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ORCIDNiharika Gauraha
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2020 – today
- 2023
[c10]Niharika Gauraha, Henrik Boström:
Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning. COPA 2023: 470-484- 2021
- [j2]Andrea Morger, Fredrik Svensson, Staffan Arvidsson McShane, Niharika Gauraha, Ulf Norinder, Ola Spjuth, Andrea Volkamer
:
Assessing the calibration in toxicological in vitro models with conformal prediction. J. Cheminformatics 13(1): 35 (2021) - [c9]Niharika Gauraha, Ola Spjuth:
Synergy conformal prediction. COPA 2021: 91-110 - [c8]Niharika Gauraha, Ola Spjuth:
Synergy Conformal Prediction for Regression. ICPRAM 2021: 212-221 - 2020
- [j1]Niharika Gauraha, Swapan K. Parui:
Mutual conditional independence and its applications to model selection in Markov networks. Ann. Math. Artif. Intell. 88(9): 951-972 (2020)
2010 – 2019
- 2019
- [c7]Niharika Gauraha, Fabian Söderdahl, Ola Spjuth:
Split knowledge transfer in learning under privileged information framework. COPA 2019: 43-52 - [c6]Ola Spjuth, Robin Carrión Brännström, Lars Carlsson, Niharika Gauraha:
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets. COPA 2019: 53-65 - [i6]Ola Spjuth, Robin Carrión Brännström, Lars Carlsson, Niharika Gauraha:
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets. CoRR abs/1908.05571 (2019) - 2018
- [c5]Niharika Gauraha, Lars Carlsson, Ola Spjuth:
Conformal prediction in learning under privileged information paradigm with applications in drug discovery. COPA 2018: 147-156 - [i5]Niharika Gauraha, Lars Carlsson, Ola Spjuth:
Conformal Prediction in Learning Under Privileged Information Paradigm with Applications in Drug Discovery. CoRR abs/1803.11136 (2018) - [i4]Niharika Gauraha, Ola Spjuth:
conformalClassification: A Conformal Prediction R Package for Classification. CoRR abs/1804.05494 (2018) - [i3]Ola Spjuth, Lars Carlsson, Niharika Gauraha:
Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction. CoRR abs/1806.04000 (2018) - [i2]Niharika Gauraha, Akshay Chaturvedi:
A Limitation of V-Matrix based Methods. CoRR abs/1809.01706 (2018) - 2017
- [c4]Niharika Gauraha, Tatyana Pavlenko, Swapan K. Parui:
Post Lasso Stability Selection for High Dimensional Linear Models. ICPRAM 2017: 638-646 - [c3]Niharika Gauraha, Swapan K. Parui:
Pre-Selection in Cluster Lasso Methods for Correlated Variable Selection in High-Dimensional Linear Models. DKB/KIK@KI 2017: 43-55 - [c2]Niharika Gauraha, Swapan K. Parui:
A New Combined Approach for Inference in High-Dimensional Regression Models with Correlated Variables. DKB/KIK@KI 2017: 56-63 - 2016
- [c1]Niharika Gauraha:
Stability Feature Selection using Cluster Representative LASSO. ICPRAM 2016: 381-386 - [i1]Niharika Gauraha, Swapan K. Parui:
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models. CoRR abs/1603.03724 (2016)
Coauthor Index
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