Daniel P. Berrar

22 papers B 3C 1Misc 2Journal 13Unranked 1

Year	Rank	Type	Title / 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