Results for Feature selection

Publications & Outputs

1. Evaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional data

   Zhang, Y., Zhu, R., Chen, Z., Gao, J. & Xia, D., 6/10/2020, (E-pub ahead of print) In: European Journal of Operational Research. 290, 1, p. 235-247 13 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Towards short term electricity load forecasting using improved support vector machine and extreme learning machine

   Ahmad, W., Ayub, N., Ali, T., Irfan, M., Awais, M., Shiraz, M. & Glowacz, A., 5/06/2020, In: Energies. 13, 11, 17 p., 2907.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

3. Automatic time series analysis for electric load forecasting via support vector regression

   Maldonado, S., González, A. & Crone, S., 1/10/2019, In: Applied Soft Computing Journal. 83, 9 p., 105616.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. Freedom: Online activity recognition via dictionary-based sparse representation of RFID sensing data

   Yao, L., Sheng, Q. Z., Li, X., Wang, S., Gu, T., Ruan, W. & Zou, W., 5/01/2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Zhou, Z-H., Aggarwal, C., Xiong, H., Tuzhilin, A. & Wu, X. (eds.). IEEE, p. 1087-1092 6 p. 7373440

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

5. Developing an approach to evaluate stocks by forecasting effective features with data mining methods

   Barak, S. & Modarres, M., 15/02/2015, In: Expert Systems with Applications. 42, 3, p. 1325-1339 15 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. Gender Classification of Web Authors Using Feature Selection and Language Models

   Aravantinou, C., Simaki, V., Mporas, I. & Megalooikonomou, V., 2015, SPECOM 2015: Speech and Computer. Ronzhin, A., Potapova, R. & Fakotakis, N. (eds.). Cham: Springer, p. 226-233 8 p. (Lecture Notes in Computer Science; vol. 9319).

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

7. Traffic anomaly diagnosis in Internet backbone networks: a survey

   Marnerides, A., Schaeffer-Filho, A. & Mauthe, A., 14/11/2014, In: Computer Networks. 73, p. 224-243 20 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

8. Feature selection for time series prediction - A combined filter and wrapper approach for neural networks

   Crone, S. F. & Kourentzes, N., 06/2010, In: Neurocomputing. 73, 10-12, p. 1923-1936 14 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

9. Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence

   Tasoulis, D. K., Spyridonos, P., Pavlidis, N., Cavouras, D., Ravazoula, P., Nikiforidis, G. & Vrahatis, M. N., 11/2006, In: Artificial Intelligence in Medicine. 38, 3, p. 291-303 13 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

10. An inductive learning method for medical diagnosis

    Lashkia, G. V. & Anthony, L., 01/2003, In: Pattern Recognition Letters. 24, 1-3, p. 273-282 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review