An efficient unsupervised feature selection procedure through feature clustering X Yan, S Nazmi, BA Erol, A Homaifar, B Gebru, E Tunstel Pattern Recognition Letters 131, 277-284, 2020 | 41 | 2020 |
A review on human–machine trust evaluation: Human-centric and machine-centric perspectives B Gebru, L Zeleke, D Blankson, M Nabil, S Nateghi, A Homaifar, E Tunstel IEEE Transactions on Human-Machine Systems 52 (5), 952-962, 2022 | 31 | 2022 |
A clustering-based active learning method to query informative and representative samples X Yan, S Nazmi, B Gebru, M Anwar, A Homaifar, M Sarkar, KD Gupta Applied Intelligence 52 (11), 13250-13267, 2022 | 12 | 2022 |
An online learning framework for sensor fault diagnosis analysis in autonomous cars X Yan, M Sarkar, B Lartey, B Gebru, A Homaifar, A Karimoddini, E Tunstel IEEE Transactions on Intelligent Transportation Systems, 2023 | 6 | 2023 |
A supervised feature selection method for mixed-type data using density-based feature clustering X Yan, M Sarkar, B Gebru, S Nazmi, A Homaifar 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 4 | 2021 |
A data-driven approach for performance evaluation of autonomous evtols M Sarkar, X Yan, B Gebru, AR Nuhu, KD Gupta, KG Vamvoudakis, ... Authorea Preprints, 2023 | 3 | 2023 |
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration X Yan, S Nazmi, B Gebru, M Anwar, A Homaifar, M Sarkar, KD Gupta arXiv preprint arXiv:2207.02964, 2022 | 2 | 2022 |