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Shirin Enshaeifar
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2020 – today
- 2021
- [j6]Roonak Rezvani, Payam M. Barnaghi, Shirin Enshaeifar:
A New Pattern Representation Method for Time-Series Data. IEEE Trans. Knowl. Data Eng. 33(7): 2818-2832 (2021) - [j5]Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Bayesian Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4243-4252 (2021) - 2020
- [j4]Tarek Elsaleh, Shirin Enshaeifar, Roonak Rezvani, Sahr Thomas Acton, Valentinas Janeiko, María Bermúdez-Edo:
IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services. Sensors 20(4): 953 (2020) - [c18]Yuchen Zhao, Hamed Haddadi, Severin Skillman, Shirin Enshaeifar, Payam M. Barnaghi:
Privacy-preserving activity and health monitoring on databox. EdgeSys@EuroSys 2020: 49-54 - [c17]Valentinas Janeiko, Roonak Rezvani, Narges Pourshahrokhi, Shirin Enshaeifar, Marianne Krogbæk, Sebastian Holmgard Christophersen, Tarek Elsaleh, Payam M. Barnaghi:
Enabling Context-Aware Search using Extracted Insights from IoT Data Streams. GIoTS 2020: 1-6 - [c16]Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill:
A Digital Platform for Remote Healthcare Monitoring. WWW (Companion Volume) 2020: 203-206 - [i6]Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Task Conditional Neural Networks. CoRR abs/2005.05080 (2020)
2010 – 2019
- 2019
- [c15]Roonak Rezvani, Shirin Enshaeifar, Payam M. Barnaghi:
Lagrangian-Based Pattern Extraction for Edge Computing in the Internet of Things. CSCloud/EdgeCom 2019: 177-182 - [c14]Tarek Elsaleh, María Bermúdez-Edo, Shirin Enshaeifar, Sahr Thomas Acton, Roonak Rezvani, Payam M. Barnaghi:
IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams. GIoTS 2019: 1-6 - [i5]Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam M. Barnaghi:
Continual Learning in Deep Neural Network by Using a Kalman Optimiser. CoRR abs/1905.08119 (2019) - [i4]Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Bayesian Neural Networks. CoRR abs/1910.04112 (2019) - 2018
- [j3]Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, Andreas Markides, Tarek Elsaleh, Sahr Thomas Acton, Ramin Nilforooshan, Helen Rostill:
The Internet of Things for Dementia Care. IEEE Internet Comput. 22(1): 8-17 (2018) - [j2]Min Xiang, Shirin Enshaeifar, Alexander E. Stott, Clive Cheong Took, Yili Xia, Sithan Kanna, Danilo P. Mandic:
Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing. Signal Process. 148: 193-204 (2018) - [c13]Antonio F. Skarmeta, José Santa, Juan A. Martínez, Josiane Xavier Parreira, Payam M. Barnaghi, Shirin Enshaeifar, Michail J. Beliatis, Mirko A. Presser, Thorben Iggena, Marten Fischer, Ralf Tönjes, Martin Strohbach, Alessandro Sforzin, Hien Thi Thu Truong:
IoTCrawler: Browsing the Internet of Things. GIoTS 2018: 1-6 - [c12]Saeid Sanei, Clive Cheong Took, Shirin Enshaeifar:
Quaternion Adaptive Line Enhancer based on Singular Spectrum Analysis. ICASSP 2018: 2876-2880 - [c11]Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi:
Segment Parameter Labelling in MCMC Mean-Shift Change Detection. ICASSP 2018: 4244-4248 - [i3]Honglin Li, Frieder Ganz, Shirin Enshaeifar, Payam M. Barnaghi:
Kalman Filter Modifier for Neural Networks in Non-stationary Environments. CoRR abs/1811.02361 (2018) - 2017
- [c10]Saeid Sanei, Clive Cheong Took, Shirin Enshaeifar, Tracey Kah-Mein Lee:
Quaternion adaptive line enhancer. EUSIPCO 2017: 2625-2629 - [c9]Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi:
Data analysis as a web service: A case study using IoT sensor data. ICASSP 2017: 6000-6004 - [c8]Shirin Enshaeifar, Seyed Amir Hoseinitabatabaei, Alireza Ahrabian, Payam M. Barnaghi:
Pattern Identification for State Prediction in Dynamic Data Streams. iThings/GreenCom/CPSCom/SmartData 2017: 800-805 - [i2]Min Xiang, Shirin Enshaeifar, Alexander Stott, Clive Cheong Took, Yili Xia, Danilo P. Mandic:
Diagonalisation of covariance matrices in quaternion widely linear signal processing. CoRR abs/1705.00058 (2017) - [i1]Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi:
Segment Parameter Labelling in MCMC Mean-Shift Change Detection. CoRR abs/1710.09657 (2017) - 2016
- [j1]Shirin Enshaeifar, Loukianos Spyrou, Saeid Sanei, Clive Cheong Took:
A regularised EEG informed Kalman filtering algorithm. Biomed. Signal Process. Control. 25: 196-200 (2016) - [c7]Shirin Enshaeifar, Clive Cheong Took, Saeid Sanei, Danilo P. Mandic:
Novel quaternion matrix factorisations. ICASSP 2016: 3946-3950 - [c6]Yasmin Fathy, Payam M. Barnaghi, Shirin Enshaeifar, Rahim Tafazolli:
A distributed in-network indexing mechanism for the Internet of Things. WF-IoT 2016: 585-590 - 2015
- [c5]Sara Mahvash Mohammadi, Shirin Enshaeifar, Mohammad Ghavami, Saeid Sanei:
Classification of awake, REM, and NREM from EEG via singular spectrum analysis. EMBC 2015: 4769-4772 - [c4]Samaneh Kouchaki, Shirin Enshaeifar, Clive Cheong Took, Saeid Sanei:
Complex tensor based blind source separation of EEG for tracking P300 subcomponents. EMBC 2015: 6999-7002 - [c3]Konstantinos Eftaxias, Shirin Enshaeifar, Oana Geman, Samaneh Kouchaki, Saeid Sanei:
Detection of Parkinson's tremor from EMG signals; a singular spectrum analysis approach. DSP 2015: 398-402 - 2014
- [c2]Shirin Enshaeifar, Saeid Sanei, Clive Cheong Took:
An eigen-based approach for complex-valued Forecasting. ICASSP 2014: 6014-6018 - [c1]Shirin Enshaeifar, Saeid Sanei, Clive Cheong Took:
Singular spectrum analysis for tracking of P300. IJCNN 2014: 502-506
Coauthor Index
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