World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13289
World Ranking
4056
National Ranking
15

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to intelligent systems for multimedia content analysis and human-machine interaction

Overview

Stefanos Kollias is affiliated with the National Technical University of Athens in Greece, contributing extensively to research in computer science, engineering, and medicine. Their work spans multiple fields and subfields, reflecting a multidisciplinary approach to technological and scientific challenges.

The main fields of study for Stefanos Kollias include:

  • Computer Science
  • Engineering
  • Medicine

Within these broader fields, Kollias's research focuses on several subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Plant Science
  • Aerospace Engineering

Their work addresses a variety of scientific and technological topics, such as:

  • COVID-19 diagnosis using AI
  • Human Pose and Action Recognition
  • AI in cancer detection
  • Anomaly Detection Techniques and Applications
  • Greenhouse Technology and Climate Control
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Lincoln Repository (University of Lincoln)
  • Annals of Nuclear Energy
  • Sensors
  • Electronics

Stefanos Kollias has collaborated regularly with several co-authors across their publications. These include the following researchers:

  • Dimitrios Kollias
  • Αναστάσιος Αρσένος
  • James Wingate
  • Georgios Leontidis
  • Miao Yu

Selected recent papers authored or co-authored by Kollias are:

  • A Unified Deep Learning Approach for Prediction of Parkinson's Disease (2020, Lincoln Repository (University of Lincoln))
  • AI-Enabled Efficient and Safe Food Supply Chain (2021, MDPI (MDPI AG))
  • HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media (2020, IEEE Access)
  • DeMoCap: Low-Cost Marker-Based Motion Capture (2021, International Journal of Computer Vision)
  • Deep Transparent Prediction through Latent Representation Analysis (2020, arXiv (Cornell University))

In 2015, Stefanos Kollias was recognized as an IEEE Fellow for contributions to intelligent systems for multimedia content analysis and human-machine interaction.

Best Publications

  • Emotion recognition in human-computer interaction

    R. Cowie;E. Douglas-Cowie;N. Tsapatsoulis;G. Votsis

  • A string metric for ontology alignment

    Giorgos Stoilos;Giorgos Stamou;Stefanos Kollias

  • 2005 Special Issue: Emotion recognition through facial expression analysis based on a neurofuzzy network

    Spiros V. Ioannou;Amaryllis T. Raouzaiou;Vasilis A. Tzouvaras;Theofilos P. Mailis

  • An adaptive least squares algorithm for the efficient training of artificial neural networks

    S. Kollias;D. Anastassiou

  • Estimation of behavioral user state based on eye gaze and head pose--application in an e-learning environment

    Stylianos Asteriadis;Paraskevi Tzouveli;Kostas Karpouzis;Stefanos Kollias

  • Dense saliency-based spatiotemporal feature points for action recognition

    Konstantinos Rapantzikos;Yannis Avrithis;Stefanos Kollias

  • Semantic Image Segmentation and Object Labeling

    T. Athanasiadis;P. Mylonas;Y. Avrithis;S. Kollias

  • Uncertainty and the Semantic Web

    G. Stoilos;N. Simou;G. Stamou;S. Kollias

  • Parameterized facial expression synthesis based on MPEG-4

    Amaryllis Raouzaiou;Nicolas Tsapatsoulis;Kostas Karpouzis;Stefanos Kollias

  • Emotion analysis in man-machine interaction systems

    T. Balomenos;A. Raouzaiou;S. Ioannou;A. Drosopoulos

  • A fuzzy video content representation for video summarization and content-based retrieval

    Anastasios D. Doulamis;Nikolaos D. Doulamis;Stefanos D. Kollias

  • Deep neural architectures for prediction in healthcare

    Dimitrios Kollias;Athanasios Tagaris;Andreas Stafylopatis;Stefanos Kollias

  • On-line retrainable neural networks: improving the performance of neural networks in image analysis problems

    A.D. Doulamis;N.D. Doulamis;S.D. Kollias

  • Low bit-rate coding of image sequences using adaptive regions of interest

    N. Doulamis;A. Doulamis;D. Kalogeras;S. Kollias

  • Efficient summarization of stereoscopic video sequences

    N.D. Doulamis;A.D. Doulamis;Y.S. Avrithis;K.S. Ntalianis

  • An adaptable neural-network model for recursive nonlinear traffic prediction and modeling of MPEG video sources

    A.D. Doulamis;N.D. Doulamis;S.D. Kollias

  • A Stochastic Framework for Optimal Key Frame Extraction from MPEG Video Databases

    Yannis S Avrithis;Anastasios D Doulamis;Nikolaos D Doulamis;Stefanos D Kollias

  • An intelligent e-learning system based on learner profiling and learning resources adaptation

    Paraskevi Tzouveli;Phivos Mylonas;Stefanos Kollias

  • VIRaL: Visual Image Retrieval and Localization

    Yannis Kalantidis;Giorgos Tolias;Yannis Avrithis;Marios Phinikettos

  • A stochastic framework for optimal key frame extraction from MPEG video databases

    N.D. Doulamis;A.D. Doulamis;Y. Avrithis;S.D. Kollias

  • Emotional face expression profiles supported by virtual human ontology: Research Articles

    A. García-Rojas;F. Vexo;D. Thalmann;A. Raouzaiou

Frequent Co-Authors

Kostas Karpouzis
Kostas Karpouzis Panteion University
Nikolaos Doulamis
Nikolaos Doulamis National Technical University of Athens
Anastasios Doulamis
Anastasios Doulamis National Technical University of Athens
Yannis Avrithis
Yannis Avrithis Institute of Advanced Research on Artificial Intelligence (IARAI)
Roddy Cowie
Roddy Cowie Queen's University Belfast
Erkki Oja
Erkki Oja Aalto University
Dimitris Anastassiou
Dimitris Anastassiou Columbia University
Włodzisław Duch
Włodzisław Duch Nicolaus Copernicus University
Daniel Thalmann
Daniel Thalmann École Polytechnique Fédérale de Lausanne
Petros Daras
Petros Daras Information Technologies Institute, Greece

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