E-LIB Suche - Ergebnisse für: Bianchi, Filippo Maria

1

Code-Aligned Autoencoders for Unsupervised Change Detection..:

Luppino, Luigi Tommaso ; Hansen, Mads Adrian ; Kampffmeyer, Michael...
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 1 - p. 60-72 , 2024

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

2

Understanding Pooling in Graph Neural Networks:

Grattarola, Daniele ; Zambon, Daniele ; Bianchi, Filippo Maria.
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 2 - p. 2708-2718 , 2024

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

3

Identifying conditions leading to power quality events in A..:

Ingebrigtsen, Karoline ; Bianchi, Filippo Maria ; Bakkejord, Sigurd..
Applied Energy. 357 (2024) - p. 122516 , 2024

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

4

Ensemble Conformalized Quantile Regression for Probabilisti..:

Jensen, Vilde ; Bianchi, Filippo Maria ; Anfinsen, Stian Normann
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 7 - p. 9014-9025 , 2024

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

5

Explainability in subgraphs-enhanced Graph Neural Networks:

Guerra, Michele ; Spinelli, Indro ; Scardapane, Simone.
Proceedings of the Northern Lights Deep Learning Workshop. 4 (2023) - p. , 2023

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

6

Probabilistic Load Forecasting With Reservoir Computing:

Guerra, Michele ; Scardapane, Simone ; Bianchi, Filippo Maria
IEEE Access. 11 (2023) - p. 145989-146002 , 2023

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

7

Power Flow Balancing With Decentralized Graph Neural Networ..:

Hansen, Jonas Berg ; Anfinsen, Stian Normann ; Bianchi, Filippo Maria
IEEE Transactions on Power Systems. 38 (2023) 3 - p. 2423-2433 , 2023

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

8

Simplifying Clustering with Graph Neural Networks:

Bianchi, Filippo Maria
Proceedings of the Northern Lights Deep Learning Workshop. 4 (2023) - p. , 2023

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

9

Power availability of PV plus thermal batteries in real-wor..:

Eikeland, Odin Foldvik ; Kelsall, Colin C. ; Buznitsky, Kyle...
Applied Energy. 348 (2023) - p. 121572 , 2023

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

10

Detecting the Linear and Non-linear Causal Links for Distur..:

, In: Communications in Computer and Information Science; Intelligent Technologies and Applications,

Eikeland, Odin Foldvik ; Bianchi, Filippo Maria ; Holmstrand, Inga Setså.. - p. 325-336 , 2022

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

11

Recognition of Polar Lows in Sentinel-1 SAR Images With Dee..:

Grahn, Jakob ; Bianchi, Filippo Maria
IEEE Transactions on Geoscience and Remote Sensing. 60 (2022) - p. 1-12 , 2022

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

12

Probabilistic forecasts of wind power generation in regions..:

Eikeland, Odin Foldvik ; Hovem, Finn Dag ; Olsen, Tom Eirik..
Energy Conversion and Management: X. 15 (2022) - p. 100239 , 2022

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

13

Hierarchical Representation Learning in Graph Neural Networ..:

Bianchi, Filippo Maria ; Grattarola, Daniele ; Livi, Lorenzo.
IEEE Transactions on Neural Networks and Learning Systems. 33 (2022) 5 - p. 2195-2207 , 2022

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

14

Age prediction by deep learning applied to Greenland halibu..:

Martinsen, Iver ; Harbitz, Alf ; Bianchi, Filippo Maria.
PLOS ONE. 17 (2022) 11 - p. e0277244 , 2022

Link: https://doi.org/10.1371/..

15

Deep Image Translation With an Affinity-Based Change Prior ..:

Luppino, Luigi Tommaso ; Kampffmeyer, Michael ; Bianchi, Filippo Maria...
IEEE Transactions on Geoscience and Remote Sensing. 60 (2022) - p. 1-22 , 2022

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