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ORCIDSaul Alonso Monsalve
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Journal Articles
- 2020
[j6]Saúl Alonso-Monsalve
, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana:
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Syst. Appl. 149: 113250 (2020)- [j5]Félix García Carballeira, Alejandro Calderón Mateos, Saúl Alonso-Monsalve, Javier Prieto Cepeda:
WepSIM: An Online Interactive Educational Simulator Integrating Microdesign, Microprogramming, and Assembly Language Programming. IEEE Trans. Learn. Technol. 13(1): 211-218 (2020) - [j4]Saúl Alonso-Monsalve, Leigh H. Whitehead:
Image-Based Model Parameter Optimization Using Model-Assisted Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5645-5650 (2020) - 2018
- [j3]Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón:
A heterogeneous mobile cloud computing model for hybrid clouds. Future Gener. Comput. Syst. 87: 651-666 (2018) - 2017
- [j2]Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón:
A new volunteer computing model for data-intensive applications. Concurr. Comput. Pract. Exp. 29(24) (2017) - [j1]Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón:
ComBos: A complete simulator of Volunteer Computing and Desktop Grids. Simul. Model. Pract. Theory 77: 197-211 (2017)
Conference and Workshop Papers
- 2021
- [c4]Saúl Alonso-Monsalve, Alejandro Calderón, Félix García Carballeira, José Rivadeneira:
Analyzing the distributed training of deep-learning models via data locality. PDP 2021: 117-121 - 2017
- [c3]Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón:
Fog computing through public-resource computing and storage. FMEC 2017: 81-87 - 2016
- [c2]Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón:
Improving the Performance of Volunteer Computing with Data Volunteers: A Case Study with the ATLAS@home Project. ICA3PP 2016: 178-191 - [c1]Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón Mateos:
Analyzing the performance of volunteer computing for data intensive applications. HPCS 2016: 597-604
Informal and Other Publications
- 2023
- [i4]Saúl Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao, Adrien Molines, Clark McGrew, André Rubbia:
Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions. CoRR abs/2310.19695 (2023) - 2022
- [i3]Saúl Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao, Clark McGrew, André Rubbia:
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field. CoRR abs/2211.04890 (2022) - [i2]Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez:
Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks. CoRR abs/2212.02854 (2022) - 2018
- [i1]Saúl Alonso-Monsalve, Leigh H. Whitehead:
Image-based model parameter optimisation using Model-Assisted Generative Adversarial Networks. CoRR abs/1812.00879 (2018)
Coauthor Index
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