SaNDA: A small and iNcomplete dataset analyser. - Alfredo Ibias; Varun Ravi Varma; Karol Capala; Luca Gherardini; José L. R. Sousa (Inf. Sci., 2023)

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)

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)

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)

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., 2024)

Stability of Machine Learning Predictive Features Under Limited Data. - Karol Capala; Paulina Tworek; José L. R. Sousa (IEEE Trans. Knowl. Data Eng., 2025)