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2020 – today
- 2024
[c3]Kassiani Papasotiriou
, Srijan Sood, Shayleen Reynolds, Tucker Balch:
AI in Investment Analysis: LLMs for Equity Stock Ratings. ICAIF 2024: 419-427- [i6]Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch:
Synthetic Data Applications in Finance. CoRR abs/2401.00081 (2024) - [i5]Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso:
Ensemble Methods for Sequence Classification with Hidden Markov Models. CoRR abs/2409.07619 (2024) - [i4]Kassiani Papasotiriou, Srijan Sood, Shayleen Reynolds, Tucker Balch:
AI in Investment Analysis: LLMs for Equity Stock Ratings. CoRR abs/2411.00856 (2024) - [i3]Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso:
Behavioral Sequence Modeling with Ensemble Learning. CoRR abs/2411.02174 (2024) - 2021
- [c2]Srijan Sood, Zhen Zeng, Naftali Cohen, Tucker Balch, Manuela Veloso:
Visual time series forecasting: an image-driven approach. ICAIF 2021: 22:1-22:9 - 2020
- [i2]Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A. Mateen, Sebastian J. Vollmer:
Debiasing classifiers: is reality at variance with expectation? CoRR abs/2011.02407 (2020) - [i1]Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso:
Visual Forecasting of Time Series with Image-to-Image Regression. CoRR abs/2011.09052 (2020)
2010 – 2019
- 2018
- [c1]Lara J. Martin, Srijan Sood, Mark O. Riedl:
Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games. INT/WICED@AIIDE 2018
Coauthor Index
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