40 citations · 60 across the 9 of their papers we have counts for
4 papers · 1 filter
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks
Umar Asif, Jianbin Tang, Stefan Harrer
Ensemble models comprising of deep Convolutional Neural Networks (CNN) have shown significant improvements in model generalization but at the cost of large computation and memory r…
PubLayNet: largest dataset ever for document layout analysis
Xu Zhong, Jianbin Tang, Antonio Jimeno Yepes
Recognizing the layout of unstructured digital documents is an important step when parsing the documents into structured machine-readable format for downstream applications. Deep n…
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification
Umar Asif, Subhrajit Roy, Jianbin Tang +1
Automatic classification of epileptic seizure types in electroencephalograms (EEGs) data can enable more precise diagnosis and efficient management of the disease. This task is cha…
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmark
Subhrajit Roy, Umar Asif, Jianbin Tang +1
Accurate classification of seizure types plays a crucial role in the treatment and disease management of epileptic patients. Epileptic seizure types not only impact the choice of d…