| An empirical evaluation of machine learning techniques for chronic kidney disease prophecy B Khan, R Naseem, F Muhammad, G Abbas, S Kim IEEE Access 8, 55012-55022, 2020 | 103 | 2020 |
| Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques B Khan, R Naseem, MA Shah, K Wakil, A Khan, MI Uddin, M Mahmoud Journal of Healthcare Engineering 2021, 2021 | 61 | 2021 |
| Performance Assessment of Classification Algorithms on Early Detection of Liver Syndrome R Naseem, B Khan, MA Shah, K Wakil, A Khan, W Alosaimi, MI Uddin, ... Journal of Healthcare Engineering 2020, 2020 | 33 | 2020 |
| Investigating tree family machine learning techniques for a predictive system to unveil software defects R Naseem, B Khan, A Ahmad, A Almogren, S Jabeen, B Hayat, MA Shah Complexity 2020, 1-21, 2020 | 23 | 2020 |
| Machine learning approaches for liver disease diagnosing B Khan, R Naseem, M Ali, M Arshad, N Jan International Journal of Data Science and Advanced Analytics, 2019 | 23 | 2019 |
| Software cost estimation: Algorithmic and non-algorithmic approaches B Khan, W Khan, M Arshad, N Jan Int. J. Data Sci. Adv. Anal 2 (2), 1-5, 2020 | 19 | 2020 |
| CART J-48graft J48 ID3 Decision Stump and Random Forest: A comparative study TN Shah, MZ Khan, M Ali, B Khan, N Idress Univ. Swabi J. 2 (April), 1-6, 2018 | 13 | 2018 |
| Exploring the Landscape of Automatic Text Summarization: A Comprehensive Survey B Khan, ZA Shah, M Usman, I Khan, B Niazi IEEE Access, 2023 | 9 | 2023 |
| Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification AA Asiri, B Khan, F Muhammad, HA Alshamrani, KA Alshamrani, M Irfan, ... Intell. Autom. Soft Comput 36, 299-312, 2023 | 9 | 2023 |
| Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements B Khan, R Naseem, I Alam, I Khan, H Alasmary, T Rahman IEEE Access 10, 98220-98231, 2022 | 7 | 2022 |
| Software Cost Estimation Using Flower Pollination Algorithm B Khan, R Naseem, M Binsawad, M Khan, A Ahmad Journal of Internet Technology 21 (5), 1243-1251, 2020 | 7 | 2020 |
| Liver Ailment Prediction Using Random Forest Model HT 15. Muhammad, F., Khan, B., Naseem, R., Asiri, A.A., Alshamrani, H.A ... CMC-COMPUTERS MATERIALS & CONTINUA 74 (1), 1049-1067, 2023 | 3 | 2023 |
| ML-Based Model for Risk Prediction in Software Requirements MSG Qureshi, B Khan, M Arshad International Journal of Technology Diffusion (IJTD) 13 (1), 1-17, 2022 | 3 | 2022 |
| PERFORMANCE ANALYSIS OF MPLS AND TRADITIONAL IP IN NODE SCALABLE NETWORKS M Arshad, L Rukh, H Shah, B Khan Journal of Independent Studies and Research Computing 17 (1), 2019 | 2 | 2019 |
| Critical Analysis of Six Frequently Used Classification Algorithms TN Shah, MZ Khan, M Ali, B Khan, H Muhammad University of Swabi Journal 2 (2), 36-40, 2018 | 2 | 2018 |
| Heart Disease Risk Prediction Expending of Classification Algorithms KAA Nisha Mary, Bilal Khan, Abdullah A. Asiri, Fazal Muhammad, Salman Khan ... CMC-Computers, Materials & Continua 73 (3), 6595-6616, 2022 | 1* | 2022 |
| ABMRF: An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu RU Khan | 1 | |
| FEPP: Advancing Software Risk Prediction in Requirements Engineering through Innovative Rule Extraction and Multi-Class Integration M Binsawad, B Khan IEEE Access, 2024 | | 2024 |
| PDF Malware Detection using Machine Learning Models and Test Cases Analysis SSK Bilal Khan, Muhammad Arshad Journal of Cyber Security 5 (1), 1-11, 2023 | | 2023 |
| Sentiment Analysis based on Performance of Linear Support Vector Machine and Multinomial Na¨ ıveNa¨ ıve Bayes using Movie Reviews with Baseline Techniques MM Daniyal, SS Khan, M Khan, B Khan, M Arshad | | 2023 |
Dr. Rashid NaseemPak-Austria Fachhochschule Institute of Applied Sciences and Technology在 paf-iast.edu.pk 的电子邮件经过验证
