Search Results for author: Hima Patel

Found 12 papers, 0 papers with code

Identifying Semantically Difficult Samples to Improve Text Classification

no code implementations13 Feb 2023 Shashank Mujumdar, Stuti Mehta, Hima Patel, Suman Mitra

In this paper, we investigate the effect of addressing difficult samples from a given text dataset on the downstream text classification task.

text-classification Text Classification

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets

no code implementations12 Aug 2021 Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha

We attempt to re-look at the data quality issues in the context of building a machine learning pipeline and build a tool that can detect, explain and remediate issues in the data, and systematically and automatically capture all the changes applied to the data.

BIG-bench Machine Learning

Explainable Link Prediction for Privacy-Preserving Contact Tracing

no code implementations10 Dec 2020 Balaji Ganesan, Hima Patel, Sameep Mehta

Contact Tracing has been used to identify people who were in close proximity to those infected with SARS-Cov2 coronavirus.

Link Prediction Privacy Preserving

Data Readiness Report

no code implementations14 Oct 2020 Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel

Data exploration and quality analysis is an important yet tedious process in the AI pipeline.

AutoML Management +1

Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning

no code implementations30 Sep 2020 Subhojeet Pramanik, Shashank Mujumdar, Hima Patel

Recent approaches in literature have exploited the multi-modal information in documents (text, layout, image) to serve specific downstream document tasks.

Document Classification Multi-Task Learning +2

Link Prediction using Graph Neural Networks for Master Data Management

no code implementations7 Mar 2020 Balaji Ganesan, Srinivas Parkala, Neeraj R Singh, Sumit Bhatia, Gayatri Mishra, Matheen Ahmed Pasha, Hima Patel, Somashekar Naganna

Learning graph representations of n-ary relational data has a number of real world applications like anti-money laundering, fraud detection, and customer due diligence.

Fraud Detection Link Prediction +1

Data Augmentation for Personal Knowledge Base Population

no code implementations23 Feb 2020 Lingraj S Vannur, Balaji Ganesan, Lokesh Nagalapatti, Hima Patel, MN Thippeswamy

Cold start knowledge base population (KBP) is the problem of populating a knowledge base from unstructured documents.

Data Augmentation Fairness +3

A Neural Architecture for Person Ontology population

no code implementations22 Jan 2020 Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh, Hima Patel, Berthold Reinwald

A person ontology comprising concepts, attributes and relationships of people has a number of applications in data protection, didentification, population of knowledge graphs for business intelligence and fraud prevention.

Classification General Classification +3

An SVM Based Approach for Cardiac View Planning

no code implementations11 Jul 2014 Ramasubramanian Sundararajan, Hima Patel, Dattesh Shanbhag, Vivek Vaidya

We consider the problem of automatically prescribing oblique planes (short axis, 4 chamber and 2 chamber views) in Cardiac Magnetic Resonance Imaging (MRI).

feature selection

A multi-instance learning algorithm based on a stacked ensemble of lazy learners

no code implementations10 Jul 2014 Ramasubramanian Sundararajan, Hima Patel, Manisha Srivastava

This document describes a novel learning algorithm that classifies "bags" of instances rather than individual instances.

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