Patro KKumar, Allam JPrakash, Neelapu BChakravart, Tadeusiewicz R, U Acharya R, Hammad M, Yildirim O, Plawiak P.  2023.  Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Information Sciences. 640

Kandukuri URani, Prakash AJaya, Patro KKumar, Neelapu BChakravart, Tadeusiewicz R, Plawiak P.  2023.  Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea. International Journal of Applied Mathematics and Computer Science. 33

Sakr AS, Plawiak P, Tadeusiewicz R, Pławiak J, Sakr M, Hammad M.  2023.  ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Information Sciences. 619

Maher A, Qaisar SMian, Salankar N., Jiang F, Tadeusiewicz R, Plawiak P, EL-Latif AAAbd, Hammad M.  2023.  Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning. Biocybernetics and Biomedical Engineering. 43

Avci D, Sert E, Dogantekin E, Yildirim O, Tadeusiewicz R, Plawiak P.  2023.  A new super resolution Faster R-CNN model based detection and classification of urine sediments. Biocybernetics and Biomedical Engineering. 43

Patro KKumar, Allam JPrakash, Hammad M, Tadeusiewicz R, Plawiak P.  2023.  SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19. Biocybernetics and Biomedical Engineering. 43

Prakash AJaya, Patro KKumar, Hammad M, Tadeusiewicz R, Plawiak P.  2022.  BAED: A secured biometric authentication system using ECG signal based on deep learning techniques.. Biocybernetics and Biomedical Engineering. 42

Sakr AS, Plawiak P, Tadeusiewicz R, Hammad M.  2022.  Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication.. Information Sciences. 585

Plawiak P, Salankar N, Qaisar SMian, Tadeusiewicz R, Hammad M.  2022.  EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning.. Biocybernetics and Biomedical Engineering. 42

Saber S, Amin K, Plawiak P, Tadeusiewicz R, Hammad M.  2022.  Graph Convolutional Network with Triplet Attention learning for Person Re-Identification.. Information Sciences.

Hammad M, Bakrey M, Bakhiet A, Tadeusiewicz R, EL-Latif AAAbd, Plawiak P.  2022.  A novel end-to-end deep learning approach for cancer detection based on microscopic medical images.. Biocybernetics and Biomedical Engineering. 42

Qaisar SMian, Khan SI, Dallet D, Tadeusiewicz R, Plawiak P.  2022.  Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare. Biocybernetics and Biomedical Engineering.. 42

Hammad M, Kandala RNVPS, Abdelatey A, Abdar M, Zomorodi‐Moghadam M, San Tan R, U. Acharya R, Pławiak J, Tadeusiewicz R, Makarenkov V et al..  2021.  Automated detection of shockable ECG signals: A review. Elsevier, Information Sciences.  (3.76 MB)

Abdar M, Fahami MAmin, Chakrabarti S, Khosravi A, Plawiak P, U. Acharya R, Tadeusiewicz R, Nahavandi S.  2021.  BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Elsevier, Information Sciences. 577 (4.62 MB)

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)

Książek W, Hammad M, Plawiak P, U. Acharya R, Tadeusiewicz R.  2020.  Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection. Biocybernetics and Biomedical Engineering. 40(4):1512-1524. (1.1 MB)

Głomb P, Cholewa M.  2015.  Experimental Evaluation of Selected Approaches to Covariance Matrix Regularization. Artificial Intelligence and Soft Computing. 9120:391-401.

Głomb P, Sochan A.  2014.  Surface Mixture Models for the Optimization of Object Boundary Representation. Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science 8467. :703–714.

Blachnik M., Głomb P.  2012.  Do we need complex models for gestures? A comparison of data representation and preprocessing methods for hand gesture recognition Artificial Intelligence and Soft Computing Lecture Notes in Computer Science 7267. :477–485.

Głomb P.  2006.  Artificial Intelligence and Soft Computing.

Pawlak Z.  2004.  Inference rules and decision rules. :102–108.