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Alireza Ahrabian
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2020 – today
- 2023
- [c9]Hamish Scott, Lorenzo Niccolini, Chess Stetson, Nils Goldbeck, Ioannis Souflas, Noyan Songur, Alireza Ahrabian, Eduardo Candela, Panagiotis Angeloudis:
Scenario Gym: A Scenario-Centric Lightweight Simulator. ITSC 2023: 5216-5222 - 2021
- [c8]Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee, Alireza Ahrabian, Sen Wang, Andrew M. Wallace:
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather. ICRA 2021: 1-7 - 2020
- [i4]Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee, Alireza Ahrabian, Sen Wang, Andrew M. Wallace:
RADIATE: A Radar Dataset for Automotive Perception. CoRR abs/2010.09076 (2020)
2010 – 2019
- 2019
- [c7]Alireza Ahrabian, Mehryar Emambakhsh
, Marcel Sheeny
, Andrew M. Wallace:
Efficient Multi-Sensor Extended Target Tracking using GM-PHD Filter. IV 2019: 1731-1738 - [i3]Alireza Ahrabian, João F. C. Mota, Andrew M. Wallace:
Image-Guided Depth Upsampling via Hessian and TV Priors. CoRR abs/1910.14377 (2019) - 2018
- [c6]Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi:
Segment Parameter Labelling in MCMC Mean-Shift Change Detection. ICASSP 2018: 4244-4248 - 2017
- [c5]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 - [c4]Alireza Ahrabian, Tarek Elsaleh
, Yasmin Fathy
, Payam M. Barnaghi
:
Detecting changes in the variance of multi-sensory accelerometer data using MCMC. IEEE SENSORS 2017: 1-3 - [c3]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]Alireza Ahrabian, Nazli FarajiDavar, Clive Cheong Took, Payam M. Barnaghi:
Volatility Based Change Detection in Data Streams. CoRR abs/1709.03105 (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) - 2015
- [j5]Alireza Ahrabian, David Looney, Ljubisa Stankovic
, Danilo P. Mandic:
Synchrosqueezing-based time-frequency analysis of multivariate data. Signal Process. 106: 331-341 (2015) - [j4]Alireza Ahrabian, Danilo P. Mandic:
Selective Time-Frequency Reassignment Based on Synchrosqueezing. IEEE Signal Process. Lett. 22(11): 2039-2043 (2015) - [j3]Alireza Ahrabian, Danilo P. Mandic:
A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing. IEEE Trans. Signal Process. 63(9): 2196-2208 (2015) - [c2]Apit Hemakom, Alireza Ahrabian, David Looney, Naveed ur Rehman
, Danilo P. Mandic:
Nonuniformly sampled trivariate empirical mode decomposition. ICASSP 2015: 3691-3695 - 2014
- [c1]Alireza Ahrabian, Danilo P. Mandic:
Estimation of phase synchrony using the synchrosqueezing transform. ICASSP 2014: 759-763 - 2013
- [j2]Alireza Ahrabian, Naveed ur Rehman
, Danilo P. Mandic:
Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals. IEEE Signal Process. Lett. 20(3): 245-248 (2013) - 2012
- [j1]Alireza Ahrabian, Clive Cheong Took, Danilo P. Mandic:
Algorithmic Trading Using Phase Synchronization. IEEE J. Sel. Top. Signal Process. 6(4): 399-403 (2012)
Coauthor Index
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