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Dhruv Desai
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2020 – today
- 2024
- [c13]Dimitrios Vamvourellis, Máté Tóth, Snigdha Bhagat, Dhruv Desai, Dhagash Mehta, Stefano Pasquali:
Company Similarity Using Large Language Models. CIFEr 2024: 1-9 - [c12]Guanchao Feng
, Dhruv Desai
, Stefano Pasquali
, Dhagash Mehta
:
Open Set Recognition for Random Forest. ICAIF 2024: 45-53 - [c11]Nathalia M. Castellanos
, Sebastian Frank
, Dhruv Desai
, Stefano Pasquali
, Dhagash Mehta
:
Can an unsupervised clustering algorithm reproduce a categorization system? ICAIF 2024: 213-221 - [c10]Joshua Rosaler
, Dhruv Desai
, Bhaskarjit Sarmah
, Dimitrios Vamvourellis
, Deran Onay
, Stefano Pasquali
, Dhagash Mehta
:
Enhanced Local Explainability and Trust Scores with Random Forest Proximities. ICAIF 2024: 521-529 - [c9]Preetha Saha
, Jasmine Lyu
, Dhruv Desai
, Rishab Chauhan
, Jerinsh Jeyapaulraj
, Peter Chu
, Philip Sommer
, Dhagash Mehta
:
Machine Learning-based Relative Valuation of Municipal Bonds. ICAIF 2024: 634-642 - [c8]Mingshu Li
, Bhaskarjit Sarmah
, Dhruv Desai
, Joshua Rosaler
, Snigdha Bhagat
, Philip Sommer
, Dhagash Mehta
:
Quantile Regression using Random Forest Proximities. ICAIF 2024: 728-736 - [i8]Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta:
Quantile Regression using Random Forest Proximities. CoRR abs/2408.02355 (2024) - [i7]Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta:
Open Set Recognition for Random Forest. CoRR abs/2408.02684 (2024) - [i6]Gregory Yampolsky, Dhruv Desai, Mingshu Li, Stefano Pasquali, Dhagash Mehta:
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals. CoRR abs/2408.06679 (2024) - [i5]Nathalia M. Castellanos, Dhruv Desai, Sebastian Frank, Stefano Pasquali, Dhagash Mehta:
Can an unsupervised clustering algorithm reproduce a categorization system? CoRR abs/2408.10340 (2024) - 2023
- [c7]Dhruv Desai
, Ashmita Dhiman
, Tushar Sharma
, Deepika Sharma
, Dhagash Mehta
, Stefano Pasquali
:
Quantifying Outlierness of Funds from their Categories using Supervised Similarity. ICAIF 2023: 655-663 - [i4]Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali:
Quantifying Outlierness of Funds from their Categories using Supervised Similarity. CoRR abs/2308.06882 (2023) - [i3]Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali:
Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach. CoRR abs/2310.12428 (2023) - 2022
- [c6]Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali:
Learning Mutual Fund Categorization using Natural Language Processing. ICAIF 2022: 87-95 - [c5]Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, Peter Chu, Stefano Pasquali, Philip Sommer:
Supervised similarity learning for corporate bonds using Random Forest proximities. ICAIF 2022: 411-419 - 2021
- [c4]Vipul Satone, Dhruv Desai, Dhagash Mehta:
Fund2Vec: mutual funds similarity using graph learning. ICAIF 2021: 16:1-16:8 - [i2]Vipul Satone, Dhruv Desai, Dhagash Mehta:
Fund2Vec: Mutual Funds Similarity using Graph Learning. CoRR abs/2106.12987 (2021) - 2020
- [c3]Dhagash Mehta, Dhruv Desai, Jithin Pradeep:
Machine learning fund categorizations. ICAIF 2020: 13:1-13:8 - [i1]Dhagash Mehta, Dhruv Desai, Jithin Pradeep:
Machine Learning Fund Categorizations. CoRR abs/2006.00123 (2020)
2010 – 2019
- 2019
- [c2]Sajish Chandrababu, Chinmay Bahulekar, Rakesh Yadav, Dhruv Desai:
Hardware-Assisted Flow Monitoring for High Speed Networks. ICCCNT 2019: 1-5 - 2013
- [c1]Dhruv Desai, Maulin M. Joshi
:
Speaker Recognition Using MFCC and Hybrid Model of VQ and GMM. ISI 2013: 53-63
Coauthor Index
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