| Publaynet: largest dataset ever for document layout analysis X Zhong, J Tang, AJ Yepes 2019 International conference on document analysis and recognition (ICDAR …, 2019 | 424 | 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 | 131 | 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 | 77 | 2020 |
| Ensemble knowledge distillation for learning improved and efficient networks U Asif, J Tang, S Harrer arXiv preprint arXiv:1909.08097, 2019 | 70 | 2019 |
| 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 | 69 | 2021 |
| 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 | 56 | 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 | 46 | 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 | 43 | 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 | 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 |
| EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks. U Asif, J Tang, S Harrer BMVC 10, 1-12, 2018 | 33 | 2018 |
| 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 |
| 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 |
| 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 | 25 | 2013 |
| Sshfd: Single shot human fall detection with occluded joints resilience U Asif, S Von Cavallar, J Tang, S Harrer arXiv preprint arXiv:2004.00797, 2020 | 19 | 2020 |
| Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips AJ Yepes, J Tang, BS Mashford arXiv preprint arXiv:1705.07755, 2017 | 18 | 2017 |
| 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 | 15 | 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 | 15 | 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 | 11 | 2018 |
| Features importance in seizure classification using scalp EEG reduced to single timeseries S Naze, J Tang, JR Kozloski, S Harrer 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
Stefan HarrerProgram Director, AI4Science, Australia's National Science Agency CSIRODirección de correo verificada de csiro.au
