Constantin F. Aliferis

According to our database1, Constantin F. Aliferis authored at least 62 papers between 1994 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Developing a Clinico-Molecular Test for Individualized Treatment of Ovarian Cancer: The interplay of Precision Medicine Informatics with Clinical and Health Economics Dimensions.
Proceedings of the AMIA 2018, 2018

2015
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery.
J. Mach. Learn. Res., 2015

Computational Methods for Unraveling Temporal Brain Connectivity Data.
Proceedings of the AMIA 2015, 2015

2014
A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization.
J. Assoc. Inf. Sci. Technol., 2014

Medical decision support using machine learning for early detection of late-onset neonatal sepsis.
J. Am. Medical Informatics Assoc., 2014

2013
Computer models for identifying instrumental citations in the biomedical literature.
Scientometrics, 2013

Algorithms for discovery of multiple Markov boundaries.
J. Mach. Learn. Res., 2013

An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin
CoRR, 2013

Identifying Unproven Cancer Treatments on the Health Web: Addressing Accuracy, Generalizability and Scalability.
Proceedings of the MEDINFO 2013, 2013

Informaticians, CxIOs and Industry: Strengthening the Fabric of HealthIT.
Proceedings of the AMIA 2013, 2013

2011
Time Series Analysis with the Causality Workbench.
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.
J. Biomed. Informatics, 2011

2010
Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature.
Scientometrics, 2010

Analysis and Computational Dissection of Molecular Signature Multiplicity.
PLoS Comput. Biol., 2010

TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Bayesian Algorithms for Causal Data Mining.
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.
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.
J. Mach. Learn. Res., 2010

2009
The FAST-AIMS Clinical Mass Spectrometry Analysis System.
Adv. Bioinformatics, 2009

2008
Design and Analysis of the Causation and Prediction Challenge.
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.
BMC Bioinform., 2008

Models for Predicting and Explaining Citation Count of Biomedical Articles.
Proceedings of the AMIA 2008, 2008

2007
Learning Causal and Predictive Clinical Practice Guidelines from Data.
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.
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.
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?
Proceedings of the AMIA 2007, 2007

A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
The max-min hill-climbing Bayesian network structure learning algorithm.
Mach. Learn., 2006

Research Paper: Using Citation Data to Improve Retrieval from MEDLINE.
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.
J. Am. Medical Informatics Assoc., 2006

Generating Realistic Large Bayesian Networks by Tiling.
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.
Proceedings of the AMIA 2006, 2006

2005
Predicting dire outcomes of patients with community acquired pneumonia.
J. Biomed. Informatics, 2005

Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine.
J. Am. Medical Informatics Assoc., 2005

GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data.
Int. J. Medical Informatics, 2005

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.
Bioinform., 2005

Using the <i>GEMS</i> System for Supervised Analysis of Cancer Microarray Gene Expression Data.
Proceedings of the AMIA 2005, 2005

Modeling Clinical Judgment and Implicit Guideline Compliance in the Diagnosisof Melanomas Using Machine Learning.
Proceedings of the AMIA 2005, 2005

Formative Evaluation of a Prototype System for Automated Analysis of Mass Spectrometry Data.
Proceedings of the AMIA 2005, 2005

Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases.
Proceedings of the AMIA 2005, 2005

Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data.
Proceedings of the Proceedings, 2005

A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms.
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.
Proceedings of the MEDINFO 2004, 2004

A Novel Algorithm for Scalable and Accurate Bayesian Network Learning.
Proceedings of the MEDINFO 2004, 2004

Learning Boolean Queries for Article Quality Filtering.
Proceedings of the MEDINFO 2004, 2004

A theoretical characterization of linear SVM-based feature selection.
Proceedings of the Machine Learning, 2004

2003
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.
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.
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.
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.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Algorithms for Large Scale Markov Blanket Discovery.
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.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine.
Proceedings of the AMIA 2003, 2003

HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection.
Proceedings of the AMIA 2003, 2003

Towards Principled Feature Selection: Relevancy, Filters and Wrappers.
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.
Proceedings of the AMIA 2002, 2002

1998
Temporal representation design principles: an assessment in the domain of liver transplantation.
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.
Comput. Biol. Medicine, 1997

An evaluation of machine-learning methods for predicting pneumonia mortality.
Artif. Intell. Medicine, 1997

1996
Research Paper: A Temporal Analysis of QMR.
J. Am. Medical Informatics Assoc., 1996

A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques.
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.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994


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