| Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020 | 401 | 2020 |
| Machine learning approaches to drug response prediction: challenges and recent progress G Adam, L Rampášek, Z Safikhani, P Smirnov, B Haibe-Kains, ... NPJ precision oncology 4 (1), 19, 2020 | 310 | 2020 |
| PharmacoDB: an integrative database for mining in vitro anticancer drug screening studies P Smirnov, V Kofia, A Maru, M Freeman, C Ho, N El-Hachem, GA Adam, ... Nucleic acids research 46 (D1), D994-D1002, 2018 | 153 | 2018 |
| Massive Analysis Quality Control (MAQC) Society Board of Directors B Haibe-Kains, GA Adam, A Hosny, F Khodakarami Transparency and reproducibility in artificial intelligence. Nature 586 …, 2020 | 54 | 2020 |
| Understanding neural architecture search techniques G Adam, J Lorraine arXiv preprint arXiv:1904.00438, 2019 | 49 | 2019 |
| Hidden risks of machine learning applied to healthcare: unintended feedback loops between models and future data causing model degradation GA Adam, CHK Chang, B Haibe-Kains, A Goldenberg Machine Learning for Healthcare Conference, 710-731, 2020 | 39 | 2020 |
| Towards robust classification model by counterfactual and invariant data generation CH Chang, GA Adam, A Goldenberg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 33 | 2021 |
| Stochastic combinatorial ensembles for defending against adversarial examples GA Adam, P Smirnov, D Duvenaud, B Haibe-Kains, A Goldenberg arXiv preprint arXiv:1808.06645, 2018 | 13 | 2018 |
| Error amplification when updating deployed machine learning models GA Adam, CHK Chang, B Haibe-Kains, A Goldenberg Machine Learning for Healthcare Conference, 715-740, 2022 | 11 | 2022 |
| Reducing adversarial example transferability using gradient regularization G Adam, P Smirnov, B Haibe-Kains, A Goldenberg arXiv preprint arXiv:1904.07980, 2019 | 5 | 2019 |
| L. Ramp a sek, Z. Safikhani, P. Smirnov, B. Haibe-Kains, and A. Goldenberg,“ G Adam Machine learning approaches to drug response prediction: Challenges and …, 2020 | 4 | 2020 |
| Evaluating ensemble robustness against adversarial attacks G Adam, R Speciel arXiv preprint arXiv:2005.05750, 2020 | 3 | 2020 |
| Maintaining Stability and Plasticity for Predictive Churn Reduction G Adam, B Haibe-Kains, A Goldenberg arXiv preprint arXiv:2305.04135, 2023 | 1 | 2023 |
| CrosstalkNet: A visualization tool for differential co-expression networks and communities V Manem, GA Adam, T Gruosso, M Gigoux, N Bertos, M Park, ... Cancer Research 78 (8), 2140-2143, 2018 | 1 | 2018 |
| PharmacoDB: an integrative database for mining in vitro drug screening studies P Smirnov, V Kofia, A Maru, M Freeman, C Ho, N El-Hachem, GA Adam, ... bioRxiv, 195149, 2017 | 1 | 2017 |
| Addressing Challenges for Reliable Machine Learning Model Updates GA Adam University of Toronto (Canada), 2024 | | 2024 |
| Extracting Expert's Goals by What-if Interpretable Modeling CH Chang, GA Adam, R Caruana, A Goldenberg arXiv preprint arXiv:2110.15165, 2021 | | 2021 |
| Extracting Clinician's Goals by What-if Interpretable Modeling. CH Chang, GA Adam, R Caruana, A Goldenberg CoRR, 2021 | | 2021 |
| PharmacoDB: an integrative database for miningin vitrodrug screening studies P Smirnov, V Kofia, A Maru, M Freeman, C Ho, N El-Hachem, G Adam, ... | | 2017 |
| CrosstalkNet: mining large-scale bipartite co-expression networks to characterize epi-stroma crosstalk V Manem, G Adam, T Gruosso, M Gigoux, N Bertos, M Park, ... bioRxiv, 102848, 2017 | | 2017 |
