Michael Georgiopoulos, Director of ML^2, is serving as the Program Co-Chair of IJCNN 2011, one of the premier neural network conferences. IJCNN 2011 (http://www.ijcnn2011.org) is going to be held in San Jose, CA from July 31st to August 5th 2011.
Cong Li, an ML^2 member, has a paper, titled "Learning in the Feed-Forward Random Neural Network: A Critical Review", accepted at the Performance Evaluation journal
Anna Koufakou, an ML^2 alumni, has a paper, titled “Non-derivable Itemsets for Fast Outlier Detection in High-Dimensional Categorical Data” accepted at the Knowledge and Information Systems (KAIS) journal.
Anna Koufakou, an ML^2 alumni, has a paper, titled “Non-derivable Itemsets for Fast Outlier Detection in High-Dimensional Categorical Data” at the Knowledge and Information Systems (KAIS) journal.
Michael Georgiopoulos, the Director of the ML^2, was honored at the 2010 UCF Founder’s Day, with the Pegasus Professorship award for his contributions in teaching, research and service.
Members of the ML^2 have had two conference papers accepted at the upcoming WCCI 2010 conference, in Barcelona, Spain. The papers are titled: “Multi-Objective Memetic Evolution of ART-based Classifiers” (to appear in CEC-2010), and Metric Representations of Data via the Kernel-based Sammon Mapping (to appear in IJCNN 2010).
Jimmy Secretan, an ML^2 alumni has had one of his papers accepted (2010) at the Future Generation Computer Systems journal. The paper is titled “APHID : an Architecture for Private, High-performance Integrated Data mining”.
Assem Kaylani, an ML^2 lab alumni has published (2010) a paper, titled "An Adaptive Multi-Objective Approach to Evolving ART Architectures” at the IEEE Transactions on Neural Networks, Vol. 21, Issue 4, pp. 529-550.
Anna Koufakou, an ML^2 lab alumni has published (2010) a paper, titled “A Fast Outlier Detection Strategy for Distributed High-Dimensional Data Sets with Mixed Attributes” at the Data Mining and Knowledge Discovery journal, Vol. 20, Issue 2, pp. 259-289.
This is the home page