Norwegian version
Paal Engelstad

Paal Engelstad

Fields of study

Academic disciplines

Communication and distributed systems   Security and vulnerability

Countries

Norway

Scientific publications

Khan, Mehak; Borges Moreno e Mello, Gustavo ; Habib, Laurence ; Engelstad, Paal ; Yazidi, Anis (2024). HITS-based Propagation Paradigm for Graph Neural Networks. 22 p. ACM Transactions on Knowledge Discovery from Data. Vol. 18.
https://doi.org/10.1145/3638779

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. 14 p. Journal of Cleaner Production. Vol. 434.
https://doi.org/10.1016/j.jclepro.2023.139944

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

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

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

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

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

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. Journal of Physics: Conference Series (JPCS). Vol. 2265.
https://doi.org/10.1088/1742-6596/2265/2/022035

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks. 10 p. Journal of Physics: Conference Series (JPCS). Vol. 2362.
https://doi.org/10.1088/1742-6596/2362/1/012005





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