HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection. - Constantin F. Aliferis; Ioannis Tsamardinos; Alexander R. Statnikov (AMIA, 2003)

Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data. - Constantin F. Aliferis; Ioannis Tsamardinos; Pierre P. Massion; Alexander R. Statnikov; Nafeh Fananapazir; Douglas P. Hardin (FLAIRS, 2003)

Algorithms for Large Scale Markov Blanket Discovery. - Ioannis Tsamardinos; Constantin F. Aliferis; Alexander R. Statnikov (FLAIRS, 2003)

Identifying Markov Blankets with Decision Tree Induction. - Lewis J. Frey; Douglas H. Fisher; Ioannis Tsamardinos; Constantin F. Aliferis; Alexander R. Statnikov (ICDM, 2003)

Time and sample efficient discovery of Markov blankets and direct causal relations. - Ioannis Tsamardinos; Constantin F. Aliferis; Alexander R. Statnikov (KDD, 2003)

Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. - Constantin F. Aliferis; Ioannis Tsamardinos; Pierre P. Massion; Alexander R. Statnikov; Douglas P. Hardin (METMBS, 2003)

Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. - Constantin F. Aliferis; Ioannis Tsamardinos; Alexander R. Statnikov; Laura E. Brown (METMBS, 2003)

Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development. - Alexander R. Statnikov; Constantin F. Aliferis; Ioannis Tsamardinos (MedInfo, 2004)

Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data. - Alexander R. Statnikov; Ioannis Tsamardinos; Constantin F. Aliferis (AAAI, 2005)

Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases. - Stephany Duda; Constantin F. Aliferis; Randolph A. Miller; Alexander R. Statnikov; Kevin B. Johnson (AMIA, 2005)

Using the GEMS System for Supervised Analysis of Cancer Microarray Gene Expression Data. - Alexander R. Statnikov; Ioannis Tsamardinos; Constantin F. Aliferis (AMIA, 2005)

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. - Alexander R. Statnikov; Constantin F. Aliferis; Ioannis Tsamardinos; Douglas P. Hardin; Shawn Levy (Bioinform., 2005)

GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data. - Alexander R. Statnikov; Ioannis Tsamardinos; Yerbolat Dosbayev; Constantin F. Aliferis (Int. J. Medical Informatics, 2005)

Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine. - Yindalon Aphinyanaphongs; Ioannis Tsamardinos; Alexander R. Statnikov; Douglas P. Hardin; Constantin F. Aliferis (J. Am. Medical Informatics Assoc., 2005)

Generating Realistic Large Bayesian Networks by Tiling. - Ioannis Tsamardinos; Alexander R. Statnikov; Laura E. Brown; Constantin F. Aliferis (FLAIRS, 2006)

Multicriteria analysis tools in real-life problems. - Roman B. Statnikov; Alexander B. Bordetsky; Alexander R. Statnikov; I. Yanushkevich (Comput. Math. Appl., 2006)

Research Paper: A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents. - Yindalon Aphinyanaphongs; Alexander R. Statnikov; Constantin F. Aliferis (J. Am. Medical Informatics Assoc., 2006)

Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification? - Alexander R. Statnikov; Constantin F. Aliferis (AMIA, 2007)

Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem. - Roman B. Statnikov; Kivanc Ali Anil; Alexander B. Bordetsky; Alexander R. Statnikov (MCDM, 2007)

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. - Alexander R. Statnikov; Lily Wang 001; Constantin F. Aliferis (BMC Bioinform., 2008)

Design and Analysis of the Causation and Prediction Challenge. - Isabelle Guyon; Constantin F. Aliferis; Gregory F. Cooper; André Elisseeff; Jean-Philippe Pellet; Peter Spirtes; Alexander R. Statnikov (WCCI Causation and Prediction Challenge, 2008)

Algorithms for discovery of multiple Markov boundaries: application to the molecular signature multiplicity problem. - Alexander R. Statnikov (2008)

The FAST-AIMS Clinical Mass Spectrometry Analysis System. - Nafeh Fananapazir; Alexander R. Statnikov; Constantin F. Aliferis (Adv. Bioinformatics, 2009)

Development Projects for the CausalityWorkbench. - Isabelle Guyon; Jean-Philippe Pellet; Alexander R. Statnikov (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation. - Constantin F. Aliferis; Alexander R. Statnikov; Ioannis Tsamardinos; Subramani Mani; Xenofon D. Koutsoukos (J. Mach. Learn. Res., 2010)

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions. - Constantin F. Aliferis; Alexander R. Statnikov; Ioannis Tsamardinos; Subramani Mani; Xenofon D. Koutsoukos (J. Mach. Learn. Res., 2010)

Bayesian Algorithms for Causal Data Mining. - Subramani Mani; Constantin F. Aliferis; Alexander R. Statnikov (NIPS Causality: Objectives and Assessment, 2010)

TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. - Alexander R. Statnikov; Constantin F. Aliferis (NIPS Causality: Objectives and Assessment, 2010)

Analysis and Computational Dissection of Molecular Signature Multiplicity. - Alexander R. Statnikov; Constantin F. Aliferis (PLoS Comput. Biol., 2010)

Inferring the causal decomposition under the presence of deterministic relations. - Jan Lemeire; Stijn Meganck; Francesco Cartella; Tingting Liu; Alexander R. Statnikov (ESANN, 2011)

Time Series Analysis with the Causality Workbench. - Isabelle Guyon; Alexander R. Statnikov; Constantin F. Aliferis (NIPS Mini-Symposium on Causality in Time Series, 2011)

Multicriteria Engineering Optimization Problems: Statement, Solution and Applications. - Roman B. Statnikov; Josef Matusov; Alexander R. Statnikov (J. Optim. Theory Appl., 2012)

Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancer. - Akshata R. Udyavar; Megan D. Hoeksema; Jonathan E. Clark; Yong Zou; Zuojian Tang; Zhiguo Li; Ming Li 022; Heidi Chen; Alexander R. Statnikov; Yu Shyr; Daniel C. Liebler; John K. Field; et al. (BMC Syst. Biol., 2013)

Algorithms for discovery of multiple Markov boundaries. - Alexander R. Statnikov; Jan Lemeire; Constantin F. Aliferis (J. Mach. Learn. Res., 2013)

First Connectomics Challenge: From Imaging to Connectivity. - Javier G. Orlandi; Bisakha Ray; Demian Battaglia; Isabelle Guyon; Vincent Lemaire 001; Mehreen Saeed; Alexander R. Statnikov; Olav Stetter; Jordi Soriano (Neural Connectomics, 2014)

Design of the first neuronal connectomics challenge: From imaging to connectivity. - Isabelle Guyon; Demian Battaglia; Alice Guyon; Vincent Lemaire 001; Javier G. Orlandi; Bisakha Ray; Mehreen Saeed; Jordi Soriano; Alexander R. Statnikov; Olav Stetter (IJCNN, 2014)

Text classification for automatic detection of alcohol use-related tweets: A feasibility study. - Yin Aphinyanaphongs; Bisakha Ray; Alexander R. Statnikov; Paul Krebs (IRI, 2014)

A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization. - Yindalon Aphinyanaphongs; Lawrence D. Fu; Zhiguo Li; Eric R. Peskin; Efstratios Efstathiadis; Constantin F. Aliferis; Alexander R. Statnikov (J. Assoc. Inf. Sci. Technol., 2014)

Computational Methods for Unraveling Temporal Brain Connectivity Data. - Bisakha Ray; Constantin F. Aliferis; Alexander R. Statnikov (AMIA, 2015)

Design of the 2015 ChaLearn AutoML challenge. - 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 (IJCNN, 2015)

Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. - Alexander R. Statnikov; Sisi Ma; Mikael Henaff; Nikita I. Lytkin; Efstratios Efstathiadis; Eric R. Peskin; Constantin F. Aliferis (J. Mach. Learn. Res., 2015)

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. - 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; et al. (AutoML@ICML, 2016)

Anomaly Detection in Finance: Editors' Introduction. - Archana Anandakrishnan; Senthil Kumar; Alexander R. Statnikov; Tanveer A. Faruquie; Di Xu (ADF@KDD, 2017)

An Automated System for Data Attribute Anomaly Detection. - David Love; Nalin Aggarwal; Alexander R. Statnikov; Chao Yuan (ADF@KDD, 2017)

Results of the Cause-Effect Pair Challenge. - Isabelle Guyon; Alexander R. Statnikov (Cause Effect Pairs in Machine Learning, 2019)

Analysis of the AutoML Challenge Series 2015-2018. - Isabelle Guyon; Lisheng Sun-Hosoya; Marc Boullé; Hugo Jair Escalante; Sergio Escalera; Zhengying Liu; Damir Jajetic; Bisakha Ray; Mehreen Saeed; Michèle Sebag; Alexander R. Statnikov; Wei-Wei Tu; et al. (Automated Machine Learning, 2019)