LDA for Face Profile Detection. - Krzysztof Rusek; Tomasz Orzechowski; Andrzej Dziech (MCSS, 2011)

Correct router interface modeling. - Krzysztof Rusek; Lucjan Janowski; Zdzislaw Papir (ICPE, 2011)

Correct router interface modeling (abstracts only). - Krzysztof Rusek; Lucjan Janowski; Zdzislaw Papir (SIGMETRICS Perform. Evaluation Rev., 2011)

A Modular Metadata Extraction System for Born-Digital Articles. - Dominika Tkaczyk; Lukasz Bolikowski; Artur Czeczko; Krzysztof Rusek (Document Analysis Systems, 2012)

On stability of virtual topologies in dynamic multilayer networks. - Jacek Rzasa; Artur Lason; Krzysztof Rusek; Andrzej Szymanski; Andrzej Jajszczyk (HPSR, 2012)

GROTOAP: ground truth for open access publications. - Dominika Tkaczyk; Artur Czeczko; Krzysztof Rusek; Lukasz Bolikowski; Roman Bogacewicz (JCDL, 2012)

MAP/SM/1/b model of a store and forward router interface. - Krzysztof Rusek; Zdzislaw Papir; Lucjan Janowski (SPECTS, 2012)

Heavy Ion Laboratory of the University of Warsaw. - Krzysztof Rusek; Kirby Kemper (Scholarpedia, 2012)

Neural Network Regression of Eyes Location in Face Images. - Krzysztof Rusek; Piotr Guzik (MCSS, 2013)

Efficient Modelling of Traffic and Quality of Scalable Video Coding (SVC) Encoded Streams. - Piotr Wydrych; Krzysztof Rusek; Piotr Cholda (IEEE Commun. Lett., 2013)

Transient and stationary characteristics of a packet buffer modelled as an MAP/SM/1/b system. - Krzysztof Rusek; Lucjan Janowski; Zdzislaw Papir (Int. J. Appl. Math. Comput. Sci., 2014)

Book reviews [2 books reviewed]. - Miralem Mehic; Krzysztof Rusek (IEEE Commun. Mag., 2014)

Upper Bound for Failure Risk in Networks. - Piotr Cholda; Krzysztof Rusek; Piotr Guzik (Electron. Notes Discret. Math., 2016)

Effective Risk Assessment in Resilient Communication Networks. - Krzysztof Rusek; Piotr Guzik; Piotr Cholda (J. Netw. Syst. Manag., 2016)

Two-stage neural network regression of eye location in face images. - Krzysztof Rusek; Piotr Guzik (Multim. Tools Appl., 2016)

Application of Logistic Regression for Background Substitution. - Michal Grega; Pawel Donath; Piotr Guzik; Jakub Król; Andrzej Matiolanski; Krzysztof Rusek; Andrzej Dziech (MCSS, 2017)

Book Reviews. - Krzysztof Rusek (IEEE Commun. Mag., 2018)

Towards more realistic network models based on Graph Neural Networks. - Arnau Badia-Sampera; José Suárez-Varela; Paul Almasan; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoNEXT Companion, 2019)

Challenging the generalization capabilities of Graph Neural Networks for network modeling. - José Suárez-Varela; Sergi Carol-Bosch; Krzysztof Rusek; Paul Almasan; Marta Arias; Pere Barlet-Ros; Albert Cabellos-Aparicio (SIGCOMM Posters and Demos, 2019)

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. - Krzysztof Rusek; José Suárez-Varela; Albert Mestres; Pere Barlet-Ros; Albert Cabellos-Aparicio (SOSR, 2019)

Notation for Subject Answer Analysis. - Lucjan Janowski; Jakub Nawala; Werner Robitza; Zhi Li 001; Lukás Krasula; Krzysztof Rusek (CoRR, 2019)

Generalized Score Distribution. - Lucjan Janowski; Bogdan Cmiel; Krzysztof Rusek; Jakub Nawala; Zhi Li 001 (CoRR, 2019)

Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. - Paul Almasan; José Suárez-Varela; Arnau Badia-Sampera; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2019)

Message-Passing Neural Networks Learn Little's Law. - Krzysztof Rusek; Piotr Cholda (IEEE Commun. Lett., 2019)

Dangerous Tool Detection for CCTV Systems. - Pawel Donath; Michal Grega; Piotr Guzik; Jakub Król; Andrzej Matiolanski; Krzysztof Rusek (MCSS, 2020)

Describing Subjective Experiment Consistency by p-Value P-P Plot. - Jakub Nawala; Lucjan Janowski; Bogdan Cmiel; Krzysztof Rusek (ACM Multimedia, 2020)

RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. - Krzysztof Rusek; José Suárez-Varela; Paul Almasan; Pere Barlet-Ros; Albert Cabellos-Aparicio (IEEE J. Sel. Areas Commun., 2020)

Reproducibility Companion Paper: Describing Subjective Experiment Consistency by p-Value P-P Plot. - Jakub Nawala; Lucjan Janowski; Bogdan Cmiel; Krzysztof Rusek; Marc A. Kastner 001; Jan Zahálka (ACM Multimedia, 2021)

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. - José Suárez-Varela; Miquel Ferriol Galmés; Albert López; Paul Almasan; Guillermo Bernárdez; David Pujol-Perich; Krzysztof Rusek; Loïck Bonniot; Christoph Neumann 001; François Schnitzler; François Taïani; Martin Happ; et al. (Comput. Commun. Rev., 2021)

Scaling Graph-based Deep Learning models to larger networks. - Miquel Ferriol Galmés; José Suárez-Varela; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2021)

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. - Krzysztof Rusek; Paul Almasan; José Suárez-Varela; Piotr Cholda; Pere Barlet-Ros; Albert Cabellos-Aparicio (CNSM, 2022)

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. - Miquel Ferriol Galmés; Krzysztof Rusek; José Suárez-Varela; Shihan Xiao; Xiang Shi; Xiangle Cheng; Bo Wu; Pere Barlet-Ros; Albert Cabellos-Aparicio (INFOCOM, 2022)

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. - Paul Almasan; José Suárez-Varela; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Commun., 2022)

Fine-grained network traffic prediction from coarse data. - Krzysztof Rusek; Mathias Drton (CoRR, 2022)

Generalised Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses from Quality of Experience Subjective Experiments. - Jakub Nawala; Lucjan Janowski; Bogdan Cmiel; Krzysztof Rusek; Pablo Pérez 001 (CoRR, 2022)

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. - Miquel Ferriol Galmés; Krzysztof Rusek; José Suárez-Varela; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2022)

Generalised Score Distribution: Underdispersed Continuation of the Beta-Binomial Distribution. - Bogdan Cmiel; Jakub Nawala; Lucjan Janowski; Krzysztof Rusek (CoRR, 2022)

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. - Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros (GNNet@CoNEXT, 2023)

FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks. - Wojciech Ciezobka; Maksymilian Wojnar; Katarzyna Kosek-Szott; Szymon Szott; Krzysztof Rusek (WoWMoM, 2023)

A tutorial on reinforcement learning in selected aspects of communications and networking. - Piotr Borylo; Edyta Biernacka; Jerzy Domzal; Bartosz Kadziolka; Miroslaw Kantor; Krzysztof Rusek; Maciej Skala; Krzysztof Wajda; Robert Wójcik; Wojciech Zabek (Comput. Commun., 2023)

Leveraging Spatial and Temporal Correlations for Network Traffic Compression. - Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros (CoRR, 2023)

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. - 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 (IEEE Netw., 2023)

Generalized Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses From Quality of Experience Subjective Experiments. - Jakub Nawala; Lucjan Janowski; Bogdan Cmiel; Krzysztof Rusek; Pablo Pérez 001 (IEEE Trans. Multim., 2023)

Bayesian inference of spatial and temporal relations in AI patents for EU countries. - Krzysztof Rusek; Agnieszka Kleszcz; Albert Cabellos-Aparicio (Scientometrics, 2023)

RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. - Krzysztof Rusek; Piotr Borylo; Piotr Jaglarz; Fabien Geyer; Albert Cabellos; Piotr Cholda (J. Netw. Syst. Manag., 2023)

RouteNet-Fermi: Network Modeling With Graph Neural Networks. - Miquel Ferriol Galmés; Jordi Paillisse; José Suárez-Varela; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (IEEE/ACM Trans. Netw., 2023)

Neural Networks in Selected Aspects of Communications and Networking. - Piotr Borylo; Edyta Biernacka; Jerzy Domzal; Bartosz Kadziolka; Miroslaw Kantor; Krzysztof Rusek; Maciej Skala; Krzysztof Wajda; Robert Wójcik; Wojciech Zabek (IEEE Access, 2024)

Using ranging for collision-immune IEEE 802.11 rate selection with statistical learning. - Wojciech Ciezobka; Maksymilian Wojnar; Krzysztof Rusek; Katarzyna Kosek-Szott; Szymon Szott; Anatolij Zubow; Falko Dressler (Comput. Commun., 2024)

Reinforced-lib: Rapid prototyping of reinforcement learning solutions. - Maksymilian Wojnar; Szymon Szott; Krzysztof Rusek; Wojciech Ciezobka (SoftwareX, 2024)

Maximum Entropy and Quantized Metric Models for Absolute Category Ratings. - Dietmar Saupe; Krzysztof Rusek; David Hägele; Daniel Weiskopf; Lucjan Janowski (IEEE Signal Process. Lett., 2024)

IEEE 802.11bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits. - Maksymilian Wojnar; Wojciech Ciezobka; Katarzyna Kosek-Szott; Krzysztof Rusek; Szymon Szott; David Nunez 003; Boris Bellalta (Zenodo, 2024)

Toward Specialized Wireless Networks Using an ML-Driven Radio Interface. - Kamil Szczech; Maksymilian Wojnar; Katarzyna Kosek-Szott; Krzysztof Rusek; Szymon Szott; Dileepa Marasinghe; Nandana Rajatheva; Richard Combes; Francesc Wilhelmi; Anders Jonsson 001; Boris Bellalta (IEEE Access, 2025)

Towards Specialized Wireless Networks Using an ML-Driven Radio Interface. - Kamil Szczech; Maksymilian Wojnar; Katarzyna Kosek-Szott; Krzysztof Rusek; Szymon Szott; Dileepa Marasinghe; Nandana Rajatheva; Richard Combes; Francesc Wilhelmi; Anders Jonsson 001; Boris Bellalta (CoRR, 2025)

IEEE 802.11bn Multi-AP Coordinated Spatial Reuse With Hierarchical Multi-Armed Bandits. - Maksymilian Wojnar; Wojciech Ciezobka; Katarzyna Kosek-Szott; Krzysztof Rusek; Szymon Szott; David Nunez 003; Boris Bellalta (IEEE Commun. Lett., 2025)

Coordinated Spatial Reuse Scheduling With Machine Learning in IEEE 802.11 MAPC Networks. - Maksymilian Wojnar; Wojciech Ciezobka; Artur Tomaszewski; Piotr Cholda; Krzysztof Rusek; Katarzyna Kosek-Szott; Jetmir Haxhibeqiri; Jeroen Hoebeke; Boris Bellalta; Anatolij Zubow; Falko Dressler; Szymon Szott (CoRR, 2025)