Publaynet: largest dataset ever for document layout analysis X Zhong, J Tang, AJ Yepes 2019 International conference on document analysis and recognition (ICDAR …, 2019 | 495 | 2019 |
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices. U Asif, J Tang, S Harrer IJCAI 7, 4875-4882, 2018 | 156 | 2018 |
SeizureNet: Multi-spectral deep feature learning for seizure type classification U Asif, S Roy, J Tang, S Harrer Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 89 | 2020 |
Seizure detection using wearable sensors and machine learning: Setting a benchmark J Tang, R El Atrache, S Yu, U Asif, M Jackson, S Roy, M Mirmomeni, ... Epilepsia 62 (8), 1807-1819, 2021 | 87 | 2021 |
Ensemble knowledge distillation for learning improved and efficient networks U Asif, J Tang, S Harrer ECAI 2020, 953-960, 2020 | 83 | 2020 |
Seizure type classification using EEG signals and machine learning: Setting a benchmark S Roy, U Asif, J Tang, S Harrer 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2020 | 65 | 2020 |
Densely supervised grasp detector (DSGD) U Asif, J Tang, S Harrer Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8085-8093, 2019 | 53 | 2019 |
Privacy preserving human fall detection using video data U Asif, B Mashford, S Von Cavallar, S Yohanandan, S Roy, J Tang, ... Machine Learning for Health Workshop, 39-51, 2020 | 47 | 2020 |
A robust low-cost EEG motor imagery-based brain-computer interface SAC Yohanandan, I Kiral-Kornek, J Tang, BS Mshford, U Asif, S Harrer 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 41 | 2018 |
EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks. U Asif, J Tang, S Harrer BMVC 10, 1-12, 2018 | 38 | 2018 |
Machine learning for seizure type classification: setting the benchmark S Roy, U Asif, J Tang, S Harrer arXiv preprint arXiv:1902.01012, 36, 2019 | 35 | 2019 |
SeizureNet: a deep convolutional neural network for accurate seizure type classification and seizure detection U Asif, S Roy, J Tang, S Harrer arXiv preprint arXiv:1903.03232, 2019 | 29 | 2019 |
Wireless IoT platform based on SDR technology YH Lin, Q Wang, JS Wang, L Shao, J Tang 2013 IEEE International Conference on Green Computing and Communications and …, 2013 | 27 | 2013 |
Game-theoretic approach against selfish attacks in cognitive radio networks M Yan, L Du, L Huang, L Xiao, J Tang 2011 10th IEEE/ACIS International Conference on Computer and Information …, 2011 | 26 | 2011 |
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips AJ Yepes, J Tang, BS Mashford arXiv preprint arXiv:1705.07755, 2017 | 20 | 2017 |
Sshfd: Single shot human fall detection with occluded joints resilience U Asif, S Von Cavallar, J Tang, S Harrer ECAI 2020, 2656-2663, 2020 | 19 | 2020 |
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data S Roy, I Kiral, M Mirmomeni, T Mummert, A Braz, J Tsay, J Tang, U Asif, ... EBioMedicine 66, 2021 | 18 | 2021 |
Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces BS Mashford, AJ Yepes, I Kiral-Kornek, J Tang, S Harrer IBM Journal of Research and Development 61 (2/3), 7: 1-7: 6, 2017 | 16 | 2017 |
Automatic scaling for fixed point implementation of deep neural networks S Harrer, AJJ Yepes, FI Kiral-Kornek, BS Mashford, J Tang US Patent App. 15/293,954, 2018 | 14 | 2018 |
Automated generation of structured training data from unstructured documents P Zhong, AJJ Yepes, J Tang US Patent 11,244,203, 2022 | 13 | 2022 |