The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
On combining classifiers using sum and product rules
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Claims other papers make about this one
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In the citing paper
“A number of works have shown that among fusion strategies, the weighted arithmetic mean of per-model outputs is the least sensitive to errors of individual classifiers [50].”
From ModDrop: Adaptive Multi-Modal Gesture Recognition (2016) · cites this paper as [50]
Citations
Cites
Neural networks for pattern recognition
Bishop, C. (1994) · Choice Reviews Online · doi:10.5860/choice.31-5500 · Cited by 18,537
UCI Repository of machine learning databases
Blake, C. L. (1998) · Medical Entomology and Zoology · Cited by 10,582
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 5,394
Hansen, L. K., & Salamon, P. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.58871 · Cited by 4,260
Popular Ensemble Methods: An Empirical Study
Opitz, D., & Maclin, R. (1999) · Journal of Artificial Intelligence Research · doi:10.1613/jair.614 · Cited by 2,953
Neural networks for pattern recognition
Marshall, J. A. (1995) · Neural Networks · doi:10.1016/0893-6080(95)90002-0 · Cited by 1,888
Neural Network Toolbox™ User's Guide
Beale, M. H., Hagan, M., & Demuth, H. B. (2015) · Cited by 1,643
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
Richard, M. D., & Lippmann, R. P. (1991) · Neural Computation · doi:10.1162/neco.1991.3.4.461 · Cited by 1,004
Optimal Linear Combinations of Neural Networks
Hashem, S. (1997) · Neural Networks · doi:10.1016/s0893-6080(96)00098-6 · Cited by 499
Combining the results of several neural network classifiers
Rogova, G. L. (1994) · Neural Networks · doi:10.1016/0893-6080(94)90099-x · Cited by 404
Cited by
Sorted by citations
ModDrop: Adaptive Multi-Modal Gesture Recognition
Neverova, N., Wolf, C., Taylor, G., & Nebout, F. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2461544 · Cited by 420
Identity verification using speech and face information
Sanderson, C., & Paliwal, K. K. (2004) · Digital Signal Processing · doi:10.1016/j.dsp.2004.05.001 · Cited by 157
Information Fusion and Person Verification Using Speech & Face Information
Sanderson, C., & Paliwal, K. K. (2002) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 106
Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models
Chou, J., & Lin, C. (2012) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000197 · Cited by 93
Predicting financial distress of contractors in the construction industry using ensemble learning
Choi, H., Son, H., & Kim, C. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.05.026 · Cited by 101
Metadata
- Authors
- Alexandre, L. A., Campilho, A. C., & Kamel, M.
- Affiliations
- Universidade do Porto (PT)
- University of Waterloo (CA)
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2001-10
- Volume
- 22
- Issue
- 12
- Pages
- 1283-1289
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2029458478
- Cited by
- 117
- References
- 14
- Citations by year
- 2024: 1 · 2023: 4 · 2022: 4 · 2021: 5 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 3 · 2016: 4 · 2015: 8 · 2014: 5 · 2013: 6 · 2012: 10
- FWCI
- 2.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition Letters (publishedVersion)
- Funders
- Fundação para a Ciência e a Tecnologia
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- classifier combination, ensemble learning, sum rules, product rule, arithmetic mean, geometric mean, binary classification
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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