Research groups
Research projects
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AI-Mind
The goal of the research is to reduce the burden of dementia by developing novel, AI-based tools.
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The technology and knowledge transfer based on Norway-Czech cooperation
The project focuses on the transfer of technology, intellectual property protection and support of spin-off companies.
Publications and research
Scientific publications
Mathema, Rujeena; Lind, Pedro ; Lencastre, Pedro (2024). Exploring Human Cognition From Eye-Movements: Is There Unconscious Visual Information?. Association for, Computing Mach (Ed.). ICDAR 2024 Proceedings. p. 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
Ojha, Jaya;
Haugerud, Hårek
;
Yazidi, Anis
;
Lind, Pedro
(2024).
Exploring Interpretable AI Methods for ECG Data Classification.
Association for, Computing Mach (Ed.).
ICDAR 2024 Proceedings. p. 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
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
Takyi, Ebenezer; Lind, Pedro ; Russo, Ana (2024). A Markov-chain model for assessing heatwaves and droughts in Iberian Peninsula. Campus de Azurém, Guimaraes (Ed.). ICEE 2024 Proceedings. p. 597-602. Campus de Azurém, 4800-058, Guimarães, Portugal.
Srinivasan, Sabarathinam; Kumarasamy, Suresh;
Andreadakis, Zacharias
;
Lind, Pedro
(2023).
Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey.
Energies.
Vol. 16.
https://doi.org/10.3390/en16145383
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
