435 citations · 840 across the 65 of their papers we have counts for
90 papers
What Counts as a Mistake? Annotating Recitation Events in Quran Memorization Transcripts
Mohamad Al Mdfaa, Nursultan Askarbekuly, Ahmed Helaly +2
Checking Quran recitation from an ASR transcript requires distinguishing unresolved mistakes from repetitions, repairs, opening formulas and accepted spelling differences. We repor…
Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation Data
Nursultan Askarbekuly, Mohamad Al Mdfaa, Ahmed Helaly +2
Coding agents can now be left alone to improve software against a score. In this pattern--recently popularized as "autoresearch"--the agent receives a dataset, an evaluation script…
Quranic Audio Dataset: Crowdsourced and Labeled Recitation from Non-Arabic Speakers
Raghad Salameh, Mohamad Al Mdfaa, Nursultan Askarbekuly +1
This paper addresses the challenge of learning to recite the Quran for non-Arabic speakers. We explore the possibility of crowdsourcing a carefully annotated Quranic dataset, on to…
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification
Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara +3
Convolutional Neural Networks (CNN) are more suitable, indeed. However, fixed kernel sizes make traditional CNN too specific, neither flexible nor conducive to feature learning, th…
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification
Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano
Convolutional Neural Networks (CNN) have been rigorously studied for Hyperspectral Image Classification (HSIC) and are known to be effective in exploiting joint spatial-spectral in…
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN
Muhammad Ahmad, Sidrah Shabbir, Rana Aamir Raza +3
Convolutional Neural Networks (CNN) has been extensively studied for Hyperspectral Image Classification (HSIC) more specifically, 2D and 3D CNN models have proved highly efficient…