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Ioannis Tsamardinos

Ioannis Tsamardinos

D-Index & Metrics

Computer Science

D-Index
42
Citations
12090
World Ranking
8185
National Ranking
56

Overview

Ioannis Tsamardinos is affiliated with the University of Crete in Greece and has contributed extensively to research at the intersection of biochemistry, genetics, molecular biology, and computer science. Their work spans multiple fields of study, including both broad and specialized domains.

The primary fields in which Ioannis Tsamardinos has published are:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Subfields of study include:

  • Molecular Biology
  • Artificial Intelligence
  • Cancer Research
  • Pulmonary and Respiratory Medicine
  • Genetics

The scientist's main research topics cover:

  • Gene expression and cancer classification
  • Machine Learning and Data Classification
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics
  • Cancer-related molecular mechanisms research
  • Molecular Biology Techniques and Applications
  • Lung Cancer Treatments and Mutations

Ioannis Tsamardinos has authored several papers, including:

  • Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment (2021, Frontiers in Microbiology)
  • Just Add Data: automated predictive modeling for knowledge discovery and feature selection (2022, npj Precision Oncology)
  • Accurate Blood-Based Diagnostic Biosignatures for Alzheimer's Disease via Automated Machine Learning (2020, Journal of Clinical Medicine)
  • An Automated Machine Learning architecture for the accelerated prediction of Metal-Organic Frameworks performance in energy and environmental applications (2020, Microporous and Mesoporous Materials)
  • STATegra: Multi-Omics Data Integration - A Conceptual Scheme With a Bioinformatics Pipeline (2021, Frontiers in Genetics)

Frequent co-authors who collaborated with Ioannis Tsamardinos include:

  • Vincenzo Lagani
  • Εkaterini Chatzaki
  • Γεώργιος Παπουτσόγλου
  • Paulos Charonyktakis
  • Makrina Karaglani

The most common publication venues for Ioannis Tsamardinos are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Clinical Oncology
  • Cancers
  • Journal of Clinical Medicine

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

  • 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

  • Autominder: an intelligent cognitive orthotic system for people with memory impairment

    Martha E. Pollack;Laura E. Brown;Dirk Colbry;Colleen E. McCarthy

  • 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

  • Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.

    Laura Judith Marcos-Zambrano;Kanita Karaduzovic-Hadziabdic;Tatjana Loncar Turukalo;Piotr Przymus

  • Towards Principled Feature Selection: Relevancy, Filters and Wrappers

    Ioannis Tsamardinos;Constantin F. Aliferis

  • 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

  • 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

  • Chemically intuited, large-scale screening of MOFs by machine learning techniques

    Giorgos Borboudakis;Taxiarchis Stergiannakos;Maria Frysali;Emmanuel Klontzas

  • CTP: A New Constraint-Based Formalism for Conditional, Temporal Planning

    Ioannis Tsamardinos;Thierry Vidal;Martha E. Pollack

  • A vision and strategy for the virtual physiological human in 2010 and beyond.

    Peter Hunter;Peter Hunter;Peter V. Coveney;Bernard de Bono;Vanessa Diaz

  • Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets

    Vincenzo Lagani;Giorgos Athineou;Alessio Farcomeni;Michail Tsagris

  • Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation

    Ioannis Tsamardinos;Elissavet Greasidou;Giorgos Borboudakis

  • Efficient solution techniques for disjunctive temporal reasoning problems

    Ioannis Tsamardinos;Martha E. Pollack

  • Reformulating temporal plans for efficient execution

    Nicola Muscettola;Paul H. Morris;Ioannis Tsamardinos

  • Performance-Estimation Properties of Cross-Validation-Based Protocols with Simultaneous Hyper-Parameter Optimization

    Ioannis Tsamardinos;Ioannis Tsamardinos;Amin Rakhshani;Amin Rakhshani;Vincenzo Lagani

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

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

Frequent Co-Authors

Jesper Tegnér
Jesper Tegnér King Abdullah University of Science and Technology
Constantin F. Aliferis
Constantin F. Aliferis University of Minnesota
Alexander Statnikov
Alexander Statnikov Vanderbilt University
Martha E. Pollack
Martha E. Pollack Cornell University
Ana Conesa
Ana Conesa University of Florida
Peter Hunter
Peter Hunter University of Auckland
Johan A. Westerhuis
Johan A. Westerhuis University of Amsterdam
Vassilis Christophides
Vassilis Christophides École Nationale Supérieure de l'Électronique et de ses Applications
Alfio Quarteroni
Alfio Quarteroni Polytechnic University of Milan
Ioannis G. Tollis
Ioannis G. Tollis University of Crete

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