| Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping B Aslam, A Zafar, U Khalil Natural Hazards 115 (1), 673-707, 2023 | 32 | 2023 |
| Development of integrated deep learning and machine learningalgorithm for the assessment of landslide hazard potential UK Bilal Aslam, Adeel Zafar Soft Computing 25 (17), 1-20, 2021 | 30* | 2021 |
| Search-based procedural content generation for GVG-LG A Zafar, H Mujtaba, B Omer, Mirza Applied Soft Computing, 2019 | 30 | 2019 |
| Fake news detection on Pakistani news using machine learning and deep learning A Kishwar, A Zafar Expert Systems with Applications 211, 118558, 2023 | 23 | 2023 |
| Design Patterns and General Video Game Level Generation UM Mudassar Sharif, Adeel Zafar International Journal of Advanced Computer Science and Applications(IJACSA …, 2017 | 17* | 2017 |
| Seismic activity prediction of the northern part of Pakistan from novel machine learning technique UAQ Bilal Aslam, Adeel Zafar, Umer Khalil Journal of Seismology 24 (6), 2021 | 15* | 2021 |
| Using Patterns as Objectives for General Video Game Level Generation MTBMOB Adeel Zafar, Hasan Mujtaba International Computer Games Association Journal 41, 1-12, 2019 | 15* | 2019 |
| Seismic investigation of the northern part of Pakistan using the statistical and neural network algorithms UK Bilal Aslam, Adeel Zafar, Umar Azam Qureshi Environmental Earth Sciences 80 (2), 2021 | 14 | 2021 |
| A constructive approach for general video game level generation. In 2019 11th Computer Science and Electronic Engineering (CEEC) A Zafar, H Mujtaba, S Ashiq, MO Beg IEEE, 2019 | 13 | 2019 |
| Deceptive Level Generator. A Zafar, H Mujtaba, MO Beg, S Ali AIIDE Workshops, 2018 | 12 | 2018 |
| Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan B Aslam, A Zafar, U Khalil Environment, Development and Sustainability, 1-28, 2022 | 10 | 2022 |
| Evolving Levels for General Games Using Deep Convolutional Generative Adversarial Networks A Irfan, A Zafar, S Hassan 2019 11th Computer Science and Electronic Engineering (CEEC), 2019 | 10 | 2019 |
| Enhancing heart disease prediction using a self-attention-based transformer model AU Rahman, Y Alsenani, A Zafar, K Ullah, K Rabie, T Shongwe Scientific Reports 14 (1), 514, 2024 | 8 | 2024 |
| Identifying catastrophic failures in offline level generation for mario A Zafar, H Mujtaba 2012 10th International Conference on Frontiers of Information Technology, 62-67, 2012 | 7 | 2012 |
| Corpus for angry birds level generation A Zafar, S Hassan 2019 2nd International Conference on Computing, Mathematics and Engineering …, 2019 | 5 | 2019 |
| Scrutinize artificial intelligence algorithms for Pakistani and Indian parody tweets detection M Abu Talha, A Zafar Journal of Intelligent & Fuzzy Systems 44, 2022 | 4 | 2022 |
| Procedural Content Generation for General Video Game Level Generation A Zafar, H Mujtaba, O Beg Inteligencia Artificial 24 (68), 33-36, 2021 | 4 | 2021 |
| Predicting fake news using glove and bert embeddings A Kishwar, A Zafar 2021 6th South-East Europe Design Automation, Computer Engineering, Computer …, 2021 | 3 | 2021 |
| A constructive approach for general video game level generation A Zafar, H Mujtaba, S Ashiq, MO Beg 2019 11th Computer Science and Electronic Engineering (CEEC), 102-107, 2019 | 3 | 2019 |
| Landslide Susceptibility Mapping for Muzaffarabad Region Using Machine Learning Algorithms MS Sarwar, SA Fatima, M Aman, A Shoaib, B Aslam, A Zafar | 2 | 2022 |
Hasan MujtabaAssociate Professor, School of Computer Science, National University of Computer and Emerging SciencesVerified email at nu.edu.pk
