Daniel P. Berrar

22 papers B 3C 1Misc 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2017 J jnl
Caveats and pitfalls in crowdsourcing research: the case of soccer referee bias.
Int. J. Data Sci. Anal.
Daniel P. Berrar, Philippe Lopes, Werner Dubitzky
2017 B conf
On the Jeffreys-Lindley Paradox and the Looming Reproducibility Crisis in Machine Learning.
DSAA
Daniel P. Berrar, Werner Dubitzky
2014 — ed.
2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014
BIBM
Huiru Jane Zheng, Werner Dubitzky, Xiaohua Hu, Jin-Kao Hao, Daniel P. Berrar, Kwang-Hyun Cho, Yadong Wang, David R. Gilbert
2014 J jnl
An Empirical Evaluation of Ranking Measures With Respect to Robustness to Noise.
J. Artif. Intell. Res.
Daniel P. Berrar
2013 J jnl
Significance tests or confidence intervals: which are preferable for the comparison of classifiers?
J. Exp. Theor. Artif. Intell.
Daniel P. Berrar, José Antonio Lozano
2013 J jnl
Turing Test Considered Mostly Harmless.
New Gener. Comput.
Daniel P. Berrar, Akihiko Konagaya, Alfons Schuster
2012 J jnl
Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them).
Briefings Bioinform.
Daniel P. Berrar, Peter A. Flach
2012 B conf
Null QQ plots: A simple graphical alternative to significance testing for the comparison of classifiers.
ICPR
Daniel P. Berrar
2011 J jnl
Multidimensional scaling with discrimination coefficients for supervised visualization of high-dimensional data.
Neural Comput. Appl.
Daniel P. Berrar, Georg Ohmayer
2011 J jnl
The Omnipresent Computing Menace to Information Society.
J. Adv. Comput. Intell. Intell. Informatics
Alfons Schuster, Daniel P. Berrar
2010 J jnl
Artificial Intelligence in Neuroscience and Systems Biology: Lessons Learnt, Open Problems, and the Road Ahead.
Adv. Artif. Intell.
Daniel P. Berrar, Naoyuki Sato, Alfons Schuster
2010 J jnl
Quo Vadis, Artificial Intelligence?
Adv. Artif. Intell.
Daniel P. Berrar, Naoyuki Sato, Alfons Schuster
2006 J jnl
Avoiding model selection bias in small-sample genomic datasets.
Bioinform.
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
2006 J jnl
Instance-based concept learning from multiclass DNA microarray data.
BMC Bioinform.
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
2006 — ed.
Knowledge Discovery in Life Science Literature, PAKDD 2006 International Workshop, KDLL 2006, Singapore, April 9, 2006, Proceedings
KDLL
Eric G. Bremer, Jörg Hakenberg, Eui-Hong Han, Daniel P. Berrar, Werner Dubitzky
2006 — conf
Neural Plasma.
IFIP AI
Daniel P. Berrar, Werner Dubitzky
2006 C conf
P-found: The Protein Folding and Unfolding Simulation Repository.
CIBCB
Cândida G. Silva, Vitaliy Ostropytskyy, Nuno Loureiro-Ferreira, Daniel P. Berrar, Martin T. Swain, Werner Dubitzky, Rui M. M. Brito
2006 J jnl
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.
Jeyakumar Natarajan, Daniel P. Berrar, Werner Dubitzky, Catherine J. Hack, Yonghong Zhang, Catherine DeSesa, James R. Van Brocklyn, Eric G. Bremer
2005 B conf
Grid warehousing of molecular dynamics protein unfolding data.
CCGRID
Frederic T. Stahl, Daniel P. Berrar, Cândida G. Silva, R. J. Rodrigues, Rui M. M. Brito, Werner Dubitzky
2005 J jnl
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.
Daniel P. Berrar, Brian Sturgeon, Ian Bradbury, C. Stephen Downes, Werner Dubitzky
2003 Misc conf
A Probabilistic Neural Network for Gene Selection and Classification of Microarray Data.
IC-AI
Daniel P. Berrar, C. Stephen Downes, Werner Dubitzky
2003 Misc conf
Multiclass Cancer Classification Using Gene Expression Profiling and Probabilistic Neural Networks.
Pacific Symposium on Biocomputing
Daniel P. Berrar, C. Stephen Downes, Werner Dubitzky