Adrián
Inés Armas
PROFESORA CON CONTRATO DE SUSTITUCIÓN
María Vico
Pascual Martínez-Losa
PROFESORA TITULAR DE UNIVERSIDAD
Publications by the researcher in collaboration with María Vico Pascual Martínez-Losa (14)
2024
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Analysing semi-supervised learning for image classification using compact networks in the biomedical context
Soft Computing, Vol. 28, Núm. 15-16, pp. 8931-8943
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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)
2023
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Evaluación y mejora del Kit en Tecnologías Informáticas
Evaluación y mejora del Kit en Tecnologías Informáticas
2022
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Curso 0 en Tecnologías Informáticas
Curso 0 en Tecnologías Informáticas
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Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context
[depositado en Arxiv]
2021
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Biomedical image classification made easier thanks to transfer and semi-supervised learning
Computer Methods and Programs in Biomedicine, Vol. 198
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MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images
Computers in Biology and Medicine, Vol. 136
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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
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DeepCompareJ: Comparing Image Classification Models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019
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Clodsa: A tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
BMC Bioinformatics, Vol. 20, Núm. 1
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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
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DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification
Computers in Biology and Medicine, Vol. 108, pp. 49-56
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Towards integrating imageJ with deep biomedical models
Advances in Intelligent Systems and Computing
2018
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DetectionEvaluationJ: a tool to evaluate object detection algorithms
Lecture Notes in Computer Science. Proceedings EUROCAST 2017 (Springer)