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Constantin F. Aliferis

Constantin F. Aliferis

D-Index & Metrics

Computer Science

D-Index
41
Citations
12075
World Ranking
8622
National Ranking
3695

Overview

Constantin F. Aliferis is affiliated with the University of Minnesota in the United States. Their research has spanned multiple fields, primarily focusing on Medicine, Biochemistry, Genetics and Molecular Biology, and Computer Science.

The scientist's work includes studies on subfields such as Molecular Biology, Artificial Intelligence, Health Informatics, Statistics and Probability, and Genetics. Key topics addressed in their publications involve extracellular vesicles in disease, artificial intelligence applications in healthcare and education, explainable artificial intelligence (XAI), ethics in clinical research, meta-analysis and systematic reviews, and machine learning in healthcare.

Constantin F. Aliferis has coauthored frequently with several researchers. Notable frequent collaborators include:

  • Sisi Ma
  • György Simon
  • Virginia B. Kraus
  • Xin Zhang
  • Erik J. Soderblom

Their work appears in diverse publication venues, with repeated contributions to Scientific Reports and Osteoarthritis and Cartilage. Other venues where their research has been published include bioRxiv (Cold Spring Harbor Laboratory), Clinical Immunology, and Annals of Surgery.

Selected recent papers authored or coauthored by Constantin F. Aliferis include:

  • Bariatric Surgery is Associated With Decreased Progression of Nonalcoholic Fatty Liver Disease to Cirrhosis, 2020, Annals of Surgery
  • Comprehensive characterization of pathogenic synovial fluid extracellular vesicles from knee osteoarthritis, 2023, Clinical Immunology
  • Pharmacogenomics Education, Research and Clinical Implementation in the State of Minnesota, 2021, Pharmacogenomics
  • Computational causal discovery for post-traumatic stress in police officers, 2020, Translational Psychiatry
  • Prediction of clinical trial enrollment rates, 2022, PLoS ONE

In addition to journal publications, Constantin F. Aliferis has contributed to book publications in the field of Health Informatics. A notable book includes Artificial Intelligence and Machine Learning in Health Care and Medical Sciences, published in 2024.

Best Publications

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

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

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

    Alexander Statnikov;Constantin F. Aliferis;Ioannis Tsamardinos;Douglas Hardin

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

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

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

    Constantin F. Aliferis;Alexander Statnikov;Ioannis Tsamardinos;Subramani Mani

  • Algorithms for Large Scale Markov Blanket Discovery

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

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

    Ioannis Tsamardinos;Constantin F. Aliferis;Alexander Statnikov

  • HITON: a novel Markov Blanket algorithm for optimal variable selection.

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

  • Towards Principled Feature Selection: Relevancy, Filters and Wrappers

    Ioannis Tsamardinos;Constantin F. Aliferis

  • Studies in Health Technology and Informatics

    Yin Aphinyanaphongs;Constantin Aliferis

  • An Evaluation of Machine-Learning Methods for Predicting Pneumonia Mortality

    Gregory F. Cooper;Constantin F. Aliferis;Richard Ambrosino;John M. Aronis

  • 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

  • Text Categorization Models for High-Quality Article Retrieval in Internal Medicine

    Yindalon Aphinyanaphongs;Ioannis Tsamardinos;Alexander R. Statnikov;Douglas P. Hardin

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

    Subramani Mani;Asli Ozdas;Constantin F. Aliferis;Huseyin Atakan Varol

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

    Constantin F. Aliferis;Alexander Statnikov;Ioannis Tsamardinos;Subramani Mani

  • A comprehensive evaluation of multicategory classification methods for microbiomic data

    Alexander Statnikov;Mikael Henaff;Varun Narendra;Kranti Konganti

  • Causal Feature Selection

    Isabelle Guyon;Constantin Aliferis;Andre´ Elisseeff

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

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

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

    Lawrence D. Fu;Constantin F. Aliferis

  • Using Citation Data to Improve Retrieval from MEDLINE

    Elmer V. Bernstam;Jorge R. Herskovic;Yindalon Aphinyanaphongs;Constantin F. Aliferis

  • Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison

    Alexander Statnikov;Alexander V. Alekseyenko;Zhiguo Li;Mikael Henaff

  • Design and Analysis of the Causation and Prediction Challenge

    Isabelle Guyon;Constantin F. Aliferis;Gregory F. Cooper;André Elisseeff

Frequent Co-Authors

Alexander Statnikov
Alexander Statnikov Vanderbilt University
Ioannis Tsamardinos
Ioannis Tsamardinos University of Crete
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Gregory F. Cooper
Gregory F. Cooper University of Pittsburgh
Randolph A. Miller
Randolph A. Miller Vanderbilt University
Bruce G. Buchanan
Bruce G. Buchanan University of Pittsburgh
Martin J. Blaser
Martin J. Blaser Rutgers, The State University of New Jersey
Xenofon Koutsoukos
Xenofon Koutsoukos Vanderbilt University
Shawn Levy
Shawn Levy Vanderbilt University
David Fenyö
David Fenyö New York University

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