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ORCIDCOPA 2017: Stockholm, Sweden
- Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Harris Papadopoulos:
Conformal and Probabilistic Prediction and Applications, COPA 2017, 13-16 June 2017, Stockholm, Sweden. Proceedings of Machine Learning Research 60, PMLR 2017 - Preface. 1-2
- Vladimir V. V'yugin:
Online Aggregation of Unbounded Signed Losses Using Shifting Experts. 3-17 - Yury Yanovich:
Asymptotic Properties of Nonparametric Estimation on Manifold. 18-38 - Paolo Toccaceli, Alexander Gammerman:
Combination of Conformal Predictors for Classification. 39-61 - Charalambos Eliades, Harris Papadopoulos:
Conformal Prediction for Automatic Face Recognition. 62-81 - Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie:
Nonparametric predictive distributions based on conformal prediction. 82-102 - Ulf Norinder, Fredrik Svensson, Avid M. Afzal, Andreas Bender:
Maximizing Gain in HTS Screening Using Conformal Prediction. 103-117 - Staffan Arvidsson, Ola Spjuth, Lars Carlsson, Paolo Toccaceli:
Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors. 118-131 - Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk:
Inductive Conformal Martingales for Change-Point Detection. 132-153 - Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, Tuve Löfström:
On the Calibration of Aggregated Conformal Predictors. 154-173 - Ernst Ahlberg, Susanne Winiwarter, Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Norinder, Ulf Johansson, Ola Engkvist, Oscar Hammar, Claus Bendtsen, Lars Carlsson:
Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery. 174-184 - Ilia Nouretdinov:
Reverse Conformal Approach for On-line Experimental Design. 185-192 - Ilia Nouretdinov:
Improving Reliable Probabilistic Prediction by Using Additional Knowledge. 193-200 - Lars Carlsson, Claus Bendtsen, Ernst Ahlberg:
Comparing Performance of Different Inductive and Transductive Conformal Predictors Relevant to Drug Discovery. 201-212 - Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov:
Conformal k-NN Anomaly Detector for Univariate Data Streams. 213-227 - Valery Manokhin:
Multi-class probabilistic classification using inductive and cross Venn-Abers predictors. 228-240 - Mikhail Malyutov, Paul Grosu:
SCOT Approximation, Training and Asymptotic Inference. 241-265 - Fan Yang, Xiaolu Gan, Hua-zhen Wang, Lei Feng, Yongxuan Lai:
CP-RAkEL: Improving Random k-labelsets with Conformal Prediction for Multi-label Classification. 266-279
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