Alexander R. Statnikov
Affiliations:- American Express, New York, NY, USA
- New York University, Langone Medical Center, NY, USA
According to our database1,
Alexander R. Statnikov
authored at least 46 papers
between 2003 and 2019.
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Bibliography
2019
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019
Proceedings of the Cause Effect Pairs in Machine Learning, 2019
2017
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017
2016
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention.
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016
2015
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery.
J. Mach. Learn. Res., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the AMIA 2015, 2015
2014
A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization.
J. Assoc. Inf. Sci. Technol., 2014
Text classification for automatic detection of alcohol use-related tweets: A feasibility study.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014
2013
Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancer.
BMC Syst. Biol., 2013
2012
Multicriteria Engineering Optimization Problems: Statement, Solution and Applications.
J. Optim. Theory Appl., 2012
2011
Proceedings of the Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
PLoS Comput. Biol., 2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions.
J. Mach. Learn. Res., 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation.
J. Mach. Learn. Res., 2010
Proceedings of the Artificial Intelligence for Development, 2010
2009
2008
Algorithms for discovery of multiple Markov boundaries: application to the molecular signature multiplicity problem.
PhD thesis, 2008
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.
BMC Bioinform., 2008
2007
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification?
Proceedings of the AMIA 2007, 2007
2006
Research Paper: A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents.
J. Am. Medical Informatics Assoc., 2006
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006
2005
Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine.
J. Am. Medical Informatics Assoc., 2005
GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data.
Int. J. Medical Informatics, 2005
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.
Bioinform., 2005
Using the <i>GEMS</i> System for Supervised Analysis of Cancer Microarray Gene Expression Data.
Proceedings of the AMIA 2005, 2005
Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases.
Proceedings of the AMIA 2005, 2005
Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data.
Proceedings of the Proceedings, 2005
2004
Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development.
Proceedings of the MEDINFO 2004, 2004
2003
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003
Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003
Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003
Proceedings of the AMIA 2003, 2003