| Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks A Ul-Hasan, SB Ahmed, SF Rashid, F Shafait, TM Breuel 12th International Conference on Document Analysis and Recognition (ICDAR …, 2013 | 140 | 2013 |
| Urdu Nastaliq Recognition using Convolutional-Recursive Deep Learning MIRFS Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Imran Siddiqi, Saad Bin Ahmed Neurocomputing, 2017 | 123 | 2017 |
| Handwritten Urdu character recognition using one-dimensional BLSTM classifier SB Ahmed, S Naz, S Swati, MI Razzak Neural Computing and Applications 31, 1143-1151, 2019 | 96 | 2019 |
| Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, I Siddiqi, MI Razzak Neurocomputing 177, 228-241, 2016 | 91 | 2016 |
| Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, MI Razzak Neural computing and applications 28, 219-231, 2017 | 80 | 2017 |
| Evaluation of Cursive and Non-cursive scripts using Recurrent Neural Networks SB Ahmed, S Naz, MI Razzak, SF Rasheed, TM Breuel Neural Computing Applications (NCA) 2.76, 2015 | 76 | 2015 |
| Deep learning based isolated Arabic scene character recognition SB Ahmed, S Naz, MI Razzak, R Yousaf 2017 1st International Workshop on Arabic Script Analysis and Recognition …, 2017 | 56 | 2017 |
| Segmentation Techniques for Recognition of Arabic-like Scripts: A Comprehensive Survey S Naz, AI Umar, SB Ahmed, SH Shirazi, MI Razzak, I Siddiqi Education and Information Technologies-Springer, 2015 | 53 | 2015 |
| UCOM Offline Dataset – An Urdu Handwritten Dataset Generation SB Ahmed, S Naz, S Swati, MI Razzak, AA Khan, AI Umar International Arab Journal of Information Technology (IAJIT) 0.39, 2015 | 47* | 2015 |
| Zoning features and 2DLSTM for Urdu text-line recognition S Naz, SB Ahmed, R Ahmad, MI Razzak Procedia Computer Science 96, 16-22, 2016 | 42 | 2016 |
| A novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42k and Its Evaluation using Invariant Feature Extraction on Detected Extremal Regions RY Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak IEEE Access 7 (1), 20, 2019 | 29* | 2019 |
| Analysis of fileless malware and its evasive behavior A Afreen, M Aslam, S Ahmed 2020 International Conference on Cyber Warfare and Security (ICCWS), 1-8, 2020 | 23 | 2020 |
| Arabic Cursive Text Recognition from Natural Scene Images SB Ahmed, S Naz, MI Razzak, R Yusof Applied Sciences, 2019 | 22 | 2019 |
| Endpoint detection & response: A malware identification solution A Arfeen, S Ahmed, MA Khan, SFA Jafri 2021 International Conference on Cyber Warfare and Security (ICCWS), 1-8, 2021 | 21 | 2021 |
| Arabic script based digit recognition systems S Naz, S Ahmed, R Ahmad, M Razza International Conference on Recent Advances in Computer Systems, 67-73, 2015 | 18 | 2015 |
| An OCR System For Printed Nasta’liq Script: A Segmentation Based Approach S Naz, AI Umar, SB Ahmed, SH Shirazi, MI Razzak, I Siddiqi 17 IEEE International Multi-topic Conference (INMIC), 2014, 2015 | 17 | 2015 |
| Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience RY Saad Bin Ahmed, Ibrahim A. Hameed, Saeeda Naz, Muhammad Imran Razzak IEEE Access, 2019 | 16 | 2019 |
| STATISTICAL FEATURES EXTRACTION FOR CHARACTER RECOGNITION USING RECURRENT NEURAL NETWORK. S Naz, AI Umar, SB Ahmed, R Ahmad, SH Shirazi, MI Razzak, A Zaman Pakistan Journal of Statistics 34 (1), 2018 | 13 | 2018 |
| Analysis of hyperspectral data to develop an approach for document images Z Zaman, SB Ahmed, MI Malik Sensors 23 (15), 6845, 2023 | 11 | 2023 |
| Saeeda Naz, Muhammad Imran Razzak, Shiekh Faisal Rashid, Muhammad Zeeshan Afzal, and Thomas M Breuel. Evaluation of cursive and non-cursive scripts using recurrent neural networks SB Ahmed Neural Computing and Applications 27 (3), 603-613, 2016 | 11 | 2016 |
Imran RazzakUNSW, Sydney, AustraliaVerified email at ieee.org
