World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13675
World Ranking
4509
National Ranking
19

Overview

Anastasios Tefas is affiliated with Aristotle University of Thessaloniki in Greece. Their research contributions span multiple fields within computer science and engineering, emphasizing artificial intelligence and related subfields.

The scientist has authored a significant number of publications in various renowned venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Neural Networks
  • Pattern Recognition Letters
  • IEEE Journal of Selected Topics in Quantum Electronics
  • Neural Computing and Applications

Their main fields of study are:

  • Computer Science
  • Engineering

Further specialization is evident in these subfields of study:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Management Science and Operations Research
  • Astronomy and Astrophysics

Their research covers a variety of main topics, including:

  • Neural Networks and Reservoir Computing
  • Optical Network Technologies
  • Advanced Neural Network Applications
  • Photonic and Optical Devices
  • Stock Market Forecasting Methods
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods

Recent notable papers authored or coauthored by the scientist include:

  • "Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Noise-resilient and high-speed deep learning with coherent silicon photonics," 2022, Nature Communications
  • "Femtojoule per MAC Neuromorphic Photonics: An Energy and Technology Roadmap," 2020, IEEE Journal of Selected Topics in Quantum Electronics
  • "Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example," 2021, ACM Computing Surveys
  • "Price Trailing for Financial Trading Using Deep Reinforcement Learning," 2020, IEEE Transactions on Neural Networks and Learning Systems

Frequent coauthors working alongside Anastasios Tefas include:

  • Nikolaos Passalis
  • Manos Kirtas
  • Paraskevi Nousi
  • Nikos Pleros
  • Alexandros Iosifidis

In addition to journal and conference publications, the scientist has contributed to book publications with Springer International Publishing. One of these is titled Proceedings of the 22nd Engineering Applications of Neural Networks Conference, published in 2021.

Best Publications

  • 2014 IEEE International Conference on Image Processing (ICIP 2014)

    Konstantinos Papachristou;Anastasios Tefas;Nikos Nikolaidis;Ioannis Pitas

  • Learning Deep Representations with Probabilistic Knowledge Transfer

    Nikolaos Passalis;Anastasios Tefas

  • Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification

    S. Zafeiriou;A. Tefas;I. Buciu;I. Pitas

  • Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks

    Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen

  • Signal Processing: Image Communication

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas;Moncef Gabbouj

  • Using support vector machines to enhance the performance of elastic graph matching for frontal face authentication

    A. Tefas;C. Kotropoulos;I. Pitas

  • Deep convolutional learning for Content Based Image Retrieval

    Maria Tzelepi;Anastasios Tefas

  • Blind robust watermarking schemes for copyright protection of 3D mesh objects

    S. Zafeiriou;A. Tefas;I. Pitas

  • Image authentication techniques for surveillance applications

    F. Bartolini;A. Tefas;M. Barni;I. Pitas

  • Comparison of face verification results on the XM2VTFS database

    J. Matas;M. Hamouz;K. Jonsson;J. Kittler

  • View-Invariant Action Recognition Based on Artificial Neural Networks

    A. Iosifidis;A. Tefas;I. Pitas

  • On the kernel Extreme Learning Machine classifier

    Alexandros Iosifidis;Anastastios Tefas;Ioannis Pitas

  • Using deep learning to detect price change indications in financial markets

    Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen

  • Frontal face authentication using morphological elastic graph matching

    C. Kotropoulos;A. Tefas;I. Pitas

  • Deep Adaptive Input Normalization for Time Series Forecasting

    Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen;Moncef Gabbouj

  • Minimum Class Variance Extreme Learning Machine for Human Action Recognition

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas

  • Minimum Class Variance Support Vector Machines

    S. Zafeiriou;A. Tefas;I. Pitas

  • Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning

    Nikolaos Passalis;Maria Tzelepi;Anastasios Tefas

  • Graph Embedded Extreme Learning Machine

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas

  • Heterogeneous Knowledge Distillation Using Information Flow Modeling

    Nikolaos Passalis;Maria Tzelepi;Anastasios Tefas

  • Frontal face authentication using discriminating grids with morphological feature vectors

    C.L. Kotropoulos;A. Tefas;I. Pitas

Frequent Co-Authors

Ioannis Pitas
Ioannis Pitas Aristotle University of Thessaloniki
Alexandros Iosifidis
Alexandros Iosifidis Aarhus University
Nikos Nikolaidis
Nikos Nikolaidis Aristotle University of Thessaloniki
Moncef Gabbouj
Moncef Gabbouj Tampere University
Constantine Kotropoulos
Constantine Kotropoulos Aristotle University of Thessaloniki
Stefanos Zafeiriou
Stefanos Zafeiriou Imperial College London
Nikos Pleros
Nikos Pleros Aristotle University of Thessaloniki
Gael Richard
Gael Richard Télécom ParisTech
Adrian Hilton
Adrian Hilton University of Surrey
Wulfram Gerstner
Wulfram Gerstner École Polytechnique Fédérale de Lausanne

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