Narada Dilp Warakagoda

Image of Narada Dilp Warakagoda
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Visiting address Gunnar Randers vei 19 2007 Kjeller
Postal address Postboks 70 2027 Kjeller
Tags: Artificial intelligence, autonomous systems, computer vision, Robotics, Machine Learning, deep learning

Publications

  • 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.
  • 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.
  • (2023). Challenges of Automated Change Detection in Repeat-pass Synthetic Aperture Sonar Imagery. In Heald, Gary (Eds.), Synthetic Aperture Sonar and Synthetic Aperture Radar 2023. Institute of Acoustics. ISSN 978-1-906913-44-1.
  • 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. p. 360–363. doi: 10.1109/IGARSS52108.2023.10282626.
  • 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. Full text in Research Archive
  • 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. In Iliadis, Lazaros; Jayne, Chrisina; Tefas, Anastasios & Pimenidis, Elias (Ed.), Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. Springer Nature. ISSN 978-3-031-08223-8. p. 461–474. doi: 10.1007/978-3-031-08223-8_38. Full text in Research Archive
  • 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. Full text in Research Archive
  • 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. Full text in Research Archive
  • 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. Full text in Research Archive
  • 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. Full text in Research Archive
  • 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), p. 349–360. doi: 10.14456/easr.2020.38.
  • 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. Full text in Research Archive
  • 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. In Shahbazian, Elisa & Llinas, James (Ed.), 22nd International Conference on Information Fusion. IEEE conference proceedings. ISSN 978-0-9964527-9-3.
  • 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.
  • (2018). Transfer-learning with deep neural networks for mine recognition in sonar images. Proceedings of the Institute of Acoustics. ISSN 1478-6095. 40, p. 115–122.
  • 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. Full text in Research Archive

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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.
  • 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.
  • (2023). Challenges of automated change detection in repeat-pass synthetic aperture sonar imagery.
  • 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), p. 10–13.
  • Schøyen, Vemund Sigmundson; Warakagoda, Narada Dilp & Midtgaard, Øivind (2021). Seafloor Pipeline Detection With Deep Learning.
  • (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.
  • (2020). Finding similar targets in synthetic aperture sonar images with deep learning.
  • Vedeler, Alexandra Skau & Warakagoda, Narada Dilp (2020). Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle.
  • Midtgaard, Øivind; Warakagoda, Narada Dilp; Davies, Gary; Connors, Warren A. & Geilhufe, Marc (2019). Multi-phase performance evaluation for modern minehunting systems.
  • (2018). Fine-tuning of imagenet-trained deep neural networks for seafloor mine recognition in sonar images.
  • Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (2001). Speaker adaption in an ASR system based on nonlinear dynamics.
  • Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (2001). Nonlinear dynamical system based acoustic modeling for ASR.
  • Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (1999). Multilayer perceptron based optimal state spaced recognition for time series modelling.
  • Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (1999). Neural network based optimal feature extraction for ASR.
  • Warakagoda, Narada Dilp & Johnsen, Magne Hallstein (1997). Dynamical system models for speech recognition.

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Published Sep. 17, 2021 9:59 PM - Last modified Sep. 17, 2021 9:59 PM