| Measuring Neural Net Robustness with Constraints O Bastani, Y Ioannou, L Lampropoulos, D Vytiniotis, A Nori, A Criminisi Neural Information Processing Systems (NIPS) 2016, Barcelona, Spain, 2016 | 351 | 2016 |
| Segmentation of Brain Tumor Tissues with Convolutional Neural Networks D Zikic, Y Ioannou, M Brown, A Criminisi Proceedings MICCAI-BRATS Challenge, MICCAI 2014, Harvard Medical School …, 2014 | 252 | 2014 |
| Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups Y Ioannou, D Robertson, R Cipolla, A Criminisi IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 …, 2016 | 206 | 2016 |
| Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds Y Ioannou, B Taati, R Harrap, M Greenspan 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT …, 2012 | 194 | 2012 |
| Emergency detection and response system and method A Mihailidis, YA Ioannou, J Boger, JE Gastle US Patent App. 13/655,920, 2013 | 154 | 2013 |
| Training CNNs with Low-Rank Filters for Efficient Image Classification Y Ioannou, D Robertson, J Shotton, R Cipolla, A Criminisi International Conference on Learning Representations 2016 (ICLR), San Juan …, 2015 | 152 | 2015 |
| Decision Forests, Convolutional Networks and the Models in-Between Y Ioannou, D Robertson, D Zikic, P Kontschieder, J Shotton, M Brown, ... Microsoft Research Technical Report, arXiv preprint arXiv:1603.01250, 2015 | 85 | 2015 |
| Scientific domain knowledge improves exoplanet transit classification with deep learning M Ansdell, Y Ioannou, HP Osborn, M Sasdelli, JC Smith, D Caldwell, ... The Astrophysical journal letters 869 (1), L7, 2018 | 49 | 2018 |
| Refining Architectures of Deep Convolutional Neural Networks S Shankar, D Robertson, Y Ioannou, A Criminisi, R Cipolla IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016, Las …, 2016 | 35 | 2016 |
| Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks HP Osborn, M Ansdell, Y Ioannou, M Sasdelli, D Angerhausen, ... Astronomy & Astrophysics, 2019 | 33 | 2019 |
| Gradient flow in sparse neural networks and how lottery tickets win U Evci, YA Ioannou, C Keskin, Y Dauphin 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 2022 | 18 | 2022 |
| Automated fall detection technology in inpatient geriatric psychiatry: nurses’ perceptions and lessons learned M Coahran, LM Hillier, L Van Bussel, E Black, R Churchyard, I Gutmanis, ... Canadian Journal on Aging/La Revue canadienne du vieillissement 37 (3), 245-260, 2018 | 12 | 2018 |
| Structural Priors in Deep Neural Networks YA Ioannou University of Cambridge, Cambridge, UK, 2017 | 11 | 2017 |
| Automatic Urban Modelling Using Mobile Urban Lidar Data YA Ioannou Queen's University, Kingston, Ontario, Canada, 2010 | 4 | 2010 |
| Local PotentialWell Space Embedding Y Ioannou, L Shang, R Harrap, M Greenspan 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 1 | 2009 |
| Domain-Agnostic Clustering with Self-Distillation M Adnan, YA Ioannou, CY Tsai, GW Taylor 2nd NeurIPS Workshop on Self-Supervised Learning: Theory and Practice, 2021 | | 2021 |
| Automatic Classification of Transiting Planet Candidates using Deep Learning M Ansdell, Y Ioannou, HP Osborn, M Sasdelli, JC Smith, D Caldwell, ... Astronomical Data Analysis Software and Systems XXVII 523, 59, 2019 | | 2019 |
| The NASA FDL Exoplanet Challenge: Transit Classification with Convolutional Neural Networks D Angerhausen, M Ansdell, H Osborn, Y Ioannou, M Sasdelli, C Raīssi, ... 2019 Astrobiology Science Conference, 2019 | | 2019 |
| Rapid Classification of Exoplanet Transits with Deep Learning M Ansdell, Y Ioannou, H Osborn, M Sasdelli NASA Frontier Development Lab Technical Memorandum, 2018 | | 2018 |
Antonio CriminisiResearch Manager at AmazonVerified email at microsoft.com
