Constantin F. Aliferis

According to our database, Constantin F. Aliferis authored at least 62 papers between 1994 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

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 Schröde, Alexander Burges, Steven Shen, Jinhua Wang, Roshan Tourani, Sisi Ma, Jacobus Pfisterer, Constantin F. Aliferis

Proceedings of the AMIA 2018, 2018

2015

Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery.

Alexander R. Statnikov, Sisi Ma, Mikael Henaff, Nikita I. Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis

J. Mach. Learn. Res., 2015

Computational Methods for Unraveling Temporal Brain Connectivity Data.

Bisakha Ray, Constantin F. Aliferis, Alexander R. Statnikov

Proceedings of the AMIA 2015, 2015

2014

A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization.

Yindalon Aphinyanaphongs, Lawrence D. Fu, Zhiguo Li, Eric R. Peskin, Efstratios Efstathiadis, Constantin F. Aliferis, Alexander R. Statnikov

J. Assoc. Inf. Sci. Technol., 2014

Medical decision support using machine learning for early detection of late-onset neonatal sepsis.

Subramani Mani, Asli Ozdas, Constantin F. Aliferis, Huseyin Atakan Varol, Qingxia Chen, Randy J. Carnevale, Yukun Chen, Joann Romano-Keeler, Hui Nian, Jörn-Hendrik Weitkamp

J. Am. Medical Informatics Assoc., 2014

2013

Computer models for identifying instrumental citations in the biomedical literature.

Lawrence D. Fu, Yindalon Aphinyanaphongs, Constantin F. Aliferis

Scientometrics, 2013

Algorithms for discovery of multiple Markov boundaries.

Alexander R. Statnikov, Jan Lemeire, Constantin F. Aliferis

J. Mach. Learn. Res., 2013

An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin

Constantin F. Aliferis, Gregory F. Cooper

CoRR, 2013

Identifying Unproven Cancer Treatments on the Health Web: Addressing Accuracy, Generalizability and Scalability.

Yindalon Aphinyanaphongs, Lawrence D. Fu, Constantin F. Aliferis

Proceedings of the MEDINFO 2013, 2013

Informaticians, CxIOs and Industry: Strengthening the Fabric of HealthIT.

Titus Schleyer, Blackford Middleton, Bret Shillingstad, J. Marc Overhage, Constantin F. Aliferis

Proceedings of the AMIA 2013, 2013

2011

Time Series Analysis with the Causality Workbench.

Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis

Proceedings of the Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, 2011

A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topic.

Lawrence D. Fu, Yindalon Aphinyanaphongs, Lily Wang, Constantin F. Aliferis

J. Biomed. Informatics, 2011

2010

Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature.

Lawrence D. Fu, Constantin F. Aliferis

Scientometrics, 2010

Analysis and Computational Dissection of Molecular Signature Multiplicity.

Alexander R. Statnikov, Constantin F. Aliferis

PLoS Comput. Biol., 2010

TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries.

Alexander R. Statnikov, Constantin F. Aliferis

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Bayesian Algorithms for Causal Data Mining.

Subramani Mani, Constantin F. Aliferis, Alexander R. Statnikov

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions.

Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos

J. Mach. Learn. Res., 2010

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation.

Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos

J. Mach. Learn. Res., 2010

2009

The FAST-AIMS Clinical Mass Spectrometry Analysis System.

Nafeh Fananapazir, Alexander R. Statnikov, Constantin F. Aliferis

Adv. Bioinformatics, 2009

2008

Design and Analysis of the Causation and Prediction Challenge.

Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov

Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.

Alexander R. Statnikov, Lily Wang, Constantin F. Aliferis

BMC Bioinform., 2008

Models for Predicting and Explaining Citation Count of Biomedical Articles.

Lawrence D. Fu, Constantin F. Aliferis

Proceedings of the AMIA 2008, 2008

2007

Learning Causal and Predictive Clinical Practice Guidelines from Data.

Subramani Mani, Constantin F. Aliferis, Shanthi Krishnaswami, Theodore Kotchen

Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

A Comparison of Impact Factor, Clinical Query Filters, and Pattern Recognition Query Filters in Terms of Sensitivity to Topic.

Lawrence D. Fu, Lily Wang, Yindalon Aphinyanagphongs, Constantin F. Aliferis

Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

Text Categorization Models for Identifying Unproven Cancer Treatments on the Web.

Yindalon Aphinyanaphongs, Constantin F. Aliferis

Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification?

Alexander R. Statnikov, Constantin F. Aliferis

Proceedings of the AMIA 2007, 2007

A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data.

Subramani Mani, Constantin F. Aliferis

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

The max-min hill-climbing Bayesian network structure learning algorithm.

Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis

Mach. Learn., 2006

Research Paper: Using Citation Data to Improve Retrieval from MEDLINE.

Elmer V. Bernstam, Jorge R. Herskovic, Yindalon Aphinyanaphongs, Constantin F. Aliferis, Madurai G. Sriram, William R. Hersh

J. Am. Medical Informatics Assoc., 2006

Research Paper: A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents.

Yindalon Aphinyanaphongs, Alexander R. Statnikov, Constantin F. Aliferis

J. Am. Medical Informatics Assoc., 2006

Generating Realistic Large Bayesian Networks by Tiling.

Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

Prospective Validation of Text Categorization Filters for Identifying High-Quality, Content-Specific Articles in MEDLINE.

Yindalon Aphinyanaphongs, Constantin F. Aliferis

Proceedings of the AMIA 2006, 2006

2005

Predicting dire outcomes of patients with community acquired pneumonia.

Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell

J. Biomed. Informatics, 2005

Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine.

Yindalon Aphinyanaphongs, Ioannis Tsamardinos, Alexander R. Statnikov, Douglas P. Hardin, Constantin F. Aliferis

J. Am. Medical Informatics Assoc., 2005

GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data.

Alexander R. Statnikov, Ioannis Tsamardinos, Yerbolat Dosbayev, Constantin F. Aliferis

Int. J. Medical Informatics, 2005

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.

Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos, Douglas P. Hardin, Shawn Levy

Bioinform., 2005

Using the <i>GEMS</i> System for Supervised Analysis of Cancer Microarray Gene Expression Data.

Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the AMIA 2005, 2005

Modeling Clinical Judgment and Implicit Guideline Compliance in the Diagnosisof Melanomas Using Machine Learning.

Andrea Sboner, Constantin F. Aliferis

Proceedings of the AMIA 2005, 2005

Formative Evaluation of a Prototype System for Automated Analysis of Mass Spectrometry Data.

Nafeh Fananapazir, M. Li, D. Spentzos, Constantin F. Aliferis

Proceedings of the AMIA 2005, 2005

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

Proceedings of the AMIA 2005, 2005

Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data.

Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the Proceedings, 2005

A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms.

Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the Proceedings, 2005

2004

Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development.

Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos

Proceedings of the MEDINFO 2004, 2004

A Novel Algorithm for Scalable and Accurate Bayesian Network Learning.

Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the MEDINFO 2004, 2004

Learning Boolean Queries for Article Quality Filtering.

Yin Aphinyanaphongs, Constantin F. Aliferis

Proceedings of the MEDINFO 2004, 2004

A theoretical characterization of linear SVM-based feature selection.

Douglas P. Hardin, Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the Machine Learning, 2004

2003

Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003

Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors.

Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Douglas P. Hardin

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003

Time and sample efficient discovery of Markov blankets and direct causal relations.

Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Identifying Markov Blankets with Decision Tree Induction.

Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Algorithms for Large Scale Markov Blanket Discovery.

Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

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

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine.

Yindalon Aphinyanaphongs, Constantin F. Aliferis

Proceedings of the AMIA 2003, 2003

HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection.

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov

Proceedings of the AMIA 2003, 2003

Towards Principled Feature Selection: Relevancy, Filters and Wrappers.

Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Machine learning models for lung cancer classification using array comparative genomic hybridization.

Constantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion

Proceedings of the AMIA 2002, 2002

1998

Temporal representation design principles: an assessment in the domain of liver transplantation.

Constantin F. Aliferis, Gregory F. Cooper

Proceedings of the AMIA 1998, 1998

1997

Representing and developing temporally abstracted knowledge as a means towards facilitating time modeling in medical decision-support systems.

Constantin F. Aliferis, Gregory F. Cooper, Martha E. Pollack, Bruce G. Buchanan, Michael M. Wagner

Comput. Biol. Medicine, 1997

An evaluation of machine-learning methods for predicting pneumonia mortality.

Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes

Artif. Intell. Medicine, 1997

1996

Research Paper: A Temporal Analysis of QMR.

Constantin F. Aliferis, Gregory F. Cooper, Randolph A. Miller, Bruce G. Buchanan, Richard Bankowitz, Nunzia Bettinsoli Giuse

J. Am. Medical Informatics Assoc., 1996

A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques.

Constantin F. Aliferis, Gregory F. Cooper

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1994

An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets.

Constantin F. Aliferis, Gregory F. Cooper

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994