Hima Patel

Orcid: 0000-0002-0031-8428

According to our database1, Hima Patel authored at least 30 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis.
CoRR, 2024

Data-Prep-Kit: getting your data ready for LLM application development.
CoRR, 2024

Scaling Granite Code Models to 128K Context.
CoRR, 2024

An Automatic Prompt Generation System for Tabular Data Tasks.
CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.
CoRR, 2024

xLP: Explainable Link Prediction for Master Data Management.
CoRR, 2024

An Automatic Prompt Generation System for Tabular Data Tasks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

2023
A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks.
ACM J. Data Inf. Qual., December, 2023

Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems.
CoRR, 2023

Identifying Semantically Difficult Samples to Improve Text Classification.
CoRR, 2023


2022
Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatic Assessment of Quality of your Data for AI.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets.
CoRR, 2021

Data Readiness Report.
Proceedings of the IEEE International Conference on Smart Data Services, 2021

Data Augmentation for Fairness in Personal Knowledge Base Population.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

1st International Workshop on Data Assessment and Readiness for AI.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

Data-Debugging Through Interactive Visual Explanations.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

2nd International Workshop on Data Quality Assessment for Machine Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Data Quality for Machine Learning Tasks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Explainable Link Prediction for Privacy-Preserving Contact Tracing.
CoRR, 2020

Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning.
CoRR, 2020

Link Prediction using Graph Neural Networks for Master Data Management.
CoRR, 2020

Data Augmentation for Personal Knowledge Graph Population.
CoRR, 2020

A Neural Architecture for Person Ontology population.
CoRR, 2020

Overview and Importance of Data Quality for Machine Learning Tasks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Feedback-Based Keyphrase Extraction from Unstructured Text Documents.
Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2014
An SVM Based Approach for Cardiac View Planning.
CoRR, 2014

A multi-instance learning algorithm based on a stacked ensemble of lazy learners.
CoRR, 2014

Automatic Determination of Anatomical Correspondences for Multimodal Field of View Correction.
Proceedings of the Pattern Recognition - 36th German Conference, 2014


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