Fields of study
Academic disciplines
Research groups
Research projects
Ongoing research projects
-
AI-Mind
The goal of the research is to reduce the burden of dementia by developing novel, AI-based tools.
Completed research projects
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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
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;
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 p.
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 (Ed.).
ICDAR 2024 Proceedings. p. 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 p.
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
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 (Ed.). ICEE 2024 Proceedings. p. 597-602. Campus de Azurém, 4800-058, Guimarães, Portugal.
