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 |
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. |
Todorov, Diman
2013.
Enhanced interpretation of the
Mini-Mental State Examination.
PhD Thesis,
Cardiff University.
Item availability restricted. |
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 |
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 |