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 45 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Analysis of the AutoML Challenge Series 2015-2018.
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

Results of the Cause-Effect Pair Challenge.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

2017
An Automated System for Data Attribute Anomaly Detection.
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

Anomaly Detection in Finance: Editors' Introduction.
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

Design of the 2015 ChaLearn AutoML challenge.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Computational Methods for Unraveling Temporal Brain Connectivity Data.
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

Design of the first neuronal connectomics challenge: From imaging to connectivity.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

First Connectomics Challenge: From Imaging to Connectivity.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

2013
Algorithms for discovery of multiple Markov boundaries.
J. Mach. Learn. Res., 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
Time Series Analysis with the Causality Workbench.
Proceedings of the Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, 2011

Inferring the causal decomposition under the presence of deterministic relations.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Analysis and Computational Dissection of Molecular Signature Multiplicity.
PLoS Comput. Biol., 2010

TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Bayesian Algorithms for Causal Data Mining.
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

Development Projects for the CausalityWorkbench.
Proceedings of the Artificial Intelligence for Development, 2010

2009
The FAST-AIMS Clinical Mass Spectrometry Analysis System.
Adv. Bioinformatics, 2009

2008
Design and Analysis of the Causation and Prediction Challenge.
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
Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem.
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

Multicriteria analysis tools in real-life problems.
Comput. Math. Appl., 2006

Generating Realistic Large Bayesian Networks by Tiling.
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

Time and sample efficient discovery of Markov blankets and direct causal relations.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Identifying Markov Blankets with Decision Tree Induction.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Algorithms for Large Scale Markov Blanket Discovery.
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

HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection.
Proceedings of the AMIA 2003, 2003


  Loading...