Norwegian version
Paal Engelstad

Paal Engelstad

Fields of study

Academic disciplines

Communication and distributed systems   Security and vulnerability

Countries

Norway

Scientific publications

Abolghasemi, Roza ; Viedma, Enrique Herrera; Engelstad, Paal E. ; Djenouri, Youcef; Yazidi, Anis (2024). A graph neural approach for group recommendation system based on pairwise preferences. Information Fusion. Vol. 107.
https://doi.org/10.1016/j.inffus.2024.102343

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2024). Relative evaluation of probabilistic methods for spatio-temporal wind forecasting. Journal of Cleaner Production. Vol. 434.
https://doi.org/10.1016/j.jclepro.2023.139944

Rauniyar, Ashish ; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA. Gregory, Mark A.; Li, Shuo (Ed.). Proceedings of the 2023 33rd International Telecommunication Networks and Applications Conference (ITNAC). p. 128-133. IEEE conference proceedings.
https://doi.org/10.1109/ITNAC59571.2023.10368523

Khan, Mehak; Borges Moreno e Mello, Gustavo ; Engelstad, Paal E. ; Habib, Laurence ; Yazidi, Anis (2023). HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks. Tsumoto, Shusaku; Ohsawa, Yukio; Chen, Lei; Van den Poel, Dirk; Hu, Xiaohua; Motomura, Yoichi (Ed.). 2022 IEEE International Conference on Big Data . IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/BigData55660.2022.10020815

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal E. (2023). Unsupervised State Representation Learning in Partially Observable Atari Games. Tsapatsoulis, Nicolas (Ed.). Computer Analysis of Images and Patterns. CAIP 2023. p. 212-222. Springer.
https://doi.org/10.1007/978-3-031-44240-7_21

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E. (2023). A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. 23 p. Energies. Vol. 16.
https://doi.org/10.3390/en16207179

Rauniyar, Ashish ; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Exploiting Cooperative Downlink NOMA in D2D Communications. 18 p. Sensors. Vol. 23.
https://doi.org/10.3390/s23083958

Abolghasemi, Roza ; Khadka, Rabindra ; Lind, Pedro ; Engelstad, Paal E. ; Viedma, Enrique Herrera; Yazidi, Anis (2022). Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems. Vol. 256.
https://doi.org/10.1016/j.knosys.2022.109860

Meng, Li; Yazidi, Anis ; Goodwin, Morten ; Engelstad, Paal (2022). Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. 9 p. Proceedings of the Northern Lights Deep Learning Workshop.
https://doi.org/10.7557/18.6237

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal (2022). Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. 9 p. IEEE Transactions on Games (TG). Vol. 15.
https://doi.org/10.1109/TG.2022.3185330





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