English version
Pedro Lind

Pedro Lind

Fagområder

Vitenskapsdisipliner

Fysikk   Datateknologi

Forskningsprosjekter

Aktive forskningsprosjekter

  • AI-Mind

    Prosjektet har som mål å redusere utfordringene ved demens med å utvikle nye diagnostiserende verktøy og forbedre effektiviteten i helsesystemet.

Avsluttede forskningsprosjekter

Vitenskapelige publikasjoner

Belhadi, Asma ; Lind, Pedro ; Djenouri, Youcef; Yazidi, Anis (2025). Enhanced visibility graph for EEG classification. Frontiers in Neuroscience. Vol. 19.
https://doi.org/10.3389/fnins.2025.1541062

Khadka, Rabindra ; Lind, Pedro ; Yazidi, Anis ; Belhadi, Asma (2025). DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications. SoftwareX. Vol. 30.
https://doi.org/10.1016/j.softx.2025.102140

Bhandari, Shailendra ; Rego Lencastre e Silva, Pedro ; Mathema, Rujeena ; Szorkovszky, Alexander; Yazidi, Anis ; Lind, Pedro (2025). Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity. Scientific Reports. Vol. 15.
https://doi.org/10.1038/s41598-025-05286-5

Beims, Marcus W.; Lind, Pedro ; Pöschel, Thorsten; Tél, Támas; Vincze, Miklós; Wolf, Dietrich E. (2025). Imre M. Jánosi (1963-2023). Chaos. Vol. 35.
https://doi.org/10.1063/5.0274421

Bhandari, Shailendra ; Lencastre, Pedro; Denysov, Sergiy ; Bystryk, Yurii; Lind, Pedro (2025). IntLevPy: A Python library to classify and model intermittent and Lévy processes. arXiv.org.
https://doi.org/https://doi.org/10.48550/arXiv.250

Bhandari, Shailendra ; Lencastre, Pedro; Lind, Pedro (2024). Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models. 8 s. Association for Computing Machinery.
https://doi.org/10.1145/3638530.3664134

Ojha, Jaya; Haugerud, Hårek ; Yazidi, Anis ; Lind, Pedro (2024). Exploring Interpretable AI Methods for ECG Data Classification. Association for, Computing Mach (Red.). ICDAR 2024 Proceedings. s. 11-18. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3643488.3660294

Rego Lencastre e Silva, Pedro ; Yazidi, Anis ; Lind, Pedro (2024). Modeling Wind-Speed Statistics beyond the Weibull Distribution. 11 s. Energies. Vol. 17.
https://doi.org/10.3390/en17112621

Upreti, Ramesh; Lind, Pedro ; Elmokashfi, Ahmed Mustafa Abdalla; Yazidi, Anis (2024). Trustworthy machine learning in the context of security and privacy. International Journal of Information Security. Vol. 23.
https://doi.org/10.1007/s10207-024-00813-3

Bhandari, Shailendra ; Nichele, Stefano ; Denysov, Sergiy ; Lind, Pedro (2024). How quantum and evolutionary algorithms can help each other: two examples. arXiv.
https://doi.org/10.48550/arXiv.2408.00448





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