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2020 – today
- 2024
[j25]Maria del Mar Vila
, Lucas Gago, Pablo Pérez-Sánchez, Maria Grau, Beatriz Remeseiro, Laura Igual:
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images. Biomed. Signal Process. Control. 91: 106035 (2024)- [j24]Gonzalo de la Cruz, Madalena Lira, Oscar Luaces, Beatriz Remeseiro:
Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5130-5140 (2024) - [c31]Santiago C. Vilabella, Pablo Pérez-Núñez, Beatriz Remeseiro:
A Self-Supervised Approach for Enhanced Feature Representations in Object Detection Tasks. IJCNN 2024: 1-8 - 2023
- [j23]Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde:
Users' photos of items can reveal their tastes in a recommender system. Inf. Sci. 642: 119227 (2023) - [j22]Pablo Pérez-Núñez, Jorge Díez, Beatriz Remeseiro, Oscar Luaces, Antonio Bahamonde:
All-in-one picture: visual summary of items in a recommender system. Neural Comput. Appl. 35(27): 20339-20349 (2023) - [j21]Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo:
Do all roads lead to Rome? Studying distance measures in the context of machine learning. Pattern Recognit. 141: 109646 (2023) - [c30]Eva Blanco-Mallo, Verónica Bolón-Canedo, Beatriz Remeseiro:
A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation. IDEAL 2023: 22-27 - 2022
- [j20]Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva:
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103: 108380 (2022) - [j19]Lucas Gago, Maria del Mar Vila, Maria Grau, Beatriz Remeseiro, Laura Igual:
An end-to-end framework for intima media measurement and atherosclerotic plaque detection in the carotid artery. Comput. Methods Programs Biomed. 223: 106954 (2022) - [j18]David Morales, Estefanía Talavera, Beatriz Remeseiro:
Correction to: Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. Neural Comput. Appl. 34(8): 6571-6574 (2022) - [c29]Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro:
The role of feature selection in personalized recommender systems. ESANN 2022 - [c28]Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo:
When the best reviews are not placed between extremes. IJCNN 2022: 1-8 - 2021
- [j17]David Morales, Estefanía Talavera, Beatriz Remeseiro:
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. Neural Comput. Appl. 33(24): 16937-16949 (2021) - [j16]Beatriz Remeseiro, Ana Maria Mendonça, Aurélio Campilho:
Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation. Vis. Comput. 37(6): 1247-1261 (2021) - 2020
- [j15]Verónica Bolón-Canedo, Beatriz Remeseiro:
Feature selection in image analysis: a survey. Artif. Intell. Rev. 53(4): 2905-2931 (2020) - [j14]Maria del Mar Vila, Beatriz Remeseiro, Maria Grau, Roberto Elosua, Àngels Betriu, Elvira Fernandez-Giraldez, Laura Igual:
Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation. Artif. Intell. Medicine 103: 101784 (2020) - [j13]Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde:
Towards explainable personalized recommendations by learning from users' photos. Inf. Sci. 520: 416-430 (2020) - [j12]Margaríta Torre, Beatriz Remeseiro, Petia Radeva, Fernando Martínez:
DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 726-737 (2020) - [i4]Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems. CoRR abs/2003.06205 (2020) - [i3]David Morales, Estefanía Talavera, Beatriz Remeseiro:
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. CoRR abs/2012.14173 (2020)
2010 – 2019
- 2019
- [j11]Beatriz Remeseiro, Verónica Bolón-Canedo:
A review of feature selection methods in medical applications. Comput. Biol. Medicine 112 (2019) - 2018
- [j10]Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva:
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. IEEE Trans. Multim. 20(12): 3266-3275 (2018) - [c27]Verónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela:
Feature Selection for Big Visual Data: Overview and Challenges. ICIAR 2018: 136-143 - [c26]Stefan Schurischuster, Beatriz Remeseiro, Petia Radeva, Martin Kampel:
A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees. ICIAR 2018: 465-473 - 2017
- [j9]Jorge González-Domínguez, Beatriz Remeseiro, María J. Martín:
Parallel definition of tear film maps on distributed-memory clusters for the support of dry eye diagnosis. Comput. Methods Programs Biomed. 139: 51-60 (2017) - [j8]Diego Peteiro-Barral, Beatriz Remeseiro, Rebeca Méndez, Manuel G. Penedo:
Evaluation of an automatic dry eye test using MCDM methods and rank correlation. Medical Biol. Eng. Comput. 55(4): 527-536 (2017) - [c25]Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos:
Algorithmic challenges in big data analytics. ESANN 2017 - [c24]Pedro Herruzo, Laura Portell, Alberto Soto, Beatriz Remeseiro:
Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. ICIAP Workshops 2017: 109-119 - [c23]Beatriz Remeseiro, Ana Maria Mendonça, Aurélio J. C. Campilho:
Objective quality assessment of retinal images based on texture features. IJCNN 2017: 4520-4527 - [c22]Ana Maria Mendonça, Beatriz Remeseiro, Behdad Dashtbozorg, Aurélio Campilho:
Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. Computer-Aided Diagnosis 2017: 101341L - [i2]Pedro Herruzo, Laura Portell, Alberto Soto, Beatriz Remeseiro:
Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. CoRR abs/1707.07863 (2017) - [i1]Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva:
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants. CoRR abs/1711.05128 (2017) - 2016
- [j7]Beatriz Remeseiro, Noelia Barreira, Carlos García-Resúa, Madalena Lira, María Jesús Giráldez Fernández, Eva Yebra-Pimentel, Manuel G. Penedo:
iDEAS: A web-based system for dry eye assessment. Comput. Methods Programs Biomed. 130: 186-197 (2016) - [j6]Beatriz Remeseiro, Antonio Mosquera González, Manuel G. Penedo:
CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps. IEEE J. Biomed. Health Informatics 20(3): 936-943 (2016) - [c21]Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho:
Machine learning for medical applications. ESANN 2016 - [c20]Jorge González-Domínguez, Beatriz Remeseiro, María J. Martín:
Acceleration of Tear Film Map Definition on Multicore Systems. ICCS 2016: 41-51 - 2015
- [j5]Beatriz Remeseiro, Katherine M. Oliver, Alan Tomlinson, Eilidh Martin, Noelia Barreira, Antonio Mosquera González:
Automatic grading system for human tear films. Pattern Anal. Appl. 18(3): 677-694 (2015) - [j4]Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Real-Time Tear Film Classification Through Cost-Based Feature Selection. Trans. Comput. Collect. Intell. 20: 78-98 (2015) - [c19]Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo:
Learning features on tear film lipid layer classification. ESANN 2015 - [c18]Ana González-López, Beatriz Remeseiro, Marcos Ortega, Manuel G. Penedo, Pablo Charlón:
A Texture-Based Method for Choroid Segmentation in Retinal EDI-OCT Images. EUROCAST 2015: 487-493 - [c17]Ana González-López, Beatriz Remeseiro, Marcos Ortega, Manuel G. Penedo:
Choroid Characterization in EDI OCT Retinal Images Based on Texture Analysis. ICAART (2) 2015: 269-276 - [c16]Beatriz Remeseiro, Alba Fernández, Madalena Lira:
Automatic Eye Blink Detection Using Consumer Web Cameras. IWANN (2) 2015: 103-114 - 2014
- [j3]Beatriz Remeseiro, Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño:
A Methodology for Improving Tear Film Lipid Layer Classification. IEEE J. Biomed. Health Informatics 18(4): 1485-1493 (2014) - [c15]Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection. ICAART (1) 2014: 42-51 - [c14]Daniel G. Villaverde, Beatriz Remeseiro, Noelia Barreira, Manuel G. Penedo, Antonio Mosquera González:
Feature Selection Applied to Human Tear Film Classification. ICAART (1) 2014: 395-402 - [c13]Beatriz Remeseiro, Antonio Mosquera González, Manuel G. Penedo, Carlos García-Resúa:
Tear Film Maps based on the Lipid Interference Patterns. ICAART (1) 2014: 732-739 - [c12]Beatriz Remeseiro, Katherine M. Oliver, Eilidh Martin, Alan Tomlinson, Daniel G. Villaverde, Manuel G. Penedo:
Automatic Tear Film Segmentation Based on Texture Analysis and Region Growing. ICIAR (2) 2014: 185-192 - 2013
- [j2]Beatriz Remeseiro, Marta Penas, Noelia Barreira, Antonio Mosquera González, Jorge Novo, Carlos García-Resúa:
Automatic classification of the interferential tear film lipid layer using colour texture analysis. Comput. Methods Programs Biomed. 111(1): 93-103 (2013) - [c11]Ana González, Beatriz Remeseiro, Marcos Ortega, Manuel G. Penedo, Pablo Charlón:
Automatic cyst detection in OCT retinal images combining region flooding and texture analysis. CBMS 2013: 397-400 - [c10]Beatriz Remeseiro-López, Lucía Ramos, Noelia Barreira-Rodríguez, Antonio Mosquera González, Eva Yebra-Pimentel:
Colour Texture Segmentation of Tear Film Lipid Layer Images. EUROCAST (2) 2013: 140-147 - [c9]Rebeca Méndez, Beatriz Remeseiro, Diego Peteiro-Barral, Manuel G. Penedo:
Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification. ICAART (2) 2013: 62-70 - [c8]Rebeca Méndez, Beatriz Remeseiro, Diego Peteiro-Barral, Manuel G. Penedo:
Evaluation of Class Binarization and Feature Selection in Tear Film Classification using TOPSIS. ICAART (Revised Selected Papers) 2013: 179-193 - 2012
- [j1]Beatriz Remeseiro, Marta Penas, Antonio Mosquera González, Jorge Novo, Manuel Francisco González Penedo, Eva Yebra-Pimentel:
Statistical Comparison of Classifiers Applied to the Interferential Tear Film Lipid Layer Automatic Classification. Comput. Math. Methods Medicine 2012: 207315:1-207315:10 (2012) - [c7]Verónica Bolón-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño:
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test. ICTAI 2012: 359-366 - 2011
- [c6]Beatriz Remeseiro, Lucía Ramos, Marta Penas, Enrique Martínez, Manuel G. Penedo, Antonio Mosquera González:
Colour Texture Analysis for Classifying the Tear Film Lipid Layer: A Comparative Study. DICTA 2011: 268-273 - [c5]Lucía Ramos, Marta Penas, Beatriz Remeseiro, Antonio Mosquera González, Noelia Barreira, Eva Yebra-Pimentel:
Texture and Color Analysis for the Automatic Classification of the Eye Lipid Layer. IWANN (2) 2011: 66-73 - 2010
- [c4]V. Vivero, Noelia Barreira, Manuel G. Penedo, David Cabrero, Beatriz Remeseiro:
Directional Gaze Analysis in Webcam Video Sequences. ICIAR (2) 2010: 316-324 - [c3]David Calvo, Antonio Mosquera González, Marta Penas, Carlos García-Resúa, Beatriz Remeseiro:
Color Texture Analysis for Tear Film Classification: A Preliminary Study. ICIAR (2) 2010: 388-397
2000 – 2009
- 2009
- [c2]Beatriz Remeseiro, Noelia Barreira, David Calvo, Marcos Ortega, Manuel G. Penedo:
Automatic Drusen Detection from Digital Retinal Images: AMD Prevention. EUROCAST 2009: 187-194 - [c1]David Calvo, Marcos Ortega, Manuel G. Penedo, José Rouco, Beatriz Remeseiro:
Characterisation of Retinal Feature Points Applied to a Biometric System. ICIAP 2009: 355-363
Coauthor Index
aka: Manuel Francisco González Penedo
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