Saul Alonso Monsalve

According to our database, Saul Alonso Monsalve authored at least 18 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards foundation-style models for energy-frontier heterogeneous neutrino detectors via self-supervised pre-training.

Saúl Alonso-Monsalve, Fabio Cufino, Umut Kose, Anna Mascellani, André Rubbia

CoRR, April, 2026

2025

Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography.

Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez

CoRR, November, 2025

Building Machine Learning Challenges for Anomaly Detection in Science.

Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier M. Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, JangHyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem

CoRR, March, 2025

2024

AI-based particle track identification in scintillating fibres read out with imaging sensors.

Noemi Bührer, Saúl Alonso-Monsalve, Matthew Franks, Till Dieminger, Davide Sgalaberna

CoRR, 2024

2023

Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions.

Saúl Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao, Adrien Molines, Clark McGrew, André Rubbia

CoRR, 2023

2022

Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks.

Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez

CoRR, 2022

Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field.

Saúl Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao, Clark McGrew, André Rubbia

CoRR, 2022

2021

Analyzing the distributed training of deep-learning models via data locality.

Saúl Alonso-Monsalve, Alejandro Calderón, Félix García Carballeira, José Rivadeneira

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

2020

Image-Based Model Parameter Optimization Using Model-Assisted Generative Adversarial Networks.

Saúl Alonso-Monsalve, Leigh H. Whitehead

IEEE Trans. Neural Networks Learn. Syst., 2020

WepSIM: An Online Interactive Educational Simulator Integrating Microdesign, Microprogramming, and Assembly Language Programming.

Félix García Carballeira, Alejandro Calderón Mateos, Saúl Alonso-Monsalve, Javier Prieto Cepeda

IEEE Trans. Learn. Technol., 2020

Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators.

Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana

Expert Syst. Appl., 2020

2018

A heterogeneous mobile cloud computing model for hybrid clouds.

Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón

Future Gener. Comput. Syst., 2018

Image-based model parameter optimisation using Model-Assisted Generative Adversarial Networks.

Saúl Alonso-Monsalve, Leigh H. Whitehead

CoRR, 2018

2017

ComBos: A complete simulator of Volunteer Computing and Desktop Grids.

Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón

Simul. Model. Pract. Theory, 2017

A new volunteer computing model for data-intensive applications.

Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón

Concurr. Comput. Pract. Exp., 2017

Fog computing through public-resource computing and storage.

Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón

Proceedings of the Second International Conference on Fog and Mobile Edge Computing, 2017

2016

Analyzing the performance of volunteer computing for data intensive applications.

Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón Mateos

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

Improving the Performance of Volunteer Computing with Data Volunteers: A Case Study with the ATLAS@home Project.

Saul Alonso Monsalve, Félix García Carballeira, Alejandro Calderón

Proceedings of the Algorithms and Architectures for Parallel Processing, 2016