Narada Dilp Warakagoda
Førsteamanuensis
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Seksjon for autonome systemer og sensorteknologier
![Bilde av Narada Dilp Warakagoda](https://www.mn.uio.no/its/personer/vit/naradadw/narada.png)
English version of this page
E-post
n.d.warakagoda@its.uio.no
Brukernavn
Besøksadresse
Gunnar Randers vei 19
2007 Kjeller
Postadresse
Postboks 70
2027 Kjeller
Publikasjoner
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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. ISSN 0959-6526. 434. doi: 10.1016/j.jclepro.2023.139944. Fulltekst i vitenarkiv
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Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar & Warakagoda, Narada Dilp (2023). Uncertainty quantification with deep learning through variational inference with applications to synthetic aperture sonar. Underwater Acoustics Conference & Exhibition (UACE). ISSN 2408-0195.
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(2023). Challenges of Automated Change Detection in Repeat-pass Synthetic Aperture Sonar Imagery. I Heald, Gary (Red.), Synthetic Aperture Sonar and Synthetic Aperture Radar 2023. Institute of Acoustics. ISSN 978-1-906913-44-1.
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Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar & Warakagoda, Narada Dilp (2023). 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. ISSN 2153-6996. s. 360–363. doi: 10.1109/IGARSS52108.2023.10282626.
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Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy & Engelstad, Paal E. (2023). A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. Energies. ISSN 1996-1073. 16(20). doi: 10.3390/en16207179. Fulltekst i vitenarkiv
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Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E. & Knausgård, Kristian Muri (2022). Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. I Iliadis, Lazaros; Jayne, Chrisina; Tefas, Anastasios & Pimenidis, Elias (Red.), Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. Springer Nature. ISSN 978-3-031-08223-8. s. 461–474. doi: 10.1007/978-3-031-08223-8_38. Fulltekst i vitenarkiv Vis sammendrag
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Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy & Engelstad, Paal (2022). Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures. Applied Energy. ISSN 0306-2619. 333. doi: 10.1016/j.apenergy.2022.120565. Fulltekst i vitenarkiv
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Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy & Engelstad, Paal (2022). Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks. Journal of Physics: Conference Series (JPCS). ISSN 1742-6588. 2362. doi: 10.1088/1742-6596/2362/1/012005. Fulltekst i vitenarkiv
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Bryan, Oscar; Hansen, Roy Edgar; Haines, Tom S. F.; Warakagoda, Narada Dilp & Hunter, Alan Joseph (2022). Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak. Remote Sensing. ISSN 2072-4292. 14(11). doi: 10.3390/rs14112619. Fulltekst i vitenarkiv Vis sammendrag
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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). ISSN 1742-6588. 2265. doi: 10.1088/1742-6596/2265/2/022035. Fulltekst i vitenarkiv
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Gunathilake, Miyuru Bandara; Panditharathne, Pushpika; Gunathilake, Anura Shantha & Warakagoda, Narada Dilp (2020). Application of a hec-hms model on event-based simulations in a tropical watershed. Engineering and Applied Science Research (EASR). ISSN 2539-6161. 47(4), s. 349–360. doi: 10.14456/easr.2020.38.
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Vedeler, Alexandra Skau & Warakagoda, Narada Dilp (2020). Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle. Proceedings of the Northern Lights Deep Learning Workshop. 1. doi: 10.7557/18.5147. Fulltekst i vitenarkiv Vis sammendrag
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Warakagoda, Narada Dilp; Dirdal, Johann Alexander & Johnsen, Erlend Faxvaag (2019). Fusion of LiDAR and Camera Images in End-to-end Deep Learning for Steering an Off-road Unmanned Ground Vehicle. I Shahbazian, Elisa & Llinas, James (Red.), 22nd International Conference on Information Fusion. IEEE conference proceedings. ISSN 978-0-9964527-9-3.
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Midtgaard, Øivind; Warakagoda, Narada Dilp; Davies, Gary; Connors, Warren A. & Geilhufe, Marc (2019). Multi-phase performance evaluation for modern minehunting systems. Proceedings of SPIE, the International Society for Optical Engineering. ISSN 0277-786X. 11012. doi: 10.1117/12.2518837.
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(2018). Transfer-learning with deep neural networks for mine recognition in sonar images. Proceedings of the Institute of Acoustics. ISSN 1478-6095. 40, s. 115–122.
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Husøy, T; Pettersen, M; Nilsson, B; Öberg, T.; Warakagoda, Narada Dilp & Lie, Arne (2011). Implementation of an underwater acoustic modem with network capability, OCEANS, 2011 IEEE - Spain : Santander 6-9 June 2011. IEEE conference proceedings. ISSN 978-1-4577-0086-6. doi: 10.1109/oceans-spain.2011.6003642. Fulltekst i vitenarkiv Vis sammendrag
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Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar & Warakagoda, Narada Dilp (2023). Uncertainty quantification with deep learning through variational inference with applications to synthetic aperture sonar.
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Orescanin, Marko; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar & Warakagoda, Narada Dilp (2023). A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks.
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(2023). Challenges of automated change detection in repeat-pass synthetic aperture sonar imagery.
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Schøyen, Vemund Sigmundson; Hagen, Per Espen; Midtgaard, Øivind & Warakagoda, Narada Dilp (2022). Automatic Detection of Seafloor Pipelines with Deep Learning. Hydro International. ISSN 1385-4569. 26(1), s. 10–13.
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Schøyen, Vemund Sigmundson; Warakagoda, Narada Dilp & Midtgaard, Øivind (2021). Seafloor Pipeline Detection With Deep Learning.
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(2020). Retrieval of similar targets in synthetic aperture sonar images with deep learning. Proceedings of Meetings on Acoustics (POMA). ISSN 1939-800X. 40. doi: 10.1121/2.0001315.
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(2020). Finding similar targets in synthetic aperture sonar images with deep learning.
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Vedeler, Alexandra Skau & Warakagoda, Narada Dilp (2020). Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle.
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Midtgaard, Øivind; Warakagoda, Narada Dilp; Davies, Gary; Connors, Warren A. & Geilhufe, Marc (2019). Multi-phase performance evaluation for modern minehunting systems.
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(2018). Fine-tuning of imagenet-trained deep neural networks for seafloor mine recognition in sonar images.
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Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (2001). Speaker adaption in an ASR system based on nonlinear dynamics.
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Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (2001). Nonlinear dynamical system based acoustic modeling for ASR.
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Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (1999). Multilayer perceptron based optimal state spaced recognition for time series modelling. Vis sammendrag
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Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (1999). Neural network based optimal feature extraction for ASR. Vis sammendrag
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Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (1997). Dynamical system models for speech recognition. Vis sammendrag
Publisert
12. okt. 2018 12:23
- Sist endret
12. okt. 2018 12:35