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Narada D. Warakagoda
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Books and Theses
- 2001
- [b1]Narada D. Warakagoda:
Nonlinear dynamical systems for automatic speech recognition. Norwegian University of Science and Technology, Trondheim, Norway, 2001
Conference and Workshop Papers
- 2022
- [c10]Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård:
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. EANN 2022: 461-474 - 2021
- [c9]Vemund Sigmundson Schøyen, Narada Dilp Warakagoda, Øivind Midtgaard:
Seafloor Pipeline Detection With Deep Learning. NLDL 2021 - 2019
- [c8]Narada D. Warakagoda, Johann Dirdal, Erlend Faxvaag:
Fusion of LiDAR and Camera Images in End-to-end Deep Learning for Steering an Off-road Unmanned Ground Vehicle. FUSION 2019: 1-8 - 2005
- [c7]Knut Kvale, Narada D. Warakagoda:
A speech centric mobile multimodal service useful for dyslectics and aphasics. INTERSPEECH 2005: 461-464 - 2001
- [c6]Narada D. Warakagoda, Magne Hallstein Johnsen:
Nonlinear dynamical system based acoustic modeling for ASR. ICASSP 2001: 525-528 - [c5]Narada D. Warakagoda, Magne Hallstein Johnsen:
Speaker adaptation in an ASR system based on nonlinear dynamical systems. INTERSPEECH 2001: 1273-1276 - 2000
- [c4]Børge Lindberg, Finn Tore Johansen, Narada D. Warakagoda, Gunnar Lehtinen, Zdravko Kacic, Andrej Zgank, Kjell Elenius, Giampiero Salvi:
A Noise Robust Multilingual Reference Recogniser Based on Speechdat(II). INTERSPEECH 2000: 370-373 - [c3]Finn Tore Johansen, Narada D. Warakagoda, Børge Lindberg, Gunnar Lehtinen, Zdravko Kacic, Andrej Zgank, Kjell Elenius, Giampiero Salvi:
The COST 249 SpeechDat Multilingual Reference Recogniser. LREC 2000 - 1999
- [c2]Narada D. Warakagoda, Magne Hallstein Johnsen:
Multilayer perceptron based optimal state space reconstruction for time series modelling. IJCNN 1999: 2639-2642 - [c1]Narada D. Warakagoda, Magne Hallstein Johnsen:
Neural network based optimal feature extraction for ASR. EUROSPEECH 1999: 97-100
Informal and Other Publications
- 2023
- [i3]Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting. CoRR abs/2303.13177 (2023) - 2022
- [i2]Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. CoRR abs/2201.03229 (2022) - [i1]Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures. CoRR abs/2208.13585 (2022)
Coauthor Index
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