Kourosh Neshatian

Senior LecturerKourosh Neshatian

Jack Erskine 212
Internal Phone: 92455

Qualifications & Memberships

Research Interests

I am interested in a wide range topics that fall under computer science, artificial intelligence and machine learning.

Recent Publications

  • Neshatian K. and Varn, L. (2017) On the Existence of Feature Bundles and their Effect on Symbolic Regression Algorithms. Honolulu, Hawaii, USA: The 2017 IEEE Symposium Series on Computational Intelligence, 27 Nov-1 Dec 2017.
  • Yamada S. and Neshatian K. (2017) Hyper-parameter search in support vector machines using PSO with cellular fitness approximation. In SSCI: 1-8.
  • Yamada S. and Neshatian K. (2017) Kernel construction and feature subset selection in support vector machines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10593 LNCS: 605-616. http://dx.doi.org/10.1007/978-3-319-68759-9_49.
  • Yamada S. and Neshatian K. (2017) Multiple kernel learning with one-level optimization of radius and margin. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10400 LNAI: 52-63. http://dx.doi.org/10.1007/978-3-319-63004-5_5.
  • Stockdill A. and Neshatian K. (2016) Restricted echo state networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9992 LNAI: 555-560. http://dx.doi.org/10.1007/978-3-319-50127-7_49.