Luo T, Wang J, Yan Z, Gelenbe E.  2025.  Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions. IEEE Network (Early Access), IEEEXplore.  (1.14 MB)

Ahmad A, Ahmad T, Masood S, Siddiqui M.Khizir, El-Rahiem BAbd, Plawiak P, Alblehai F.  2024.  A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method. IEEE Access. 12

Roui MBeheshti, Zomorodi M, Sarvelayati M, Abdar M, Noori H, Plawiak P, Tadeusiewicz R, Zhou X, Khosravi A, Nahavandi S et al..  2021.  A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Elsevier, Knowledge-Based Systems. 231 (3.12 MB)

Nasarian E, Abdar M, Fahami MAmin, Alizadehsani R, Hussain S, Basiri MEhsan, Zomorodi-Moghadam M, Zhou X, Plawiak P, U. Acharya R et al..  2020.  Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Elsevier, Pattern Recognition Letters. 133:33-40. (913.08 KB)

Plawiak P, Abdar M, Pławiak J, Makarenkov V, U Acharya R.  2020.  DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Elsevier, Information Sciences. 516:401-418. (1.21 MB)

Samami M, Akbari E, Abdar M, Plawiak P, Nematzadeh H, Basiri MEhsan, Makarenkov V.  2020.  A mixed solution-based high agreement filtering method for class noise detection in binary classification. Elsevier, Physica A: Statistical Mechanics and its Applications. :124219. (5.51 MB)