Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games. - Lara J. Martin; Srijan Sood; Mark O. Riedl (INT/WICED@AIIDE, 2018)

Debiasing classifiers: is reality at variance with expectation? - Ashrya Agrawal; Florian Pfisterer; Bernd Bischl; Jiahao Chen 001; Srijan Sood; Sameena Shah; Francois Buet-Golfouse; Bilal A. Mateen; Sebastian J. Vollmer (CoRR, 2020)

Visual Forecasting of Time Series with Image-to-Image Regression. - Naftali Cohen; Srijan Sood; Zhen Zeng; Tucker Balch; Manuela Veloso (CoRR, 2020)

Visual time series forecasting: an image-driven approach. - Srijan Sood; Zhen Zeng; Naftali Cohen; Tucker Balch; Manuela Veloso (ICAIF, 2021)

AI in Investment Analysis: LLMs for Equity Stock Ratings. - Kassiani Papasotiriou; Srijan Sood; Shayleen Reynolds; Tucker Balch (ICAIF, 2024)

Synthetic Data Applications in Finance. - 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; et al. (CoRR, 2024)

Ensemble Methods for Sequence Classification with Hidden Markov Models. - Maxime Kawawa-Beaudan; Srijan Sood; Soham Palande; Ganapathy Mani; Tucker Balch; Manuela Veloso (CoRR, 2024)

Behavioral Sequence Modeling with Ensemble Learning. - Maxime Kawawa-Beaudan; Srijan Sood; Soham Palande; Ganapathy Mani; Tucker Balch; Manuela Veloso (CoRR, 2024)