Saúl Alonso-Monsalve

11 papers C 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Building Machine Learning Challenges for Anomaly Detection in Science.
CoRR
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
2025 J jnl
Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography.
CoRR
Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez
2024 J jnl
AI-based particle track identification in scintillating fibres read out with imaging sensors.
CoRR
Noemi Bührer, Saúl Alonso-Monsalve, Matthew Franks, Till Dieminger, Davide Sgalaberna
2023 J jnl
Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions.
CoRR
Saúl Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao, Adrien Molines, Clark McGrew, André Rubbia
2022 J jnl
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field.
CoRR
Saúl Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao, Clark McGrew, André Rubbia
2022 J jnl
Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks.
CoRR
Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez
2021 C conf
Analyzing the distributed training of deep-learning models via data locality.
PDP
Saúl Alonso-Monsalve, Alejandro Calderón, Félix García Carballeira, José Rivadeneira
2020 J jnl
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators.
Expert Syst. Appl.
Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2020 J jnl
Image-Based Model Parameter Optimization Using Model-Assisted Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst.
Saúl Alonso-Monsalve, Leigh H. Whitehead
2020 J jnl
WepSIM: An Online Interactive Educational Simulator Integrating Microdesign, Microprogramming, and Assembly Language Programming.
IEEE Trans. Learn. Technol.
Félix García Carballeira, Alejandro Calderón Mateos, Saúl Alonso-Monsalve, Javier Prieto Cepeda
2018 J jnl
Image-based model parameter optimisation using Model-Assisted Generative Adversarial Networks.
CoRR
Saúl Alonso-Monsalve, Leigh H. Whitehead