| Classification of motor imagery BCI using multivariate empirical mode decomposition C Park, D Looney, N ur Rehman, A Ahrabian, DP Mandic IEEE Transactions on neural systems and rehabilitation engineering 21 (1), 10-22, 2012 | 300 | 2012 |
| Radiate: A radar dataset for automotive perception in bad weather M Sheeny, E De Pellegrin, S Mukherjee, A Ahrabian, S Wang, A Wallace 2021 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2021 | 277 | 2021 |
| Synchrosqueezing-based time-frequency analysis of multivariate data A Ahrabian, D Looney, L Stanković, DP Mandic Signal Processing 106, 331-341, 2015 | 163 | 2015 |
| Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques S Enshaeifar, A Zoha, A Markides, S Skillman, ST Acton, T Elsaleh, ... PloS one 13 (5), e0195605, 2018 | 134 | 2018 |
| A class of multivariate denoising algorithms based on synchrosqueezing A Ahrabian, DP Mandic IEEE Transactions on Signal Processing 63 (9), 2196-2208, 2015 | 59 | 2015 |
| Bivariate empirical mode decomposition for unbalanced real-world signals A Ahrabian, NU Rehman, D Mandic IEEE Signal Processing Letters 20 (3), 245-248, 2013 | 52 | 2013 |
| Data analysis as a web service: A case study using IoT sensor data A Ahrabian, S Kolozali, S Enshaeifar, C Cheong-Took, P Barnaghi 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 28 | 2017 |
| Selective time-frequency reassignment based on synchrosqueezing A Ahrabian, DP Mandic IEEE Signal Processing Letters 22 (11), 2039-2043, 2015 | 21 | 2015 |
| Nonuniformly sampled trivariate empirical mode decomposition A Hemakom, A Ahrabian, D Looney, N ur Rehman, DP Mandic 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 19 | 2015 |
| Algorithmic trading using phase synchronization A Ahrabian, CC Took, DP Mandic IEEE Journal of Selected Topics in Signal Processing 6 (4), 399-404, 2011 | 18 | 2011 |
| Efficient multi-sensor extended target tracking using GM-PHD filter A Ahrabian, M Emambakhsh, M Sheeny, A Wallace 2019 IEEE Intelligent Vehicles Symposium (IV), 1731-1738, 2019 | 6 | 2019 |
| Noise assisted multivariate empirical mode decomposition applied to Doppler radar data A Ahrabian, D Looney, FA Tobar, J Hallatt, DP Mandic Sensor Signal Processing for Defence (SSPD 2012), 1-4, 2012 | 6 | 2012 |
| Virtual verification of decision making and motion planning functionalities for automated vehicles in urban edge case scenarios I Souflas, L Lazzeretti, A Ahrabian, L Niccolini, S Curtis-Walcott SAE International Journal of Advances and Current Practices in Mobility 4 …, 2022 | 5 | 2022 |
| Detecting changes in the variance of multi-sensory accelerometer data using MCMC A Ahrabian, T Elsaleh, Y Fathy, P Barnaghi 2017 IEEE SENSORS, 1-3, 2017 | 4 | 2017 |
| Scenario gym: A scenario-centric lightweight simulator H Scott, L Niccolini, C Stetson, N Goldbeck, I Souflas, N Songur, ... 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 3 | 2023 |
| Combining automotive radar and LiDAR for surface detection in adverse conditions AM Wallace, S Mukherjee, B Toh, A Ahrabian IET Radar, Sonar & Navigation 15 (4), 359-369, 2021 | 2 | 2021 |
| Estimation of phase synchrony using the synchrosqueezing transform A Ahrabian, DP Mandic 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 2 | 2014 |
| Multivariate time-frequency analysis A Ahrabian Imperial College London, 2014 | 2 | 2014 |
| Segment parameter labelling in MCMC mean-shift change detection A Ahrabian, S Enshaeifar, C Cheong-Took, P Barnaghi 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 1 | 2018 |
| Detecting Changes in Time Series Data using Volatility Filters A Ahrabian, N Farajidavar, C Cheong-Took, P Barnaghi arXiv preprint arXiv:1709.03105, 2017 | 1 | 2017 |
