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Adnan Idris
Adnan Idris
Professor,Department of Computer Sciences and Information Technology, The University of Poonch
Email verificata su upr.edu.pk
Titolo
Citata da
Citata da
Anno
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
1562012
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
1362018
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
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
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
172019
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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