Beatriz Remeseiro

70 papers B 9C 1Misc 3Journal 38Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Self-Supervised Approach for Enhanced Feature Representations in Object Detection Tasks. CoRR Santiago C. Vilabella, Pablo Pérez-Núñez, Beatriz Remeseiro
2026	J	`jnl`	Improving restaurant recommendation transparency through feature selection. Knowl. Inf. Syst. Roger Bagué-Masanés, Beatriz Remeseiro, Verónica Bolón-Canedo
2026	J	`jnl`	Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies. Expert Syst. J. Knowl. Eng. J. Guzmán Figueira-domínguez, Beatriz Remeseiro, Verónica Bolón-Canedo
2025	J	`jnl`	A multi-task framework for breast cancer segmentation and classification in ultrasound imaging. Comput. Methods Programs Biomed. Carlos Aumente-Maestro, Jorge Díez, Beatriz Remeseiro
2025	J	`jnl`	AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation. Comput. Methods Programs Biomed. Carlos Aumente-Maestro, Michael Müller, Beatriz Remeseiro, Jorge Díez, Mauricio Reyes
2025	J	`jnl`	BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning. Biomed. Signal Process. Control. Carlos Aumente-Maestro, David Rodriguez Gonzalez, David Martínez-Rego, Beatriz Remeseiro
2025	J	`jnl`	Bridging the quality gap: Robust colon wall segmentation in noisy transabdominal ultrasound. Comput. Biol. Medicine Lucas Gago, Miguel A. Fernández González, Justin Engelmann, Beatriz Remeseiro, Laura Igual
2025	—	`conf`	Mitigating Overfitting in Recommender Systems via Intra-domain Transfer Learning. IDEAL (2) Eva Blanco-Mallo, Pablo Pérez-Núñez, Verónica Bolón-Canedo, Beatriz Remeseiro
2025	J	`jnl`	Nutriconv: multitask learning framework for digital dietary tracking trained on EFSA's pancake dataset. Neural Comput. Appl. Enol Junquera, Noelia Rico, Irene Díaz, Sonia González, Beatriz Remeseiro
2025	J	`jnl`	Towards Explainable Personalized Recommendations by Learning from Users' Photos. CoRR Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
2024	B	`conf`	A Self-Supervised Approach for Enhanced Feature Representations in Object Detection Tasks. IJCNN Santiago C. Vilabella, Pablo Pérez-Núñez, Beatriz Remeseiro
2024	J	`jnl`	Deep-stratification of the cardiovascular risk by ultrasound carotid artery images. Biomed. Signal Process. Control. Maria del Mar Vila, Lucas Gago, Pablo Pérez-Sánchez, Maria Grau, Beatriz Remeseiro, Laura Igual
2024	J	`jnl`	Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection. IEEE Trans. Neural Networks Learn. Syst. Gonzalo de la Cruz, Madalena Lira, Oscar Luaces, Beatriz Remeseiro
2024	—	`conf`	Towards a Lightweight CNN for Semantic Food Segmentation. CIARP (1) Bastián Muñoz, Beatriz Remeseiro, Eduardo Aguilar
2023	C	`conf`	A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation. IDEAL Eva Blanco-Mallo, Verónica Bolón-Canedo, Beatriz Remeseiro
2023	J	`jnl`	All-in-one picture: visual summary of items in a recommender system. Neural Comput. Appl. Pablo Pérez-Núñez, Jorge Díez, Beatriz Remeseiro, Oscar Luaces, Antonio Bahamonde
2023	J	`jnl`	Do all roads lead to Rome? Studying distance measures in the context of machine learning. Pattern Recognit. Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo
2023	J	`jnl`	Users' photos of items can reveal their tastes in a recommender system. Inf. Sci. Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
2022	J	`jnl`	An end-to-end framework for intima media measurement and atherosclerotic plaque detection in the carotid artery. Comput. Methods Programs Biomed. Lucas Gago, Maria del Mar Vila, Maria Grau, Beatriz Remeseiro, Laura Igual
2022	J	`jnl`	Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva
2022	J	`jnl`	Correction to: Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. Neural Comput. Appl. David Morales, Estefanía Talavera, Beatriz Remeseiro
2022	B	`conf`	The role of feature selection in personalized recommender systems. ESANN Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro
2022	B	`conf`	When the best reviews are not placed between extremes. IJCNN Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo
2021	J	`jnl`	Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation. Vis. Comput. Beatriz Remeseiro, Ana Maria Mendonça, Aurélio Campilho
2021	J	`jnl`	Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. Neural Comput. Appl. David Morales, Estefanía Talavera, Beatriz Remeseiro
2020	J	`jnl`	DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Margaríta Torre, Beatriz Remeseiro, Petia Radeva, Fernando Martínez
2020	J	`jnl`	Feature selection in image analysis: a survey. Artif. Intell. Rev. Verónica Bolón-Canedo, Beatriz Remeseiro
2020	J	`jnl`	On the effectiveness of convolutional autoencoders on image-based personalized recommender systems. CoRR Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2020	J	`jnl`	Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. CoRR David Morales, Estefanía Talavera, Beatriz Remeseiro
2020	J	`jnl`	Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation. Artif. Intell. Medicine Maria del Mar Vila, Beatriz Remeseiro, Maria Grau, Roberto Elosua, Àngels Betriu, Elvira Fernandez-Giraldez, Laura Igual
2020	J	`jnl`	Towards explainable personalized recommendations by learning from users' photos. Inf. Sci. Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
2019	J	`jnl`	A review of feature selection methods in medical applications. Comput. Biol. Medicine Beatriz Remeseiro, Verónica Bolón-Canedo
2018	—	`conf`	A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees. ICIAR Stefan Schurischuster, Beatriz Remeseiro, Petia Radeva, Martin Kampel
2018	—	`conf`	Feature Selection for Big Visual Data: Overview and Challenges. ICIAR Verónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela
2018	J	`jnl`	Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. IEEE Trans. Multim. Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva
2017	B	`conf`	Algorithmic challenges in big data analytics. ESANN Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos
2017	—	`conf`	Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. ICIAP Workshops Pedro Herruzo, Laura Portell, Alberto Soto, Beatriz Remeseiro
2017	J	`jnl`	Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. CoRR Pedro Herruzo, Laura Portell, Alberto Soto, Beatriz Remeseiro
2017	—	`conf`	Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. Computer-Aided Diagnosis Ana Maria Mendonça, Beatriz Remeseiro, Behdad Dashtbozorg, Aurélio Campilho
2017	J	`jnl`	Evaluation of an automatic dry eye test using MCDM methods and rank correlation. Medical Biol. Eng. Comput. Diego Peteiro-Barral, Beatriz Remeseiro, Rebeca Méndez, Manuel G. Penedo
2017	J	`jnl`	Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants. CoRR Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva
2017	B	`conf`	Objective quality assessment of retinal images based on texture features. IJCNN Beatriz Remeseiro, Ana Maria Mendonça, Aurélio J. C. Campilho
2017	J	`jnl`	Parallel definition of tear film maps on distributed-memory clusters for the support of dry eye diagnosis. Comput. Methods Programs Biomed. Jorge González-Domínguez, Beatriz Remeseiro, María J. Martín
2016	Misc	`conf`	Acceleration of Tear Film Map Definition on Multicore Systems. ICCS Jorge González-Domínguez, Beatriz Remeseiro, María J. Martín
2016	J	`jnl`	CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps. IEEE J. Biomed. Health Informatics Beatriz Remeseiro, Antonio Mosquera González, Manuel G. Penedo
2016	B	`conf`	Machine learning for medical applications. ESANN Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho
2016	J	`jnl`	iDEAS: A web-based system for dry eye assessment. Comput. Methods Programs Biomed. Beatriz Remeseiro, Noelia Barreira, Carlos García-Resúa, Madalena Lira, María Jesús Giráldez Fernández, Eva Yebra-Pimentel, Manuel G. Penedo
2015	—	`conf`	A Texture-Based Method for Choroid Segmentation in Retinal EDI-OCT Images. EUROCAST Ana González-López, Beatriz Remeseiro, Marcos Ortega, Manuel G. Penedo, Pablo Charlón
2015	—	`conf`	Automatic Eye Blink Detection Using Consumer Web Cameras. IWANN (2) Beatriz Remeseiro, Alba Fernández, Madalena Lira
2015	J	`jnl`	Automatic grading system for human tear films. Pattern Anal. Appl. Beatriz Remeseiro, Katherine M. Oliver, Alan Tomlinson, Eilidh Martin, Noelia Barreira, Antonio Mosquera González
2015	—	`conf`	Choroid Characterization in EDI OCT Retinal Images Based on Texture Analysis. ICAART (2) Ana González-López, Beatriz Remeseiro, Marcos Ortega, Manuel G. Penedo
2015	B	`conf`	Learning features on tear film lipid layer classification. ESANN Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo
2015	J	`jnl`	Real-Time Tear Film Classification Through Cost-Based Feature Selection. Trans. Comput. Collect. Intell. Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2014	J	`jnl`	A Methodology for Improving Tear Film Lipid Layer Classification. IEEE J. Biomed. Health Informatics Beatriz Remeseiro, Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
2014	—	`conf`	Automatic Tear Film Segmentation Based on Texture Analysis and Region Growing. ICIAR (2) Beatriz Remeseiro, Katherine M. Oliver, Eilidh Martin, Alan Tomlinson, Daniel G. Villaverde, Manuel G. Penedo
2014	—	`conf`	Feature Selection Applied to Human Tear Film Classification. ICAART (1) Daniel G. Villaverde, Beatriz Remeseiro, Noelia Barreira, Manuel G. Penedo, Antonio Mosquera González
2014	—	`conf`	Tear Film Maps based on the Lipid Interference Patterns. ICAART (1) Beatriz Remeseiro, Antonio Mosquera González, Manuel G. Penedo, Carlos García-Resúa
2014	—	`conf`	mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection. ICAART (1) Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2013	J	`jnl`	Automatic classification of the interferential tear film lipid layer using colour texture analysis. Comput. Methods Programs Biomed. Beatriz Remeseiro, Marta Penas, Noelia Barreira, Antonio Mosquera González, Jorge Novo, Carlos García-Resúa
2013	B	`conf`	Automatic cyst detection in OCT retinal images combining region flooding and texture analysis. CBMS Ana González, Beatriz Remeseiro, Marcos Ortega, Manuel G. Penedo, Pablo Charlón
2013	—	`conf`	Evaluation of Class Binarization and Feature Selection in Tear Film Classification using TOPSIS. ICAART (Revised Selected Papers) Rebeca Méndez, Beatriz Remeseiro, Diego Peteiro-Barral, Manuel G. Penedo
2013	—	`conf`	Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification. ICAART (2) Rebeca Méndez, Beatriz Remeseiro, Diego Peteiro-Barral, Manuel G. Penedo
2012	B	`conf`	Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test. ICTAI Verónica Bolón-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
2012	J	`jnl`	Statistical Comparison of Classifiers Applied to the Interferential Tear Film Lipid Layer Automatic Classification. Comput. Math. Methods Medicine Beatriz Remeseiro, Marta Penas, Antonio Mosquera González, Jorge Novo, Manuel Francisco González Penedo, Eva Yebra-Pimentel
2011	Misc	`conf`	Colour Texture Analysis for Classifying the Tear Film Lipid Layer: A Comparative Study. DICTA Beatriz Remeseiro, Lucía Ramos, Marta Penas, Enrique Martínez, Manuel G. Penedo, Antonio Mosquera González
2011	—	`conf`	Texture and Color Analysis for the Automatic Classification of the Eye Lipid Layer. IWANN (2) Lucía Ramos, Marta Penas, Beatriz Remeseiro, Antonio Mosquera González, Noelia Barreira, Eva Yebra-Pimentel
2010	—	`conf`	Color Texture Analysis for Tear Film Classification: A Preliminary Study. ICIAR (2) David Calvo, Antonio Mosquera González, Marta Penas, Carlos García-Resúa, Beatriz Remeseiro
2010	—	`conf`	Directional Gaze Analysis in Webcam Video Sequences. ICIAR (2) V. Vivero, Noelia Barreira, Manuel G. Penedo, David Cabrero, Beatriz Remeseiro
2009	—	`conf`	Automatic Drusen Detection from Digital Retinal Images: AMD Prevention. EUROCAST Beatriz Remeseiro, Noelia Barreira, David Calvo, Marcos Ortega, Manuel G. Penedo
2009	Misc	`conf`	Characterisation of Retinal Feature Points Applied to a Biometric System. ICIAP David Calvo, Marcos Ortega, Manuel G. Penedo, José Rouco, Beatriz Remeseiro