Machine-Learning Based Prediction of Multiple Types of Network Traffic. - Aleksandra Knapinska; Piotr Lechowicz; Krzysztof Walkowiak (ICCS (1), 2021)

Prediction of Multiple Types of Traffic with a Novel Evaluation Metric Related to Bandwidth Blocking. - Aleksandra Knapinska; Piotr Lechowicz; Krzysztof Walkowiak (GLOBECOM, 2022)

Efficient Network Traffic Prediction After a Node Failure. - Róza Goscien; Aleksandra Knapinska (ONDM, 2022)

On Feature Selection in Short-Term Prediction of Backbone Optical Network Traffic. - Aleksandra Knapinska; Katarzyna Póltorak; Dominika Poreba; Jan Miszczyk; Mateusz Daniluk; Krzysztof Walkowiak (ONDM, 2022)

Delayed Squeezed Dedicated Path Protection in Spectrally-Spatially Flexible Optical Networks. - Piotr Lechowicz; Aleksandra Knapinska; Krzysztof Walkowiak (RNDM, 2022)

Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning. - Aleksandra Knapinska; Piotr Lechowicz; Weronika Wegier; Krzysztof Walkowiak (Appl. Soft Comput., 2022)

Agnostic Prediction of Multiple Types of Time-Varying Traffic in Optical Networks. - Aleksandra Knapinska; Piotr Lechowicz; Salvatore Spadaro; Krzysztof Walkowiak (GLOBECOM, 2023)

Performance Analysis of Multilayer Optical Networks with Time-Varying Traffic. - Aleksandra Knapinska; Piotr Lechowicz; Salvatore Spadaro; Krzysztof Walkowiak (ICTON, 2023)

Combining Random Forest and Linear Regression to Improve Network Traffic Prediction. - Blazej Ulanowicz; Dawid Dopart; Aleksandra Knapinska; Piotr Lechowicz; Krzysztof Walkowiak (ICTON, 2023)

On Advantages of Traffic Prediction and Grooming for Provisioning of Time-Varying Traffic in Multilayer Networks. - Aleksandra Knapinska; Piotr Lechowicz; Salvatore Spadaro; Krzysztof Walkowiak (ONDM, 2023)

Link load prediction in an optical network with restoration mechanisms. - Aleksandra Knapinska; Róza Goscien; Piotr Lechowicz; Krzysztof Walkowiak (J. Opt. Commun. Netw., 2023)

Impact of Time-Varying Traffic Type on the Performance of Multilayer Networks. - Aleksandra Knapinska; Piotr Lechowicz; Krzysztof Walkowiak (CNSM, 2024)

Impact of Geographical Constraints on the Performance of Intent-Based Networks. - Aleksandra Knapinska; Piotr Lechowicz; Krzysztof Walkowiak (ICTON, 2024)

Adaptive Provisioning of Time-Varying Traffic in Translucent SDM Elastic Optical Networks. - Adam Wlodarczyk; Aleksandra Knapinska; Piotr Lechowicz; Salvatore Spadaro; Krzysztof Walkowiak (ICTON, 2024)

XAI-Guided Optimization of a Multilayer Network Regression Model. - Katarzyna Duszynska; Pawel Polski; Michal Wlosek; Aleksandra Knapinska; Piotr Lechowicz; Krzysztof Walkowiak (IFIP Networking, 2024)

Machine Learning Assisted Provisioning of Time-Varying Traffic in Translucent Optical Networks. - Adam Wlodarczyk; Aleksandra Knapinska; Piotr Lechowicz; Krzysztof Walkowiak (IEEE Access, 2024)

Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures. - Omran Ayoub; Davide Andreoletti; Aleksandra Knapinska; Róza Goscien; Piotr Lechowicz; Tiziano Leidi; Silvia Giordano; Cristina Rottondi; Krzysztof Walkowiak (CoRR, 2024)

Demonstration of a Networked Music Performance Experience with MEVO. - Leonardo Severi; Matteo Sacchetto; Andrea Bianco; Cristina Rottondi; Aleksandra Knapinska; Piotr Lechowicz (CoRR, 2024)

PRODIGY+: a robust progressive upgrade approach for elastic optical networks. - Shrinivas Petale; Aleksandra Knapinska; Egemen Erbayat; Piotr Lechowicz; Krzysztof Walkowiak; Shih-Chun Lin 002; Motoharu Matsuura; Hiroshi Hasegawa; Suresh Subramaniam 001 (J. Opt. Commun. Netw., 2024)

Traffic weaver: Semi-synthetic time-varying traffic generator based on averaged time series. - Piotr Lechowicz; Aleksandra Knapinska; Adam Wlodarczyk; Krzysztof Walkowiak (SoftwareX, 2024)

Dynamic ML Model Updating Strategies for Detection of Evolving Network Attacks. - Aleksandra Knapinska; Marija Furdek (RNDM, 2025)