| Introduction to the lasso: A convex optimization approach for high-dimensional problems N Gauraha Resonance 23 (4), 439-464, 2018 | 57 | 2018 |
| Assessing the calibration in toxicological in vitro models with conformal prediction A Morger, F Svensson, S Arvidsson McShane, N Gauraha, U Norinder, ... Journal of Cheminformatics 13 (1), 35, 2021 | 14 | 2021 |
| Stability Feature Selection using Cluster Representative LASSO N Gauraha Proceedings of the 5th International Conference on Pattern Recognition …, 2016 | 10 | 2016 |
| Conformal prediction in learning under privileged information paradigm with applications in drug discovery N Gauraha, L Carlsson, O Spjuth Conformal and Probabilistic Prediction and Applications, 147-156, 2018 | 7 | 2018 |
| Synergy conformal prediction N Gauraha, O Spjuth Conformal and Probabilistic Prediction and Applications, 91-110, 2021 | 6 | 2021 |
| Graphical log-linear models: fundamental concepts and applications N Gauraha arXiv preprint arXiv:1603.04122, 2016 | 6 | 2016 |
| Combining prediction intervals on multi-source non-disclosed regression datasets O Spjuth, RC Brännström, L Carlsson, N Gauraha Conformal and Probabilistic Prediction and Applications, 53-65, 2019 | 5 | 2019 |
| Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction O Spjuth, L Carlsson, N Gauraha arXiv preprint arXiv:1806.04000, 2018 | 5 | 2018 |
| Synergy conformal prediction for regression N Gauraha, O Spjuth | 4 | 2019 |
| Split knowledge transfer in learning under privileged information framework N Gauraha, F Söderdahl, O Spjuth Conformal and Probabilistic Prediction and Applications, 43-52, 2019 | 2 | 2019 |
| Dual lasso selector N Gauraha arXiv preprint arXiv:1703.06602, 2017 | 2 | 2017 |
| Efficient clustering of correlated variables and variable selection in high-dimensional linear models N Gauraha, SK Parui arXiv preprint arXiv:1603.03724, 2016 | 2 | 2016 |
| Mutual conditional independence and its applications to model selection in Markov networks N Gauraha, SK Parui Annals of Mathematics and Artificial Intelligence 88, 951-972, 2020 | 1 | 2020 |
| conformalclassification: A conformal prediction R package for classification N Gauraha, O Spjuth arXiv preprint arXiv:1804.05494, 2018 | 1 | 2018 |
| Post Lasso Stability Selection for High Dimensional Linear Models. N Gauraha, T Pavlenko, SK Parui ICPRAM, 638-646, 2017 | 1 | 2017 |
| Pre-Selection in Cluster Lasso Methods for Correlated Variable Selection in High-Dimensional Linear Models. N Gauraha, SK Parui DKB/KIK@ KI, 43-55, 2017 | 1 | 2017 |
| Constraints and conditions: The Lasso Oracle-inequalities N Gauraha arXiv preprint arXiv:1603.06177, 2016 | 1 | 2016 |
| Model Selection for Graphical Log-linear Models: A Forward Model Selection Algorithm based on Mutual Conditional Independence N Gauraha arXiv preprint arXiv:1603.03719, 2016 | 1 | 2016 |
| Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning N Gauraha, H Bostrom Conformal and Probabilistic Prediction with Applications, 470-484, 2023 | | 2023 |
| Totally Ordered Conditional Independence Models N Gauraha, D von Rosen Journal of Mathematical Sciences 273 (5), 722-731, 2023 | | 2023 |
