D-Index & Metrics Best Publications

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 D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 48 Citations 14,138 151 World Ranking 3949 National Ranking 172

Overview

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

Florian Eyben brings together Artificial intelligence and Affective computing to produce work in his papers. By researching both Affective computing and Human–computer interaction, he produces research that crosses academic boundaries. With his scientific publications, his incorporates both Human–computer interaction and Cognitive psychology. Cognitive psychology and Emotion classification are frequently intertwined in his study. His Emotion classification study typically links adjacent topics like Artificial intelligence. Speech recognition is closely attributed to Emotion recognition in his research. Emotion recognition is often connected to Emotion detection in his work. His study on Emotion detection is mostly dedicated to connecting different topics, such as Speech recognition. His study in Paleontology extends to Context (archaeology) with its themes.

Florian Eyben most often published in these fields:

  • Artificial intelligence (100.00%)
  • Speech recognition (66.67%)
  • Cognitive psychology (66.67%)

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

Opensmile: the munich versatile and fast open-source audio feature extractor

Florian Eyben;Martin Wöllmer;Björn Schuller.
acm multimedia (2010)

2178 Citations

Recent developments in openSMILE, the munich open-source multimedia feature extractor

Florian Eyben;Felix Weninger;Florian Gross;Björn Schuller.
acm multimedia (2013)

1120 Citations

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

Florian Eyben;Klaus R. Scherer;Bjorn W. Schuller;Johan Sundberg.
IEEE Transactions on Affective Computing (2016)

948 Citations

The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

Björn W. Schuller;Stefan Steidl;Anton Batliner;Alessandro Vinciarelli.
conference of the international speech communication association (2013)

699 Citations

OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

Florian Eyben;Martin Wollmer;Bjorn Schuller.
affective computing and intelligent interaction (2009)

466 Citations

AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

Michel Valstar;Björn Schuller;Kirsty Smith;Florian Eyben.
acm multimedia (2013)

435 Citations

Abandoning Emotion Classes - Towards Continuous Emotion Recognition with Modelling of Long-Range Dependencies

Martin Wöllmer;Florian Eyben;Stephan Reiter;Björn W. Schuller.
conference of the international speech communication association (2008)

373 Citations

Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

B Schuller;B Vlasenko;F Eyben;Martin Wöllmer.
IEEE Transactions on Affective Computing (2010)

371 Citations

AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge

Michel Valstar;Björn Schuller;Kirsty Smith;Timur Almaev.
Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge (2014)

354 Citations

AVEC 2011-the first international audio/visual emotion challenge

Björn Schuller;Michel Valstar;Florian Eyben;Gary McKeown.
affective computing and intelligent interaction (2011)

341 Citations

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