Tomasz Rybotycki

According to our database, Tomasz Rybotycki authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

On the importance of fundamental properties in quantum-classical machine learning models.

Silvie Illésová, Tomasz Rybotycki, Piotr Gawron, Martin Beseda

Int. J. Parallel Emergent Distributed Syst., May, 2026

Auto Quantum Machine Learning for Multisource Classification.

Tomasz Rybotycki, Sebastian Dziura, Piotr Gawron

CoRR, February, 2026

2025

On the status of current quantum machine learning software.

Manish K. Gupta, Tomasz Rybotycki, Piotr Gawron

CoRR, March, 2025

Piquasso: A Photonic Quantum Computer Simulation Software Platform.

Zoltán Kolarovszki, Tomasz Rybotycki, Péter Rakyta, Ágoston Kaposi, Boldizsár Poór, Szabolcs Jóczik, Dániel T. R. Nagy, Henrik Varga, Kareem H. El-Safty, Gregory Morse, Michal Oszmaniec, Tamás Kozsik, Zoltán Zimborás

Quantum, 2025

Efficient discrimination between real and complex quantum theories.

Josep Batle, Tomasz Bialecki, Tomasz Rybotycki, Jakub Tworzydlo, Adam Bednorz

Quantum, 2025

Aqmlator - an Auto Quantummachine Learning E-Platform.

Tomasz Rybotycki

Comput. Sci., 2025

QMetric: Benchmarking Quantum Neural Networks Across Circuits, Features, and Training Dimensions.

Silvie Illésová, Tomasz Rybotycki, Martin Beseda

Proceedings of the QualITA 2025: The Fourth Conference on System and Service Quality co-located with 39th International Conference on Modelling and Simulation (ECMS 2025), 2025

Hyperspectral Image Segmentation with a Machine Learning Model Trained Using Quantum Annealer.

Dawid Mazur, Tomasz Rybotycki, Piotr Gawron

Proceedings of the Computational Science - ICCS 2025 Workshops, 2025

2024

AQMLator - An Auto Quantum Machine Learning E-Platform.

Tomasz Rybotycki, Piotr Gawron

CoRR, 2024

2021

Predicted Distribution Density Estimation for Streaming Data.

Piotr Kulczycki, Tomasz Rybotycki

Proceedings of the Computational Science - ICCS 2021, 2021

2017

Comparison of similarity measures in context of rules clustering.

Agnieszka Nowak-Brzezinska, Tomasz Rybotycki

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Knowledge Exploration in Medical Rule-Based Knowledge Bases.

Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek

Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

Influence of Similarity Measures for Rules and Clusters on the Efficiency of Knowledge Mining in Rule-Based Knowledge Bases.

Agnieszka Nowak-Brzezinska, Tomasz Rybotycki

Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

2016

Mining Medical Knowledge Bases.

Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek

Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016