| Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines SM Saqlain, M Sher, FA Shah, I Khan, MU Ashraf, M Awais, A Ghani Knowledge and Information Systems 58, 139-167, 2019 | 157 | 2019 |
| Video summarization: techniques and classification M Ajmal, MH Ashraf, M Shakir, Y Abbas, FA Shah Computer Vision and Graphics: International Conference, ICCVG 2012, Warsaw …, 2012 | 148 | 2012 |
| Support vector machines-based heart disease diagnosis using feature subset, wrapping selection and extraction methods SMS Shah, FA Shah, SA Hussain, S Batool Computers & Electrical Engineering 84, 106628, 2020 | 100 | 2020 |
| Using app reviews for competitive analysis: tool support FA Shah, K Sirts, D Pfahl Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market …, 2019 | 39 | 2019 |
| Feature-based evaluation of competing apps FA Shah, Y Sabanin, D Pfahl Proceedings of the international workshop on app market analytics, 15-21, 2016 | 35 | 2016 |
| Is the SAFE approach too simple for app feature extraction? A replication study FA Shah, K Sirts, D Pfahl Requirements Engineering: Foundation for Software Quality: 25th …, 2019 | 22 | 2019 |
| Simple App Review Classification with Only Lexical Features F Shah, K Sirts, D Pfahl 13th International Conference on Software Technologies (ICSOFT 2018), 112-119, 2018 | 17 | 2018 |
| Human Behavior Classification Using Geometrical Features of Skeleton and Support Vector Machines. SMS Shah, TA Malik, SS Hassan, FA Shah Computers, Materials & Continua 61 (2), 2019 | 11 | 2019 |
| The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews FA Shah, K Sirts, D Pfahl OSF Preprints, 2018 | 11 | 2018 |
| Simulating the Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews. FA Shah, K Sirts, D Pfahl ICSOFT, 384-396, 2019 | 9 | 2019 |
| Evaluating and Improving Software Quality Using Text Analysis Techniques-A Mapping Study. FA Shah, D Pfahl REFSQ Workshops, 2016 | 9 | 2016 |
| Simplifying the classification of app reviews using only lexical features FA Shah, K Sirts, D Pfahl Software Technologies: 13th International Conference, ICSOFT 2018, Porto …, 2019 | 7 | 2019 |
| Text clusters labeling using wordnet and term frequency-inverse document frequency S Saqlain, A Nawaz, I Khan, F Shah, M Ashraf Proceedings of the Pakistan Academy of Sciences 53, 281-291, 0 | 3 | |
| IoV-TwinChain: Predictive maintenance of vehicles in internet of vehicles through digital twin and blockchain M Iqbal, S Suhail, R Matulevičius, FA Shah, SUR Malik, K McLaughlin Internet of Things, 101514, 2025 | | 2025 |
| Usability evaluation of academic library websites: a systematic literature review MA Jilani, A Sheikh, FA Shah, SM Saqlain Information Discovery and Delivery, 2025 | | 2025 |
| An LSTM-based Test Selection Method for Self-Driving Cars A Güllü, FA Shah, D Pfahl arXiv preprint arXiv:2501.03881, 2025 | | 2025 |
| Generating and Evolving Real-Life Like Synthetic Data for e-Government Services Without Using Real-World Raw Data MA Tammisto, D Pfahl, FA Shah International Conference on Product-Focused Software Process Improvement …, 2024 | | 2024 |
| A Fine-grained Sentiment Analysis of App Reviews using Large Language Models: An Evaluation Study FA Shah, A Sabir, R Sharma arXiv preprint arXiv:2409.07162, 2024 | | 2024 |
| Blockchain-Driven Secure Auditing of Timber-to-Charcoal Supply Chain M Iqbal, M Zubair, S Suhail, FA Shah, F Milani International Baltic Conference on Digital Business and Intelligent Systems …, 2024 | | 2024 |
| Using Active and Self-Training to Improve Sentiment Prediction on App Reviews Z Arshid, E Mustafa, J Shuja, FA Shah 2024 1st International Conference on Innovative Engineering Sciences and …, 2024 | | 2024 |
Dietmar PfahlUniversity of Tartu, Estoniaut.ee üzerinde doğrulanmış e-posta adresine sahip
