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1702.00518
Cited By
Recovering True Classifier Performance in Positive-Unlabeled Learning
AAAI Conference on Artificial Intelligence (AAAI), 2017
2 February 2017
Shantanu Jain
Martha White
P. Radivojac
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Papers citing
"Recovering True Classifier Performance in Positive-Unlabeled Learning"
16 / 16 papers shown
Improved proteasomal cleavage prediction with positive-unlabeled learning
Emilio Dorigatti
B. Bischl
B. Schubert
191
6
0
14 Sep 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Emilio Dorigatti
Jann Goschenhofer
B. Schubert
Mina Rezaei
B. Bischl
293
5
0
31 Jan 2022
Noise-tolerant fair classification
Neural Information Processing Systems (NeurIPS), 2019
A. Lamy
Ziyuan Zhong
A. Menon
Nakul Verma
NoLa
381
79
0
30 Jan 2019
Context-Dependent Upper-Confidence Bounds for Directed Exploration
Neural Information Processing Systems (NeurIPS), 2018
Raksha Kumaraswamy
M. Schlegel
Adam White
Martha White
OffRL
268
13
0
15 Nov 2018
Learning from positive and unlabeled data: a survey
Jessa Bekker
Jesse Davis
265
658
0
12 Nov 2018
Identifiability of two-component skew normal mixtures with one known component
Scandinavian Journal of Statistics (Scand. J. Stat.), 2017
Shantanu Jain
M. Levine
P. Radivojac
M. Trosset
132
3
0
29 Dec 2017
Classification in biological networks with hypergraphlet kernels
Jose Lugo-Martinez
P. Radivojac
121
33
0
14 Mar 2017
Class-prior Estimation for Learning from Positive and Unlabeled Data
M. C. D. Plessis
Gang Niu
Masashi Sugiyama
199
173
0
05 Nov 2016
Estimating the class prior and posterior from noisy positives and unlabeled data
Neural Information Processing Systems (NeurIPS), 2016
Shantanu Jain
Martha White
P. Radivojac
NoLa
188
130
0
28 Jun 2016
Mixture Proportion Estimation via Kernel Embedding of Distributions
H. G. Ramaswamy
Clayton Scott
Ambuj Tewari
279
218
0
08 Mar 2016
Nonparametric semi-supervised learning of class proportions
Shantanu Jain
Martha White
M. Trosset
P. Radivojac
159
59
0
08 Jan 2016
Assessing binary classifiers using only positive and unlabeled data
Marc Claesen
Jesse Davis
F. Smet
B. De Moor
193
20
0
26 Apr 2015
Class Proportion Estimation with Application to Multiclass Anomaly Rejection
International Conference on Artificial Intelligence and Statistics (AISTATS), 2013
Tyler Sanderson
Clayton Scott
183
49
0
21 Jun 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Annual Conference Computational Learning Theory (COLT), 2013
Gilles Blanchard
Marek Flaska
G. Handy
Sara Pozzi
Clayton Scott
NoLa
363
256
0
05 Mar 2013
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
International Conference on Machine Learning (ICML), 2012
Kendrick Boyd
Vítor Santos Costa
Jesse Davis
David Page
UQCV
243
114
0
18 Jun 2012
Sample Selection Bias Correction Theory
International Conference on Algorithmic Learning Theory (ALT), 2008
Corinna Cortes
M. Mohri
Michael Riley
Afshin Rostamizadeh
334
361
0
19 May 2008
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