José Bobes-Bascarán

According to our database, José Bobes-Bascarán authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach.

Eduardo Mosqueira-Rey, Elena Hernández-Pereira, José Bobes-Bascarán, David Alonso-Ríos, Alberto Pérez-Sánchez, Ángel Fernández-Leal, Vicente Moret-Bonillo, Yolanda Vidal-Ínsua, Francisca Vázquez-Rivera

Neural Comput. Appl., February, 2024

Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach.

José Bobes-Bascarán, Eduardo Mosqueira-Rey, Ángel Fernández-Leal, Elena Hernández-Pereira, David Alonso-Ríos, Vicente Moret-Bonillo, Israel Figueirido-Arnoso, Yolanda Vidal-Ínsua

CoRR, 2024

2023

Human-in-the-loop machine learning: a state of the art.

Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán, Ángel Fernández-Leal

Artif. Intell. Rev., April, 2023

Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer.

Eduardo Mosqueira-Rey, Alberto Pérez-Sánchez, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán, Ángel Fernández-Leal, Vicente Moret-Bonillo, Yolanda Vidal-Ínsua, Francisca Vázquez-Rivera

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Using Active Learning to Improve the Treatment Selection on Pancreatic Cancer Patients.

José Bobes-Bascarán, Alberto Pérez-Sánchez, Eduardo Mosqueira-Rey, David Alonso-Ríos, Elena Hernández-Pereira

Proceedings of V XoveTIC Conference, 2022

A classification and review of tools for developing and interacting with machine learning systems.

Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022