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Krzysztof Rusek
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2020 – today
- 2024
- [j23]Piotr Borylo
, Edyta Biernacka
Neural Networks in Selected Aspects of Communications and Networking. IEEE Access 12: 132856-132890 (2024) - [j22]Wojciech Ciezobka
Using ranging for collision-immune IEEE 802.11 rate selection with statistical learning. Comput. Commun. 225: 10-26 (2024) - [j21]Maksymilian Wojnar
Reinforced-lib: Rapid prototyping of reinforcement learning solutions. SoftwareX 26: 101706 (2024) - [j20]Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski:
Maximum Entropy and Quantized Metric Models for Absolute Category Ratings. IEEE Signal Process. Lett. 31: 2970-2974 (2024) - [i22]Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski:
Maximum entropy and quantized metric models for absolute category ratings. CoRR abs/2410.00817 (2024) - 2023
- [j19]Piotr Borylo
A tutorial on reinforcement learning in selected aspects of communications and networking. Comput. Commun. 208: 89-110 (2023) - [j18]Krzysztof Rusek
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. J. Netw. Syst. Manag. 31(3): 64 (2023) - [j17]José Suárez-Varela, Paul Almasan
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37(3): 146-153 (2023) - [j16]Krzysztof Rusek
Bayesian inference of spatial and temporal relations in AI patents for EU countries. Scientometrics 128(6): 3313-3335 (2023) - [j15]Jakub Nawala
Generalized Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses From Quality of Experience Subjective Experiments. IEEE Trans. Multim. 25: 6090-6104 (2023) - [j14]Miquel Ferriol Galmés
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31(6): 3080-3095 (2023) - [c18]Paul Almasan
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT 2023: 1-6 - [c17]Wojciech Ciezobka, Maksymilian Wojnar
FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks. WoWMoM 2023: 242-251 - [i21]Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Leveraging Spatial and Temporal Correlations for Network Traffic Compression. CoRR abs/2301.08962 (2023) - [i20]Wojciech Ciezobka, Maksymilian Wojnar, Katarzyna Kosek-Szott, Szymon Szott, Krzysztof Rusek:
FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks. CoRR abs/2304.10140 (2023) - [i19]Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. CoRR abs/2311.05337 (2023) - 2022
- [j13]Paul Almasan
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Comput. Commun. 196: 184-194 (2022) - [c16]Krzysztof Rusek
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CNSM 2022: 359-363 - [c15]Miquel Ferriol Galmés
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM 2022: 2018-2027 - [i18]Krzysztof Rusek, Mathias Drton:
Fine-grained network traffic prediction from coarse data. CoRR abs/2201.07179 (2022) - [i17]Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda:
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. CoRR abs/2201.12263 (2022) - [i16]Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Pablo Pérez:
Generalised Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses from Quality of Experience Subjective Experiments. CoRR abs/2202.02177 (2022) - [i15]Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR abs/2202.13956 (2022) - [i14]Bogdan Cmiel, Jakub Nawala, Lucjan Janowski, Krzysztof Rusek:
Generalised Score Distribution: Underdispersed Continuation of the Beta-Binomial Distribution. CoRR abs/2204.10565 (2022) - [i13]Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Marc A. Kastner, Jan Zahálka:
Reproducibility Companion Paper: Describing Subjective Experiment Consistency by $p$-Value P-P Plot. CoRR abs/2209.00526 (2022) - [i12]Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CoRR abs/2209.10380 (2022) - [i11]Miquel Ferriol Galmés
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR abs/2212.12070 (2022) - 2021
- [j12]José Suárez-Varela
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51(3): 9-16 (2021) - [c14]Jakub Nawala
Reproducibility Companion Paper: Describing Subjective Experiment Consistency by p-Value P-P Plot. ACM Multimedia 2021: 3627-3629 - [i10]José Suárez-Varela, Miquel Ferriol Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR abs/2107.12433 (2021) - [i9]Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Scaling Graph-based Deep Learning models to larger networks. CoRR abs/2110.01261 (2021) - [i8]José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR abs/2112.14792 (2021) - 2020
- [j11]Krzysztof Rusek
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. IEEE J. Sel. Areas Commun. 38(10): 2260-2270 (2020) - [c13]Pawel Donath, Michal Grega
Dangerous Tool Detection for CCTV Systems. MCSS 2020: 238-251 - [c12]Jakub Nawala
Describing Subjective Experiment Consistency by p-Value P-P Plot. ACM Multimedia 2020: 852-861 - [i7]Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek:
Describing Subjective Experiment Consistency by p-Value P-P Plot. CoRR abs/2009.13372 (2020)
2010 – 2019
- 2019
- [j10]Krzysztof Rusek
Message-Passing Neural Networks Learn Little's Law. IEEE Commun. Lett. 23(2): 274-277 (2019) - [c11]Arnau Badia-Sampera, José Suárez-Varela
Towards more realistic network models based on Graph Neural Networks. CoNEXT Companion 2019: 14-16 - [c10]José Suárez-Varela
Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos 2019: 114-115 - [c9]Krzysztof Rusek
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. SOSR 2019: 140-151 - [i6]Krzysztof Rusek, Piotr Cholda:
Message-Passing Neural Networks Learn Little's Law. CoRR abs/1901.05748 (2019) - [i5]Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. CoRR abs/1901.08113 (2019) - [i4]Lucjan Janowski, Jakub Nawala, Werner Robitza, Zhi Li, Lukás Krasula, Krzysztof Rusek:
Notation for Subject Answer Analysis. CoRR abs/1903.05940 (2019) - [i3]Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Jakub Nawala, Zhi Li:
Generalized Score Distribution. CoRR abs/1909.04369 (2019) - [i2]Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. CoRR abs/1910.01508 (2019) - [i1]Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. CoRR abs/1910.07421 (2019) - 2018
- [j9]Krzysztof Rusek:
Book Reviews. IEEE Commun. Mag. 56(12): 11 (2018) - 2017
- [c8]Michal Grega, Pawel Donath, Piotr Guzik, Jakub Król, Andrzej Matiolanski
Application of Logistic Regression for Background Substitution. MCSS 2017: 33-46 - 2016
- [j8]Piotr Cholda
Upper Bound for Failure Risk in Networks. Electron. Notes Discret. Math. 51: 31-38 (2016) - [j7]Krzysztof Rusek
Effective Risk Assessment in Resilient Communication Networks. J. Netw. Syst. Manag. 24(2): 491-515 (2016) - [j6]Krzysztof Rusek
Two-stage neural network regression of eye location in face images. Multim. Tools Appl. 75(17): 10617-10630 (2016) - 2014
- [j5]Krzysztof Rusek
Transient and stationary characteristics of a packet buffer modelled as an MAP/SM/1/b system. Int. J. Appl. Math. Comput. Sci. 24(2): 429-442 (2014) - [j4]Miralem Mehic, Krzysztof Rusek:
Book reviews [2 books reviewed]. IEEE Commun. Mag. 52(8): 12-13 (2014) - 2013
- [j3]Piotr Wydrych, Krzysztof Rusek
Efficient Modelling of Traffic and Quality of Scalable Video Coding (SVC) Encoded Streams. IEEE Commun. Lett. 17(12): 2372-2375 (2013) - [c7]Krzysztof Rusek, Piotr Guzik
Neural Network Regression of Eyes Location in Face Images. MCSS 2013: 204-212 - 2012
- [j2]Krzysztof Rusek, Kirby Kemper:
Heavy Ion Laboratory of the University of Warsaw. Scholarpedia 7(7): 12378 (2012) - [c6]Dominika Tkaczyk
A Modular Metadata Extraction System for Born-Digital Articles. Document Analysis Systems 2012: 11-16 - [c5]Jacek Rzasa, Artur Lason, Krzysztof Rusek, Andrzej Szymanski, Andrzej Jajszczyk
On stability of virtual topologies in dynamic multilayer networks. HPSR 2012: 127-132 - [c4]Dominika Tkaczyk
GROTOAP: ground truth for open access publications. JCDL 2012: 381-382 - [c3]Krzysztof Rusek, Zdzislaw Papir, Lucjan Janowski:
MAP/SM/1/b model of a store and forward router interface. SPECTS 2012: 1-8 - 2011
- [j1]Krzysztof Rusek, Lucjan Janowski, Zdzislaw Papir:
Correct router interface modeling (abstracts only). SIGMETRICS Perform. Evaluation Rev. 39(3): 12 (2011) - [c2]Krzysztof Rusek, Tomasz Orzechowski, Andrzej Dziech:
LDA for Face Profile Detection. MCSS 2011: 144-148 - [c1]Krzysztof Rusek
Correct router interface modeling. ICPE 2011: 97-102
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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