Alexander R. Statnikov

50 papers A* 3B 3Misc 9Journal 15Unranked 13

Year	Rank	Type	Title / Venue / Authors
2019	—	`ch.`	Analysis of the AutoML Challenge Series 2015-2018. Automated Machine Learning 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
2019	—	`book`	Cause Effect Pairs in Machine Learning Isabelle Guyon, Alexander R. Statnikov, Berna Bakir Batu
2019	—	`ch.`	Results of the Cause-Effect Pair Challenge. Cause Effect Pairs in Machine Learning Isabelle Guyon, Alexander R. Statnikov
2018	—	`ed.`	Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, ADF@KDD 2017, Halifax, Nova Scotia, Canada, August 14, 2017 ADF@KDD Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu
2017	—	`conf`	An Automated System for Data Attribute Anomaly Detection. ADF@KDD David Love, Nalin Aggarwal, Alexander R. Statnikov, Chao Yuan
2017	—	`conf`	Anomaly Detection in Finance: Editors' Introduction. ADF@KDD Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu
2016	—	`conf`	A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. AutoML@ICML 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
2015	Misc	`conf`	Computational Methods for Unraveling Temporal Brain Connectivity Data. AMIA Bisakha Ray, Constantin F. Aliferis, Alexander R. Statnikov
2015	B	`conf`	Design of the 2015 ChaLearn AutoML challenge. IJCNN 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
2015	J	`jnl`	Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. J. Mach. Learn. Res. Alexander R. Statnikov, Sisi Ma, Mikael Henaff, Nikita I. Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis
2014	J	`jnl`	A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization. J. Assoc. Inf. Sci. Technol. Yindalon Aphinyanaphongs, Lawrence D. Fu, Zhiguo Li, Eric R. Peskin, Efstratios Efstathiadis, Constantin F. Aliferis, Alexander R. Statnikov
2014	B	`conf`	Design of the first neuronal connectomics challenge: From imaging to connectivity. IJCNN Isabelle Guyon, Demian Battaglia, Alice Guyon, Vincent Lemaire, Javier G. Orlandi, Bisakha Ray, Mehreen Saeed, Jordi Soriano, Alexander R. Statnikov, Olav Stetter
2014	—	`conf`	First Connectomics Challenge: From Imaging to Connectivity. Neural Connectomics Javier G. Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander R. Statnikov, Olav Stetter, Jordi Soriano
2014	Misc	`conf`	Text classification for automatic detection of alcohol use-related tweets: A feasibility study. IRI Yin Aphinyanaphongs, Bisakha Ray, Alexander R. Statnikov, Paul Krebs
2013	J	`jnl`	Algorithms for discovery of multiple Markov boundaries. J. Mach. Learn. Res. Alexander R. Statnikov, Jan Lemeire, Constantin F. Aliferis
2013	J	`jnl`	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. 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
2012	J	`jnl`	Multicriteria Engineering Optimization Problems: Statement, Solution and Applications. J. Optim. Theory Appl. Roman B. Statnikov, Josef Matusov, Alexander R. Statnikov
2011	—	`ed.`	Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010, Sardinia, Italy, May 16, 2010 Active Learning and Experimental Design @ AISTATS Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire, Alexander R. Statnikov
2011	B	`conf`	Inferring the causal decomposition under the presence of deterministic relations. ESANN Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu, Alexander R. Statnikov
2011	—	`conf`	Time Series Analysis with the Causality Workbench. NIPS Mini-Symposium on Causality in Time Series Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis
2010	J	`jnl`	Analysis and Computational Dissection of Molecular Signature Multiplicity. PLoS Comput. Biol. Alexander R. Statnikov, Constantin F. Aliferis
2010	—	`conf`	Bayesian Algorithms for Causal Data Mining. NIPS Causality: Objectives and Assessment Subramani Mani, Constantin F. Aliferis, Alexander R. Statnikov
2010	—	`conf`	Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov
2010	J	`jnl`	Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation. J. Mach. Learn. Res. Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
2010	J	`jnl`	Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions. J. Mach. Learn. Res. Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
2010	—	`conf`	TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. NIPS Causality: Objectives and Assessment Alexander R. Statnikov, Constantin F. Aliferis
2009	J	`jnl`	The FAST-AIMS Clinical Mass Spectrometry Analysis System. Adv. Bioinformatics Nafeh Fananapazir, Alexander R. Statnikov, Constantin F. Aliferis
2008	J	`jnl`	A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. BMC Bioinform. Alexander R. Statnikov, Lily Wang, Constantin F. Aliferis
2008	—	`—`	Algorithms for discovery of multiple Markov boundaries: application to the molecular signature multiplicity problem. Alexander R. Statnikov
2008	—	`ed.`	Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008 WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008	—	`conf`	Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2007	Misc	`conf`	Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification? AMIA Alexander R. Statnikov, Constantin F. Aliferis
2007	—	`conf`	Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem. MCDM Roman B. Statnikov, Kivanc Ali Anil, Alexander B. Bordetsky, Alexander R. Statnikov
2006	Misc	`conf`	Generating Realistic Large Bayesian Networks by Tiling. FLAIRS Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis
2006	J	`jnl`	Multicriteria analysis tools in real-life problems. Comput. Math. Appl. Roman B. Statnikov, Alexander B. Bordetsky, Alexander R. Statnikov, I. Yanushkevich
2006	J	`jnl`	Research Paper: A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents. J. Am. Medical Informatics Assoc. Yindalon Aphinyanaphongs, Alexander R. Statnikov, Constantin F. Aliferis
2005	J	`jnl`	A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinform. Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos, Douglas P. Hardin, Shawn Levy
2005	Misc	`conf`	Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases. AMIA Stephany Duda, Constantin F. Aliferis, Randolph A. Miller, Alexander R. Statnikov, Kevin B. Johnson
2005	J	`jnl`	GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data. Int. J. Medical Informatics Alexander R. Statnikov, Ioannis Tsamardinos, Yerbolat Dosbayev, Constantin F. Aliferis
2005	J	`jnl`	Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine. J. Am. Medical Informatics Assoc. Yindalon Aphinyanaphongs, Ioannis Tsamardinos, Alexander R. Statnikov, Douglas P. Hardin, Constantin F. Aliferis
2005	Misc	`conf`	Using the AMIA Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis
2005	A*	`conf`	Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data. AAAI Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis
2004	—	`conf`	Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development. MedInfo Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos
2003	Misc	`conf`	Algorithms for Large Scale Markov Blanket Discovery. FLAIRS Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
2003	—	`conf`	Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. METMBS Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown
2003	Misc	`conf`	HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection. AMIA Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov
2003	A*	`conf`	Identifying Markov Blankets with Decision Tree Induction. ICDM Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
2003	Misc	`conf`	Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data. FLAIRS Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Nafeh Fananapazir, Douglas P. Hardin
2003	A*	`conf`	Time and sample efficient discovery of Markov blankets and direct causal relations. KDD Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
2003	—	`conf`	Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. METMBS Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Douglas P. Hardin