Alexander Statnikov

Overview

Best Publications

• A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis

  Alexander Statnikov;Constantin F. Aliferis;Ioannis Tsamardinos;Douglas Hardin

  1057
  Citations

• A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

  Alexander R. Statnikov;Lily Wang;Constantin F. Aliferis

  833
  Citations

• Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation

  Constantin F. Aliferis;Alexander Statnikov;Ioannis Tsamardinos;Subramani Mani

  643
  Citations

• Algorithms for Large Scale Markov Blanket Discovery

  Ioannis Tsamardinos;Constantin F. Aliferis;Alexander R. Statnikov

  636
  Citations

• Time and sample efficient discovery of Markov blankets and direct causal relations

  Ioannis Tsamardinos;Constantin F. Aliferis;Alexander Statnikov

  452
  Citations

• HITON: a novel Markov Blanket algorithm for optimal variable selection.

  Constantin F. Aliferis;Ioannis Tsamardinos;Alexander R. Statnikov

  404
  Citations

• Quantitative forecasting of PTSD from early trauma responses: A Machine Learning application

  Isaac R. Galatzer-Levy;Karen-Inge Karstoft;Alexander Statnikov;Arieh Y. Shalev

  265
  Citations

• 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

  223
  Citations

• Text Categorization Models for High-Quality Article Retrieval in Internal Medicine

  Yindalon Aphinyanaphongs;Ioannis Tsamardinos;Alexander R. Statnikov;Douglas P. Hardin

  218
  Citations

• Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions

  Constantin F. Aliferis;Alexander Statnikov;Ioannis Tsamardinos;Subramani Mani

  216
  Citations

• A comprehensive evaluation of multicategory classification methods for microbiomic data

  Alexander Statnikov;Mikael Henaff;Varun Narendra;Kranti Konganti

  216
  Citations

• Bridging a translational gap: using machine learning to improve the prediction of PTSD

  Karen-Inge Karstoft;Isaac R Galatzer-Levy;Alexander Statnikov;Zhiguo Li

  164
  Citations

• Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.

  Constantin F. Aliferis;Ioannis Tsamardinos;Alexander R. Statnikov;Laura E. Brown

  151
  Citations

• Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD

  I R Galatzer-Levy;S Ma;A Statnikov;R Yehuda

  144
  Citations

• Design of the 2015 ChaLearn AutoML challenge

  Isabelle Guyon;Kristin Bennett;Gavin Cawley;Hugo Jair Escalante

  137
  Citations

• Analysis of the AutoML Challenge Series 2015–2018

  Isabelle Guyon;Isabelle Guyon;Lisheng Sun-Hosoya;Lisheng Sun-Hosoya;Marc Boullé;Hugo Jair Escalante

  126
  Citations

• Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison

  Alexander Statnikov;Alexander V. Alekseyenko;Zhiguo Li;Mikael Henaff

  119
  Citations

• Design and Analysis of the Causation and Prediction Challenge

  Isabelle Guyon;Constantin F. Aliferis;Gregory F. Cooper;André Elisseeff

  101
  Citations

• 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

  90
  Citations

• 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

  86
  Citations

• A gentle introduction to support vector machines in biomedicine: Volume 1: Theory and methods

  Alexander Statnikov;Constantin F Aliferis;Douglas P Hardin;Isabelle Guyon

  83
  Citations

• 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

  71
  Citations