Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Bhandari, Shailendra
;
Silva, Pedro Rego Lencastre e
;
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
Silva, Pedro Rego Lencastre e
;
Mathema, Rujeena
;
Lind, Pedro
(2025).
From eyes’ microtremors to critical flicker fusion.
PLOS ONE.
Vol. 20.
https://doi.org/10.1371/journal.pone.0325391
Bhandari, Shailendra
;
Silva, Pedro Rego Lencastre e
;
Denysov, Sergiy
;
Lind, Pedro
(2025).
IntLevPy: A Python library to classify and model intermittent and Lévy processes.
SoftwareX.
Vol. 31.
https://doi.org/10.1016/j.softx.2025.102334
Bhandari, Shailendra
;
Silva, Pedro Rego Lencastre e
;
Lind, Pedro
(2024).
Modeling stochastic eye tracking data: A comparison of quantum
generative adversarial networks and Markov models.
Association for Computing Machinery.
https://doi.org/10.1145/3638530.3664134
Silva, Pedro Rego Lencastre e
;
Yazidi, Anis
;
Lind, Pedro
(2024).
Modeling Wind-Speed Statistics beyond the Weibull Distribution.
Energies.
Vol. 17.
https://doi.org/10.3390/en17112621
Silva, Pedro Rego Lencastre e
;
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
;
Silva, Pedro Rego Lencastre e
(2024).
Exploring Human Cognition From Eye-Movements: Is There Unconscious Visual Information?.
for, Computing Mach Association (Red.).
ICDAR 2024 Proceedings. s. 19-26.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3643488.3660307
Papanikolaou, Christos; Sharma, Akriti;
Lind, Pedro
;
Silva, Pedro Rego Lencastre e
(2024).
Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses.
Entropy.
Vol. 26.
https://doi.org/10.3390/e26050392
Silva, Pedro Rego Lencastre e
; Gjersdal, Marit Øye; Gorjão, Leonardo Rydin;
Yazidi, Anis
;
Lind, Pedro
(2023).
Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?.
Physica D : Non-linear phenomena.
Vol. 453.
https://doi.org/10.1016/j.physd.2023.133831
