Using p-values for the comparison of classifiers: pitfalls and alternatives von Berrar, Daniel

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SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams von Wiwatcharakoses, Chayut, Berrar, Daniel

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Deep learning in bioinformatics and biomedicine von Berrar, Daniel, Dubitzky, Werner

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A self-organizing incremental neural network for continual supervised learning von Wiwatcharakoses, Chayut, Berrar, Daniel

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Confidence curves: an alternative to null hypothesis significance testing for the comparison of classifiers von Berrar, Daniel

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Identifying and validating the presence of Guanine-Quadruplexes (G4) within the blood fluke parasite Schistosoma mansoni von Craven, Holly M, Bonsignore, Riccardo, Lenis, Vasilis, Santi, Nicolo, Berrar, Daniel, Swain, Martin, Whiteland, Helen, Casini, Angela, Hoffmann, Karl F

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Guest editorial: special issue on machine learning for soccer von Berrar, Daniel, Lopes, Philippe, Davis, Jesse, Dubitzky, Werner

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Pseudomonas aeruginosa cystic fibrosis isolates of similar RAPD genotype exhibit diversity in biofilm forming ability in vitro von Deligianni, Elena, Pattison, Sally, Berrar, Daniel, Ternan, Nigel G, Haylock, Richard W, Moore, John E, Elborn, Stuart J, Dooley, James S G

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Learning from automatically labeled data: case study on click fraud prediction von Berrar, Daniel

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Incorporating domain knowledge in machine learning for soccer outcome prediction von Berrar, Daniel, Lopes, Philippe, Dubitzky, Werner

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A data- and knowledge-driven framework for developing machine learning models to predict soccer match outcomes von Berrar, Daniel, Lopes, Philippe, Dubitzky, Werner

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Computing machinery and creativity: lessons learned from the Turing test von Peter Berrar, Daniel, Schuster, Alfons

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The anti-fecundity effect of 5-azacytidine (5-AzaC) on Schistosoma mansoni is linked to dis-regulated transcription, translation and stem cell activities von Geyer, Kathrin K., Munshi, Sabrina E., Vickers, Martin, Squance, Michael, Wilkinson, Toby J., Berrar, Daniel, Chaparro, Cristian, Swain, Martin T., Hoffmann, Karl F.

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The Open International Soccer Database for machine learning von Dubitzky, Werner, Lopes, Philippe, Davis, Jesse, Berrar, Daniel

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On the Noise Resilience of Ranking Measures von Berrar, Daniel

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Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them) von BERRAR, Daniel, FLACH, Peter

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Text mining of full-text journal articles combined with gene expression analysis reveals a relationship between sphingosine-1-phosphate and invasiveness of a glioblastoma cell line von Natarajan, Jeyakumar, Berrar, Daniel, Dubitzky, Werner, Hack, Catherine, Zhang, Yonghong, DeSesa, Catherine, Van Brocklyn, James R, Bremer, Eric G

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Instance-based concept learning from multiclass DNA microarray data von Berrar, Daniel, Bradbury, Ian, Dubitzky, Werner

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Should significance testing be abandoned in machine learning? von Berrar, Daniel, Dubitzky, Werner

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An Empirical Evaluation of Ranking Measures With Respect to Robustness to Noise von Berrar, D.

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