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Adnan Idris
Adnan Idris
Professor,Department of Computer Sciences and Information Technology, The University of Poonch
Bestätigte E-Mail-Adresse bei upr.edu.pk
Titel
Zitiert von
Zitiert von
Jahr
Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies
A Idris, M Rizwan, A Khan
Computers & Electrical Engineering 38 (6), 1808-1819, 2012
1572012
Earthquake prediction model using support vector regressor and hybrid neural networks
KM Asim, A Idris, T Iqbal, F Martínez-Álvarez
PloS one 13 (7), e0199004, 2018
1372018
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies
L Hussain, A Ahmed, S Saeed, S Rathore, IA Awan, SA Shah, A Majid, ...
Cancer Biomarkers 21 (2), 393-413, 2018
962018
Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification
A Idris, A Khan, YS Lee
Applied intelligence 39, 659-672, 2013
902013
Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification
KM Asim, A Idris, T Iqbal, F Martínez-Álvarez
Soil Dynamics and Earthquake Engineering 111, 1-7, 2018
782018
Genetic programming and adaboosting based churn prediction for telecom
A Idris, A Khan, YS Lee
2012 IEEE international conference on Systems, Man, and Cybernetics (SMC …, 2012
752012
Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling
A Idris, A Iftikhar, ZU Rehman
Cluster Computing 22 (Suppl 3), 7241-7255, 2019
632019
Wavelet based image authentication and recovery
R Chamlawi, A Khan, A Idris
Journal of Computer Science and Technology 22 (6), 795-804, 2007
492007
Detecting brain tumor using machines learning techniques based on different features extracting strategies
L Hussain, S Saeed, IA Awan, A Idris, MSA Nadeem, QA Chaudhry
Current Medical Imaging 15 (6), 595-606, 2019
482019
Customer churn prediction for telecommunication: Employing various various features selection techniques and tree based ensemble classifiers
A Idris, A Khan
Multitopic Conference (INMIC), 2012 15th International, 23-27, 2012
452012
Churn prediction system for telecom using filter–wrapper and ensemble classification
A Idris, A Khan
The Computer Journal 60 (3), 410-430, 2017
372017
Ensemble based efficient churn prediction model for telecom
A Idris, A Khan
2014 12th International Conference on Frontiers of Information Technology …, 2014
292014
MD-LBP: an efficient computational model for protein subcellular localization from HeLa cell lines using SVM
M Tahir, A Idris
Current Bioinformatics 15 (3), 204-211, 2020
242020
Multiscaled Complexity Analysis of EEG Epileptic Seizure Using Entropy-Based Techniques
L Hussain, S Saeed, I Ahmed Awan, A Idris
Archives of Neuroscience, 2018
242018
Short Term Earthquake Prediction in Hindukush Region Using Tree Based Ensemble Learning
KM Asim, A Idris, F Martínez-Álvarez, T Iqbal
14th International Conference on Frontiers of Information Technology(FIT) ,2016, 2016
202016
Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images
L Hussain, A Ali, S Rathore, S Saeed, A Idris, MU Usman
IEEE Access 7, 1586 - 1601, 2018
192018
Regression analysis for detecting epileptic seizure with different feature extracting strategies
L Hussain, S Saeed, A Idris, IA Awan, SA Shah, A Majid, B Ahmed, ...
Biomedical Engineering/Biomedizinische Technik 64 (6), 619-642, 2019
182019
Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry
R Jafari-Marandi, J Denton, A Idris, BK Smith, A Keramati
Neural Computing and Applications 32, 14929-14962, 2020
172020
Comparative analysis of different statistical methods for prediction of PM2. 5 and PM10 concentrations in advance for several hours
S Saeed, L Hussain, IA Awan, A Idris
IJCSNS International Journal of Computer Science and Network Security 17 (11 …, 2017
172017
A secure semi-fragile watermarking scheme for authentication and recovery of images based on wavelet transform
R Chamlawi, A Khan, A Idris, Z Munir
International Journal of Computer and Information Engineering 2 (11), 3866-3870, 2008
172008
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