D-Index & Metrics Best Publications

Anastasios Tefas

Aristotle University of Thessaloniki
Greece

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 37 Citations 6,851 390 World Ranking 6745 National Ranking 43

Overview

What is he best known for?

The fields of study Anastasios Tefas is best known for:

Watermark
Digital watermarking
Machine learning

Anastasios Tefas undertakes multidisciplinary studies into Artificial intelligence and Information retrieval in his work. He integrates several fields in his works, including Information retrieval and Artificial intelligence. His Geometric transformation research extends to the thematically linked field of Computer vision. His work on Geometric transformation is being expanded to include thematically relevant topics such as Computer vision. His research brings together the fields of Computer security and Authentication (law). His research combines Authentication (law) and Computer security. Anastasios Tefas performs multidisciplinary study on Social science and Face (sociological concept) in his works. With his scientific publications, his incorporates both Face (sociological concept) and Social science. His Facial recognition system study frequently draws connections between related disciplines such as Pattern recognition (psychology).

His most cited work include:

Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification (299 citations)
Using support vector machines to enhance the performance of elastic graph matching for frontal face authentication (208 citations)
Blind Robust Watermarking Schemes for Copyright Protection of 3D Mesh Objects (130 citations)

What are the main themes of his work throughout his whole career to date

Anastasios Tefas links relevant scientific disciplines such as Outlier and Markov chain in the realm of Statistics. Anastasios Tefas incorporates Markov chain and Statistics in his studies. His Artificial intelligence study frequently draws connections to adjacent fields such as Class (philosophy). His Class (philosophy) study frequently links to other fields, such as Artificial intelligence. His Pattern recognition (psychology) study often links to related topics such as Facial recognition system. Much of his study explores Facial recognition system relationship to Pattern recognition (psychology). He merges Computer vision with Feature extraction in his study. By researching both Feature extraction and Computer vision, he produces research that crosses academic boundaries. Anastasios Tefas undertakes multidisciplinary investigations into Face (sociological concept) and Social science in his work.

Anastasios Tefas most often published in these fields:

Artificial intelligence (100.00%)
Pattern recognition (psychology) (80.00%)
Computer vision (50.00%)

What were the highlights of his more recent work (between 2014-2017)?

Cluster analysis (100.00%)
Artificial intelligence (100.00%)
Speech recognition (50.00%)

In recent works Anastasios Tefas was focusing on the following fields of study:

Anastasios Tefas performs multidisciplinary studies into Cluster analysis and Dimensionality reduction in his work. Anastasios Tefas undertakes interdisciplinary study in the fields of Dimensionality reduction and Cluster analysis through his works. He incorporates Artificial intelligence and Speech recognition in his research. He carries out multidisciplinary research, doing studies in Speech recognition and Artificial intelligence. Embedding and Subspace topology are two areas of study in which Anastasios Tefas engages in interdisciplinary work. Anastasios Tefas performs multidisciplinary study on Subspace topology and Embedding in his works. Anastasios Tefas undertakes multidisciplinary investigations into Principal component analysis and Linear discriminant analysis in his work. He integrates many fields in his works, including Linear discriminant analysis and Principal component analysis. Antibody and Subclass are frequently intertwined in his study.

Between 2014 and 2017, his most popular works were:

Subclass Graph Embedding and a Marginal Fisher Analysis paradigm (20 citations)
Multimodal speaker clustering in full length movies (14 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

S. Zafeiriou;A. Tefas;I. Buciu;I. Pitas.
IEEE Transactions on Neural Networks (2006)

382 Citations

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

A. Tefas;C. Kotropoulos;I. Pitas.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2001)

311 Citations

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

Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen.
ieee conference on business informatics (2017)

228 Citations

Image authentication techniques for surveillance applications

F. Bartolini;A. Tefas;M. Barni;I. Pitas.
Proceedings of the IEEE (2001)

193 Citations

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

S. Zafeiriou;A. Tefas;I. Pitas.
IEEE Transactions on Visualization and Computer Graphics (2005)

191 Citations

Comparison of face verification results on the XM2VTFS database

J. Matas;M. Hamouz;K. Jonsson;J. Kittler.
international conference on pattern recognition (2000)

185 Citations

View-Invariant Action Recognition Based on Artificial Neural Networks

A. Iosifidis;A. Tefas;I. Pitas.
IEEE Transactions on Neural Networks (2012)

172 Citations

Deep convolutional learning for Content Based Image Retrieval

Maria Tzelepi;Anastasios Tefas.
Neurocomputing (2018)

157 Citations

Frontal face authentication using morphological elastic graph matching

C. Kotropoulos;A. Tefas;I. Pitas.
IEEE Transactions on Image Processing (2000)

145 Citations

Learning Deep Representations with Probabilistic Knowledge Transfer

Nikolaos Passalis;Anastasios Tefas.
european conference on computer vision (2018)

134 Citations

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