The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
A unifying information-theoretic framework for independent component analysis
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Cites
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 36,808
Advances in neural information processing systems 7
Cios, K., & Shields, M. (1997) · Neurocomputing · doi:10.1016/s0925-2312(97)90018-7 · Cited by 22,059
Probability, Random Variables, and Stochastic Processes.
Abrahams, J., & Papoulis, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288754 · Cited by 16,226
Haykin, S. (1986) · Cited by 12,603
Rogers, S. (1996) · Control Engineering Practice · doi:10.1016/0967-0661(96)82838-3 · Cited by 9,278
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Self-citationIndependent component analysis, A new concept?
Comon, P. (1994) · Signal Processing · doi:10.1016/0165-1684(94)90029-9 · Cited by 8,205
A Fast Fixed-Point Algorithm for Independent Component Analysis
Hyvärinen, A., & Oja, E. (1997) · Neural Computation · doi:10.1162/neco.1997.9.7.1483 · Cited by 3,391
Elements of Information Theory
Jacobs, K. (1992) · Discrete Stochastics · doi:10.1007/978-3-0348-8645-1_7 · Cited by 2,918
(1961) · Information and Control · doi:10.1016/s0019-9958(61)80064-8 · Cited by 2,875
Cited by
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Lee, T.-W., Girolami, M., & Sejnowski, T. J. (1999) · Neural Computation · doi:10.1162/089976699300016719 · Cited by 1,967
Self-citationDelorme, A., Sejnowski, T., & Makeig, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.004 · Cited by 1,759
Self-citationIndependent EEG Sources Are Dipolar
Delorme, A., Palmer, J., Onton, J., Oostenveld, R., & Makeig, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030135 · Cited by 810
Marucci, M., Di Flumeri, G., Borghini, G., Sciaraffa, N., Scandola, M., Pavone, E. F., Babiloni, F., Betti, V., & Aricò, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-84196-8 · Cited by 170
Metadata
- Authors
- Lee, T.-W., Girolami, M., Bell, A. J., & Sejnowski, T. J.
- Venue
- Computers & Mathematics with Applications
- Publisher
- Elsevier BV
- Published
- 2000-06
- Volume
- 39
- Issue
- 11
- Pages
- 1-21
- ISSN
- 0898-1221 (ISSN-L)
- OpenAlex
- W2086726221
- Cited by
- 355
- References
- 69
- FWCI
- 39.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lee, T.-W., Girolami, M., Bell, A. J., & Sejnowski, T. J. (2000). A unifying information-theoretic framework for independent component analysis. Computers & Mathematics with Applications. https://doi.org/10.1016/s0898-1221(00)00101-2
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.
