Paweł Pławiak , PhD Email: Orcid ID: 0000-0002-4317-2801Strona WWW: Personal home pagePosition: Institute ProfessorResearch groups Machine Learning Group Horizontal TabsPublications Biblio RSS 2021 51. Roui, M. Beheshti, M. Zomorodi, M. Sarvelayati, M. Abdar, H. Noori, P. Plawiak, R. Tadeusiewicz, X. Zhou, A. Khosravi, S. Nahavandi, et al., "A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs", Elsevier, Knowledge-Based Systems, vol. 231, 11/23021, 2021. (3.12 MB) 52. Abdar, M., M. Amin Fahami, S. Chakrabarti, A. Khosravi, P. Plawiak, R. U. Acharya, R. Tadeusiewicz, and S. Nahavandi, "BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification", Elsevier, Information Sciences, vol. 577, 10/2021. (4.62 MB) 53. Ghodsollahee, I., Z. Davarzani, M. Zomorodi, P. Plawiak, M. Houshmand, and M. Houshmand, "Connectivity matrix model of quantum circuits and its application to distributed quantum circuit optimization", Springer, Quantum Information Processing, vol. 20, 08/2021. (2.21 MB) 2020 54. Nasarian, E., M. Abdar, M. Amin Fahami, R. Alizadehsani, S. Hussain, M. Ehsan Basiri, M. Zomorodi-Moghadam, X. Zhou, P. Plawiak, R. U. Acharya, et al., "Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach", Elsevier, Pattern Recognition Letters, vol. 133, pp. 33-40, 05/2020. (913.08 KB) 55. Samami, M., E. Akbari, M. Abdar, P. Plawiak, H. Nematzadeh, M. Ehsan Basiri, and V. Makarenkov, "A mixed solution-based high agreement filtering method for class noise detection in binary classification", Elsevier, Physica A: Statistical Mechanics and its Applications, pp. 124219, 2020. (5.51 MB) 56. Tuncer, T., F. Ertam, S. Dogan, E. Aydemir, and P. Plawiak, "Ensemble residual network-based gender and activity recognition method with signals", Journal of Supercomputing, vol. 76, issue 2020, pp. 2119–2138, 03/2020. (2.74 MB) 57. Alizadehsani, R., M. Roshanzamir, M. Abdar, A. Beykikhoshk, A. Khosravi, S. Nahavandi, P. Plawiak, R. San Tan, and R. U Acharya, "Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries", Wiley, Expert Systems, 04/2020. (2.36 MB) 58. Żelasko, D., P. Plawiak, and J. Kołodziej, "Machine learning techniques for transmission parameters classification in multi-agent managed network", 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, IEEE, 05/2020. (877.3 KB) 59. Tuncer, T., S. Dogan, M. Abdar, and P. Plawiak, "A novel facial image recognition method based on perceptual hash using quintet triple binary pattern", Multimedia Tools and Applications, vol. 79, issue 39, pp. 29573-29593, 10/2020. (1.69 MB) 60. Książek, W., M. Hammad, P. Plawiak, R. U. Acharya, and R. Tadeusiewicz, "Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection", Biocybernetics and Biomedical Engineering, vol. 40, issue 4, pp. 1512-1524, 10/2020. (1.1 MB) 61. Plawiak, P., M. Abdar, J. Pławiak, V. Makarenkov, and R. U Acharya, "DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring", Elsevier, Information Sciences, vol. 516, pp. 401 - 418, 2020. (1.21 MB) 2019 62. Kandala, R. N. V. P. S., R. Dhuli, P. Plawiak, G. R. Naik, H. Moeinzadeh, G. D. Gargiulo, and S. Gunnam, "Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method", MDPI, Sensors, vol. 23, issue 19, pp. 5079, 11/2019. (1.3 MB) 63. Kandala, R. N. V. P. S., R. Dhuli, P. Plawiak, G. R. Naik, H. Moeinzadeh, G. D. Gargiulo, and S. Gunnam, "Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method", MDPI Sensors, vol. 19, pp. 5079, 2019. 64. Dogra, A., H. Al Ewaidat, N. Abdel Samee, J. Prakash Allam, K. Kumar Patro, P. Plawiak, N. F. Mahmoud, and M. Hammad, "The Knowledge and Perception about COVID-19 among Medical Imaging Professionals", Health & Social Care in the Community, 2023. 65. Patro, K. Kumar, J. Prakash Allam, U. Sanapala, C. Kumar Marpu, N. Abdel Samee, M. Alabdulhafith, and P. Plawiak, "An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques", BMC Bioinformatics. Pages« pierwsza‹ poprzednia123
