Constantin F. Aliferis

发表

Computer models for identifying instrumental citations in the biomedical literature

Lawrence D. Fu, Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2013, Scientometrics.

Application and Comparison of SVMs and Other Methods for Identifying Drug–Drug Interactions-Related Literature (Contributed by Stephany Duda)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Predicting dire outcomes of patients with community acquired pneumonia

Constantin F. Aliferis, Tom M. Mitchell, Rich Caruana, 2005, J. Biomed. Informatics.

Generating Realistic Large Bayesian Networks by Tiling

Constantin F. Aliferis, Laura E. Brown, Ioannis Tsamardinos, 2006, FLAIRS.

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

Lawrence D. Fu, Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2007, MedInfo.

An evaluation of machine-learning methods for predicting pneumonia mortality

Constantin F. Aliferis, Tom M. Mitchell, Rich Caruana, 1997, Artif. Intell. Medicine.

Subtle but critical errors in deriving cancer signatures and markers from high-throughput molecular data: Two high-profile case studies

Constantin F. Aliferis, Frank E. Harrell, Ioannis Tsamardinos, 2007 .

Models for Predicting and Explaining Citation Count of Biomedical Articles

Lawrence D. Fu, Constantin F. Aliferis, C. Aliferis, 2008, AMIA.

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

Constantin F. Aliferis, Laura E. Brown, Ioannis Tsamardinos, 2003, METMBS.

A theoretical characterization of linear SVM-based feature selection

Constantin F. Aliferis, Ioannis Tsamardinos, Douglas P. Hardin, 2004, ICML '04.

Introduction and Book Overview

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

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

Constantin F. Aliferis, Jinhua Wang, Sisi Ma, 2018, AMIA.

Application and Comparison of SVMs and Other Methods for Retrieving High-Quality Content-Specific Articles (Contributed by Yindalon Aphinyanaphongs)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

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

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2003, METMBS.

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

Constantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion, 2002, AMIA.

Causation and Prediction Challenge: Challenges in Machine Learning, volume 2

Constantin F. Aliferis, Isabelle Guyon, Gm Cooper, 2010 .

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

Constantin F. Aliferis, Alexander R. Statnikov, A. Statnikov, 2007, AMIA.

HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2003, AMIA.

LARGE-SCALE FEATURE SELECTION USING MARKOV BLANKET INDUCTION FOR THE PREDICTION OF PROTEIN-DRUG BINDING

Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, 2002 .

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

Constantin F. Aliferis, Gregory F. Cooper, 1994, UAI.

Generalizable Architectures and Principles of Informatics for Scalable Personalized and Precision Medicine (PPM) Decision Support

Steven G. Johnson, Constantin F. Aliferis, Pamala A. Jacobson, 2019, Health Informatics.

A Novel Algorithm for Scalable and Accurate Bayesian Network Learning

Constantin F. Aliferis, Laura E. Brown, Ioannis Tsamardinos, 2004, MedInfo.

Biomarker Selection from High-Dimensionality Data

Constantin F. Aliferis, Alexander Statnikov, Shawn Levy, 2005 .

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

Yindalon Aphinyanagphongs, Constantin F. Aliferis, Ioannis Tsamardinos, 2004, J. Am. Medical Informatics Assoc..

Methods Used in this Book

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data

Constantin F. Aliferis, Subramani Mani, C. Aliferis, 2007, AIME.

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

Constantin F. Aliferis, Gregory F. Cooper, 1998, AMIA.

A Gentle Introduction to Support Vector Machines in Biomedicine: Case Studies

Constantin F. Aliferis, Douglas P Hardin, Isabelle Guyon, 2011 .

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

Lawrence D. Fu, Constantin F. Aliferis, C. Aliferis, 2010, Scientometrics.

A gentle introduction to support vector machines in biomedicine: Volume 1: Theory and methods

Constantin F. Aliferis, Alexander Statnikov, Isabelle Guyon, 2011 .

Computational Methods for Unraveling Temporal Brain Connectivity Data

Constantin F. Aliferis, Alexander R. Statnikov, Bisakha Ray, 2015, AMIA.

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

Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2006, AMIA.

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

Constantin F. Aliferis, M. Li, Nafeh Fananapazir, 2005, AMIA.

Bayesian Algorithms for Causal Data Mining

Constantin F. Aliferis, Subramani Mani, Alexander R. Statnikov, 2008, NIPS Causality: Objectives and Assessment.

Informatics Methods for Molecular Profiling

Constantin F. Aliferis, Sisi Ma, Boris Winterhoff, 2019, Health Informatics.

TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries

Constantin F. Aliferis, Alexander R. Statnikov, A. Statnikov, 2008, NIPS Causality: Objectives and Assessment.

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

Constantin F. Aliferis, Xenofon D. Koutsoukos, Subramani Mani, 2010, J. Mach. Learn. Res..

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

Constantin F. Aliferis, Xenofon D. Koutsoukos, Subramani Mani, 2010, J. Mach. Learn. Res..

Research Paper: A Temporal Analysis of QMR

Constantin F. Aliferis, Randolph A. Miller, Bruce G. Buchanan, 1996, J. Am. Medical Informatics Assoc..

Algorithms for Large Scale Markov Blanket Discovery

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2003, FLAIRS.

Comparison of SVMs and Kernel Ridge Regression for Microarray-Based Cancer Classification (Contributed by Zhiguo Li)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

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

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2004, Bioinform..

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

Constantin F. Aliferis, Alexander R. Statnikov, Lily Wang, 2008, BMC Bioinformatics.

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

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2005, AAAI.

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

Constantin F. Aliferis, Laura E. Brown, Ioannis Tsamardinos, 2006, Machine Learning.

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

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2004, MedInfo.

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

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2003, KDD '03.

Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2003, FLAIRS.

Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases

Constantin F. Aliferis, Randolph A. Miller, Kevin B. Johnson, 2005, AMIA.

The FAST-AIMS Clinical Mass Spectrometry Analysis System

Constantin F. Aliferis, Alexander R. Statnikov, Nafeh Fananapazir, 2009, Adv. Bioinformatics.

Using SVMs for Causal Variable Selection

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

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

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2005, Int. J. Medical Informatics.

Identifying Markov blankets with decision tree induction

Constantin F. Aliferis, Douglas H. Fisher, Lewis J. Frey, 2003, Third IEEE International Conference on Data Mining.

Interview with Constantin Aliferis

Constantin F. Aliferis, Dominique Tobbell, 2015 .

Learning Boolean Queries for Article Quality Filtering

Constantin F. Aliferis, Yin Aphinyanaphongs, C. Aliferis, 2004, MedInfo.

Comparison of SVMs and Random Forests for Microarray-Based Cancer Classification

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Challenges in the Analysis of Mass-Throughput Data: A Technical Commentary from the Statistical Machine Learning Perspective

Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, 2006, Cancer informatics.

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

Constantin F. Aliferis, Qingxia Chen, Huseyin Atakan Varol, 2014, J. Am. Medical Informatics Assoc..

Using the GEMS System for Supervised Analysis of Cancer Microarray Gene Expression Data

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, 2005, AMIA.

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

Lawrence D. Fu, Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2011, J. Biomed. Informatics.

Studies in Health Technology and Informatics

Constantin F. Aliferis, Yin Aphinyanaphongs, C. Aliferis, 2007 .

Algorithms for discovery of multiple Markov boundaries

Constantin F. Aliferis, Jan Lemeire, Alexander R. Statnikov, 2013, J. Mach. Learn. Res..

A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2012 .

An Evaluation of Active Learning Causal Discovery Methods for Reverse-Engineering Local Causal Pathways of Gene Regulation

Constantin F. Aliferis, Sisi Ma, Alexander Statnikov, 2016, Scientific reports.

Application and Comparison of SVM-RFE and GLL Methods for Variable Selection for Classification

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Application and Comparison of SVMs and Other Methods for Multicategory Classification in Microbiomics (Contributed by Mikael Henaff, Kranti Konganti, Varun Narendra, Alexander V. Alekseyenko)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

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

Constantin F. Aliferis, Gregory F. Cooper, G. Cooper, 1996, UAI.

Causal Feature Selection

Constantin F. Aliferis, Isabelle Guyon, Andre´ Elisseeﬀ, 2007 .

Research Paper: Using Citation Data to Improve Retrieval from MEDLINE

Yindalon Aphinyanagphongs, Constantin F. Aliferis, Elmer V. Bernstam, 2006, J. Am. Medical Informatics Assoc..

Towards Principled Feature Selection: Relevancy, Filters and Wrappers

Constantin F. Aliferis, Ioannis Tsamardinos, C. Aliferis, 2003 .

Design and Analysis of the Causation and Prediction Challenge

Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, 2008, WCCI Causation and Prediction Challenge.

Factors Influencing the Statistical Power of Complex Data Analysis Protocols for Molecular Signature Development from Microarray Data

Constantin F. Aliferis, Frank E. Harrell, Jonathan S. Schildcrout, 2009, PloS one.

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

Constantin F. Aliferis, Laura E. Brown, Ioannis Tsamardinos, 2005, AAAI.

A Novel Information Retrieval Model for High-Throughput Molecular Medicine Modalities

Constantin F. Aliferis, Steven H. Brown, Daniel R. Masys, 2009, Cancer informatics.

Application and Comparison of SVMs and Other Methods for Multicategory Microarray-Based Cancer Classification

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

A Gentle Introduction to Support Vector Machines in Biomedicine: Volume 1: Theory and MethodsVolume 2: Case Studies and Benchmarks

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

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

Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2003, AMIA.

Text Categorization Models for Identifying Unproven Cancer Treatments on the Web

Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2007, MedInfo.

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

Lawrence D. Fu, Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2013, MedInfo.

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

Yindalon Aphinyanagphongs, Constantin F. Aliferis, Alexander R. Statnikov, 2006, J. Am. Medical Informatics Assoc..

Application and Comparison of SVMs and Other Methods for Identifying Unproven Cancer Treatments on the Web (Contributed by Yindalon Aphinyanaphongs)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Learning Causal and Predictive Clinical Practice Guidelines from Data

Constantin F. Aliferis, Subramani Mani, Shanthi Krishnaswami, 2007, MedInfo.

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

Lawrence D. Fu, Yindalon Aphinyanagphongs, Constantin F. Aliferis, 2014, J. Assoc. Inf. Sci. Technol..

The Landscape of PPM Informatics and the Future of Medicine

Constantin F. Aliferis, Terrence J. Adam, C. Aliferis, 2019, Health Informatics.

Informaticians, CxIOs and Industry: Strengthening the Fabric of HealthIT

Constantin F. Aliferis, J. Marc Overhage, Blackford Middleton, 2013, AMIA.

Analysis and Computational Dissection of Molecular Signature Multiplicity

Constantin F. Aliferis, Alexander R. Statnikov, A. Statnikov, 2010, PLoS Comput. Biol..

Birth of a Discipline: Personalized and Precision Medicine (PPM) Informatics

Constantin F. Aliferis, Terrence J. Adam, C. Aliferis, 2019, Health Informatics.

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

Constantin F. Aliferis, Sisi Ma, Mikael Henaff, 2015, J. Mach. Learn. Res..

Time Series Analysis with the Causality Workbench

Isabelle Guyon, Constantin F. Aliferis, Alexander R. Statnikov, 2009, NIPS Mini-Symposium on Causality in Time Series.

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

Constantin F. Aliferis, Andrea Sboner, C. Aliferis, 2005, AMIA.

Effects of Environment, Genetics and Data Analysis Pitfalls in an Esophageal Cancer Genome-Wide Association Study

Constantin F. Aliferis, Alexander Statnikov, Chun Li, 2007, PloS one.

Challenges in the Analysis of Mass-Throughput Data: A Technical Commentary from the Statistical Machine Learning Perspective

Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, 2006 .

Algorithms for discovery of multiple Markov boundaries: application to the molecular signature multiplicity problem

Constantin F. Aliferis, Alexander Statnikov, A. Statnikov, 2008 .

An Algorithm For Generation of Large Bayesian Networks

Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, 2003 .

Using Support Vector Machines for Multicategory Cancer Diagnosis Based on Gene Expression Data

Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, 2003 .

AUTOMATIC CANCER DIAGNOSTIC DECISION SUPPORT SYSTEM FOR GENE EXPRESSION DOMAIN By

Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos, 2005 .

Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison

Constantin F. Aliferis, Alexander Statnikov, Mikael Henaff, 2013, Scientific Reports.

Modeling liver transplant survival: Comparing techniques of deriving predictor sets

Constantin F. Aliferis, Nathan R. Hoot, Irene D. Feurer, 2005 .