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Alexander 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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