simulation and Process Modelling 4 (3-4), 167-182, 2008 | 10 | 2008 |
| Compositional model-checking verification of critical systems LE Mendoza, MI Capel, M Pérez, K Benghazi International Conference on Enterprise Information Systems, 213-225, 2008 | 9 | 2008 |
| A Wireless Networked Embedded System with a New Real-Time Kernel-PaRTiKle W Mata, A González, R Aquino, A Crespo, I Ripoll, M Capel Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007), 21-26, 2007 | 9 | 2007 |
