U Rajendra Acharya

2023

Patro K.; Allam J.; Neelapu B.; Tadeusiewicz R.; Acharya R.; Hammad M.; Yildirim O.; Plawiak P.; Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images; Information Sciences; 2023

2021

Wierzbiński M.; Plawiak P.; Hammad M.; Acharya R.; Development of accurate classification of heavenly bodies using novel machine learning techniques; Springer, Soft Computing; 2021

2020

Alizadehsani R.; Roshanzamir M.; Abdar M.; Beykikhoshk A.; Khosravi A.; Nahavandi S.; Plawiak P.; San Tan R.; Acharya R.; Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries; Wiley, Expert Systems; 2020
Plawiak P.; Abdar M.; Pławiak J.; Makarenkov V.; Acharya R.; DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring; Elsevier, Information Sciences; 2020