Alexander R. Statnikov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
9
Active years
2003–2017
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2017 | KDD | Anomaly Detection in Finance: Editors' Introduction. | Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu |
| 2017 | KDD | An Automated System for Data Attribute Anomaly Detection. | David Love, Nalin Aggarwal, Alexander R. Statnikov, Chao Yuan |
| 2016 | ICML | 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, Nria Maci, Bisakha Ray, Lukasz Romaszko, Michle Sebag, Alexander R. Statnikov, Sbastien Treguer, Evelyne Viegas |
| 2015 | AMIA | Computational Methods for Unraveling Temporal Brain Connectivity Data. | Bisakha Ray, Constantin F. Aliferis, Alexander R. Statnikov |
| 2015 | IJCNN | Design of the 2015 ChaLearn AutoML challenge. | Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Nria Maci, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas |
| 2014 | IJCNN | Design of the first neuronal connectomics challenge: From imaging to connectivity. | Isabelle Guyon, Demian Battaglia, Alice Guyon, Vincent Lemaire, Javier G. Orlandi, Bisakha Ray, Mehreen Saeed, Jordi Soriano, Alexander R. Statnikov, Olav Stetter |
| 2014 | IRI | Text classification for automatic detection of alcohol use-related tweets: A feasibility study. | Yin Aphinyanaphongs, Bisakha Ray, Alexander R. Statnikov, Paul Krebs |
| 2011 | ESANN | Inferring the causal decomposition under the presence of deterministic relations. | Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu, Alexander R. Statnikov |
| 2007 | AMIA | Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification? | Alexander R. Statnikov, Constantin F. Aliferis |
| 2006 | FlAIRS | Generating Realistic Large Bayesian Networks by Tiling. | Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis |
| 2005 | AAAI | Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data. | Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis |
| 2005 | AMIA | 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 |
| 2005 | AMIA | Using the | Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis |
| 2003 | AMIA | HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection. | Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov |
| 2003 | FlAIRS | 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 |
| 2003 | FlAIRS | Algorithms for Large Scale Markov Blanket Discovery. | Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov |
| 2003 | ICDM | Identifying Markov Blankets with Decision Tree Induction. | Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov |
| 2003 | KDD | Time and sample efficient discovery of Markov blankets and direct causal relations. | Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov |