| Agent-based modeling and simulation of an autonomic manufacturing execution system M Rolón, E Martínez Computers in industry 63 (1), 53-78, 2012 | 125 | 2012 |
| Enterprise modeling of a project-oriented fractal company for SMEs networking MM Canavesio, E Martinez Computers in industry 58 (8-9), 794-813, 2007 | 121 | 2007 |
| Model-free control based on reinforcement learning for a wastewater treatment problem S Syafiie, F Tadeo, E Martinez, T Alvarez Applied Soft Computing 11 (1), 73-82, 2011 | 80 | 2011 |
| Model-free learning control of neutralization processes using reinforcement learning S Syafiie, F Tadeo, E Martinez Engineering Applications of Artificial Intelligence 20 (6), 767-782, 2007 | 76 | 2007 |
| Learning and adaptation of a policy for dynamic order acceptance in make-to-order manufacturing F Arredondo, E Martinez Computers & Industrial Engineering 58 (1), 70-83, 2010 | 64 | 2010 |
| Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes M De Paula, LO Avila, EC Martinez Applied Soft Computing 35, 310-332, 2015 | 53 | 2015 |
| SmartGantt–An intelligent system for real time rescheduling based on relational reinforcement learning J Palombarini, E Martinez Expert Systems with Applications 39 (11), 10251-10268, 2012 | 52 | 2012 |
| Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization JC Barsce, JA Palombarini, EC Martínez 2017 XLIII Latin American Computer Conference (CLEI), 1-9, 2017 | 43 | 2017 |
| Batch process modeling for optimization using reinforcement learning EC Martínez Computers & Chemical Engineering 24 (2-7), 1187-1193, 2000 | 41 | 2000 |
| Non-invasive home telemonitoring system for heart failure patients: a randomized clinical trial LM Yanicelli, CB Goy, VC González, GN Palacios, EC Martínez, ... Journal of Telemedicine and Telecare 27 (9), 553-561, 2021 | 37 | 2021 |
| Design of dynamic experiments in modeling for optimization of batch processes EC Martinez, MD Cristaldi, RJ Grau Industrial & engineering chemistry research 48 (7), 3453-3465, 2009 | 37 | 2009 |
| Neuro-fuzzy modeling and control of a batch process involving simultaneous reaction and distillation JA Wilson, EC Martinez Computers & chemical engineering 21, S1233-S1238, 1997 | 36 | 1997 |
| Dynamic optimization of bioreactors using probabilistic tendency models and Bayesian active learning EC Martínez, MD Cristaldi, RJ Grau Computers & Chemical Engineering 49, 37-49, 2013 | 35 | 2013 |
| Closed-loop rescheduling using deep reinforcement learning JA Palombarini, EC Martínez IFAC-PapersOnLine 52 (1), 231-236, 2019 | 34 | 2019 |
| Agent learning in autonomic manufacturing execution systems for enterprise networking M Rolon, E Martinez Computers & Industrial Engineering 63 (4), 901-925, 2012 | 33 | 2012 |
| On-line policy learning and adaptation for real-time personalization of an artificial pancreas M De Paula, GG Acosta, EC Martínez Expert Systems with Applications 42 (4), 2234-2255, 2015 | 29 | 2015 |
| Tratamiento químico de contaminantes orgánicos: el proceso Fenton EC Martínez, GD López Ingeniería química, 149-153, 2001 | 29 | 2001 |
| End-to-end on-line rescheduling from Gantt chart images using deep reinforcement learning JA Palombarini, EC Martínez International Journal of Production Research, 1-30, 2021 | 28 | 2021 |
| A Bayesian approach to run-to-run optimization of animal cell bioreactors using probabilistic tendency models M Luna, E Martínez Industrial & Engineering Chemistry Research 53 (44), 17252-17266, 2014 | 27 | 2014 |
| On performance modeling of project-oriented production EC Martinez, D Duje, GA Perez Computers & industrial engineering 32 (3), 509-527, 1997 | 27 | 1997 |
