Karol Capala

According to our database, Karol Capala authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Design and Analysis of an Improved Constrained Hypercube Mixer in Quantum Approximate Optimization Algorithm.

Arkadiusz Wolk, Karol Capala, Katarzyna Rycerz

CoRR, March, 2026

Modularity Maximization and Community Detection in Complex Networks Through Recursive and Hierarchical Annealing in the DWAVE Advantage Quantum Processing Units.

Joan Falcó-Roget, Kacper Jurek, Barbara Wojtarowicz, Karol Capala, Katarzyna Rycerz

IEEE Trans. Netw. Sci. Eng., 2026

2025

Stability of Machine Learning Predictive Features Under Limited Data.

Karol Capala, Paulina Tworek, José L. R. Sousa

IEEE Trans. Knowl. Data Eng., September, 2025

2024

CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures.

Luca Gherardini, Varun Ravi Varma, Karol Capala, Roger F. Woods, José L. R. Sousa

ACM Trans. Intell. Syst. Technol., June, 2024

Modularity maximization and community detection in complex networks through recursive and hierarchical annealing in the D-Wave Advantage quantum processing units.

Joan Falcó-Roget, Kacper Jurek, Barbara Wojtarowicz, Karol Capala, Katarzyna Rycerz

CoRR, 2024

Improving Noise Robustness through Abstractions and its Impact on Machine Learning.

Alfredo Ibias, Karol Capala, Varun Ravi Varma, Anna Drozdz, José L. R. Sousa

CoRR, 2024

The Significance of Data Abstraction Methods in Machine Learning Classification Processes for Critical Decision-Making.

Karol Capala, Paulina Tworek, José L. R. Sousa

CoRR, 2024

2023

SaNDA: A small and iNcomplete dataset analyser.

Alfredo Ibias, Varun Ravi Varma, Karol Capala, Luca Gherardini, José L. R. Sousa

Inf. Sci., September, 2023