2009 |
29 | EE | András Horváth,
Gábor Horváth,
Miklós Telek:
A traffic based decomposition of two-class queueing networks with priority service.
Computer Networks 53(8): 1235-1248 (2009) |
2008 |
28 | EE | András Horváth,
Gábor Horváth,
Miklós Telek:
A Joint Moments Based Analysis of Networks of MAP/MAP/1 Queues.
QEST 2008: 125-134 |
27 | EE | Gábor Horváth:
Cerebellar Model Arithmetic Computer.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
26 | EE | Levente Bodrog,
Armin Heindl,
Gábor Horváth,
Miklós Telek:
A Markovian canonical form of second-order matrix-exponential processes.
European Journal of Operational Research 190(2): 459-477 (2008) |
25 | EE | Gábor Horváth,
Chrystopher L. Nehaniv,
Csaba Szabó:
An assertion concerning functionally complete algebras and NP-completeness.
Theor. Comput. Sci. 407(1-3): 591-595 (2008) |
2007 |
24 | EE | Gábor Horváth,
Miklós Telek:
A Canonical Representation of Order 3 Phase Type Distributions.
EPEW 2007: 48-62 |
23 | EE | Levente Bodrog,
Armin Heindl,
Gábor Horváth,
Miklós Telek,
András Horváth:
Current results and open questions on PH and MAP characterization.
Numerical Methods for Structured Markov Chains 2007 |
22 | EE | Gábor Horváth,
Tamás Szabó:
Kernel CMAC With Improved Capability.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 124-138 (2007) |
21 | EE | Miklós Telek,
Gábor Horváth:
A minimal representation of Markov arrival processes and a moments matching method.
Perform. Eval. 64(9-12): 1153-1168 (2007) |
2006 |
20 | EE | Márta Altrichter,
Gábor Horváth:
The Refinement of Microcalcification Cluster Assessment by Joint Analysis of MLO and CC Views.
Digital Mammography / IWDM 2006: 509-516 |
19 | EE | Armin Heindl,
Gábor Horváth,
Karsten Gross:
Explicit Inverse Characterizations of Acyclic MAPs of Second Order.
EPEW 2006: 108-122 |
18 | EE | Levente Bodrog,
Gábor Horváth,
Sándor Rácz,
Miklós Telek:
A tool support for automatic analysis based on the tagged customer approach.
QEST 2006: 323-332 |
17 | EE | Gábor Horváth,
Csaba Szabó:
The Complexity of Checking Identities over Finite Groups.
IJAC 16(5): 931-940 (2006) |
2005 |
16 | | József Valyon,
Gábor Horváth:
A Robust LS-SVM Regression.
IEC (Prague) 2005: 148-153 |
15 | EE | Gábor Horváth,
Miklós Telek,
Peter Buchholz:
A MAP fitting approach with independent approximation of the inter-arrival time distribution and the lag correlation.
QEST 2005: 124-133 |
14 | EE | Márta Altrichter,
Zoltán Ludányi,
Gábor Horváth:
Joint Analysis of Multiple Mammographic Views in CAD Systems for Breast Cancer Detection.
SCIA 2005: 760-769 |
13 | EE | Gábor Horváth,
Miklós Telek:
Analysis of a BMAP/D/1-Timer Multiplexer.
Electr. Notes Theor. Comput. Sci. 128(4): 25-44 (2005) |
2004 |
12 | EE | Gábor Horváth,
Sándor Rácz,
Miklós Telek:
Analysis of Second-Order Markov Reward Models.
DSN 2004: 845- |
11 | EE | Gábor Horváth,
Sándor Rácz,
Árpád Tari,
Miklós Telek:
Evaluation of Reward Analysis Methods with MRMSolve 2.0.
QEST 2004: 165-174 |
10 | EE | Tamás Szabó,
Gábor Horváth:
An Efficient Hardware Implementation of Feed-Forward Neural Networks.
Appl. Intell. 21(2): 143-158 (2004) |
9 | EE | Gergely Szentesi,
Gábor Horváth,
Imre Bori,
György Vámosi,
János Szöllösi,
Rezsö Gáspár,
Sándor Damjanovich,
Attila Jenei,
László Mátyus:
Computer program for determining fluorescence resonance energy transfer efficiency from flow cytometric data on a cell-by-cell basis.
Computer Methods and Programs in Biomedicine 75(3): 201-211 (2004) |
2001 |
8 | EE | P. Berényi,
József Valyon,
Gábor Horváth:
Neural Modeling of an Industrial Process with Noisy Data.
IEA/AIE 2001: 269-280 |
7 | EE | Tamás Szabó,
Gábor Horváth:
An Efficient Hardware Implementation of Feed-Forward Neural Networks.
IEA/AIE 2001: 300-313 |
2000 |
6 | EE | Tim O'Neill,
John Leaney,
David Rowe,
Hugo Simpson,
Murali Rangarajan,
Jurgen Weiss,
Zoltan Papp,
Ted Bapty,
Byron Purves,
Gábor Horváth,
Edwin D. de Jong:
IEEE ECBS'99 TC Architecture Working Group (AWG) Report.
ECBS 2000: 383-389 |
5 | EE | Tamás Szabó,
Lörinc Antoni,
Gábor Horváth,
Béla Fehér:
A Full-Parallel Digital Implementation for Pre-Trained NNs.
IJCNN (2) 2000: 49-54 |
4 | EE | Tamás Szabó,
Gábor Horváth:
Improving the Generalization Capability of the Binary CMAC.
IJCNN (3) 2000: 85-90 |
1998 |
3 | EE | Tamás Szabó,
Béla Fehér,
Gábor Horváth:
Neural network implementation using distributed arithmetic.
KES (3) 1998: 510-518 |
2 | | Gábor Horváth,
Tamás Szabó:
Higher Order CMAC and its Efficient Hardware Realization.
NC 1998: 72-78 |
1981 |
1 | | Gábor Horváth:
Functor state machines.
Acta Cybern. 5: 147-172 (1981) |