Publicacions en què col·labora amb Adrián Inés Armas (12)

2024

  1. Analysing semi-supervised learning for image classification using compact networks in the biomedical context

    Soft Computing, Vol. 28, Núm. 15-16, pp. 8931-8943

  2. Semi-supervised Learning Methods for Semantic Segmentation of Polyps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context

    [depositado en Arxiv]

2021

  1. Biomedical image classification made easier thanks to transfer and semi-supervised learning

    Computer Methods and Programs in Biomedicine, Vol. 198

  2. MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images

    Computers in Biology and Medicine, Vol. 136

  3. Towards Document Entity Recognition using Close Domain Transfer Learning.

    XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA 20/21) Septiembre 22-24, Málaga, España

2020

  1. DeepCompareJ: Comparing Image Classification Models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Clodsa: A tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

    BMC Bioinformatics, Vol. 20, Núm. 1

  2. Control de versiones para la gestión de prácticas de los estudiantes del Grado de Ingeniería Informática

    Control de versiones para la gestión de prácticas de los estudiantes del Grado de Ingeniería Informática

  3. DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification

    Computers in Biology and Medicine, Vol. 108, pp. 49-56

  4. Towards integrating imageJ with deep biomedical models

    Advances in Intelligent Systems and Computing

2018

  1. DetectionEvaluationJ: a tool to evaluate object detection algorithms

    Lecture Notes in Computer Science. Proceedings EUROCAST 2017 (Springer)