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 (SAC, 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 (XoveTIC, 2022)

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 (IJCNN, 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., 2023)

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)

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., 2024)