Niharika Gauraha
According to our database1,
Niharika Gauraha
authored at least 16 papers
between 2016 and 2023.
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Bibliography
2023
Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
2021
Assessing the calibration in toxicological in vitro models with conformal prediction.
J. Cheminformatics, 2021
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
2020
Mutual conditional independence and its applications to model selection in Markov networks.
Ann. Math. Artif. Intell., 2020
2019
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019
2018
Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction.
CoRR, 2018
CoRR, 2018
Conformal prediction in learning under privileged information paradigm with applications in drug discovery.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018
2017
A New Combined Approach for Inference in High-Dimensional Regression Models with Correlated Variables.
Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief (DKB-2017) and the 5th Workshop KI & Kognition (KIK-2017) co-located with 40th German Conference on Artificial Intelligence (KI 2017), 2017
Pre-Selection in Cluster Lasso Methods for Correlated Variable Selection in High-Dimensional Linear Models.
Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief (DKB-2017) and the 5th Workshop KI & Kognition (KIK-2017) co-located with 40th German Conference on Artificial Intelligence (KI 2017), 2017
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
2016
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models.
CoRR, 2016
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016