Segmenting overlapped objects in images. A study to support the diagnosis of sickle cell disease. - Miquel Miró-Nicolau; Biel Moyà Alcover; Manuel González Hidalgo; Antoni Jaume-i-Capó (CoRR, 2020)

A Multitask Deep Learning Approach for Staples and Wound Segmentation in Abdominal Post-surgical Images. - Gabriel Moyà-Alcover; Miquel Miró-Nicolau; Marc Munar; Manuel González Hidalgo (EUSFLAT/AGOP, 2023)

A novel approach to generate datasets with XAI ground truth to evaluate image models. - Miquel Miró-Nicolau; Antoni Jaume-i-Capó; Gabriel Moyà-Alcover (CoRR, 2023)

Meta-evaluating Stability Measures: MAX-Sensitivity and AVG-Sensitivity. - Miquel Miró-Nicolau; Antoni Jaume-i-Capó; Gabriel Moyà-Alcover (xAI (1), 2024)

Assessing fidelity in XAI post-hoc techniques: A comparative study with ground truth explanations datasets. - Miquel Miró-Nicolau; Antoni Jaume-i-Capó; Gabriel Moyà-Alcover (Artif. Intell., 2024)

To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems. - Miquel Miró-Nicolau; Gabriel Moyà-Alcover; Antoni Jaume-i-Capó; Manuel González Hidalgo; Maria Gemma Sempere Campello; Juan Antonio Palmer Sancho (CoRR, 2024)

Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity. - Miquel Miró-Nicolau; Antoni Jaume-i-Capó; Gabriel Moyà-Alcover (CoRR, 2024)

Improving concave point detection to better segment overlapped objects in images. - Miquel Miró-Nicolau; Gabriel Moyà-Alcover; Manuel González Hidalgo; Antoni Jaume-i-Capó (Multim. Tools Appl., 2024)

Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-Being. - Esperança Amengual Alcover; Antoni Jaume-i-Capó; Miquel Miró-Nicolau; Gabriel Moyà-Alcover; Antonia Paniza Fullana (ENASE, 2025)

A comprehensive study on fidelity metrics for XAI. - Miquel Miró-Nicolau; Antoni Jaume-i-Capó; Gabriel Moyà-Alcover (Inf. Process. Manag., 2025)