The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Speech emotion recognition based on feature selection and extreme learning machine decision tree
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Citations
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
Extreme learning machine: Theory and applications
Huang, G.-B., Zhu, Q.-Y., & Siew, C.-K. (2006) · Neurocomputing · doi:10.1016/j.neucom.2005.12.126 · Cited by 13,285
Salovey, P., & Mayer, J. D. (1990) · Imagination, Cognition and Personality · doi:10.2190/dugg-p24e-52wk-6cdg · Cited by 10,484
Libsvm : A library for support vector machines
Ferrari, V. (2008) · Medical Entomology and Zoology · Cited by 10,122
Extreme learning machine: a new learning scheme of feedforward neural networks
Huang, G.-B., Zhu, Q.-Y., & Siew, C.-K. (2005) · 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) · doi:10.1109/ijcnn.2004.1380068 · Cited by 4,084
A survey of deep neural network architectures and their applications
Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y., & Alsaadi, F. E. (2017) · Neurocomputing · doi:10.1016/j.neucom.2016.12.038 · Cited by 3,239
Survey on speech emotion recognition: Features, classification schemes, and databases
El Ayadi, M., Kamel, M. S., & Karray, F. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2010.09.020 · Cited by 2,073
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
Eyben, F., Scherer, K. R., Schuller, B. W., Sundberg, J., Andre, E., Busso, C., Devillers, L. Y., Epps, J., Laukka, P., Narayanan, S. S., et al. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2457417 · Cited by 1,818
Proceedings of Interspeech 2013
Lu, L., Ghoshal, A. K., & Renals, S. J. (2013) · Proceedings - International Symposium on Computer Architecture/Proceedings · Cited by 1,003
Toward detecting emotions in spoken dialogs
Lee, C. M., & Narayanan, S. S. (2005) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2004.838534 · Cited by 988
Cited by
Khare, S. K., Blanes-Vidal, V., Nadimi, E. S., & Acharya, U. R. (2024) · Information Fusion · doi:10.1016/j.inffus.2023.102019 · Cited by 469
Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM
Mustaqeem, Sajjad, M., & Kwon, S. (2020) · IEEE Access · doi:10.1109/access.2020.2990405 · Cited by 402
Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives
Spezialetti, M., Placidi, G., & Rossi, S. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.532279 · Cited by 293
Speech Emotion Classification Using Attention-Based LSTM
Xie, Y., Liang, R., Liang, Z., Huang, C., Zou, C., & Schuller, B. (2019) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2019.2925934 · Cited by 282
Accelerating materials discovery using machine learning
Juan, Y., Dai, Y., Yang, Y., & Zhang, J. (2021) · Journal of Materials Science & Technology · doi:10.1016/j.jmst.2020.12.010 · Cited by 240
Metadata
- Authors
- Liu, Z.-T., Wu, M., Cao, W.-H., Mao, J.-W., Xu, J.-P., & Tan, G.-Z.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 273
- Pages
- 271-280
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2747506362
- Cited by
- 267
- References
- 44
- FWCI
- 29.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Speech emotion recognition based on feature selection and extreme learning machine decision tree. https://app.cochat.ai/papers/10.1016/j.neucom.2017.07.050
- The paper
- Liu, Z.-T., Wu, M., Cao, W.-H., Mao, J.-W., Xu, J.-P., & Tan, G.-Z. (2018). Speech emotion recognition based on feature selection and extreme learning machine decision tree. Neurocomputing. https://doi.org/10.1016/j.neucom.2017.07.050
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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.
