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ORCIDStefano Pasquali
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2020 – today
- 2024
[c11]Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali:
Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning. CIFEr 2024: 1-9- [c10]Dimitrios Vamvourellis, Máté Tóth, Snigdha Bhagat, Dhruv Desai, Dhagash Mehta, Stefano Pasquali:
Company Similarity Using Large Language Models. CIFEr 2024: 1-9 - [c9]Guanchao Feng
, Dhruv Desai, Stefano Pasquali, Dhagash Mehta:
Open Set Recognition for Random Forest. ICAIF 2024: 45-53 - [c8]Nathalia M. Castellanos, Sebastian Frank, Dhruv Desai, Stefano Pasquali, Dhagash Mehta:
Can an unsupervised clustering algorithm reproduce a categorization system? ICAIF 2024: 213-221 - [c7]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 - [c6]Bhaskarjit Sarmah, Dhagash Mehta, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali:
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. ICAIF 2024: 608-616 - [i9]Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta:
Open Set Recognition for Random Forest. CoRR abs/2408.02684 (2024) - [i8]Bhaskarjit Sarmah, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali, Dhagash Mehta:
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. CoRR abs/2408.04948 (2024) - [i7]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) - [i6]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) - [i5]Bhaskarjit Sarmah, Mingshu Li, Jingrao Lyu, Sebastian Frank, Nathalia M. Castellanos, Stefano Pasquali, Dhagash Mehta:
How to Choose a Threshold for an Evaluation Metric for Large Language Models. CoRR abs/2412.12148 (2024) - [i4]Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan, Sachin Tiwari, Stefano Pasquali, Dhagash Mehta:
A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation. CoRR abs/2412.15298 (2024) - 2023
- [c5]Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu:
Towards reducing hallucination in extracting information from financial reports using Large Language Models. AIMLSystems 2023: 39:1-39:5 - [c4]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 - [i3]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) - [i2]Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali:
Towards reducing hallucination in extracting information from financial reports using Large Language Models. CoRR abs/2310.10760 (2023) - [i1]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
- [c3]Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali:
Learning Mutual Fund Categorization using Natural Language Processing. ICAIF 2022: 87-95 - [c2]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
2010 – 2019
- 2013
- [c1]Paolo Cremonesi, Roberto Pagano, Stefano Pasquali, Roberto Turrin:
TV program detection in tweets. EuroITV 2013: 45-54
Coauthor Index
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