Forskningsgrupper
Forskningsprosjekter
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AI-Mind
Prosjektet har som mål å redusere utfordringene ved demens med å utvikle nye diagnostiserende verktøy og forbedre effektiviteten i helsesystemet.
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Teknologi og kunnskapsoverføring basert på samarbeid mellom Tsjekkia og Norge
Dette samarbeidsprosjektet mellom OsloMet og universitetet Hradec Králové i Tsjekkia vil utveksle erfaringer med teknologi- og kunnskapsoverføring.
Publikasjoner og forskningsresultater
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
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.
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.
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
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
Riechers, Keno; Rydin Gorjão, Leonardo; Hassanibesheli, Forough;
Lind, Pedro
; Witthaut, Dirk; Boers, Niklas
(2023).
Stable stadial and interstadial states of the last glacial's climate identified in a combined stable water isotope and dust record from Greenland.
14 s.
Earth System Dynamics (ESD).
Vol. 14.
https://doi.org/10.5194/esd-14-593-2023