| 2018 | AMIA | Developing a Clinico-Molecular Test for Individualized Treatment of Ovarian Cancer: The interplay of Precision Medicine Informatics with Clinical and Health Economics Dimensions. | Boris Winterhoff, Stefan Kommoss, Florian Heitz, Gottfried Konecny, Sean Dowdy, Sally Mullany, Tjoung-won Simon, Klaus Baumann, Felix Hilpert, Sara Brucker, Andreas du Bios, Willibald Schrde, Alexander Burges, Steven Shen, Jinhua Wang, Roshan Tourani, Sisi Ma, Jacobus Pfisterer, Constantin F. Aliferis |
| 2015 | AMIA | Computational Methods for Unraveling Temporal Brain Connectivity Data. | Bisakha Ray, Constantin F. Aliferis, Alexander R. Statnikov |
| 2013 | AMIA | Informaticians, CxIOs and Industry: Strengthening the Fabric of HealthIT. | Titus Schleyer, Blackford Middleton, Bret Shillingstad, J. Marc Overhage, Constantin F. Aliferis |
| 2008 | AMIA | Models for Predicting and Explaining Citation Count of Biomedical Articles. | Lawrence D. Fu, Constantin F. Aliferis |
| 2007 | AIME | A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data. | Subramani Mani, Constantin F. Aliferis |
| 2007 | AMIA | Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification? | Alexander R. Statnikov, Constantin F. Aliferis |
| 2006 | AMIA | Prospective Validation of Text Categorization Filters for Identifying High-Quality, Content-Specific Articles in MEDLINE. | Yindalon Aphinyanaphongs, 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 | A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms. | Laura E. Brown, Ioannis Tsamardinos, 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 | Formative Evaluation of a Prototype System for Automated Analysis of Mass Spectrometry Data. | Nafeh Fananapazir, M. Li, D. Spentzos, Constantin F. Aliferis |
| 2005 | AMIA | Modeling Clinical Judgment and Implicit Guideline Compliance in the Diagnosisof Melanomas Using Machine Learning. | Andrea Sboner, Constantin F. Aliferis |
| 2005 | AMIA | Using the | Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis |
| 2004 | ICML | A theoretical characterization of linear SVM-based feature selection. | Douglas P. Hardin, Ioannis Tsamardinos, Constantin F. Aliferis |
| 2003 | AISTATS | Towards Principled Feature Selection: Relevancy, Filters and Wrappers. | 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 | AMIA | Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine. | Yindalon Aphinyanaphongs, Constantin F. Aliferis |
| 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 |
| 2002 | AMIA | Machine learning models for lung cancer classification using array comparative genomic hybridization. | Constantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion |
| 1998 | AMIA | Temporal representation design principles: an assessment in the domain of liver transplantation. | Constantin F. Aliferis, Gregory F. Cooper |
| 1996 | UAI | A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. | Constantin F. Aliferis, Gregory F. Cooper |
| 1994 | UAI | An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. | Constantin F. Aliferis, Gregory F. Cooper |