Cristin

2024
1.	Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Relative evaluation of probabilistic methods for spatio-temporal wind forecasting. Journal of Cleaner Production 2024 ;Volum 434. s. - UiO IFE Untitled
2023
2.	Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar; Warakagoda, Narada Dilp. Uncertainty quantification with deep learning through variational inference with applications to synthetic aperture sonar. Underwater Acoustics Conference & Exhibition (UACE) 2023 s. - FFI Untitled

3.	Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar; Warakagoda, Narada Dilp. Uncertainty quantification with deep learning through variational inference with applications to synthetic aperture sonar. Underwater Acoustics Conference & Exhibition (UACE); 2023-06-25 - 2023-06-30 FFI Untitled

4.	Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E.. A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. Energies 2023 ;Volum 16.(20) s. - IFE UiO Untitled

5.	Midtgaard, Øivind; Sæbø, Torstein Olsmo; Warakagoda, Narada Dilp. Challenges of Automated Change Detection in Repeat-pass Synthetic Aperture Sonar Imagery. I: Synthetic Aperture Sonar and Synthetic Aperture Radar 2023. UK: Institute of Acoustics 2023 ISBN 978-1-906913-44-1. s. - FFI Untitled

6.	Midtgaard, Øivind; Sæbø, Torstein Olsmo; Warakagoda, Narada Dilp. Challenges of automated change detection in repeat-pass synthetic aperture sonar imagery. 5th Synthetic Aperture Sonar and Radar Conference; 2023-09-06 - 2023-09-08 UiO FFI Untitled

7.	Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar; Warakagoda, Narada Dilp. A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks. IEEE International Geoscience and Remote Sensing Symposium proceedings 2023 s. 360-363 FFI Untitled

8.	Orescanin, Marko; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar; Warakagoda, Narada Dilp. A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium; 2023-07-16 - 2023-07-21 FFI Untitled
2022
9.	Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks. Journal of Physics: Conference Series (JPCS) 2022 ;Volum 2362. s. - UiO IFE Untitled

10.	Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures. Applied Energy 2022 ;Volum 333. s. - IFE UiO Untitled

11.	Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. Journal of Physics: Conference Series (JPCS) 2022 ;Volum 2265. IFE UiO Untitled

12.	Bryan, Oscar; Hansen, Roy Edgar; Haines, Tom S. F.; Warakagoda, Narada Dilp; Hunter, Alan Joseph. Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak. Remote Sensing 2022 ;Volum 14.(11) s. - FFI UiO Untitled

13.	Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri. Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. I: Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. Springer Nature 2022 ISBN 978-3-031-08223-8. s. 461-474 UIA UiO FFI Untitled

14.	Schøyen, Vemund Sigmundson; Hagen, Per Espen; Midtgaard, Øivind; Warakagoda, Narada Dilp. Automatic Detection of Seafloor Pipelines with Deep Learning. Hydro International 2022 ;Volum 26.(1) s. 10-13 UiO FFI Untitled
2021
15.	Schøyen, Vemund Sigmundson; Warakagoda, Narada Dilp; Midtgaard, Øivind. Seafloor Pipeline Detection With Deep Learning. Northern Lights Deep Learning Workshop 2; 2021-01-18 - 2021-01-20 FFI UiO Untitled
2020
16.	Vedeler, Alexandra Skau; Warakagoda, Narada Dilp. Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle. Nothern Lights Deep Learning workshop; 2020-01-19 - 2020-01-21 FFI NTNU SINTEF UiO Untitled

17.	Gunathilake, Miyuru Bandara; Panditharathne, Pushpika; Gunathilake, Anura Shantha; Warakagoda, Narada Dilp. Application of a hec-hms model on event-based simulations in a tropical watershed. Engineering and Applied Science Research (EASR) 2020 ;Volum 47.(4) s. 349-360 UiO Untitled

18.	Vedeler, Alexandra Skau; Warakagoda, Narada Dilp. Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle. Proceedings of the Northern Lights Deep Learning Workshop 2020 ;Volum 1. s. - FFI NTNU Untitled

19.	Warakagoda, Narada Dilp; Midtgaard, Øivind. Finding similar targets in synthetic aperture sonar images with deep learning. International conference on underwater acoustics (ICUA 2020); 2020-09-29 - 2020-09-29 FFI UiO Untitled

20.	Warakagoda, Narada Dilp; Midtgaard, Øivind. Retrieval of similar targets in synthetic aperture sonar images with deep learning. Proceedings of Meetings on Acoustics (POMA) 2020 ;Volum 40. FFI Untitled
2019
21.	Midtgaard, Øivind; Warakagoda, Narada Dilp; Davies, Gary; Connors, Warren A.; Geilhufe, Marc. Multi-phase performance evaluation for modern minehunting systems. Proceedings of SPIE, the International Society for Optical Engineering 2019 ;Volum 11012. FFI Untitled

22.	Midtgaard, Øivind; Warakagoda, Narada Dilp; Davies, Gary; Connors, Warren A.; Geilhufe, Marc. Multi-phase performance evaluation for modern minehunting systems. SPIE Conference on Defence+Commercial Sensing; 2019-04-15 - 2019-04-18 FFI Untitled

23.	Warakagoda, Narada Dilp; Dirdal, Johann Alexander; Johnsen, Erlend Faxvaag. Fusion of LiDAR and Camera Images in End-to-end Deep Learning for Steering an Off-road Unmanned Ground Vehicle. I: 22nd International Conference on Information Fusion. IEEE conference proceedings 2019 ISBN 978-0-9964527-9-3. s. - FFI NTNU Untitled
2018
24.	Warakagoda, Narada Dilp; Midtgaard, Øivind. Fine-tuning of imagenet-trained deep neural networks for seafloor mine recognition in sonar images. Nothernlight Deep Learning Workshop (NLDL2018); 2018-01-10 - 2018-01-11 FFI UiO Untitled

25.	Warakagoda, Narada Dilp; Midtgaard, Øivind. Transfer-learning with deep neural networks for mine recognition in sonar images. Proceedings of the Institute of Acoustics 2018 ;Volum 40. s. 115-122 FFI Untitled
2011
26.	Husøy, T; Pettersen, M; Nilsson, B; Öberg, T.; Warakagoda, Narada Dilp; Lie, Arne. Implementation of an underwater acoustic modem with network capability. I: OCEANS, 2011 IEEE - Spain : Santander 6-9 June 2011. IEEE conference proceedings 2011 ISBN 978-1-4577-0086-6. s. - SINTEF Untitled
2001
27.	Warakagoda, Narada Dilp; Johnsen, Magne Hallstein. Nonlinear dynamical system based acoustic modeling for ASR. ICASSP'2001; 2001-05-07 - 2001-05-11 NTNU Untitled

28.	Warakagoda, Narada Dilp; Johnsen, Magne Hallstein. Speaker adaption in an ASR system based on nonlinear dynamics. ICASSP'2001; 2001-05-07 - 2001-05-11 NTNU Untitled
1999
29.	Warakagoda, Narada Dilp; Johnsen, Magne Hallstein. Multilayer perceptron based optimal state spaced recognition for time series modelling. Int. Joint Conference on Neural networks -IJCNN'99; 1999-07-10 - 1999-07-16 NTNU Untitled

30.	Warakagoda, Narada Dilp; Johnsen, Magne Hallstein. Neural network based optimal feature extraction for ASR. EuroSpeech'99; 1999-09-05 - 1999-09-09 NTNU Untitled
1997
31.	Warakagoda, Narada Dilp; Johnsen, Magne Hallstein. Dynamical system models for speech recognition. NORSIG-97; 1997-05-23 - 1997-05-24 NTNU Untitled