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2022
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, et al.. Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022.  (2.34 MB)
Bartusiak E, Barrabés M, Rymbe A, Gimbernat J, López C, Barberis L, et al.. Predicting Dog Phenotypes from Genotypes. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.  (1.17 MB)
2024
Lázaro JA, Casas J, Ruiz-Hidalgo J, Cortada-Garcia M, Martín-Pey G, Salavedra-Pujol J, et al.. 6G-EWOC: Crowdsourced SLAM Data Fusion for Safe and Efficient ADAS Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (2.73 MB)
Lázaro JA, Casas J, Ruiz-Hidalgo J, Cortada-Garcia M, Martín-Pey G, Salavedra-Pujol J, et al.. 6G-EWOC: Crowdsourced SLAM Data Fusion for Safe and Efficient ADAS Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (2.73 MB)
Schrenk B, Theodoropoulou E, Lyberopoulos G, Marcus C, Eriksson O, Lázaro JA, et al.. 6G-EWOC: Optical Wireless Communication in Support of Autonomous Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (1.22 MB)
Schrenk B, Theodoropoulou E, Lyberopoulos G, Marcus C, Eriksson O, Lázaro JA, et al.. 6G-EWOC: Optical Wireless Communication in Support of Autonomous Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (1.22 MB)
Dios F, Torres-Benito S, Lázaro JA, Casas J, Pinazo J, Lerín A. Experimental evaluation of a MIMO radar performance for ADAS application. Telecom. 2024;5(3):508-521.  (1.15 MB)
Dios F, Torres-Benito S, Lázaro JA, Casas J, Pinazo J, Lerín A. Experimental evaluation of a MIMO radar performance for ADAS application. Telecom. 2024;5(3):508-521.  (1.15 MB)
Theodoropoulou E, Lyberopoulos G, Setaki F, García-Gómez P, Royo S, Marcus C, et al.. Towards AI-Enhanced Fibre-Wireless Optical 6G Network in Support of Connected Mobility. In IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Athens: IEEE; 2024.  (1.13 MB)
Theodoropoulou E, Lyberopoulos G, Setaki F, García-Gómez P, Royo S, Marcus C, et al.. Towards AI-Enhanced Fibre-Wireless Optical 6G Network in Support of Connected Mobility. In IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Athens: IEEE; 2024.  (1.13 MB)
2025
Wang M, Li D, Casas J, Ruiz-Hidalgo J. Adaptive Fusion of LiDAR Features for 3D Object Detection in Autonomous Driving. Sensors. 2025;25(13).  (4.09 MB)
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)
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)
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)
Lo Anguera J, Lázaro JA, Ruiz-Hidalgo J, Solé A, Casas J, Sarmiento S, et al.. Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In 1st Intl. Workshop on Quantum Computing and Artificial Intelligence (QC+AI 2025) . Philadelphia: Association for the Advancement of Artificial Intelligence (AAAI); 2025.  (851.1 KB)
Lo Anguera J, Lázaro JA, Ruiz-Hidalgo J, Solé A, Casas J, Sarmiento S, et al.. Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In 1st Intl. Workshop on Quantum Computing and Artificial Intelligence (QC+AI 2025) . Philadelphia: Association for the Advancement of Artificial Intelligence (AAAI); 2025.  (851.1 KB)
Lo Anguera J, Lázaro JA, Ruiz-Hidalgo J, Solé A, Casas J, Sarmiento S, et al.. Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In 1st Intl. Workshop on Quantum Computing and Artificial Intelligence (QC+AI 2025) . Philadelphia: Association for the Advancement of Artificial Intelligence (AAAI); 2025.  (851.1 KB)
Lems CM, Klubíčková N, Brattoli B, Lee T, Vilaplana V, Fernández PLuis, et al.. Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study. In United States & Canadian Academy of Pathology 114th Annual Meeting (USCAP 2025). Boston, USA: Laboratory Investigation, Volume 105, Issue 3, Supplement, 2025, 103609, ISSN 0023-6837; 2025.
Lems CM, Klubíčková N, Brattoli B, Lee T, Vilaplana V, Fernández PLuis, et al.. Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study. In United States & Canadian Academy of Pathology 114th Annual Meeting (USCAP 2025). Boston, USA: Laboratory Investigation, Volume 105, Issue 3, Supplement, 2025, 103609, ISSN 0023-6837; 2025.
Manjabacas A, Chic O, García-Ladona E, Tuset VM, Morros JR, Sayrol E, et al.. Twenty years of AFORO: New developments and connections enhancing otolith research. Fisheries Research. 2025;281.
Lázaro JAntonio, Casas J, Royo S, Ruiz-Hidalgo J, Fàbrega JM, Martínez R, et al.. Verifying Key Performance Indicators across Multiple 6G-EWOC Demonstrations. In European Conference on Networks and Communications (EuCNC) . Poznan, Poland: IEEE; 2025.  (333.96 KB)

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