Pedro Lind

Vitenskapelige publikasjoner

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

Rego Lencastre e Silva, Pedro ; Gjersdal, Marit; 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

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 s. Sensors. Vol. 23.
https://doi.org/10.3390/s23083877

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 s. Sensors. Vol. 23.
https://doi.org/10.3390/s23083877

Maratova, Assem; Lencastre, Pedro; Yazidi, Anis ; Lind, Pedro (2023). Comparative Analysis of Functional Connectivity Metrics in EEG Datasets. IEEE Signal Processing in Medicine and Biology Symposium (SPMB).
https://doi.org/10.1109/SPMB55497.2022.10014890

Zouganeli, Evi ; Yazidi, Anis ; Mello, Gustavo Borges Moreno E; 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 s. Springer Nature.
https://link.springer.com/book/9783031170317

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 s. Journal of Statistical Software. Vol. 105.
https://doi.org/10.18637/jss.v105.i04

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 s. Earth System Dynamics (ESD). Vol. 14.
https://doi.org/10.5194/esd-14-593-2023

Schroeder, Daniel Thilo; Langguth, Johannes; Burchard, Luk; Pogorelov, Konstantin; Lind, Pedro (2022). The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena. Scientific Reports. Vol. 12.
https://doi.org/10.1038/s41598-022-07961-3

Bhandari, Shailendra ; Overskott, Sebastian Testanière; Adamopoulos, Ioannis; Lind, Pedro ; Denysov, Sergiy ; Nichele, Stefano (2022). Evolving Quantum Circuits to Implement Stochastic and Deterministic Cellular Automata Rules. Chopard, Bastien; Bandini, Stefania; Dennunzio, Alberto; Arabi Haddad, Mira (Red.). Cellular Automata, 15th International Conference on Cellular Automata for Research and Industry, ACRI 2022, Geneva, Switzerland, September 12–15, 2022, Proceedings. s. 119-129. Springer.
https://doi.org/doi.org/10.1007/978-3-031-14926-9_

Fagbøker⁄lærebøker

Lind, Pedro ; Curral, Luis; Gomes, Catarina; Marques-Quinteiro, Pedro (2016). Caos e Complexidade Novos Conceitos para a Gestão das Organizações. ISBN: 9728871619. 87 s. Editora RH.

Lind, Pedro ; Nobre, Bruno (2013). Dois Dedos de Conversa Sobre o Dentro das Coisas. ISBN: 9899832227. 152 s. Frente e Verso.

Formidling

Weir, Janelle Shari; Christiansen, Nicholas; Nichele, Stefano ; Lind, Pedro ; Sandvig, Axel; Sandvig, Ioanna (2020). From topology to functionality: Does perturbation in in-vitro neural networks drive hub adaptation towards computational efficiency?. FENS Forum 2020. Federation of European Neuroscience Societies.

Pontes-Filho, Sidney; Lind, Pedro ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Mello, Gustavo ; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. 23rd European Conference on the Applications of Evolutionary and bio-inspired Computation. Pedro Castillo.

Reinke, Nico; Fuchs, Andre; Medjroubi, W.; Lind, Pedro ; Wächter, Matthias; Peinke, Joachim (2015). The Langevin approach for data analysis: a mathematical overview. Heinz, Stefan; Bessaih, Hakima (Red.). Stochastic Equations for Complex Systems: Theoretical and Computational Topics. s. 125-142. Springer.

Rinn, Philip; Lind, Pedro ; Bastine, David (2015). Package 'Langevin' (in R).

Lind, Pedro (2015). Um pouco mais além do infinito para ficar aquém. Lind, Pedro; Albuquerque, Teresa (Red.). Cadernos Mateus DOC 08 - Infinity. s. 190-202. Casa Mateus IICM.

Lind, Pedro (2013). Sustentabilidade: Uma solução para um futuro garantido ou uma busca insustentável?. Marques Pedro, Guilherme (Red.). Cadernos Mateus Doc 03 - Sustainability. s. 11-16. IICM Mateus Dic.

Lind, Pedro (2012). Da percepção do Risco à sua quantificação e controlo. Albuquerque, Teresa; Branco, Ricardo; Lind, Pedro (Red.). Caderno Mateus Doc 02 - Risk. s. 27-35. IICM Mateus Doc.

Lind, Pedro ; Herrmann, Hans J. (2008). Approaches from statistical physics to model and study social networks. Kim, Buyong-Soo (Red.). Statistical Mechanics Research. Nova Science Pub Inc.

Lind, Pedro ; Côrte-Real, João; Gallas, J.A.C. (2001). Wave patterns in coupled map lattices. Boccaletti, Stefano; Burguete, Javier; Gonzalez-Vinas, W.; Mancini, Hector; Valladares, Diego (Red.). Space-Time Chaos: Characterization, Control and Synchronization. s. 61-77. World Scientific Pub Co Inc.