| Portfolio Diversification with Clustering Techniques JD Das, S Bowala, RK Thulasiram, A Thavaneswaran 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 97-102, 2023 | 1 | 2023 |
| Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks JD Das, S Bowala, RK Thulasiram, A Thavaneswaran 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | 1 | 2023 |
| Hybrid Data-Driven and Deep Learning Based Portfolio Optimization AT Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram Journal of Mathematical Finance 14 (3), 271-310, 2024 | | 2024 |
| Encoder–Decoder Based LSTM and GRU Architectures for Stocks and Cryptocurrency Prediction J Dip Das, RK Thulasiram, C Henry, A Thavaneswaran Journal of Risk and Financial Management 17 (5), 200, 2024 | | 2024 |
| High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies S Bowala, A Thavaneswaran, R Thulasiram, T Ranathungage, JD Das 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 375-380, 2023 | | 2023 |
| Comparing threshold networks using different absolute threshold values in understanding the market movements of s&p 500 T Akter, J Dip, AK Azad, A Nobi AIP Conference Proceedings 2611 (1), 2022 | | 2022 |
A. ThavaneswaranProfessor在 cc.umanitoba.ca 的电子邮件经过验证
