Daniel P. Berrar

Publication Activity (10 Years)

Years Active: 2003-2017
Publications (10 Years): 2

Top Topics

Machine Learning

Significance Tests

Top Venues

Briefings Bioinform.

J. Artif. Intell. Res.

Publications

Daniel P. Berrar, Philippe Lopes, Werner Dubitzky
Caveats and pitfalls in crowdsourcing research: the case of soccer referee bias. Int. J. Data Sci. Anal. 4 (2) (2017)
Daniel P. Berrar, Werner Dubitzky
On the Jeffreys-Lindley Paradox and the Looming Reproducibility Crisis in Machine Learning. DSAA (2017)
Daniel P. Berrar
An Empirical Evaluation of Ranking Measures With Respect to Robustness to Noise. J. Artif. Intell. Res. 49 (2014)
Daniel P. Berrar, Akihiko Konagaya, Alfons Schuster
Turing Test Considered Mostly Harmless. New Gener. Comput. 31 (4) (2013)
Daniel P. Berrar, José Antonio Lozano
Significance tests or confidence intervals: which are preferable for the comparison of classifiers? J. Exp. Theor. Artif. Intell. 25 (2) (2013)
Daniel P. Berrar, Peter A. Flach
Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them). Briefings Bioinform. 13 (1) (2012)
Daniel P. Berrar
Null QQ plots: A simple graphical alternative to significance testing for the comparison of classifiers. ICPR (2012)
Alfons Schuster, Daniel P. Berrar
The Omnipresent Computing Menace to Information Society. J. Adv. Comput. Intell. Intell. Informatics 15 (7) (2011)
Daniel P. Berrar, Georg Ohmayer
Multidimensional scaling with discrimination coefficients for supervised visualization of high-dimensional data. Neural Comput. Appl. 20 (8) (2011)
Daniel P. Berrar, Naoyuki Sato, Alfons Schuster
Quo Vadis, Artificial Intelligence? Adv. Artif. Intell. 2010 (2010)
Daniel P. Berrar, Naoyuki Sato, Alfons Schuster
Artificial Intelligence in Neuroscience and Systems Biology: Lessons Learnt, Open Problems, and the Road Ahead. Adv. Artif. Intell. 2010 (2010)
Jeyakumar Natarajan, Daniel P. Berrar, Werner Dubitzky, Catherine J. Hack, Yonghong Zhang, Catherine DeSesa, James R. Van Brocklyn, Eric G. Bremer
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. BMC Bioinform. 7 (2006)
Cândida G. Silva, Vitaliy Ostropytskyy, Nuno Loureiro-Ferreira, Daniel P. Berrar, Martin T. Swain, Werner Dubitzky, Rui M. M. Brito
P-found: The Protein Folding and Unfolding Simulation Repository. CIBCB (2006)
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
Instance-based concept learning from multiclass DNA microarray data. BMC Bioinform. 7 (2006)
Daniel P. Berrar, Werner Dubitzky
Neural Plasma. IFIP AI (2006)
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
Avoiding model selection bias in small-sample genomic datasets. Bioinform. 22 (10) (2006)
Daniel P. Berrar, Brian Sturgeon, Ian Bradbury, C. Stephen Downes, Werner Dubitzky
Survival Trees for Analyzing Clinical Outcome in Lung Adenocarcinomas Based on Gene Expression Profiles: Identification of Neogenin and Diacylglycerol Kinase Expression as Critical Factors. J. Comput. Biol. 12 (5) (2005)
Frederic T. Stahl, Daniel P. Berrar, Cândida G. Silva, R. J. Rodrigues, Rui M. M. Brito, Werner Dubitzky
Grid warehousing of molecular dynamics protein unfolding data. CCGRID (2005)
Daniel P. Berrar, C. Stephen Downes, Werner Dubitzky
A Probabilistic Neural Network for Gene Selection and Classification of Microarray Data. IC-AI (2003)
Daniel P. Berrar, C. Stephen Downes, Werner Dubitzky
Multiclass Cancer Classification Using Gene Expression Profiling and Probabilistic Neural Networks. Pacific Symposium on Biocomputing (2003)