Search Results for author: Bhaskarjit Sarmah

Found 3 papers, 0 papers with code

Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach

no code implementations19 Oct 2023 Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali

We initiate a novel approach to explain the out of sample performance of random forest (RF) models by exploiting the fact that any RF can be formulated as an adaptive weighted K nearest-neighbors model.

Towards reducing hallucination in extracting information from financial reports using Large Language Models

no code implementations16 Oct 2023 Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali

For a financial analyst, the question and answer (Q\&A) segment of the company financial report is a crucial piece of information for various analysis and investment decisions.

Hallucination Optical Character Recognition +2

Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning

no code implementations14 Jul 2022 Bhaskarjit Sarmah, Nayana Nair, Dhagash Mehta, Stefano Pasquali

In particular, the algorithm compresses the network into a lower dimensional continuous space, called an embedding, where pairs of nodes that are identified as similar by the algorithm are placed closer to each other.

BIG-bench Machine Learning Management

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