| MOLI: multi-omics late integration with deep neural networks for drug response prediction H Sharifi-Noghabi, O Zolotareva, C Collins, M Ester Bioinformatics 35 (14), i501–i509, 2019 | 336 | 2019 |
| AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics H Sharifi-Noghabi, S Peng, O Zolotareva, C Collins, M Ester Bioinformatics 36 (Supplement_1), i380-i388, 2020 | 55 | 2020 |
| Robust and stable gene selection via maximum–minimum correntropy criterion M Mohammadi, HS Noghabi, GA Hodtani, HR Mashhadi Genomics 107 (2-3), 83-87, 2016 | 42 | 2016 |
| Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning Models H Sharifi Noghabi, S Jahangiri-Tazehkand, P Smirnov, C Hon, ... Briefings in Bioinformatics, 2021 | 40 | 2021 |
| Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction H Sharifi-Noghabi, PA Harjandi, O Zolotareva, CC Collins, M Ester Nature Machine Intelligence 3 (11), 962-972, 2021 | 33 | 2021 |
| A novel mutation operator based on the union of fitness and design spaces information for Differential Evolution H Sharifi-Noghabi, H Rajabi Mashhadi, K Shojaee Soft Computing, 2016 | 24* | 2016 |
| Domain Generalization via Semi-supervised Meta Learning H Sharifi-Noghabi, H Asghari, N Mehrasa, M Ester arXiv, 2020 | 17 | 2020 |
| Deep Genomic Signature for early metastasis prediction in prostate cancer H Sharifi-Noghabi, Y Liu, N Erho, R Shrestha, M Alshalalfa, E Davicioni, ... RECOMB-CCB, 2019 | 16 | 2019 |
| Interpretable Drug Response Prediction using a Knowledge-based Neural Network O Snow, H Sharifi-Noghabi, J Lu, O Zolotareva, M Lee, M Ester Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 15* | 2021 |
| Cancer classification by correntropy-based sparse compact incremental learning machine M Nayyeri, HS Noghabi Gene Reports 3, 31-38, 2016 | 6 | 2016 |
| Robust Group Fused Lasso for Multisample Copy Number Variation Detection under Uncertainty H Sharifi Noghabi, M Mohammadi, YH Tan IET Systems Biology, 2016 | 4* | 2016 |
| Implementing A Greedy Chain Routing Technique With Spread Spectrum On Grid-Based WSNs HS Noghabi, AG Askar, A Boustani, A Moghani, MB Zanjani International Journal of Wireless & Mobile Networks 4 (4), 2012 | 2 | 2012 |
| Enhance Time Series Modeling by Integrating LLM C Chen, GL Oliveira, H Sharifi-Noghabi, T Sylvain NeurIPS Workshop on Time Series in the Age of Large Models, 2024 | 1 | 2024 |
| Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics A Vani, F Tung, GL Oliveira, H Sharifi-Noghabi Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| Consistency of in vitro drug sensitivities within pharmacological classes C Hon, S Nair, P Smirnov, H Sharifi-Noghabi, N Feizi, S Shepherd, ... Journal of Undergraduate Life Sciences 15 (1), 12-12, 2021 | 1 | 2021 |
| Deep transfer learning for drug response prediction H Sharifi Noghabi Simon Fraser University, 2021 | | 2021 |
| Generalized differential evolution H Sharifi-Noghabi, H Rajabi-Mashhadi, K Shojaee Computer and Knowledge Engineering (ICCKE), 2017 7th International Conference on, 2017 | | 2017 |
Martin EsterDistinguished Professor of Computer Science, Simon Fraser Universitycs.sfu.ca의 이메일 확인됨