E-LIB Suche - Ergebnisse für: Engelstad, Paal

1

Relative evaluation of probabilistic methods for spatio-tem..:

Bentsen, Lars Ødegaard ; Warakagoda, Narada Dilp ; Stenbro, Roy.
Journal of Cleaner Production. 434 (2024) - p. 139944 , 2024

Link: https://doi.org/10.1016/..

2

Deep Reinforcement Learning with Swin Transformers:

, In: Proceedings of the 2024 8th International Conference on Digital Signal Processing,

Meng, Li ; Goodwin, Morten ; Yazidi, Anis. - p. 205-211 , 2024

Link: https://dl.acm.org/doi/1..

3

HITS-based Propagation Paradigm for Graph Neural Networks:

Khan, Mehak ; Mello, Gustavo B. M. ; Habib, Laurence..
ACM Transactions on Knowledge Discovery from Data. 18 (2024) 4 - p. 1-23 , 2024

Link: https://doi.org/10.1145/..

4

A graph neural approach for group recommendation system bas..:

Abolghasemi, Roza ; Viedma, Enrique Herrera ; Engelstad, Paal..
Information Fusion. 107 (2024) - p. 102343 , 2024

Link: https://doi.org/10.1016/..

5

Exploiting Cooperative Downlink NOMA in D2D Communications:

Rauniyar, Ashish ; Østerbø, Olav N. ; Håkegård, Jan Erik.
Sensors. 23 (2023) 8 - p. 3958 , 2023

Link: https://doi.org/10.3390/..

6

A Unified Graph Formulation for Spatio-Temporal Wind Foreca..:

Bentsen, Lars Ødegaard ; Warakagoda, Narada Dilp ; Stenbro, Roy.
Energies. 16 (2023) 20 - p. 7179 , 2023

Link: https://doi.org/10.3390/..

7

Unsupervised State Representation Learning in Partially Obs..:

, In: Computer Analysis of Images and Patterns; Lecture Notes in Computer Science,

Meng, Li ; Goodwin, Morten ; Yazidi, Anis. - p. 212-222 , 2023

Link: https://doi.org/10.1007/..

8

Spatio-temporal wind speed forecasting using graph networks..:

Bentsen, Lars Ødegaard ; Warakagoda, Narada Dilp ; Stenbro, Roy.
Applied Energy. 333 (2023) - p. 120565 , 2023

Link: https://doi.org/10.1016/..

9

A personality-aware group recommendation system based on pa..:

Abolghasemi, Roza ; Engelstad, Paal ; Herrera-Viedma, Enrique.
Information Sciences. 595 (2022) - p. 1-17 , 2022

Link: https://doi.org/10.1016/..

10

Wind Park Power Prediction: Attention-Based Graph Networks ..:

Bentsen, Lars Ødegaard ; Dilp Warakagoda, Narada ; Stenbro, Roy.
Journal of Physics: Conference Series. 2265 (2022) 2 - p. 022035 , 2022

Link: https://doi.org/10.1088/..

11

HITS-GNN: A Simplified Propagation Scheme for Graph Neural ..:

, In: 2022 IEEE International Conference on Big Data (Big Data),

Khan, Mehak ; Mello, Gustavo B. M. ; Engelstad, Paal.. - p. 5514-5519 , 2022

Link: https://doi.org/10.1109/..

12

Towards Using Reinforcement Learning for Autonomous Docking..:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,

Holen, Martin ; Ruud, Else-Line Malene ; Warakagoda, Narada Dilp... - p. 461-474 , 2022

Link: https://doi.org/10.1007/..

13

Expert Q-learning: Deep Reinforcement Learning with Coarse ..:

Meng, Li ; Yazidi, Anis ; Goodwin, Morten.
Proceedings of the Northern Lights Deep Learning Workshop. 3 (2022) - p. , 2022

Link: https://doi.org/10.7557/..

14

Probabilistic Wind Park Power Prediction using Bayesian Dee..:

Bentsen, Lars Ødegaard ; Warakagoda, Narada Dilp ; Stenbro, Roy.
Journal of Physics: Conference Series. 2362 (2022) 1 - p. 012005 , 2022

Link: https://doi.org/10.1088/..

15

Predicting missing pairwise preferences from similarity fea..:

Abolghasemi, Roza ; Khadka, Rabindra ; Lind, Pedro G....
Knowledge-Based Systems. 256 (2022) - p. 109860 , 2022

Link: https://doi.org/10.1016/..