1 | -- | 2 | Alexander Gammerman, Vladimir Vovk. Foreword to this special issue: conformal and probabilistic prediction with applications |
3 | -- | 19 | Vladimir Vapnik, Rauf Izmailov. Knowledge transfer in SVM and neural networks |
21 | -- | 46 | Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, Alexander Gammerman. Criteria of efficiency for set-valued classification |
47 | -- | 70 | Vladimir Vovk, Dusko Pavlovic. Universal probability-free prediction |
71 | -- | 84 | Anthony Bellotti. Reliable region predictions for automated valuation models |
85 | -- | 104 | Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters. Conformal decision-tree approach to instance transfer |
105 | -- | 123 | Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman. Conformal prediction of biological activity of chemical compounds |
125 | -- | 144 | Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson. Accelerating difficulty estimation for conformal regression forests |
145 | -- | 154 | Ernst Ahlberg, Oscar Hammar, Claus Bendtsen, Lars Carlsson. Current application of conformal prediction in drug discovery - Two useful applications |
155 | -- | 166 | Claus Bendtsen, Andrea Degasperi, Ernst Ahlberg, Lars Carlsson. Improving machine learning in early drug discovery |
167 | -- | 186 | Alexey Zaytsev, Evgeny Burnaev. Large scale variable fidelity surrogate modeling |
187 | -- | 207 | Evgeny Burnaev, Ivan Panin, Bruno Sudret. Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions |
209 | -- | 240 | Alexander P. Kuleshov, Alexander Bernstein. Nonlinear multi-output regression on unknown input manifold |