Norwegian version
Pedro Lind

Pedro Lind

Research projects

Scientific publications

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.

Glover, Tom Eivind ; Lind, Pedro ; Yazidi, Anis ; Osipov, Evgeny; Nichele, Stefano (2023). Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. 42 p. Complex Systems. Vol. 32.

Rego Lencastre e Silva, Pedro ; 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.

Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro ; Haugerud, Hårek ; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (2023). Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach. 19 p. Sensors. Vol. 23.

Zouganeli, Evi ; Yazidi, Anis ; Borges Moreno e Mello, Gustavo ; Lind, Pedro (2023). Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. ISBN: 9783031170294. 130 p. Springer Nature.

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 p. Earth System Dynamics (ESD). Vol. 14.

Chatzis, Christos; Pfeffer, Max; Lind, Pedro ; Acar, Evrim (2023). A Time-Aware Tensor Decomposition for Tracking Evolving Patterns. IEEE Xplore Digital Library.

Rydin Gorjão, Leonardo; Witthaut, Dirk; Lind, Pedro (2023). jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets. 21 p. Journal of Statistical Software. Vol. 105.

Dumo, Glare Eugenio; Lind, Pedro ; Nichele, Stefano (2022). An HCI Experiment to Explore Interactive Artificial Life Art. Stephanidis, S; Antona, M; Ntoa, S (Ed.). HCI International 2022 Posters. p. 204-211. Springer.

Sequeira, Joao; Louca, Jorge; Mendes, Antonio; Lind, Pedro (2022). Using the Hurst Exponent and Entropy Measures to Predict Effective Transmissibility in Empirical Series of Malaria Incidence. 27 p. Applied Sciences. Vol. 12.

These publications are obtained from Cristin. The list may be incomplete