Saeid Nahavandi
Deakin University
1077 Papers
4.1K Citations
Saeid Nahavandi is an academic researcher from Deakin University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 58, co-authored 987 publications. Previous affiliations of Saeid Nahavandi include Delft University of Technology & Monash University.
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Papers
Driving behaviour analysis using topological features
Mostafa Hossny,Shady Mohammed,Saeid Nahavandi,Kyle Nelson,Mohammed Hossny +4 more
- 01 Jan 2016
TL;DR: This paper captured a driver's head motion as an experimental behavioural cue, combined it with captured simulated vehicle data, and extracted descriptive statistics to show the significance of these barcode as features for driver behaviour prediction.
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Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation
H M Dipu Kabir,Mohammad Anwar Hosen,Abbas Khosravi,Saeid Nahavandi +3 more
- 01 Jan 2018
TL;DR: An optimization methodology for the weighted autocorrelation based prediction interval is proposed and applied for the prediction of the wind power generation and the Coverage Width Based Criterion (CWC) is applied as the optimization criterion.
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A Soft Computing Fusion for River Flow Time Series Forecasting
Thanh Nguyen,Ngoc Duy Nguyen,Saeid Nahavandi,Syed Moshfeq Salaken,Amin Khatami +4 more
- 01 Jan 2018
TL;DR: A hybrid method based on a soft computing fusion for river flow time series forecasting that consistently outperformed traditional modeling methods is introduced.
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Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
M. Hasan,Moloud Abdar,Abbas Khosravi,Uwe Aickelin,Pietro Liò,Ibrahim Hossain,Ashikur Rahman,Saeid Nahavandi +7 more
TL;DR: In this article , the authors present a systematic review of the prediction with reject option in the context of various neural networks and discuss different loss functions related to the reject option and post-training processing (if any) of network output for generating suitable measurements for knowledge awareness of the model.
Application of Extended Multivariate Modeling for Information Flow Analysis of Event Related Responses
Imali Hettiarachchi,Shady Mohamed,Saeid Nahavandi,Sofia Nahavandi +3 more
- 01 Jan 2015
TL;DR: This paper uses an extended multivariate autoregressive model (eMVAR) which also accounts for any instantaneous interaction among variables under consideration and presents a Granger causality (GC)-based connectivity estimation applied to ERP data analysis.
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