An intelligent prediction system for educational data mining based on ensemble and filtering approaches M Ashraf, M Zaman, M Ahmed Procedia Computer Science 167, 1471-1483, 2020 | 120 | 2020 |
Heart disease prediction using machine learning techniques: a quantitative review L Riyaz, MA Butt, M Zaman, O Ayob International Conference on Innovative Computing and Communications …, 2022 | 67 | 2022 |
Is deep learning on tabular data enough? An assessment SA Fayaz, M Zaman, S Kaul, MA Butt International Journal of Advanced Computer Science and Applications 13 (4), 2022 | 47 | 2022 |
A survey of medical image analysis using deep learning approaches A Rehman, MA Butt, M Zaman 2021 5th International Conference on Computing Methodologies and …, 2021 | 38 | 2021 |
Using ensemble StackingC method and base classifiers to ameliorate prediction accuracy of pedagogical data M Ashraf, M Zaman, M Ahmed Procedia computer science 132, 1021-1040, 2018 | 37 | 2018 |
Applications of machine learning and deep learning on biological data F Masoodi, M Quasim, S Bukhari, S Dixit, S Alam CRC Press, 2023 | 31 | 2023 |
Numerical and experimental investigation of meteorological data using adaptive linear M5 model tree for the prediction of rainfall S Amir, M Zaman, M Ahmed | 31 | 2022 |
Analytical comparison between the information gain and Gini index using historical geographical data M Zaman, S Kaul, M Ahmed International Journal of Advanced Computer Science and Applications 11 (5), 2020 | 29 | 2020 |
To ameliorate classification accuracy using ensemble distributed decision tree (DDT) vote approach: An empirical discourse of geographical data mining SA Fayaz, M Zaman, MA Butt Procedia Computer Science 184, 935-940, 2021 | 28 | 2021 |
Performance analysis and different subject combinations: An empirical and analytical discourse of educational data mining M Ashraf, M Zaman, M Ahmed 2018 8th International Conference on Cloud Computing, Data Science …, 2018 | 28 | 2018 |
Advances in computer vision and information technology KV Kale IK International Publishing House, 2008 | 27 | 2008 |
Disease detection and prediction using the liver function test data: A review of machine learning algorithms I Altaf, MA Butt, M Zaman International Conference on Innovative Computing and Communications …, 2022 | 26 | 2022 |
GWLM–NARX: Grey Wolf Levenberg–Marquardt-based neural network for rainfall prediction R Mohd, MA Butt, MZ Baba Data technologies and applications 54 (1), 85-102, 2020 | 26 | 2020 |
Information translation: a practitioners approach M Zaman, MA Butt World congress on engineering and computer science (WCECS) 1, 2012 | 26 | 2012 |
A pragmatic comparison of supervised machine learning classifiers for disease diagnosis I Altaf, MA Butt, M Zaman 2021 Third International Conference on Inventive Research in Computing …, 2021 | 25 | 2021 |
SALM-NARX: Self Adaptive LM-based NARX model for the prediction of rainfall R Mohd, MA Butt, MZ Baba 2018 2nd international conference on I-SMAC (IoT in social, mobile …, 2018 | 25 | 2018 |
Knowledge discovery in geographical sciences—A systematic survey of various machine learning algorithms for rainfall prediction SA Fayaz, M Zaman, MA Butt International Conference on Innovative Computing and Communications …, 2022 | 24 | 2022 |
An experimental evaluation of bayesian classifiers applied to intrusion detection NM Mir, S Khan, MA Butt, M Zaman Indian Journal of Science and Technology 9 (12), 1-7, 2016 | 24 | 2016 |
An application of logistic model tree (LMT) algorithm to ameliorate Prediction accuracy of meteorological data SA Fayaz, M Zaman, MA Butt International Journal of Advanced Technology and Engineering Exploration 8 …, 2021 | 23 | 2021 |
International conference on innovative computing and communications A Khanna, D Gupta, S Bhattacharyya, AE Hassanien, S Anand, A Jaiswal Proceedings of ICICC 2, 2021 | 22 | 2021 |