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ORCIDAlexander R. Statnikov
Person information
- affiliation: American Express, New York, NY, USA
- affiliation: New York University, Langone Medical Center, NY, USA
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2010 – 2019
- 2019
[p2]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, Evelyne Viegas:
Analysis of the AutoML Challenge Series 2015-2018. Automated Machine Learning 2019: 177-219- [p1]Isabelle Guyon, Alexander R. Statnikov:
Results of the Cause-Effect Pair Challenge. Cause Effect Pairs in Machine Learning 2019: 237-256 - [e4]Isabelle Guyon, Alexander R. Statnikov, Berna Bakir Batu:
Cause Effect Pairs in Machine Learning. Springer 2019, ISBN 978-3-030-21809-6 [contents] - 2018
- [e3]Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu:
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, ADF@KDD 2017, Halifax, Nova Scotia, Canada, August 14, 2017. Proceedings of Machine Learning Research 71, PMLR 2018 [contents] - 2017
- [c28]Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu:
Anomaly Detection in Finance: Editors' Introduction. ADF@KDD 2017: 1-7 - [c27]David Love, Nalin Aggarwal, Alexander R. Statnikov, Chao Yuan:
An Automated System for Data Attribute Anomaly Detection. ADF@KDD 2017: 95-101 - 2016
- [c26]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: 21-30 - 2015
- [j15]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: 3219-3267 (2015) - [c25]Bisakha Ray, Constantin F. Aliferis, Alexander R. Statnikov:
Computational Methods for Unraveling Temporal Brain Connectivity Data. AMIA 2015 - [c24]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: 1-8 - 2014
- [j14]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): 1964-1987 (2014) - [c23]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: 1-22 - [c22]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: 2600-2607 - [c21]Yin Aphinyanaphongs, Bisakha Ray, Alexander R. Statnikov, Paul Krebs:
Text classification for automatic detection of alcohol use-related tweets: A feasibility study. IRI 2014: 93-97 - 2013
- [j13]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): S1 (2013) - [j12]Alexander R. Statnikov, Jan Lemeire, Constantin F. Aliferis:
Algorithms for discovery of multiple Markov boundaries. J. Mach. Learn. Res. 14(1): 499-566 (2013) - 2012
- [j11]Roman B. Statnikov, Josef Matusov, Alexander R. Statnikov:
Multicriteria Engineering Optimization Problems: Statement, Solution and Applications. J. Optim. Theory Appl. 155(2): 355-375 (2012) - 2011
- [c20]Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu, Alexander R. Statnikov:
Inferring the causal decomposition under the presence of deterministic relations. ESANN 2011 - [c19]Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis:
Time Series Analysis with the Causality Workbench. NIPS Mini-Symposium on Causality in Time Series 2011: 115-139 - [e2]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire, Alexander R. Statnikov:
Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010, Sardinia, Italy, May 16, 2010. JMLR Proceedings 16, JMLR.org 2011 [contents] - 2010
- [j10]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: 171-234 (2010) - [j9]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: 235-284 (2010) - [j8]Alexander R. Statnikov, Constantin F. Aliferis:
Analysis and Computational Dissection of Molecular Signature Multiplicity. PLoS Comput. Biol. 6(5) (2010) - [c18]Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov:
Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development 2010 - [c17]Subramani Mani, Constantin F. Aliferis, Alexander R. Statnikov:
Bayesian Algorithms for Causal Data Mining. NIPS Causality: Objectives and Assessment 2010: 121-136 - [c16]Alexander R. Statnikov, Constantin F. Aliferis:
TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. NIPS Causality: Objectives and Assessment 2010: 249-256
2000 – 2009
- 2009
- [j7]Nafeh Fananapazir, Alexander R. Statnikov, Constantin F. Aliferis:
The FAST-AIMS Clinical Mass Spectrometry Analysis System. Adv. Bioinformatics 2009: 598241:1-598241:4 (2009) - 2008
- [b1]Alexander R. Statnikov:
Algorithms for discovery of multiple Markov boundaries: application to the molecular signature multiplicity problem. Vanderbilt University, Nashville, Tennessee, USA, 2008 - [j6]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) - [c15]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: 1-33 - [e1]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov:
Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008. JMLR Proceedings 3, JMLR.org 2008 [contents] - 2007
- [c14]Alexander R. Statnikov, Constantin F. Aliferis:
Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification? AMIA 2007 - [c13]Roman B. Statnikov, Kivanc Ali Anil, Alexander B. Bordetsky, Alexander R. Statnikov:
Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem. MCDM 2007: 341-347 - 2006
- [j5]Roman B. Statnikov, Alexander B. Bordetsky, Alexander R. Statnikov, I. Yanushkevich:
Multicriteria analysis tools in real-life problems. Comput. Math. Appl. 52(1-2): 1-32 (2006) - [j4]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): 446-455 (2006) - [c12]Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis:
Generating Realistic Large Bayesian Networks by Tiling. FLAIRS 2006: 592-597 - 2005
- [j3]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): 631-643 (2005) - [j2]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): 491-503 (2005) - [j1]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): 207-216 (2005) - [c11]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: 1710-1711 - [c10]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 - [c9]Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis:
Using the GEMS System for Supervised Analysis of Cancer Microarray Gene Expression Data. AMIA 2005 - 2004
- [c8]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: 813-817 - 2003
- [c7]Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov:
HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection. AMIA 2003 - [c6]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 2003: 67-71 - [c5]Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov:
Algorithms for Large Scale Markov Blanket Discovery. FLAIRS 2003: 376-381 - [c4]Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov:
Identifying Markov Blankets with Decision Tree Induction. ICDM 2003: 59-66 - [c3]Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov:
Time and sample efficient discovery of Markov blankets and direct causal relations. KDD 2003: 673-678 - [c2]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: 47-53 - [c1]Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown:
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. METMBS 2003: 371-376
Coauthor Index
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