| Multi-task Learning for Aggregated Data using Gaussian Processes F Yousefi, MT Smith, MA Álvarez Advances in Neural Information Processing Systems (NeurIPS), 15050--15060, 2019 | 31 | 2019 |
| Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020 M Samiei, C Weis, L Schiavo, T Chavdarova, F Yousefi arXiv preprint arXiv:2012.01191, 2020 | 6 | 2020 |
| Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model F Yousefi, Z Dai, CH Ek, N Lawrence International Conference on Learning Representations (ICLR) workshop track, 2016 | 5 | 2016 |
| Analysis of methods for finger vein recognition F Yousefi Middle East Technical University, 2013 | 5 | 2013 |
| Analysis of Widely-used Descriptors for Finger-vein Recognition F Yousefi, E Sivri, O Kaya, S Süloglu, S Kalkan 9th International Joint Conference on Computer Vision, Imaging and Computer …, 2014 | 3 | 2014 |
| Gaussian Processes for Data Scarcity Challenges F Yousefi University of Sheffield, 2021 | | 2021 |
| Active Learning Using Gaussian Processes for Imbalanced Datasets F Yousefi, MA Àlvarez, N Lawrence, CH Ek Neural Information Processing Systems (NeurIPS) workshop on Bayesian …, 2018 | | 2018 |
| An unsupervised computational approach to detect PTEN loss in prostate cancer using an in situ hybridization (ISH) assay F Yousefi, Z Dai, Q Zhong, P Wild, CH Ek, ND Lawrence German Society of Pathology (DGP), oral presentation, 2016 | | 2016 |
| An Unsupervised Approach for Prostate Cancer Diagnosis from Tissue Microarray Images F Yousefi, Z Dai, Q Zhong, P Wild, CH Ek, ND Lawrence Neural Information Processing Systems (NIPS) workshop on Women in Machine …, 2015 | | 2015 |
Mauricio A. ÁlvarezUniversity of ManchesterDirección de correo verificada de manchester.ac.uk
