Saúl Alonso-Monsalve

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Technical Indicators

Computed Tomography Images

Low Bit Rate Coding

Top Venues

IEEE Trans. Learn. Technol.

IEEE Trans. Neural Networks Learn. Syst.

Expert Syst. Appl.

Publications

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 (2023)
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 (2022)
Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez
Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks. CoRR (2022)
Saúl Alonso-Monsalve, Alejandro Calderón, Félix García Carballeira, José Rivadeneira
Analyzing the distributed training of deep-learning models via data locality. PDP (2021)
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 (2020)
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) (2020)
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) (2020)
Saúl Alonso-Monsalve, Leigh H. Whitehead
Image-based model parameter optimisation using Model-Assisted Generative Adversarial Networks. CoRR (2018)