The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
AVEC 2011–The First International Audio/Visual Emotion Challenge
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Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
The WEKA data mining software: an update
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Opensmile: the munich versatile and fast open-source audio feature extractor
Eyben, F., Wöllmer, M., & Schuller, B. (2010) · Proceedings of the 18th ACM international conference on Multimedia · doi:10.1145/1873951.1874246 · Cited by 2,642
Self-citationThe INTERSPEECH 2009 emotion challenge
Schuller, B., Steidl, S., & Batliner, A. (2009) · Interspeech 2009 · doi:10.21437/interspeech.2009-103 · Cited by 938
Self-citationOpenEAR — Introducing the munich open-source emotion and affect recognition toolkit
Eyben, F., Wollmer, M., & Schuller, B. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops · doi:10.1109/acii.2009.5349350 · Cited by 418
Self-citationThe first facial expression recognition and analysis challenge
Valstar, M. F., Jiang, B., Mehu, M., Pantic, M., & Scherer, K. (2011) · Face and Gesture 2011 · doi:10.1109/fg.2011.5771374 · Cited by 385
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Cited by
Multimodal Machine Learning: A Survey and Taxonomy
Baltrusaitis, T., Ahuja, C., & Morency, L.-P. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2798607 · Cited by 5,018
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
Mollahosseini, A., Hasani, B., & Mahoor, M. H. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2740923 · Cited by 2,338
Self-report captures 27 distinct categories of emotion bridged by continuous gradients
Cowen, A. S., & Keltner, D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1702247114 · Cited by 897
Ringeval, F., Schuller, B., Valstar, M., Cummins, N., Cowie, R., Tavabi, L., Schmitt, M., Alisamir, S., Amiriparian, S., Messner, E.-M., et al. (2019) · Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop · doi:10.1145/3347320.3357688 · Cited by 409
Self-citationGunes, H., & Schuller, B. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.016 · Cited by 360
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Metadata
- Authors
- Schuller, B., Valstar, M., Eyben, F., McKeown, G., Cowie, R., & Pantic, M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 415-424
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2130162821
- Cited by
- 271
- References
- 7
- FWCI
- 58.26
- Type
- conference paper
- Language
- fr
- Open access
- green
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- Schuller, B., Valstar, M., Eyben, F., McKeown, G., Cowie, R., & Pantic, M. (2011). AVEC 2011–The First International Audio/Visual Emotion Challenge. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-24571-8_53
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
