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Editors: Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni Smirnov, Giovanni Cherubin
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Preface
Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni Smirnov, Giovanni Cherubin, Marco Christini; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:1-3
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Complete statistical theory of learning: learning using statistical invariants
; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:4-40
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Constructing normalized nonconformity measures based on maximizing predictive efficiency
Anthony Bellotti; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:41-54
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Training conformal predictors
Nicolo Colombo, Vladimir Vovk; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:55-64
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Conformal multi-target regression using neural networks
Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:65-83
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Conformal calibrators
Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alexander Gammerman, Ernst Ahlberg, Lars Carlsson; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:84-99
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A histogram based betting function for conformal martingales
Charalambos Eliades, Harris Papadopoulos; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:100-113
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Mondrian conformal regressors
Henrik Boström, Ulf Johansson; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:114-133
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Evaluating different approaches to calibrating conformal predictive systems
Hugo Werner, Lars Carlsson, Ernst Ahlberg, Henrik Boström.; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:134-150
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Conformal anomaly detection for visual reconstruction using gestalt principles
Ilia Nouretdinov, Alexander Balinsky, Alexander Gammerman; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:151-170
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Mixing past predictions
Alexander Korotin, Vladimir V’yugin, Evgeny Burnaev; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:171-188
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Fast probabilistic prediction for kernel SVM via enclosing balls
Nery Riquelme-Granada, Khuong An Nguyen, Zhiyuan Luo; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:189-208
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Practical investment with the long-short game
Najim Al-Baghdadi, David Lindsay, Yuri Kalnishkan, Sian Lindsay; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:209-228
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Batch mode active learning for mitotic phenotypes using conformal prediction
Adam Corrigan, Philip Hopcroft, Ana Narvaez, Claus Bendtsen; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:229-243
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A conformalized density-based clustering analysis of malicious traffic for botnet detection
Bahareh Mohammadi Kiani; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:244-256
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Classication of aerosol particles using inductive conformal prediction
Linn Karlsson, Henrik Boström, Paul Zieger; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:257-268
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BERT-based conformal predictor for sentiment analysis
Lysimachos Maltoudoglou, Andreas Paisios, Harris Papadopoulos; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:269-284
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Application of conformal prediction interval estimations to market makers’ net positions
Wojciech Wisniewski, David Lindsay, Sian Lindsay; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:285-301
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