28 citations · 46 across the 11 of their papers we have counts for
12 papers
Diagnosis Support of Sickle Cell Anemia by Classifying Red Blood Cell Shape in Peripheral Blood Images
Wilkie Delgado-Font, Miriela Escobedo-Nicot, Manuel González-Hidalgo +3
Red blood cell (RBC) deformation is the consequence of several diseases, including sickle cell anemia, which causes recurring episodes of pain and severe pronounced anemia. Monitor…
Enhancing Generalization in Sickle Cell Disease Diagnosis through Ensemble Methods and Feature Importance Analysis
Nataša Petrović, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó +1
This work presents a novel approach for selecting the optimal ensemble-based classification method and features with a primarly focus on achieving generalization, based on the stat…
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being
Esperança Amengual-Alcover, Antoni Jaume-i-Capó, Miquel Miró-Nicolau +2
The integration of Artificial Intelligence in the development of computer systems presents a new challenge: make intelligent systems explainable to humans. This is especially vital…
Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users
José María Buades Rubio, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó +1
In this paper, we present a human-based computation approach for the analysis of peripheral blood smear (PBS) images images in patients with Sickle Cell Disease (SCD). We used the…
Geometric-Based Nail Segmentation for Clinical Measurements
Bernat Galmés, Gabriel Moyà-Alcover, Pedro Bibiloni +2
A robust segmentation method that can be used to perform measurements on toenails is presented. The proposed method is used as the first step in a clinical trial to objectively qua…
Solving nonograms using Neural Networks
José María Buades Rubio, Antoni Jaume-i-Capó, David López González +1
Nonograms are logic puzzles in which cells in a grid must be colored or left blank according to the numbers that are located in its headers. In this study, we analyze different tec…
Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity
Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover
The use of eXplainable Artificial Intelligence (XAI) systems has introduced a set of challenges that need resolution. The XAI robustness, or stability, has been one of the goals of…
Use of social networks to motivate computer-engineering students to participate in self-assessment activities
Carlos Guerrero, Antoni Jaume-i-Capó
Motivation is essential in the learning process of university students, and teachers should have a wide range of strategies to address this issue. The emergence of social technolog…
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets
M. Miró-Nicolau, A. Jaume-i-Capó, G. Moyà-Alcover
The evaluation of the fidelity of eXplainable Artificial Intelligence (XAI) methods to their underlying models is a challenging task, primarily due to the absence of a ground truth…
Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images
Nataša Petrović, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó +1
In this work we propose an approach to select the classification method and features, based on the state-of-the-art, with best performance for diagnostic support through peripheral…
Dealing with sequences in the RGBDT space
Gabriel Moyà, Antoni Jaume-i-Capó, Javier Varona
Most of the current research in computer vision is focused on working with single images without taking in account temporal information. We present a probabilistic non-parametric m…
Modelling depth for nonparametric foreground segmentation using RGBD devices
Gabriel Moyà-Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó +1
The problem of detecting changes in a scene and segmenting the foreground from background is still challenging, despite previous work. Moreover, new RGBD capturing devices include…