Payam Barnaghi

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Papers (6)

1. Continual Learning in Deep Neural Network by Using a Kalman Optimiser cs.LG · 2019 · author #4
2. Kalman Filter Modifier for Neural Networks in Non-stationary Environments cs.LG · 2018 · author #4
3. Machine learning for Internet of Things data analysis: A survey cs.LG · 2018 · author #5
4. Segment Parameter Labelling in MCMC Mean-Shift Change Detection cs.LG · 2017 · author #4
5. Detecting Changes in Time Series Data using Volatility Filters cs.SY · 2017 · author #4
6. A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams cs.SI · 2017 · author #3

Mentions

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Frequent Coauthors

• Shirin Enshaeifar 3 shared papers
• Alireza Ahrabian 2 shared papers
• Clive Cheong-Took 2 shared papers
• Frieder Ganz 2 shared papers
• Honglin Li 2 shared papers
• Nazli Farajidavar 2 shared papers
• Amit P. Sheth 1 shared papers
• Mohammadamin Barekatain 1 shared papers
• Mohammadreza Rezvan 1 shared papers
• Mohammad Saeid Mahdavinejad 1 shared papers
• Peyman Adibi 1 shared papers
• Sefki Kolozali 1 shared papers