Dhruv Desai

According to our database, Dhruv Desai authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals.

Gregory Yampolsky, Dhruv Desai, Mingshu Li, Stefano Pasquali, Dhagash Mehta

CoRR, 2024

Machine Learning-based Relative Valuation of Municipal Bonds.

Preetha Saha, Jasmine Lyu, Dhruv Desai, Rishab Chauhan, Jerinsh Jeyapaulraj, Peter Chu, Philip Sommer, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 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

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Quantile Regression using Random Forest Proximities.

Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Open Set Recognition for Random Forest.

Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Can an unsupervised clustering algorithm reproduce a categorization system?

Nathalia M. Castellanos, Sebastian Frank, Dhruv Desai, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

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

Quantifying Outlierness of Funds from their Categories using Supervised Similarity.

Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

Learning Mutual Fund Categorization using Natural Language Processing.

Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Supervised similarity learning for corporate bonds using Random Forest proximities.

Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, Peter Chu, Stefano Pasquali, Philip Sommer

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

Fund2Vec: mutual funds similarity using graph learning.

Vipul Satone, Dhruv Desai, Dhagash Mehta

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

Machine learning fund categorizations.

Dhagash Mehta, Dhruv Desai, Jithin Pradeep

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019

Hardware-Assisted Flow Monitoring for High Speed Networks.

Sajish Chandrababu, Chinmay Bahulekar, Rakesh Yadav, Dhruv Desai

Proceedings of the 10th International Conference on Computing, 2019

2013

Speaker Recognition Using MFCC and Hybrid Model of VQ and GMM.

Dhruv Desai, Maulin M. Joshi

Proceedings of the Recent Advances in Intelligent Informatics, 2013