The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Mixture of experts: a literature survey
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Citations
Cites
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Ensemble methods in machine learning
Dietterich, T. G. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-45014-9_1 · Cited by 8,408
Adaptive Mixtures of Local Experts
Jacobs, R. A., Jordan, M. I., Nowlan, S. J., & Hinton, G. E. (1991) · Neural Computation · doi:10.1162/neco.1991.3.1.79 · Cited by 5,384
Kittler, J., Hatef, M., Duin, R. P. W., & Matas, J. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.667881 · Cited by 5,290
The Strength of Weak Learnability
Schapire, R. E. (1990) · Machine Learning · doi:10.1007/bf00116037 · Cited by 4,600
Combining Pattern Classifiers: Methods and Algorithms
Bagui, S. C. (2005) · Technometrics · doi:10.1198/tech.2005.s320 · Cited by 3,202
Combining Pattern Classifiers: Methods and Algorithms
Kuncheva, L. I. (2004) · Wiley eBooks · doi:10.1002/0471660264 · Cited by 3,005
Ensemble based systems in decision making
Polikar, R. (2006) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2006.1688199 · Cited by 2,938
Hierarchical Mixtures of Experts and the EM Algorithm
Jordan, M. I., & Jacobs, R. A. (1994) · Neural Computation · doi:10.1162/neco.1994.6.2.181 · Cited by 2,673
Rokach, L. (2010) · Artificial Intelligence Review · doi:10.1007/s10462-009-9124-7 · Cited by 2,657
Cited by
Sagi, O., & Rokach, L. (2018) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1249 · Cited by 3,103
Li, X., Gu, Y., Dvornek, N., Staib, L. H., Ventola, P., & Duncan, J. S. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101765 · Cited by 480
Masoudnia, S., Mersa, O., Araabi, B. N., Vahabie, A.-H., Sadeghi, M. A., & Ahmadabadi, M. N. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.03.040 · Cited by 57
Self-citationOn the foundations of Earth foundation models
Zhu, X. X., Xiong, Z., Wang, Y., Stewart, A. J., Heidler, K., Wang, Y., Yuan, Z., Dujardin, T., Xu, Q., & Shi, Y. (2026) · Communications Earth & Environment · doi:10.1038/s43247-025-03127-x · Cited by 26
Adaptive Text to Speech for Spontaneous Style
Yan, Y., Tan, X., Li, B., Zhang, G., Qin, T., Zhao, S., Shen, Y., Zhang, W.-Q., & Liu, T.-Y. (2021) · Interspeech 2021 · doi:10.21437/interspeech.2021-584 · Cited by 23
Metadata
- Authors
- Masoudnia, S., & Ebrahimpour, R.
- Venue
- Artificial Intelligence Review
- Published
- 2012-05-12
- Volume
- 42
- Issue
- 2
- Pages
- 275-293
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2066334462
- Cited by
- 561
- References
- 44
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- CoChat. (2026). Citation check: Mixture of experts: a literature survey. https://app.cochat.ai/papers/10.1007/s10462-012-9338-y
- The paper
- Masoudnia, S., & Ebrahimpour, R. (2014). Mixture of experts: a literature survey. Artificial Intelligence Review. https://doi.org/10.1007/s10462-012-9338-y
Data sources
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.
