Automatic speech recognition: a survey M Malik, MK Malik, K Mehmood, I Makhdoom Multimedia Tools and Applications 80, 9411-9457, 2021 | 383 | 2021 |
Named entity recognition and relation extraction: State-of-the-art Z Nasar, SW Jaffry, MK Malik ACM Computing Surveys (CSUR) 54 (1), 1-39, 2021 | 271 | 2021 |
Impact of domestic and external debt on the economic growth of Pakistan R Atique, K Malik World Applied Sciences Journal 20 (1), 120-129, 2012 | 253 | 2012 |
ECG Images dataset of Cardiac and COVID-19 Patients AH Khan, M Hussain, MK Malik Data in Brief 34, 106762, 2021 | 149 | 2021 |
Information extraction from scientific articles: a survey Z Nasar, SW Jaffry, MK Malik Scientometrics 117 (3), 1931-1990, 2018 | 139 | 2018 |
Cardiac disorder classification by electrocardiogram sensing using deep neural network AH Khan, M Hussain, MK Malik Complexity 2021 (1), 5512243, 2021 | 133 | 2021 |
Textual keyword extraction and summarization: State-of-the-art Z Nasar, SW Jaffry, MK Malik Information Processing & Management 56 (6), 102088, 2019 | 114 | 2019 |
Arrhythmia classification techniques using deep neural network AH Khan, M Hussain, MK Malik Complexity 2021 (1), 9919588, 2021 | 85 | 2021 |
Hate speech detection in roman urdu MM Khan, K Shahzad, MK Malik ACM Transactions on Asian and Low-Resource Language Information Processing …, 2021 | 72 | 2021 |
Machine-learning algorithms for mapping debris-covered glaciers: the Hunza Basin case study AA Khan, A Jamil, D Hussain, M Taj, G Jabeen, MK Malik Ieee Access 8, 12725-12734, 2020 | 64 | 2020 |
Sentiment analysis for a resource poor language—Roman Urdu K Mehmood, D Essam, K Shafi, MK Malik ACM Transactions on Asian and Low-Resource Language Information Processing …, 2019 | 63 | 2019 |
A review of text-based recommendation systems S Kanwal, S Nawaz, MK Malik, Z Nawaz IEEE Access 9, 31638-31661, 2021 | 59 | 2021 |
Urdu named entity recognition: Corpus generation and deep learning applications S Kanwal, K Malik, K Shahzad, F Aslam, Z Nawaz ACM Transactions on Asian and Low-Resource Language Information Processing …, 2019 | 54 | 2019 |
Urdu text classification using majority voting M Usman, Z Shafique, S Ayub, K Malik International Journal of Advanced Computer Science and Applications 7 (8), 2016 | 52 | 2016 |
An unsupervised lexical normalization for Roman Hindi and Urdu sentiment analysis K Mehmood, D Essam, K Shafi, MK Malik Information Processing & Management 57 (6), 102368, 2020 | 44 | 2020 |
Discriminative feature spamming technique for roman urdu sentiment analysis K Mehmood, D Essam, K Shafi, MK Malik IEEE Access 7, 47991-48002, 2019 | 42 | 2019 |
Urdu named entity recognition and classification system using artificial neural network MK Malik ACM Transactions on Asian and Low-Resource Language Information Processing …, 2017 | 42 | 2017 |
Sentiment analysis for roman urdu A Rafique, MK Malik, Z Nawaz, F Bukhari, AH Jalbani Mehran University Research Journal of Engineering & Technology 38 (2), 463-470, 2019 | 40 | 2019 |
Sentiment classification of customer’s reviews about automobiles in roman urdu M Khan, K Malik Advances in Information and Communication Networks: Proceedings of the 2018 …, 2019 | 37 | 2019 |
Transliterating urdu for a broad-coverage urdu/hindi lfg grammar M Kamran Malik, T Ahmed, S Sulger, T Bögel, A Gulzar, G Raza, ... | 37 | 2010 |