| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2494 | 2023 |
| An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization SM Islam, S Das, S Ghosh, S Roy, PN Suganthan IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011 | 686 | 2011 |
| Epileptic seizure prediction using big data and deep learning: toward a mobile system I Kiral-Kornek, S Roy, E Nurse, B Mashford, P Karoly, T Carroll, D Payne, ... EBioMedicine 27, 103-111, 2018 | 315 | 2018 |
| ChronoNet: A deep recurrent neural network for abnormal EEG identification S Roy, I Kiral-Kornek, S Harrer Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | 210 | 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 | 110 | 2021 |
| A differential covariance matrix adaptation evolutionary algorithm for real parameter optimization S Ghosh, S Das, S Roy, SK Minhazul Islam, PN Suganthan Information Sciences 182 (1), 199-219, 2012 | 106 | 2012 |
| 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 | 99 | 2020 |
| Healthsheet: development of a transparency artifact for health datasets N Rostamzadeh, D Mincu, S Roy, A Smart, L Wilcox, M Pushkarna, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 73 | 2022 |
| Deep learning enabled automatic abnormal EEG identification S Roy, I Kiral-Kornek, S Harrer 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 73 | 2018 |
| 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 | 71 | 2020 |
| Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations S Roy, A Banerjee, A Basu IEEE Transactions on Biomedical Circuits and Systems, 2014 | 66 | 2014 |
| Diagnosing failures of fairness transfer across distribution shift in real-world medical settings J Schrouff, N Harris, S Koyejo, IM Alabdulmohsin, E Schnider, ... Advances in Neural Information Processing Systems 35, 19304-19318, 2022 | 62 | 2022 |
| Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers S Roy, SM Islam, S Das, S Ghosh Applied Soft Computing 13 (1), 27-46, 2013 | 58 | 2013 |
| 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 | 53 | 2020 |
| Maintaining fairness across distribution shift: do we have viable solutions for real-world applications J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ... arXiv preprint arXiv:2202.01034, 2022 | 44 | 2022 |
| An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks S Roy, A Basu IEEE Transactions on Neural Networks and Learning Systems, 2015 | 44 | 2015 |
| Batch calibration: Rethinking calibration for in-context learning and prompt engineering H Zhou, X Wan, L Proleev, D Mincu, J Chen, K Heller, S Roy arXiv preprint arXiv:2309.17249, 2023 | 37 | 2023 |
| Machine Learning for Seizure Type Classification: Setting the benchmark S Roy, U Asif, J Tang, S Harrer arXiv:1902.01012, 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:1903.03232, 2019 | 30 | 2019 |
| Developing robust benchmarks for driving forward AI innovation in healthcare D Mincu, S Roy Nature Machine Intelligence 4 (11), 916-921, 2022 | 29 | 2022 |
Stefan HarrerDirector, AI4Science, Australia's National Science Agency CSIROEmail verificata su csiro.au