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A
Alarcón E, Bragos R, Sayrol E. Learning to conceive, design, implement and operate circuits and systems. In 2011 IEEE International Symposium on Circuits and Systems. 2011. pp. 1183–1186.
D
de Oliveira-Barra G, Lux M, Giró-i-Nieto X. Large Scale Content-Based Video Retrieval with LIvRE. In 14th International Workshop on Content-based Multimedia Indexing (CBMI). Bucharest, Romania: IEEE; 2016.  (909.81 KB)
de Oliveira-Barra G, Giró-i-Nieto X, Cartas-Ayala A, Radeva P. LEMoRe: A Lifelog Engine for Moments Retrieval at the NTCIR-Lifelog LSAT Task. In The 12th NTCIR Conference, Evaluation of Information Access Technologies. Tokyo, Japan: National Institute of Informatics (NII); 2016.  (3.22 MB)
de Oliveira-Barra G. LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System. Giró-i-Nieto X, Lux M. 2015.  (8.3 MB)
F
Fernàndez D, Bou-Balust E, Giró-i-Nieto X. Linking Media: adopting Semantic Technologies for multimodal media connection. In International Semantic Web Conference - ISWC (Industry Track). Monterey, CA, USA; 2018.  (265.23 KB)
Figueras P, Haas C, Capdevila C, Vilaplana V. Las Mancomunidades en España. Boletí de la Asociación de Geógrafos Españoles. 2005;:151–176.
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Gené-Mola J, Ferrer-Ferrer M, Gregorio E, Blok PM, Hemming J, Morros JR, et al.. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture. 2023;209.  (9.02 MB)
Giró-i-Nieto X. Learning Where and When to Look. 2018.
Giró-i-Nieto X, Pascual-deLaPuente S, Miró V, Esteve O. La meitat de les notícies que consumirem el 2022 seran falses. Sant Joan Despí: Corporació Catalana de Mitjans Audiovisuals; 2017.
Giró-i-Nieto X. La convergència de la TV cap al PC. Barcelona, Catalonia: Diari Avui; 2004 .
Giró-i-Nieto X. Learning Representations for Sign Language Videos. 2021.
Górriz M, Aparicio A, Raventós B, Vilaplana V, Sayrol E, López-Codina D. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In Articulated Motion and Deformable Objects. Springer International Publishing; 2018. pp. 53-62.
Górriz M, Aparicio A, Raventós B, López-Codina D, Vilaplana V, Sayrol E. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In International Conference on Articulated Motion and Deformable Objects. Palma, Spain; 2018.
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Johansen H, Joho H, et al.. LTA 2016 - The First Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016.  (385.75 KB)
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Dang-Nguyen D-T, Joho H. LTA 2017: The Second Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Mountain View, California USA: ACM; 2017.  (309.94 KB)
L
Lo Anguera J, Ruiz-Hidalgo J, Solé A, Casas J, Lázaro JA, Sarmiento S, et al.. Leveraging Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In IEEE International Conference on Machine Learning for Communication and Networking. Barcelona: IEEE; 2025.  (1.41 MB)
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Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
Pina O, Vilaplana V. Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems,. 2025;.

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