| Predicting the direction of stock market prices using tree-based classifiers S Basak, S Kar, S Saha, L Khaidem, SR Dey The North American Journal of Economics and Finance 47, 552-567, 2019 | 448 | 2019 |
| Predicting the direction of stock market prices using random forest L Khaidem, S Saha, SR Dey arXiv preprint arXiv:1605.00003, 2016 | 421 | 2016 |
| Uncertainty learning towards unsupervised deformable medical image registration X Gong, L Khaidem, W Zhu, B Zhang, D Doermann Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 19 | 2022 |
| Optimizing transportation dynamics at a city-scale using a reinforcement learning framework L Khaidem, M Luca, F Yang, A Anand, B Lepri, W Dong IEEE Access 8, 171528-171541, 2020 | 19 | 2020 |
| Predicting the direction of stock market prices using random forest. arXiv 2016 L Khaidem, S Saha, SR Dey arXiv preprint arXiv:1605.00003, 0 | 18 | |
| Expert habitat: a colonization conjecture for exoplanetary habitability via penalized multi-objective optimization-based candidate validation L Khaidem, S Saha, S Kar, A Mathur, S Saha The European Physical Journal Special Topics 230, 2265-2283, 2021 | 1 | 2021 |
| Optimizing Inter-nationality of Journals: A classical gradient approach revisited via Swarm Intelligence L Khaidem, R Yedida, AJ Theophilus Modeling, Machine Learning and Astronomy: First International Conference …, 2020 | | 2020 |
| Quantifying exoplanet habitability via penalized multi-objective optimization L Khaidem, S Saha, S Kar, S Saha, S Basak | | |
