Publications (most important in recent years, see DBLP, Academic, Scholar in Team pages)

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M. Brugnoli, Heymann, E., and Senar, M. A., “Grid Scheduling Based on Collaborative Random Early Detection Strategies”, in PDP, 2010, pp. 35-42.

E. Bruballa, Wong, A., Rexachs, D., Luque, E., and Epelde, F., “Scheduling model for non-critical patients admission into a hospital emergency department”, in 2017 Winter Simulation Conference (WSC), 2017.

E. Bruballa, Wong, A., Rexachs, D., and Luque, E., “An Intelligent Scheduling of Non-Critical Patients Admission for Emergency Department”, IEEE Access, vol. 8, pp. 9209-9220, 2020.

E. Bruballa, Taboada, M., Cabrera, E., Rexachs, D., and Luque, E., “Simulation and Big Data: A Way to Discover Unusual Knowledge in Emergency Departments (Work-in-Progress Paper)”, 2nd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE Computer Society, Barcelona, Spain, pp. 367 - 372, 2014.

E. Bruballa, Taboada, M., Cabrera, E., Rexachs, D., and Luque, E., “Simulation as a Sensor of Emergency Departments: Providing Data for Knowledge Discovery”, The Sixth International Conference on Advances in System Simulation (SIMUL 2014). International Academy, Research, and Industry Association (IARIA), Nice, France , pp. 209-212, 2014.

E. Bruballa, Taboada, M., Wong, A., Rexachs, D., and Luque, E., “An Analytical Model to Evaluate the Response Capacity of Emergency Departments in Extreme Situations”, The Seventh International Conference on Advances in System Simulation (SIMUL 2015). IARIA, Barcelona, Spain, 2015.

E. Bruballa, Taboada, M., Wong, A., Rexachs, D., and Luque, E., “Evaluation of performance and response capacity in emergency deparments”, in Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA, USA, December 6-9, 2015, 2015, pp. 3228–3229.

E. Bruballa, Wong, A., Epelde, F., Rexachs, D., and Luque, E., “A model to predict length of stay in a hospital emergency department and enable planning for non-critical patients admission”, International Journal of Integrated Care, vol. 16, 2016.

E. Bruballa, Wong, A., Rexachs, D., Epelde, F., and Luque, E., “Evaluation of Response Capacity to Patient Attention Demand in an Emergency Department”, International Journal on Advances in Systems and Measurements, vol. 10, pp. 11-22, 2017.

F. Borges, Gutierrez-Milla, A., Suppi, R., and Luque, E., “Optimal Run Length for Discrete-event Distributed Cluster-based Simulations”, Procedia Computer Science, vol. 29, pp. 73 - 83, 2014.

F. Borges, Gutierrez-Milla, A., Suppi, R., and Luque, E., “A Hybrid MPI+OpenMP Solution of the Distributed Cluster-based Fish Schooling Simulator”, Procedia Computer Science, vol. 29, pp. 2111 - 2120, 2014.

F. Borges, Gutierrez-Milla, A., Suppi, R., and Luque, E., “Strip Partitioning for Ant Colony Parallel and Distributed Discrete-event Simulation”, Procedia Computer Science, vol. 51, pp. 483 - 492, 2015.

F. Borges, Gutierrez-Milla, A., Suppi, R., Luque, E., and de Arduino, M. B., “An agent-based model for assessment of aedes aegypti pupal productivity”, in Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA, USA, December 6-9, 2015, 2015, pp. 159–170.

F. Borges, Gutierrez-Milla, A., Luque, E., and Suppi, R., “Care HPS: A high performance simulation tool for parallel and distributed agent-based modeling”, Future Generation Computer Systems, p. -, 2017.

R. J. Barrientos, Hernández-García, R., Ortega, K., Luque, E., and Peralta, D., “Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms”, in Cloud Computing and Big Data, La Plata, Argentina, 2019.

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