Alexander R. Statnikov

Publication Activity (10 Years)

Years Active: 2003-2017
Publications (10 Years): 3

Top Topics

Automatic Text Categorization

Computational Methods

Anomaly Detection

Top Venues

J. Mach. Learn. Res.

J. Optim. Theory Appl.

Publications

Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu
Anomaly Detection in Finance: Editors' Introduction. ADF@KDD (2017)
David Love, Nalin Aggarwal, Alexander R. Statnikov, Chao Yuan
An Automated System for Data Attribute Anomaly Detection. ADF@KDD (2017)
Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander R. Statnikov, Sébastien Treguer, Evelyne Viegas
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. AutoML@ICML (2016)
Bisakha Ray, Constantin F. Aliferis, Alexander R. Statnikov
Computational Methods for Unraveling Temporal Brain Connectivity Data. AMIA (2015)
Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Núria Macià, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas
Design of the 2015 ChaLearn AutoML challenge. IJCNN (2015)
Alexander R. Statnikov, Sisi Ma, Mikael Henaff, Nikita I. Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. J. Mach. Learn. Res. 16 (2015)
Yindalon Aphinyanaphongs, Lawrence D. Fu, Zhiguo Li, Eric R. Peskin, Efstratios Efstathiadis, Constantin F. Aliferis, Alexander R. Statnikov
A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization. J. Assoc. Inf. Sci. Technol. 65 (10) (2014)
Javier G. Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander R. Statnikov, Olav Stetter, Jordi Soriano
First Connectomics Challenge: From Imaging to Connectivity. Neural Connectomics (2014)
Yin Aphinyanaphongs, Bisakha Ray, Alexander R. Statnikov, Paul Krebs
Text classification for automatic detection of alcohol use-related tweets: A feasibility study. IRI (2014)
Isabelle Guyon, Demian Battaglia, Alice Guyon, Vincent Lemaire, Javier G. Orlandi, Bisakha Ray, Mehreen Saeed, Jordi Soriano, Alexander R. Statnikov, Olav Stetter
Design of the first neuronal connectomics challenge: From imaging to connectivity. IJCNN (2014)
Alexander R. Statnikov, Jan Lemeire, Constantin F. Aliferis
Algorithms for discovery of multiple Markov boundaries. J. Mach. Learn. Res. 14 (1) (2013)
Akshata R. Udyavar, Megan D. Hoeksema, Jonathan E. Clark, Yong Zou, Zuojian Tang, Zhiguo Li, Ming Li, Heidi Chen, Alexander R. Statnikov, Yu Shyr, Daniel C. Liebler, John K. Field, Rosana Eisenberg, Lourdes Estrada, Pierre P. Massion, Vito Quaranta
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. 7 (S-5) (2013)
Roman B. Statnikov, Josef Matusov, Alexander R. Statnikov
Multicriteria Engineering Optimization Problems: Statement, Solution and Applications. J. Optim. Theory Appl. 155 (2) (2012)
Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis
Time Series Analysis with the Causality Workbench. NIPS Mini-Symposium on Causality in Time Series (2011)
Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu, Alexander R. Statnikov
Inferring the causal decomposition under the presence of deterministic relations. ESANN (2011)
Alexander R. Statnikov, Constantin F. Aliferis
Analysis and Computational Dissection of Molecular Signature Multiplicity. PLoS Comput. Biol. 6 (5) (2010)
Alexander R. Statnikov, Constantin F. Aliferis
TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. NIPS Causality: Objectives and Assessment (2010)
Subramani Mani, Constantin F. Aliferis, Alexander R. Statnikov
Bayesian Algorithms for Causal Data Mining. NIPS Causality: Objectives and Assessment (2010)
Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov
Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development (2010)
Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions. J. Mach. Learn. Res. 11 (2010)
Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation. J. Mach. Learn. Res. 11 (2010)
Nafeh Fananapazir, Alexander R. Statnikov, Constantin F. Aliferis
The FAST-AIMS Clinical Mass Spectrometry Analysis System. Adv. Bioinformatics 2009 (2009)
Alexander R. Statnikov, Lily Wang, Constantin F. Aliferis
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. BMC Bioinform. 9 (2008)
Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge (2008)
Roman B. Statnikov, Kivanc Ali Anil, Alexander B. Bordetsky, Alexander R. Statnikov
Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem. MCDM (2007)
Alexander R. Statnikov, Constantin F. Aliferis
Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification? AMIA (2007)
Roman B. Statnikov, Alexander B. Bordetsky, Alexander R. Statnikov, I. Yanushkevich
Multicriteria analysis tools in real-life problems. Comput. Math. Appl. 52 (1-2) (2006)
Yindalon Aphinyanaphongs, Alexander R. Statnikov, Constantin F. Aliferis
Research Paper: A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents. J. Am. Medical Informatics Assoc. 13 (4) (2006)
Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis
Generating Realistic Large Bayesian Networks by Tiling. FLAIRS Conference (2006)
Yindalon Aphinyanaphongs, Ioannis Tsamardinos, Alexander R. Statnikov, Douglas P. Hardin, Constantin F. Aliferis
Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine. J. Am. Medical Informatics Assoc. 12 (2) (2005)
Alexander R. Statnikov, Ioannis Tsamardinos, Yerbolat Dosbayev, Constantin F. Aliferis
GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data. Int. J. Medical Informatics 74 (7-8) (2005)
Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos, Douglas P. Hardin, Shawn Levy
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinform. 21 (5) (2005)
Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis
Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data. AAAI (2005)
Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis
System for Supervised Analysis of Cancer Microarray Gene Expression Data. AMIA (2005)
Stephany Duda, Constantin F. Aliferis, Randolph A. Miller, Alexander R. Statnikov, Kevin B. Johnson
Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases. AMIA (2005)
Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos
Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development. MedInfo (2004)
Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Nafeh Fananapazir, Douglas P. Hardin
Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data. FLAIRS Conference (2003)
Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
Time and sample efficient discovery of Markov blankets and direct causal relations. KDD (2003)
Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
Identifying Markov Blankets with Decision Tree Induction. ICDM (2003)
Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
Algorithms for Large Scale Markov Blanket Discovery. FLAIRS Conference (2003)
Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. METMBS (2003)
Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Douglas P. Hardin
Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. METMBS (2003)
Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov
HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection. AMIA (2003)