Rehan Ahmed
TitleCited byYear
Grading hypoxic–ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine
R Ahmed, A Temko, W Marnane, G Lightbody, G Boylan
Clinical Neurophysiology 127 (1), 297-309, 2016
232016
Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel
R Ahmed, A Temko, WP Marnane, G Boylan, G Lightbody
Computers in biology and medicine 82, 100-110, 2017
112017
Grading brain injury in neonatal EEG using SVM and supervector kernel
R Ahmed, A Temko, W Marnane, G Boylan, G Lightbody
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
92014
Dynamic time warping based neonatal seizure detection system
R Ahmed, A Temko, W Marnane, G Boylan, G Lighbody
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
82012
Speech Source Separation Using a Multi-Pitch Harmonic Product Spectrum-Based Algorithm
R Ahmed, R Gil-Pita, D Ayllón, L Álvarez
Audio Engineering Society Convention 130, 2011
42011
Dynamic classifiers for neonatal brain monitoring
R Ahmed
University College Cork, 2016
22016
Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based features
R Ahmed, A Temko, WP Marnane, G Boylan, G Lightbody
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
22015
Automated System for Detecting Neonatal Brain Injuries
R Ahmed
The Boolean 2015, 7--2, 2015
2015
Multidisciplinary Research in Neonatal Brain Injury
R Ahmed
Baku World Science Forum 2014, Baku, Azerbaijan, 2014
2014
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Articles 1–9