 | 2009 |
|---|
| 11 |       | Amit Bhaya,
Fernando A. Pazos,
Eugenius Kaszkurewicz:
Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions.
ICANN (1) 2009: 668-677 |
| 10 | | Ricardo Linden,
Amit Bhaya:
Evolving a Fuzzy Rulebase to Model Gene Expression.
Fuzzy Systems in Bioinformatics and Computational Biology 2009: 191-215 |
| 9 | | Oumar Diene,
Amit Bhaya:
Perceptron training algorithms designed using discrete-time control Liapunov functions.
Neurocomputing 72(13-15): 3131-3137 (2009) |
| 8 | | Fernando A. Pazos,
Amit Bhaya:
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems.
Neurocomputing 72(16-18): 3863-3872 (2009) |
| 2008 |
|---|
| 7 | | Leonardo V. Ferreira,
Eugenius Kaszkurewicz,
Amit Bhaya:
Image restoration using L1-norm regularization and a gradient-based neural network with discontinuous activation functions.
IJCNN 2008: 2512-2519 |
| 2006 |
|---|
| 6 | | Leonardo V. Ferreira,
Eugenius Kaszkurewicz,
Amit Bhaya:
Parallel Implementation of Gradient-Based Neural Networks for SVM Training.
IJCNN 2006: 339-346 |
| 5 | | Leonardo V. Ferreira,
Eugenius Kaszkurewicz,
Amit Bhaya:
Support vector classifiers via gradient systems with discontinuous righthand sides.
Neural Networks 19(10): 1612-1623 (2006) |
| 2004 |
|---|
| 4 | | Amit Bhaya,
Eugenius Kaszkurewicz:
Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method.
Neural Networks 17(1): 65-71 (2004) |
| 2002 |
|---|
| 3 |  | Ricardo Linden,
Amit Bhaya:
Reverse Engineering of Genetic Networks Using Variable Length Genetic Algorithms with a Boolean Network Model.
WOB 2002: 94-96 |
| 1996 |
|---|
| 2 | | Benjamín Barán,
Eugenius Kaszkurewicz,
Amit Bhaya:
Parallel Asynchronous Team Algorithms: Convergence and Performance Analysis.
IEEE Trans. Parallel Distrib. Syst. 7(7): 677-688 (1996) |
| 1995 |
|---|
| 1 | | Amit Bhaya,
Eugenius Kaszkurewicz,
V. S. Kozyakin:
Existence and Stability of a Unique Equilibrium in Continuous-Valued Discrete-Time Asynchronous Hopfield Neural Networks.
ISCAS 1995: 1140-1143 |
