Forskningsgrupper
Forskningsprosjekter
Aktive forskningsprosjekter
-
AI-Mind
Prosjektet har som mål å redusere utfordringene ved demens med å utvikle nye diagnostiserende verktøy og forbedre effektiviteten i helsesystemet.
Avsluttede forskningsprosjekter
-
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
Kasahara, Yuri; Schroeder, Daniel Thilo;
Yazidi, Anis
;
Lind, Pedro G.
(2026).
The Dynamics of Hate Speech: Assessing Anti-Muslim Hate Speech in Norwegian Social Media.
Social science computer review.
https://doi.org/10.1177/08944393261417730
Riechers, Keno; Morr, Andreas; Lehnertz, Klaus;
Lind, Pedro G.
; Boers, Niklas; Witthaut, Dirk; Gorjão, Leonardo Rydin
(2025).
Discontinuous stochastic forcing in Greenland ice core data.
Climate Dynamics.
Vol. 63.
https://doi.org/10.1007/s00382-025-07880-9
Lencastre, Pedro; Bystryk, Yurii S.; Yazidi, Anis; Denisov, Sergey;
Lind, Pedro G.
(2025).
Dynamical law behind eye movements: Distinguishing between Lévy and intermittent strategies.
Physical Review Research (PRResearch).
Vol. 7.
https://doi.org/10.1103/2bzm-t9k1
Silva, Pedro Rego Lencastre e; Devkota, Ananta;
Bhandari, Shailendra
;
Kuriakose, Bineeth
;
Lind, Pedro
(2025).
Comparing eye-tracking time series imaging methods in ADHD screening.
Proceedings of the International Joint Conference on Neural Networks.
https://doi.org/10.1109/ijcnn64981.2025.11228340
Ojha, Jaya; Presacan, Oriana;
Lind, Pedro G.
; Monteiro, Eric; Yazidi, Anis
(2025).
Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare.
ACM Transactions on Computing for Healthcare (HEALTH).
Vol. 6.
https://doi.org/https://dl.acm.org/doi/10.1145/371
Khadka, Rabindra
; Sengupta, Poushali;
Lind, Pedro
;
Yazidi, Anis
(2025).
Quantization of Vision Transformer-Based Model for Real-Time EEG Classification.
gupta, Kishor Deep; Bhurchandi, Subrahmanyam; Murala, Balasubramanian; Raman, Sanjeev Kumar (Red.).
Computer Vision and Image Processing. s. 17-27.
Springer Nature.
https://doi.org/10.1007/978-3-031-86240-3_2
Oriioma, Charles; Krivan, Josef Jan;
Mathema, Rujeena
; Silva, Pedro Rego Lencastre e;
Lind, Pedro
; Szorkovszky, Alexander;
Bhandari, Shailendra
(2025).
Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method.
arXiv.
https://doi.org/10.48550/ARXIV.2512.23926
Budhathoki, Anup; Gorjão, Leonardo Rydin;
Lind, Pedro
;
Bhandari, Shailendra
(2025).
Jump-diffusion models of parametric volume-price distributions.
arXiv.
https://doi.org/10.48550/ARXIV.2511.16838
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
; Nichele, Stefano;
Denysov, Sergiy
;
Lind, Pedro
(2025).
Optimizing Quantum Circuits with Evolutionary Algorithms for Stable Boolean Gates, Elementary Cellular Automata, and Highly Entangled Quantum States.
International Journal of Unconventional Computing.
Vol. 20.
https://doi.org/10.32908/ijuc.v20.270425