BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. - Théo Guénais; Dimitris Vamvourellis; Yaniv Yacoby; Finale Doshi-Velez; Weiwei Pan (CoRR, 2020)

Learning Mutual Fund Categorization using Natural Language Processing. - Dimitrios Vamvourellis; Máté Tóth; Dhruv Desai; Dhagash Mehta; Stefano Pasquali (ICAIF, 2022)

Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach. - Joshua Rosaler; Dhruv Desai; Bhaskarjit Sarmah; Dimitrios Vamvourellis; Deran Onay; Dhagash Mehta; Stefano Pasquali (CoRR, 2023)

Company Similarity Using Large Language Models. - Dimitrios Vamvourellis; Máté Tóth; Snigdha Bhagat; Dhruv Desai; Dhagash Mehta; Stefano Pasquali (CIFEr, 2024)

Enhanced Local Explainability and Trust Scores with Random Forest Proximities. - Joshua Rosaler; Dhruv Desai; Bhaskarjit Sarmah; Dimitrios Vamvourellis; Deran Onay; Stefano Pasquali; Dhagash Mehta (ICAIF, 2024)

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis. - Dimitris Vamvourellis; Dhagash Mehta (CoRR, 2025)