2008 |
11 | EE | Dragan Obradovic,
C. Na,
Ruxandra Lupas Scheiterer,
A. Szabo:
EM-based semi-blind channel estimation method for MIMO-OFDM communication systems.
Neurocomputing 71(10-12): 2388-2398 (2008) |
2007 |
10 | EE | Ruxandra Lupas Scheiterer,
Dragan Obradovic,
Volker Tresp:
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge.
VLSI Signal Processing 49(2): 301-316 (2007) |
2006 |
9 | EE | Dragan Obradovic,
Henning Lenz,
Markus Schupfner:
Fusion of Map and Sensor Data in a Modern Car Navigation System.
VLSI Signal Processing 45(1-2): 111-122 (2006) |
2005 |
8 | EE | Danilo P. Mandic,
Dragan Obradovic,
Anthony Kuh,
Tülay Adali,
Udo Trutschel,
Martin Golz,
Philippe De Wilde,
Javier A. Barria,
Anthony Constantinides,
Jonathon A. Chambers:
Data Fusion for Modern Engineering Applications: An Overview.
ICANN (2) 2005: 715-721 |
7 | EE | Dragan Obradovic,
Ruxandra Scheiterer:
Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory Information.
ICANN (2) 2005: 729-734 |
6 | EE | Ruxandra Scheiterer,
Dragan Obradovic:
Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM Troubleshooting.
ICANN (2) 2005: 747-752 |
2000 |
5 | EE | Dragan Obradovic:
Stability and Performance Robustness Issues in Neural Network Feedback Linearization.
IJCNN (1) 2000: 248-253 |
1998 |
4 | | Dragan Obradovic,
Gustavo Deco:
Information Maximization and Independent Component Analysis: Is There a Difference?
Neural Computation 10(8): 2085-2101 (1998) |
1996 |
3 | EE | Dragan Obradovic,
Gustavo Deco:
An information theory based learning paradigm for linear feature extraction.
Neurocomputing 12(2-3): 203-221 (1996) |
1995 |
2 | EE | Gustavo Deco,
Dragan Obradovic:
Linear redundancy reduction learning.
Neural Networks 8(5): 751-755 (1995) |
1993 |
1 | | Dragan Obradovic,
Gustavo Deco,
Herbert Furumoto,
C. Fricke:
Application of Neural Networks in Pulp Production.
KI 1993: 376-383 |