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Todorov, Diman and Setchi, Rossitza  ORCID: https://orcid.org/0000-0002-7207-6544
2014.
Time-efficient estimation of conditional mutual information for variable selection in classification.
Computational Statistics and Data Analysis
72
, pp. 105-127.
10.1016/j.csda.2013.10.026
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Todorov, Diman, Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544 and Bayer, Antony James ORCID: https://orcid.org/0000-0002-7514-248X
2013.
Linguistic markers in the sentence writing question of the mini-mental state examination for discrimination between Alzheimer's and Vascular Dementia.
Presented at: 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems,
Kitakyushu, Japan,
9 -12 September 2013.
17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems: General Track Proceedings.
pp. 114-123.
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Todorov, Diman
2013.
Enhanced interpretation of the
Mini-Mental State Examination.
PhD Thesis,
Cardiff University.
Item availability restricted. |
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Stankov, Ivan Dimitrov, Todorov, Diman and Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544
2013.
Semantically enhanced text stemmer (SETS) for cross-domain document clustering.
Presented at: KES 2012: 16th International Conferenc eon Knowledge-Based and Intelligent Information and Engineering Systems,
San Sebastian, Spain,
10-12 September 2012.
Published in: Grana, M., Toro, C., Howlett, R. J. and Jain, L. C. eds.
Knowledge Engineering, Machine Learning and Lattice Computing with Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers.
Lecture Notes in Computer Science.
Lecture Notes in Computer Science
, vol.7828
Berlin and Heidelberg:
Springer,
108 -118.
10.1007/978-3-642-37343-5_12
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Stankov, Ivan Dimitrov, Todorov, Diman and Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544
2013.
Enhanced Cross-Domain Document Clustering with a Semantically Enhanced Text Stemmer (SETS).
International Journal of Knowledge-based and Intelligent Engineering Systems
17
(2)
, pp. 113-126.
10.3233/KES-130267
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