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

Rego Lencastre e Silva, Pedro ; Mathema, Rujeena ; Lind, Pedro (2025). From eyes’ microtremors to critical flicker fusion. PLOS ONE. Vol. 20.
https://doi.org/10.1371/journal.pone.0325391

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

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

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

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

Glover, Tom Eivind ; Jahren, Christian Ruben; Francesco, Martinuzzi; Lind, Pedro ; Nichele, Stefano (2024). A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks. International Journal of Parallel, Emergent and Distributed Systems. Vol. 40.
https://doi.org/10.1080/17445760.2024.2396334

Takyi, Ebenezer; Lind, Pedro ; Russo, Ana (2024). A Markov-chain model for assessing heatwaves and droughts in Iberian Peninsula. Campus de Azurém, Guimaraes (Red.). ICEE 2024 Proceedings. s. 597-602. Campus de Azurém, 4800-058, Guimarães, Portugal.





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