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2010 – 2019
- 2010
[c10]Heng Kuang, Olga Ormandjieva, Stan Klasa, Jamal Bentahar
:
A formal specification of fault-tolerance in prospecting asteroid mission with Reactive Autonomie Systems Framework. ASAP 2010: 99-106- [c9]Noorulain Khurshid, Olga Ormandjieva, Stan Klasa:
Towards a Tool Support for Specifying Complex Software Systems by Categorical Modeling Language. SERA (selected papers) 2010: 133-149 - [c8]Heng Kuang, Jamal Bentahar, Olga Ormandjieva, Nassir Shafieidizaji, Stan Klasa:
Formal Specification of Substitutability Property for Fault-Tolerance in Reactive Autonomic Systems. SoMeT 2010: 357-380
2000 – 2009
- 2009
- [c7]Olga Ormandjieva, Heng Kuang, Stan Klasa:
Reactive Autonomic System Performance Modeling and Self-monitoring with Category Theory. ICSOFT (1) 2009: 325-330 - [c6]Heng Kuang, Olga Ormandjieva, Stan Klasa, Noorulain Khurshid, Jamal Bentahar:
Towards Specifying Reactive Autonomic Systems with a Categorical Approach: A Case Study. SERA (selected papers) 2009: 119-134 - [p1]Olga Ormandjieva, Victoria Mikhnovsky, Stan Klasa:
Categorical Representation of Decision-Making Process Guided by Performance in Enterprise Integration Systems. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2009: 221-232
1990 – 1999
- 1995
- [c5]Tao Li, Luyuan Fang, D. Guo, Stan Klasa:
Predicting exchange rates using a fuzzy learning system. CIFEr 1995: 103-107 - [c4]Adam Krzyzak, Stan Klasa, Lei Xu:
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification. ICNN 1995: 2243-2246 - [c3]Hongfeng Yin, Stan Klasa:
Learning rate and outlier analysis of linear learning algorithms. ICNN 1995: 2835-2840 - [c2]Hongfeng Yin, Stan Klasa:
Linear neural network learning algorithm analysis. ICNN 1995: 2847-2852 - 1994
- [c1]Adam Krzyzak, Stan Klasa, Lei Xu:
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification. ICPR (2) 1994: 364-366 - 1992
- [j1]Lei Xu, Stan Klasa, Alan L. Yuille:
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. Int. J. Neural Syst. 3(3): 253-290 (1992)
Coauthor Index
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