Conference papers

2020 – today

  • E. Blanco-Mallo, V. Bolón-Canedo, B. Remeseiro. Do not get lost in projection: finding the right distance for meaningful UMAP embeddings. 33th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 123-128, 2025. [PDF]
  • B. Muñoz, B. Remeseiro, E. Aguilar. Towards a lightweight CNN for semantic food segmentation. Lecture Notes in Computer Science: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, vol. 15368, pp. 1-15, 2024. [DL]
  • S. C. Vilabella, P. Pérez-Núñez, B. Remeseiro. A Self-Supervised Approach for Enhanced Feature Representations in Object Detection Tasks. International Joint Conference on Neural Networks, pp. 1-8, 2024. [DL]
  • E. Blanco-Mallo, V. Bolón-Canedo, B. Remeseiro. A pseudo-label guided hybrid approach for unsupervised domain adaptation. Lecture Notes in Computer Science: Intelligent Data Engineering and Automated Learning, vol. 14404, pp. 22-27, 2023. [DL]
  • R. Bagué-Masanés, Verónica Bolón-Canedo, B. Remeseiro. The role of feature selection in personalized recommender systems. 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 55-60, 2022. [PDF]
  • E. Blanco-Mallo, J. Carneiro, G. Marreiros, B. Remeseiro, V. Bolón-Canedo. When the best reviews are not placed between extremes. International Joint Conference on Neural Networks, pp. 1-8, 2022. [DL]

2010 – 2019

  • P. Herruzo, L. Portell, A. Soto, B. Remeseiro. Towards Objective Description of Eating, Socializing and Sedentary Lifestyle Patterns in Egocentric Images. Workshop on Applications of Egocentric Vision – BMVC Workshops, pp. 1-11, 2019. [PDF]
  • S. Schurischuster, B. Remeseiro, P. Radeva, M. Kampel. A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees. Lecture Notes in Computer Science: International Conference on Image Analysis and Recognition, vol. 10882, pp. 465-473, 2018. [DL]
  • V. Bolón-Canedo, B. Remeseiro, B. Cancela. Feature Selection for Big Visual Data: Overview and Challenges. Lecture Notes in Computer Science: International Conference on Image Analysis and Recognition, vol. 10882, pp. 136-143, 2018. [DL]
  • P. Herruzo, L. Portell, A. Soto, B. Remeseiro. Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. Lecture Notes in Computer Science: New Trends In Image Analysis and Processing, vol. 10590, pp. 109-119, 2017. [DL] [PDF]
  • B. Remeseiro, A. M. Mendonça, A. Campilho. Objective Quality Assessment of Retinal Images Based on Texture Features. International Joint Conference on Neural Networks, pp. 4520-4527, 2017. [DL]
  • A. M. Mendonça, B. Remeseiro, B. Dashtbozorg, A. Campilho. Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. SPIE Medical Imaging 2017: Computer-Aided Diagnosis, vol. 10134, pp. 101341L1-101341L7, 2017. [DL]
  • V. Bolon-Canedo, B. Remeseiro, K. Sechidis, D. Martinez-Rego, A. Alonso-Betanzos. Algorithmic challenges in Big Data analytics. 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 519-527, 2017. [DL]
  • J. González-Domínguez, B. Remeseiro, M. J. Martín. Acceleration of Tear Film Map Definition on Multicore Systems. International Conference on Computational Science, vol. 80, pp. 41-51, 2016. [DL]
  • V. Bolón-Canedo, B. Remeseiro, A. Alonso-Betanzos, A. Campilho. Machine learning for medical applications. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 225-234, 2016. [DL]
  • B. Remeseiro, A. Fernández, M. Lira. Automatic eye blink detection using consumer web cameras. Lecture Notes in Computer Science: Advances in Computational Intelligence, International Work Conference on Artificial Neural Networks, vol. 9095, pp. 103-114, 2015. [DL]
  • B. Remeseiro, V. Bolón-Canedo, A. Alonso-Betanzos, M. G. Penedo. Learning features on tear film lipid layer classification. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 355-360, 2015. [DL]
  • A. González, B. Remeseiro, M. Ortega, M. G. Penedo. Choroid Characterization in EDI OCT Retinal Images Based on Texture Analysis. 7th International Conference on Agents and Artificial Intelligence, vol. 2, pp. 269-276, 2015.
  • B. Remeseiro, K.M. Oliver, E. Martin, A. Tomlinson, D.G. Villaverde, M.G. Penedo. Automatic tear film segmentation based on texture analysis and region growing. Lecture Notes in Computer Science: International Conference on Image Analysis and Recognition, vol. 8815 (II), pp. 185-192, 2014. [DL]
  • D.G. Villaverde, B. Remeseiro, N. Barreira, M. G. Penedo, A. Mosquera. Feature selection applied to human tear film classification. 6th International Conference on Agents and Artificial Intelligence, vol. 1, pp. 395-402, 2014.
  • B. Remeseiro, A. Mosquera, M. G. Penedo, C. García-Resúa. Tear film maps based on the lipid interference patterns. 6th International Conference on Agents and Artificial Intelligence, vol. 1, pp. 732-739, 2014.
  • V. Bolón-Canedo, B. Remeseiro, N. Sánchez-Maroño, A. Alonso-Betanzos. mC-ReliefF: An Extension of ReliefF for Cost-Based Feature Selection. 6th International Conference on Agents and Artificial Intelligence, vol. 1, pp. 42-51, 2014.
  • A. González, B. Remeseiro, M. Ortega, M. G. Penedo, P. Charlón, Automatic Cyst Detection in OCT Retinal Images Combining Region Flooding and Texture Analysis. 26th IEEE International Symposium on Computer-Based Medical Systems, vol. 13, pp. 397-400, 2013. [DL]
  • R. Méndez, B. Remeseiro, D. Peteiro-Barral, M.G. Penedo. Multi-criteria evaluation of class binarization and feature selection in tear film lipid layer classification. 5th International Conference on Agents and Artificial Intelligence, vol. 2, pp. 62-70, 2013.
  • V. Bolón-Canedo, D. Peteiro-Barral, B. Remeseiro, A. Alonso-Betanzos, B. Guijarro-Berdiñas, A. Mosquera, M.G. Penedo, N. Sánchez-Maroño. Interferential Tear Film Lipid Layer Classification: an Automatic Dry Eye Test. IEEE 24th International Conference on Tools with Artificial Intelligence, 359-366, 2012. [DL]
  • B. Remeseiro, L. Ramos, M. Penas, E. Martínez, M.G. Penedo, A. Mosquera. Colour texture analysis for classifying the tear film lipid layer: a comparative study. International Conference on Digital Image Computing: Techniques and Applications, pp. 268-273, 2011. [DL]
  • L. Ramos, M. Penas, B. Remeseiro, A. Mosquera, N. Barreira, E. Yebra-Pimentel. Texture and color analysis for the automatic classification of the eye lipid layer. Lecture Notes in Computer Science: Advances in Computational Intelligence, International Work Conference on Artificial Neural Networks, vol. 6692, pp. 66-73, 2011. [DL]

2000 – 2009

  • D. Calvo, M. Ortega, M.G. Penedo, J. Rouco, B. Remeseiro. Characterisation of retinal feature points applied to a biometric system. Lecture Notes in Computer Science: International Conference on Image Analysis and Processing, vol. 5716, pp. 355-363, 2009. [DL]
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