English version
Pedro Lind

Pedro Lind

Forskningsprosjekter

Vitenskapelige publikasjoner

Papanikolaou, Christos; Sharma, Akriti; Lind, Pedro ; Lencastre, Pedro (2024). Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses. Entropy. Vol. 26.
https://doi.org/10.3390/e26050392

Lencastre, Pedro; Lotfigolian, Maryam; Lind, Pedro (2024). Identifying Autism Gaze Patterns in Five-Second Data Records. Diagnostics (Basel). Vol. 14.
https://doi.org/10.3390/diagnostics14101047

Mathema, Rujeena; Lind, Pedro ; Lencastre, Pedro (2024). Exploring Human Cognition From Eye-Movements: Is There Unconscious Visual Information?. Association for, Computing Mach (Red.). ICDAR 2024 Proceedings. s. 19-26. Association for Computing Machinery.

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.
https://hdl.handle.net/11250/3142095

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

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

Upreti, Ramesh; Lind, Pedro ; Elmokashfi, Ahmed; 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

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.

Chatzis, Christos; Pfeffer, Max; Lind, Pedro ; Acar, Evrim (2023). A Time-Aware Tensor Decomposition for Tracking Evolving Patterns. IEEE Xplore Digital Library.
https://doi.org/10.1109/MLSP55844.2023.10285943

Zouganeli, Evi ; Yazidi, Anis ; Borges Moreno e Mello, Gustavo ; Lind, Pedro (2023). Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. ISBN: 9783031170294. 130 s. Springer Nature.
https://link.springer.com/book/9783031170317





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