Niharika Gauraha

According to our database1, Niharika Gauraha authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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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

Synergy Conformal Prediction for Regression.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Synergy conformal prediction.
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
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Split knowledge transfer in learning under privileged information framework.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

2018
A Limitation of V-Matrix based Methods.
CoRR, 2018

Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction.
CoRR, 2018

conformalClassification: A Conformal Prediction R Package for Classification.
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

Post Lasso Stability Selection for High Dimensional Linear Models.
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

Stability Feature Selection using Cluster Representative LASSO.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016


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