| GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices. U Asif, J Tang, S Harrer IJCAI, 4875-4882, 2018 | 31 | 2018 |
| 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 | 24 | 2011 |
| Publaynet: largest dataset ever for document layout analysis X Zhong, J Tang, AJ Yepes 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 23 | 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 | 18 | 2013 |
| 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 | 17 | 2018 |
| Machine learning for seizure type classification: setting the benchmark S Roy, U Asif, J Tang, S Harrer arXiv preprint arXiv:1902.01012, 2019 | 14 | 2019 |
| SeizureNet: a deep convolutional neural network for accurate seizure type classification and seizure detection U Asif, S Roy, J Tang, S Harrer arXiv, 2019 | 10 | 2019 |
| EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks. U Asif, J Tang, S Harrer BMVC, 10, 2018 | 9 | 2018 |
| Ensemble knowledge distillation for learning improved and efficient networks U Asif, J Tang, S Harrer arXiv preprint arXiv:1909.08097, 2019 | 7 | 2019 |
| Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips AJ Yepes, J Tang, BS Mashford arXiv preprint arXiv:1705.07755, 2017 | 7 | 2017 |
| 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 | 6 | 2020 |
| Densely supervised grasp detector (DSGD) U Asif, J Tang, S Harrer Proceedings of the AAAI Conference on Artificial Intelligence 33, 8085-8093, 2019 | 5 | 2019 |
| 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 | 5 | 2017 |
| 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 | 4 | 2020 |
| From Wearables to Thinkables-Deep Learning, Nanobiosensors and the Next Generation of Mobile Devices S Harrer, I Kiral-Kornek, R Kerr, BS Mashford, J Tang, AJ Yepes, ... White Paper, ICON, 2016 | 4 | 2016 |
| Weighted population code for low power neuromorphic image classification AJ Yepes, J Tang, S Saxena, T Brosch, A Amir 2016 International Joint Conference on Neural Networks (IJCNN), 4294-4301, 2016 | 3 | 2016 |
| Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips A Jimeno Yepes, J Tang, BS Mashford arXiv, arXiv: 1705.07755, 2017 | 2 | 2017 |
| The Deep Learning Epilepsy Detection Challenge: design, implementation, and test of a new crowd-sourced AI challenge ecosystem I Kiral, S Roy, T Mummert, A Braz, J Tsay, J Tang, U Asif, T Schaffter, ... Challenges in Machine Learning Competitions for All (CiML) 1 (1), 2019 | 1 | 2019 |
| 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 | 1 | 2018 |
| Improving energy efficiency and classification accuracy of neuromorphic chips by learning binary synaptic crossbars AJ Yepes, J Tang arXiv preprint arXiv:1605.07740, 2016 | 1 | 2016 |
Stefan HarrerSenior Technical Staff Member, Manager: AI and Neurological Diseases, IBM Master Inventor, IBM AoTGeverifieerd e-mailadres voor au.ibm.com
