| Deep generative models to counter class imbalance: A model-metric mapping with proportion calibration methodology B Mirza, D Haroon, B Khan, A Padhani, TQ Syed IEEE Access 9, 55879-55897, 2021 | 6 | 2021 |
| Generation of sokoban stages using recurrent neural networks M Suleman, FH Syed, TQ Syed, S Arfeen, SI Behlim, B Mirza International Journal of Advanced Computer Science and Applications 8 (3), 2017 | 5 | 2017 |
| Ladder networks: Learning under massive label deficit B Mirza, T Syed, J Memon, Y Malik International Journal of Advanced Computer Science and Applications 8 (7), 2017 | 4 | 2017 |
| Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges—A Practitioners’ Cookbook B Mirza, TQ Syed, B Khan, Y Malik ACM Computing Surveys (CSUR) 54 (1), 1-39, 2021 | 3 | 2021 |
| Task memorization for incremental learning with a common neural network M Ahmad, B Mirza, B Khan, T Syed Researchgate (2020), 1-12, 2020 | 2 | 2020 |
| A synergistic framework-big data analytics challenges and potential solutions from deep learning B Mirza, Y Malik, T Syed | 2 | 2018 |
| Deep generative models to counter class imbalance: a model‑metric mapping with proportionality calibration methodology B Mizra, D Haroon, B Khan, A Padhani, TQ Syed IEEE Access, 55879-97, 2015 | 1 | 2015 |
| CROSS-VALIDATION FOR INCREMENTAL DATA OBSERVABILITY SETTINGS UNDER CAUSAL COVARIATE SHIFT BY USING A FISHER INFORMATION PENALTY B Khan, IBA Karachi, T Syed, B Mirza, NM Durrani | | 2023 |
| Self-supervision for tabular data by learning to predict additive homoskedastic Gaussian noise as pretext T Syed, B Mirza ACM Transactions on Knowledge Discovery from Data, 2023 | | 2023 |
| SELF-SUPERVISION FOR TABULAR DATA BY LEARNING TO PREDICT ADDITIVE GAUSSIAN NOISE AS PRETEXT B Mirza, T Syed | | 2021 |
| CONFIDENCE NORMALIZATION FOR DISCOURAGING HIGHLY-CONFIDENT MISCLASSIFICATIONS IN SOFTMAX-BASED CLASSIFIERS BY REUSING LABEL INFORMATION T Syed, R Syed, B Mirza | | 2020 |
| TASK MEMORIZATION FOR INCREMENTAL LEARNING WITH A COMMON NEURAL NETWORK ARCHITECTURE M Ahmad, B Mirza, T Syed | | 2020 |
| SUSTAINING LEARNING UNDER DENSITY SHIFT: Abig DATA VOLUME TO VELOCITY REDUCTION MA Siddiqui, B Mirza, T Syed | | 2020 |
| Deep generative models to counter class imbalance: a guided model selection strategy B Mirza, A Padhani, D Haroon, A Siddiqui, TQ Syed | | |
