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

Export 174 results:
Author Title Type [ Year(Asc)]
2019
E. Montes-de-Oca, Suppi, R., De Giusti, L., and Naiouf, M., Agent-model based on flame GPU for assessing pupal productivity of the transmitting vector of Aedes aegypti infectious diseases, International Conference on Modeling and Applied Simulation 2019 (MAS19), vol. 1. DIME, Università di Genova, Lisbon, Portugal, pp. 149-158, 2019.
F. Tirado, Wong, A., Rexachs, D., and Luque, E., Benchmark Based on Application Signature to Analyze and Predict Their Behavior, in Cloud Computing and Big Data, La Plata, Argentina, 2019.
E. Diego, Marcelo, N., Armando, D. Giusti, Sandra, M., Dolores, R., and Emilio, L., On the Calibration, Verification and Validation of an Agent-Based Model of the HPC Input/Output System, The Eleventh International Conference on Advances in System Simulation (SIMUL 2019), vol. 1. IARIA, Valencia - Spain, pp. 14-21, 2019.
M. Morán, Balladini, J., Rexachs, D., and Luque, E., Checkpoint and Restart: An Energy Consumption Characterization in Clusters, in Computer Science – CACIC 2018, Argentina, 2019.
A. Andreu, Abelló, A., Luque, E., and Rexachs, D., Empoderando al paciente de fisioterapia a través del uso de las TIC, International Journal of Integrated Care, vol. 19, 2019.
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.
B. León, Gomez-Sanchez, P., Franco, D., Rexachs, D., and Luque, E., IaaS Cloud as a virtual environment for experimentation in checkpoint analysis, Journal of Computer Science and Technology, vol. 19, p. e11, 2019.
M. Morán, Balladini, J., Rexachs, D., and Luque, E., Prediction of Energy Consumption by Checkpoint/Restart in HPC, IEEE Access, vol. 7, pp. 71791-71803, 2019.
A. Vicente-Villalba, Antonin, M., Rexachs, D., and Luque, E., A Reactive “In silico” Simulation for Theoretical Learning Clinical Skills and Decision-Making, The Eleventh International Conference on Advances in System Simulation (SIMUL 2019), vol. 1. IARIA, Valencia - Spain, pp. 3-7, 2019.
J. Ibeas, Macias, E., Rubiella, C., Morell, A., Serrano, J., Rodriguez-Jornet, A., Vicario, J., and Rexachs, D., Renal Failure and Mortality: From Evidence to Artificial Intelligence, Change of Paradigm?, Nephrology Dialysis Transplantation, vol. 34, 2019.
G. Tashakor and Suppi, R., Simulation and analysis of a multi-scale tumor model using agent clustered network, International Conference on Modeling and Applied Simulation 2019 (MAS19), vol. 1. DIME, Università di Genova, Lisbon, Portugal, pp. 64-71, 2019.
J. Balladini, Bruno, P., Zurita, R., Orlandi, C., Suppi, R., Rexachs, D., and Luque, E., A tool for improving the delivery of integrated intensive health care performance. , International Journal of Integrated Care, vol. 19, 2019.
2018
M. Trigila, Gaudiani, A., and Luque, E., Adjustment of a simulator of a complex dynamic system with emphasis on the reduction of computational resources, Jornadas de Cloud Computing & Big Data (JCC&BD) . Facultad de Informática. UNLP, La Plata, pp. 142-147, 2018.
G. Tashakor and Suppi, R., Agent-Based Model for Tumor-Analysis using Python+Mesa, European Modeling and Simulation Symposium (EMSS). DIME, Università Di Genova, DIMEG, University of Calabria. Affenzeller, Bruzzone, Jiménez, Longo, Merkuryev and Piera Eds. , Budapest, Hungary, pp. 248-253, 2018.
M. Trigila, Gaudiani, A., and Luque, E., Agile Tuning Method in Successive Steps for a River Flow Simulator, in Computational Science - {ICCS} 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018 Proceedings, Part {III}, 2018.

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