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Aristidis Likas

Aristidis Likas

D-Index & Metrics

Computer Science

D-Index
47
Citations
15850
World Ranking
6312
National Ranking
39

Overview

Aristidis Likas is affiliated with the University of Ioannina in Greece. Their research primarily falls within the broad domain of Computer Science, with a significant focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Oncology, and Epidemiology.

Their work encompasses key research topics including:

  • Advanced Clustering Algorithms Research
  • Cutaneous Melanoma Detection and Management
  • Data Management and Algorithms
  • Nonmelanoma Skin Cancer Studies
  • AI in cancer detection
  • Bayesian Methods and Mixture Models
  • Face and Expression Recognition

Likas has contributed to multiple recent publications, demonstrating engagement with both methodological advances and applied biomedical challenges. Some noteworthy recent papers include:

  • "Global k-means++: an effective relaxation of the global k-means clustering algorithm", 2024, published in Applied Intelligence
  • "Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons' Materials, Techniques, and State of Preservation: A Case Study", 2022, published in Journal of Imaging
  • "A convolutional neural network based system for detection of actinic keratosis in clinical images of cutaneous field cancerization", 2022, published in Biomedical Signal Processing and Control
  • "The UU-test for statistical modeling of unimodal data", 2021, published in Pattern Recognition
  • "Face clustering using a weighted combination of deep representations", 2021, published in Neural Computing and Applications

The scientist frequently collaborates with other researchers, including Georgios Vardakas, Panagiota Spyridonos, Georgios Gaitanis, Ioannis D. Bassukas, and John Pavlopoulos, reflecting a collaborative approach across various projects.

Publication venues commonly associated with Likas include:

  • arXiv (Cornell University)
  • Cancers
  • Preprints.org
  • Pattern Recognition
  • Neural Computing and Applications

Best Publications

  • The global k-means clustering algorithm

    Aristidis Likas;Nikos A. Vlassis;Jakob J. Verbeek

  • Artificial neural networks for solving ordinary and partial differential equations

    I.E. Lagaris;A. Likas;D.I. Fotiadis

  • The variational approximation for Bayesian inference

    D.G. Tzikas;A.C. Likas;N.P. Galatsanos

  • Neural-network methods for boundary value problems with irregular boundaries

    I.E. Lagaris;A.C. Likas;D.G. Papageorgiou

  • A Greedy EM Algorithm for Gaussian Mixture Learning

    Nikos Vlassis;Aristidis Likas

  • The MinMax k-Means clustering algorithm

    Grigorios Tzortzis;Aristidis Likas

  • A spatially constrained mixture model for image segmentation

    K. Blekas;A. Likas;N.P. Galatsanos;I.E. Lagaris

  • Kernel-Based Weighted Multi-view Clustering

    Grigorios Tzortzis;Aristidis Likas

  • A variational approach for Bayesian blind image deconvolution

    A.C. Likas;N.P. Galatsanos

  • Bayesian feature and model selection for Gaussian mixture models

    C. Constantinopoulos;M.K. Titsias;A. Likas

  • Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines

    A. Papadopoulos;D. I. Fotiadis;A. Likas

  • A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation

    C. Nikou;N.P. Galatsanos;A.C. Likas

  • Scene Detection in Videos Using Shot Clustering and Sequence Alignment

    V.T. Chasanis;A.C. Likas;N.P. Galatsanos

  • The Global Kernel $k$ -Means Algorithm for Clustering in Feature Space

    G.F. Tzortzis;A.C. Likas

  • Artificial neural network methods in quantum mechanics

    I.E. Lagaris;A. Likas;D.I. Fotiadis

  • An automatic microcalcification detection system based on a hybrid neural network classifier

    A. Papadopoulos;D. I. Fotiadis;A. Likas

  • An ischemia detection method based on artificial neural networks

    Costas Papaloukas;Dimitrios I Fotiadis;Aristidis Likas;Lampros K Michalis

  • Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis

    Y. Goletsis;C. Papaloukas;D.I. Fotiadis;A. Likas

  • Variational Bayesian Image Restoration Based on a Product of $t$ -Distributions Image Prior

    G. Chantas;N. Galatsanos;A. Likas;M. Saunders

  • An ultrasound wearable system for the monitoring and acceleration of fracture healing in long bones

    V.C. Protopappas;D.A. Baga;D.I. Fotiadis;A.C. Likas

  • A clustering method based on boosting

    D. Frossyniotis;A. Likas;A. Stafylopatis

Frequent Co-Authors

Dimitrios I. Fotiadis
Dimitrios I. Fotiadis University of Ioannina
Nikolas P. Galatsanos
Nikolas P. Galatsanos University of Ioannina
Miles N. Wernick
Miles N. Wernick Illinois Institute of Technology
Nikos Vlassis
Nikos Vlassis Adobe Systems (United States)
Michael N. Vrahatis
Michael N. Vrahatis University of Patras
Yongyi Yang
Yongyi Yang Illinois Institute of Technology
Igor Kononenko
Igor Kononenko University of Ljubljana
Michael N. Mindrinos
Michael N. Mindrinos Stanford University
Laurence G. Rahme
Laurence G. Rahme Harvard University
Stephen C. Strother
Stephen C. Strother University of Toronto

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