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András Horváth
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2020 – today
- 2025
- [e5]Arnaud Devos, András Horváth, Sabina Rossi:
Analytical and Stochastic Modelling Techniques and Applications - 28th International Conference, ASMTA 2024, Venice, Italy, June 14, 2024, Proceedings. Lecture Notes in Computer Science 14826, Springer 2025, ISBN 978-3-031-70752-0 [contents] - 2024
- [c73]András Horváth:
Stable Diffusion with Memristive Cellular Neural Networks. ISCAS 2024: 1-5 - [c72]Pierre Cry, András Horváth, Paolo Ballarini, Pascale Le Gall:
A Framework for Optimisation Based Stochastic Process Discovery. QEST+FORMATS 2024: 34-51 - [c71]András Horváth, Illés Horváth, Marco Paolieri, Miklós Telek, Enrico Vicario:
Approximation of Cumulative Distribution Functions by Bernstein Phase-Type Distributions. QEST+FORMATS 2024: 90-106 - [i18]Pierre Cry, András Horváth, Paolo Ballarini, Pascale Le Gall:
A framework for optimisation based stochastic process discovery. CoRR abs/2406.10817 (2024) - 2023
- [c70]András Horváth, Enrico Vicario:
Construction of Phase Type Distributions by Bernstein Exponentials. EPEW 2023: 201-215 - [c69]András Horváth, Csaba Mate Józsa:
Targeted Adversarial Attacks on Generalizable Neural Radiance Fields. ICCV (Workshops) 2023: 3720-3729 - [c68]András Horváth, Alon Ascoli, Ronald Tetzlaff:
Implementation of the XOR gate with two memristive neurons. MOCAST 2023: 1-5 - [c67]András Horváth, Marco Paolieri, Enrico Vicario:
Equilibrium Analysis of Markov Regenerative Processes. QEST 2023: 172-187 - [i17]Gergely Szabó, Paolo Bonaiuti, Andrea Ciliberto, András Horváth:
Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach. CoRR abs/2308.03887 (2023) - [i16]András Horváth, Csaba Mate Józsa:
Targeted Adversarial Attacks on Generalizable Neural Radiance Fields. CoRR abs/2310.03578 (2023) - 2022
- [j27]Olivér M. Balogh, Bettina Benczik, András Horváth, Mátyás Pétervári, Péter Csermely, Péter Ferdinandy, Bence Ágg:
Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model. BMC Bioinform. 23(1): 78 (2022) - [c66]Bálint Magyar, Márton Tokodi, András Soós, Máté Tolvaj, Bálint Károly Lakatos, Alexandra Fábián, Elena Surkova, Béla Merkely, Attila Kovács, András Horváth:
RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function. ECCV Workshops (3) 2022: 569-583 - [c65]Jalal Al-Afandi, Bálint Magyar, András Horváth:
Saliency Map Based Data Augmentation. ICPR 2022: 4751-4757 - [c64]Gergely Szabó, András Horváth:
Mitigating the Bias of Centered Objects in Common Datasets. ICPR 2022: 4786-4792 - [c63]Soma Kontár, András Horváth:
On the Feasibility and Generality of Patch-Based Adversarial Attacks on Semantic Segmentation Problems. ICPRAI (1) 2022: 223-235 - [c62]András Horváth:
Comparison of the Resilience of Convolutional and Cellular Neural Networks Against Adversarial Attacks. ISCAS 2022: 2348-2352 - [i15]Soma Kontár, András Horváth:
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems. CoRR abs/2205.10539 (2022) - [i14]Jalal Al-Afandi, Bálint Magyar, András Horváth:
Saliency Map Based Data Augmentation. CoRR abs/2205.14686 (2022) - 2021
- [j26]Jalal Al-Afandi, András Horváth:
Adaptive Gene Level Mutation. Algorithms 14(1): 16 (2021) - [c61]Jalal Al-Afandi, András Horváth:
Multi-instance Conditional Autoencoder a data driven compression model for strongly correlated datasets. BMSB 2021: 1-5 - [c60]Paolo Ballarini, András Horváth:
Performance Analysis of Production Lines Through Statistical Model Checking. EPEW 2021: 264-281 - [c59]Paolo Ballarini, András Horváth:
Formal analysis of production line systems by probabilistic model checking tools. ETFA 2021: 1-8 - [c58]András Fülöp, András Horváth:
Application of Cellular Neural Networks in Semantic Segmentation. ISCAS 2021: 1-5 - [c57]Dóra Babicz, Soma Kontár, Márk Peto, András Fülöp, Gergely Szabó, András Horváth:
Receptive Field Size Optimization with Continuous Time Pooling. WACV 2021: 1448-1457 - [i13]Gergely Szabó, András Horváth:
Mitigating the Bias of Centered Objects in Common Datasets. CoRR abs/2112.09195 (2021) - 2020
- [j25]Annabelle McIver, András Horváth:
Introduction to the Special Section on Quantitative Evaluation of Systems (QEST 2018). ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(1): 1:1 (2020) - [c56]Paolo Ballarini, Davide Duma, András Horváth, Roberto Aringhieri:
Petri Nets Validation of Markovian Models of Emergency Department Arrivals. Petri Nets 2020: 219-238 - [c55]Lorinc Garai, András Horváth:
Colour afterimages: computing and measuring virtual colour perception provided by two display types. CogInfoCom 2020: 109-114 - [c54]Lorinc Garai, András Horváth:
Measuring colour afterimage perception. CogInfoCom 2020: 191-196 - [c53]András Fülöp, András Horváth:
Template Optimization in Cellular Neural Networks Using Gradient Based Approaches. ECCTD 2020: 1-4 - [c52]András Horváth, Jalal Al-Afandi:
Filtered Batch Normalization. ICPR 2020: 6778-6785 - [c51]Kálmán Szentannai, Jalal Al-Afandi, András Horváth:
Preventing Neural Network Weight Stealing via Network Obfuscation. SAI (3) 2020: 1-11 - [i12]András Horváth:
Sorted Pooling in Convolutional Networks for One-shot Learning. CoRR abs/2007.10495 (2020) - [i11]András Horváth, Jalal Al-Afandi:
Filtered Batch Normalization. CoRR abs/2010.08251 (2020) - [i10]Dóra Babicz, Soma Kontár, Márk Peto, András Fülöp, Gergely Szabó, András Horváth:
Receptive Field Size Optimization with Continuous Time Pooling. CoRR abs/2011.00869 (2020)
2010 – 2019
- 2019
- [j24]Qiuwen Lou, Chenyun Pan, John McGuinness, András Horváth, Azad Naeemi, Michael T. Niemier, Xiaobo Sharon Hu:
A Mixed Signal Architecture for Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 15(2): 19:1-19:26 (2019) - [c50]Dóra Babicz, Attila Tihanyi, Miklós Koller, Csaba Rekeczky, András Horváth:
Simulation of an Analogue Circuit Solving NP-Hard Optimization Problems. ISCAS 2019: 1-5 - [c49]Botos Csaba, Hakkel Tamás, András Horváth, András Oláh, István Z. Reguly:
PPCU Sam: Open-source face recognition framework. KES 2019: 1947-1956 - [i9]Botos Csaba, Adnane Boukhayma, Viveka Kulharia, András Horváth, Philip H. S. Torr:
Domain Partitioning Network. CoRR abs/1902.08134 (2019) - [i8]Qiuwen Lou, Indranil Palit, Li Tang, András Horváth, Michael T. Niemier, Xiaobo Sharon Hu:
Application-level Studies of Cellular Neural Network-based Hardware Accelerators. CoRR abs/1903.06649 (2019) - [i7]Kálmán Szentannai, Jalal Al-Afandi, András Horváth:
MimosaNet: An Unrobust Neural Network Preventing Model Stealing. CoRR abs/1907.01650 (2019) - 2018
- [c48]Lorinc Garai, András Horváth:
Modelling of human color perception depending on quick color shifts on screen. CogInfoCom 2018: 223-226 - [e4]Annabelle McIver, András Horváth:
Quantitative Evaluation of Systems - 15th International Conference, QEST 2018, Beijing, China, September 4-7, 2018, Proceedings. Lecture Notes in Computer Science 11024, Springer 2018, ISBN 978-3-319-99153-5 [contents] - [i6]Qiuwen Lou, Chenyun Pan, John McGuinness, András Horváth, Azad Naeemi, Michael T. Niemier, Xiaobo Sharon Hu:
A mixed signal architecture for convolutional neural networks. CoRR abs/1811.02636 (2018) - 2017
- [j23]András Horváth, Gábor Dömötör:
Computer model for font legibility measurement. Intell. Decis. Technol. 11(3): 335-344 (2017) - [c47]András Horváth, Michael Hillmer, Qiuwen Lou, Xiaobo Sharon Hu, Michael T. Niemier:
Cellular neural network friendly convolutional neural networks - CNNs with CNNs. DATE 2017: 145-150 - [c46]Paolo Ballarini, Marco Beccuti, Enrico Bibbona, András Horváth, Roberta Sirovich, Jeremy Sproston:
Analysis of Timed Properties Using the Jump-Diffusion Approximation. EPEW 2017: 69-84 - 2016
- [j22]Alessio Angius, András Horváth, Sami M. Halawani, Omar M. Ba-Rukab, Ab Rahman Ahmad, Gianfranco Balbo:
Exploiting flow equivalent server in transient analysis. Comput. Syst. Sci. Eng. 31(4) (2016) - [j21]Marco Paolieri, András Horváth, Enrico Vicario:
Probabilistic Model Checking of Regenerative Concurrent Systems. IEEE Trans. Software Eng. 42(2): 153-169 (2016) - 2015
- [j20]Alessio Angius, Gianfranco Balbo, Marco Beccuti, Enrico Bibbona, András Horváth, Roberta Sirovich:
Approximate analysis of biological systems by hybrid switching jump diffusion. Theor. Comput. Sci. 587: 49-72 (2015) - [c45]Alessio Angius, András Horváth, Sami M. Halawani, Omar M. Ba-Rukab, Ab Rahman Ahmad, Gianfranco Balbo:
Use of Flow Equivalent Servers in the Transient Analysis of Product Form Queuing Networks. ASMTA 2015: 15-29 - [c44]Qiuwen Lou, Indranil Palit, András Horváth, Xiaobo Sharon Hu, Michael T. Niemier, Joseph Nahas:
TFET-based Operational Transconductance Amplifier Design for CNN Systems. ACM Great Lakes Symposium on VLSI 2015: 277-282 - 2014
- [j19]Alessio Angius, András Horváth, Marcello Colledani:
Moments of accumulated reward and completion time in Markovian models with application to unreliable manufacturing systems. Perform. Evaluation 75: 69-88 (2014) - [c43]Marco Beccuti, Enrico Bibbona, András Horváth, Roberta Sirovich, Alessio Angius, Gianfranco Balbo:
Analysis of Petri Net Models through Stochastic Differential Equations. Petri Nets 2014: 273-293 - [c42]Indranil Palit, Behnam Sedighi, András Horváth, Xiaobo Sharon Hu, Joseph Nahas, Michael T. Niemier:
Impact of steep-slope transistors on non-von Neumann architectures: CNN case study. DATE 2014: 1-6 - [c41]Marcello Colledani, Alessio Angius, András Horváth:
Lead time distribution in unreliable production lines processing perishable products. ETFA 2014: 1-8 - [c40]András Horváth, Xiaobo Sharon Hu, Joseph Nahas, Michael T. Niemier, Indranil Palit, Robert Perricone, Behnam Sedighi:
Architectural impacts of emerging transistors. NEWCAS 2014: 69-72 - [c39]András Horváth, Alessio Angius:
Approximate Transient Analysis of Queuing Networks by Decomposition based on Time-Inhomogeneous Markov Arrival Processes. VALUETOOLS 2014 - [e3]András Horváth, Katinka Wolter:
Computer Performance Engineering - 11th European Workshop, EPEW 2014, Florence, Italy, September 11-12, 2014. Proceedings. Lecture Notes in Computer Science 8721, Springer 2014, ISBN 978-3-319-10884-1 [contents] - [i5]Marco Beccuti, Enrico Bibbona, András Horváth, Roberta Sirovich, Alessio Angius, Gianfranco Balbo:
Analysis of Petri Net Models through Stochastic Differential Equations. CoRR abs/1404.0975 (2014) - [i4]Alessio Angius, Gianfranco Balbo, Marco Beccuti, Enrico Bibbona, András Horváth, Roberta Sirovich:
Approximate analysis of biological systems by hybrid switching jump diffusion. CoRR abs/1406.1352 (2014) - 2013
- [j18]Anna Gelencsér-Horváth, Gábor Tornai, András Horváth, György Cserey:
Fast, parallel implementation of particle filtering on the GPU architecture. EURASIP J. Adv. Signal Process. 2013: 148 (2013) - [j17]András Horváth, Miklós Rásonyi:
Topographic implementation of particle filters on cellular processor arrays. Signal Process. 93(7): 1853-1863 (2013) - [c38]Alessio Angius, András Horváth, Verena Wolf:
Approximate Transient Analysis of Queuing Networks by Quasi Product Forms. ASMTA 2013: 22-36 - [c37]Fernando Corinto, András Horváth, Tamás Roska:
Architectures for nanoscale hybrid computing systems. ECCTD 2013: 1-4 - [c36]Miklós Koller, András Horváth, Tamás Roska:
Frameless computing for spatial-temporal events. ECCTD 2013: 1-4 - [c35]Paolo Ballarini, Nathalie Bertrand, András Horváth, Marco Paolieri, Enrico Vicario:
Transient Analysis of Networks of Stochastic Timed Automata Using Stochastic State Classes. QEST 2013: 355-371 - [e2]András Horváth, Peter Buchholz, Vittorio Cortellessa, Luca Muscariello, Mark S. Squillante:
7th International Conference on Performance Evaluation Methodologies and Tools, ValueTools '13, Torino, Italy, December 10-12, 2013. ICST/ACM 2013, ISBN 978-1-936968-48-0 [contents] - 2012
- [b1]András Horváth:
Solving Non-Topographic Problems with Topographic and Synchronization Algorithms and Architectures. Pázmány Péter Catholic University, Hungary, 2012 - [j16]András Horváth, Miklós Rásonyi:
Implementation of cellular genetic algorithms on a CNN chip: Simulations and experimental results. Int. J. Circuit Theory Appl. 40(12): 1321-1332 (2012) - [j15]András Horváth, Marco Paolieri, Lorenzo Ridi, Enrico Vicario:
Transient analysis of non-Markovian models using stochastic state classes. Perform. Evaluation 69(7-8): 315-335 (2012) - [j14]Alessio Angius, András Horváth, Verena Wolf:
Quasi Product Form Approximation for Markov Models of Reaction Networks. Trans. Comp. Sys. Biology 14: 26-52 (2012) - [c34]András Horváth, Miklós F. Hatwágner, István Á. Harmati:
Searching for a nonlinear ODE model of vehicle crash with genetic optimization. SACI 2012: 131-136 - 2011
- [j13]Florin Avram, D. F. Chedom, András Horváth:
On moments based Padé approximations of ruin probabilities. J. Comput. Appl. Math. 235(10): 3215-3228 (2011) - [j12]Francesca Cordero, András Horváth, Daniele Manini, Lucia Napione, Massimiliano De Pierro, Simona Pavan, Andrea Picco, Andrea Veglio, Matteo Sereno, Federico Bussolino, Gianfranco Balbo:
Simplification of a complex signal transduction model using invariants and flow equivalent servers. Theor. Comput. Sci. 412(43): 6036-6057 (2011) - [c33]Alessio Angius, András Horváth:
Analysis of stochastic reaction networks with Markov reward models. CMSB 2011: 45-54 - [c32]András Horváth, Marco Paolieri, Lorenzo Ridi, Enrico Vicario:
Probabilistic Model Checking of Non-Markovian Models with Concurrent Generally Distributed Timers. QEST 2011: 131-140 - [c31]Marco Beccuti, Massimiliano De Pierro, András Horváth, Ádám Horváth, Károly Farkas:
A Mean Field Based Methodology for Modeling Mobility in Ad Hoc Networks. VTC Spring 2011: 1-5 - [c30]Alessio Angius, András Horváth:
Product Form Approximation of Transient Probabilities in Stochastic Reaction Networks. CS2Bio@DisCoTec 2011: 3-14 - [c29]Alessio Angius, András Horváth:
The Monte Carlo EM method for the parameter estimation of biological models. PASM@ICPE 2011: 23-36 - 2010
- [j11]András Horváth, Gábor Horváth, Miklós Telek:
A joint moments based analysis of networks of MAP/MAP/1 queues. Perform. Evaluation 67(9): 759-778 (2010) - [c28]Alessio Angius, Gianfranco Balbo, Francesca Cordero, András Horváth, Daniele Manini:
Comparison of Approximate Kinetics for Unireactant Enzymes: Michaelis-Menten against the Equivalent Server. ACSD/Petri Nets Workshops 2010: 55-69 - [c27]András Horváth, Lorenzo Ridi, Enrico Vicario:
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes. QEST 2010: 231-240
2000 – 2009
- 2009
- [j10]András Horváth, Gábor Horváth, Miklós Telek:
A traffic based decomposition of two-class queueing networks with priority service. Comput. Networks 53(8): 1235-1248 (2009) - [c26]András Horváth, Sándor Rácz, Miklós Telek:
Moments Characterization of Order 3 Matrix Exponential Distributions. ASMTA 2009: 174-188 - [c25]Lucia Napione, Daniele Manini, Francesca Cordero, András Horváth, Andrea Picco, Massimiliano De Pierro, Simona Pavan, Matteo Sereno, Andrea Veglio, Federico Bussolino, Gianfranco Balbo:
On the Use of Stochastic Petri Nets in the Analysis of Signal Transduction Pathways for Angiogenesis Process. CMSB 2009: 281-295 - [c24]András Horváth, Enrico Vicario:
Aggregated Stochastic State Classes in Quantitative Evaluation of non-Markovian Stochastic Petri Nets. QEST 2009: 155-164 - [c23]Paolo Ballarini, András Horváth:
Memory efficient analysis for a class of large structured Markov chains: work in progress. VALUETOOLS 2009: 21 - 2008
- [j9]Levente Bodrog, András Horváth, Miklós Telek:
Moment characterization of matrix exponential and Markovian arrival processes. Ann. Oper. Res. 160(1): 51-68 (2008) - [c22]András Horváth, Daniele Manini:
Parameter Estimation of Kinetic Rates in Stochastic Reaction Networks by the EM Method. BMEI (1) 2008: 713-717 - [c21]Matteo Baldoni, Cristina Baroglio, András Horváth, Viviana Patti, Flavio Portis, Maurizio Avilia, Pierluigi Grillo:
Folksonomies meet ontologies in ARSMETEO: from social descriptions of artifacts to emotional concepts. FOMI 2008: 132-143 - [c20]Andrea Bobbio, Sachin Garg, Marco Gribaudo, András Horváth, Matteo Sereno, Miklós Telek:
Compositional fluid stochastic Petri net model for operational software system performance. ISSRE Workshops 2008: 1-6 - [c19]András Horváth, Gábor Horváth, Miklós Telek:
A Joint Moments Based Analysis of Networks of MAP/MAP/1 Queues. QEST 2008: 125-134 - [c18]Paolo Ballarini, András Horváth:
Memory Efficient Calculation of Path Probabilities in Large Structured Markov Chains. QEST 2008: 157-166 - 2007
- [c17]András Horváth, Miklós Telek:
On the properties of acyclic bilateral phase type distributions. VALUETOOLS 2007: 79 - [c16]Paolo Ballarini, András Horváth:
Compositional Model Checking of product-form CTMCs. AVoCS 2007: 21-37 - [i3]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 - [i2]Levente Bodrog, András Horváth, Miklós Telek:
On the Properties of Moments of Matrix Exponential Distributions and Matrix Exponential Processes. Numerical Methods for Structured Markov Chains 2007 - 2006
- [c15]Andrea Bobbio, Marco Gribaudo, András Horváth:
Modelling a car safety controller in road tunnels using hybrid petri nets. ITSC 2006: 1436-1441 - [c14]Davide Cerotti, Susanna Donatelli, András Horváth, Jeremy Sproston:
CSL Model Checking for Generalized Stochastic Petri Nets. QEST 2006: 199-210 - [e1]András Horváth, Miklós Telek:
Formal Methods and Stochastic Models for Performance Evaluation, Third European Performance Engineering Workshop, EPEW 2006, Budapest, Hungary, June 21-22, 2006, Proceedings. Lecture Notes in Computer Science 4054, Springer 2006, ISBN 3-540-35362-3 [contents] - 2005
- [c13]András Horváth:
Steady State Solution for Models with Geometric and Finite Support Activity Duration. QEST 2005: 114-123 - 2004
- [j8]Andrea Bobbio, András Horváth, Miklós Telek:
The scale factor: a new degree of freedom in phase-type approximation. Perform. Evaluation 56(1-4): 121-144 (2004) - [c12]Marco Gribaudo, András Horváth:
Model Checking Functional and Performability Properties of Stochastic Fluid Models. AVoCS 2004: 295-310 - 2003
- [j7]Andrea Bobbio, András Horváth, Marco Scarpa, Miklós Telek:
Acyclic discrete phase type distributions: properties and a parameter estimation algorithm. Perform. Evaluation 54(1): 1-32 (2003) - [j6]Marco Gribaudo, András Horváth, Andrea Bobbio, Enrico Tronci, Ester Ciancamerla, Michele Minichino:
Fluid Petri Nets and hybrid model-checking: a comparative case study. Reliab. Eng. Syst. Saf. 81(3): 239-257 (2003) - [c11]Marco Gribaudo, András Horváth:
Modeling Hybrid Positive Systems with Hybrid Petri Nets. POSTA 2003: 71-78 - [i1]András Horváth, Emanuele Leonardi, Markus W. Schulz:
A Secure Infrastructure For System Console and Reset Access. CoRR cs.DC/0305061 (2003) - 2002
- [j5]András Horváth, Miklós Telek:
Time Domain Analysis of Non-Markovian Stochastic Petri Nets with PRI Transitions. IEEE Trans. Software Eng. 28(10): 933-943 (2002) - [j4]Marco Gribaudo, András Horváth:
Fluid Stochastic Petri Nets Augmented with Flush-Out Arcs: A Transient Analysis Technique. IEEE Trans. Software Eng. 28(10): 944-955 (2002) - [c10]András Horváth, Miklós Telek:
PhFit: A General Phase-Type Fitting Tool. Computer Performance Evaluation / TOOLS 2002: 82-91 - [c9]Andrea Bobbio, András Horváth, Miklós Telek:
PhFit: A General Phase-type Fitting Tool. DSN 2002: 543 - [c8]Andrea Bobbio, András Horváth, Miklós Telek:
The Scale Factor: A New Degree of Freedom in Phase Type Approximation. DSN 2002: 627-636 - [c7]András Horváth, Miklós Telek:
Markovian Modeling of Real Data Traffic: Heuristic Phase Type and MAP Fitting of Heavy Tailed and Fractal Like Samples. Performance 2002: 405-434 - [c6]Marco Gribaudo, András Horváth, Andrea Bobbio, Enrico Tronci, Ester Ciancamerla, Michele Minichino:
Model-Checking Based on Fluid Petri Nets for the Temperature Control System of the ICARO Co-generative Plant. SAFECOMP 2002: 273-283 - 2001
- [j3]Marco Gribaudo, Matteo Sereno, András Horváth, Andrea Bobbio:
Fluid Stochastic Petri Nets Augmented with Flush-out Arcs: Modelling and Analysis. Discret. Event Dyn. Syst. 11(1-2): 97-117 (2001) - [j2]Miklós Telek, András Horváth:
Transient analysis of Age-MRSPNs by the method of supplementary variables. Perform. Evaluation 45(4): 205-221 (2001) - [j1]Simona Bernardi, Susanna Donatelli, András Horváth:
Implementing compositionality for stochastic Petri nets. Int. J. Softw. Tools Technol. Transf. 3(4): 417-430 (2001) - [c5]Marco Gribaudo, András Horváth:
Fluid Stochastic Petri Nets Augmented with Flush-out Arcs: Numerical Solution Techniques. PNPM 2001: 145-154 - [c4]András Horváth, Miklós Telek:
Time Domain Analysis of NMSPNs with Preemptive Repeat Identical Type Transitions. PNPM 2001: 155-164 - [c3]Andrea Bobbio, András Horváth:
Petri Nets with Discrete Phase Type Timing: A Bridge Between Stochastic and Functional Analysis. MTCS 2001: 209-226 - 2000
- [c2]András Horváth, Antonio Puliafito, Marco Scarpa, Miklós Telek:
Analysis and Evaluation of Non-Markovian Stochastic Petri Nets. Computer Performance Evaluation / TOOLS 2000: 171-187
1990 – 1999
- 1999
- [c1]Andrea Bobbio, Sachin Garg, Marco Gribaudo, András Horváth, Matteo Sereno, Miklós Telek:
Modeling software systems with rejuvenation, restoration and checkpointing through fluid stochastic Petri nets. PNPM 1999: 82-91
Coauthor Index
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