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ORCIDHima Patel
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2020 – today
- 2024
[c13]Ashlesha Akella, Abhijit Manatkar, Brijkumar Chavda, Hima Patel:
An Automatic Prompt Generation System for Tabular Data Tasks. NAACL (Industry Track) 2024: 191-200- [i16]Balaji Ganesan, Matheen Ahmed Pasha, Srinivas Parkala, Neeraj R. Singh, Gayatri Mishra, Sumit Bhatia, Hima Patel, Somashekar Naganna, Sameep Mehta:
xLP: Explainable Link Prediction for Master Data Management. CoRR abs/2403.09806 (2024) - [i15]Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - [i14]Ashlesha Akella, Abhijit Manatkar, Brij Chavda, Hima Patel:
An Automatic Prompt Generation System for Tabular Data Tasks. CoRR abs/2405.05618 (2024) - [i13]Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Scaling Granite Code Models to 128K Context. CoRR abs/2407.13739 (2024) - [i12]David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Abdulhamid Adebayo, Revital Eres, Mohammad Nassar, Hima Patel, S. Yousaf Shah, Constantin Adam, Petros Zerfos, Nirmit Desai, Daiki Tsuzuku, Takuya Goto, Michele Dolfi, Saptha Surendran, Paramesvaran Selvam, Sungeun An, Yuan Chi Chang, Dhiraj Joshi, Hajar Emami-Gohari, Xuan-Hong Dang, Yan Koyfman, Shahrokh Daijavad:
Data-Prep-Kit: getting your data ready for LLM application development. CoRR abs/2409.18164 (2024) - 2023
- [j1]Hima Patel
, Shanmukha C. Guttula, Nitin Gupta, Sandeep Hans, Ruhi Sharma Mittal, Lokesh Nagalapatti:
A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks. ACM J. Data Inf. Qual. 15(4): 44:1-44:26 (2023) - [c12]Daniel Karl I. Weidele, Gaetano Rossiello, Gregory Bramble, Abel N. Valente, Sugato Bagchi, Md. Faisal Mahbub Chowdhury, Mauro Martino, Nandana Mihindukulasooriya, Haritha Ananthakrishnan, Hendrik Strobelt, Hima Patel, Alfio Massimiliano Gliozzo, Owen Cornec, Ankush Gupta, Sameep Mehta, Manish Kesarwani, Horst Samulowitz, Oktie Hassanzadeh, Arvind Agarwal, Lisa Amini:
Conversational GUI for Semantic Automation Layer. ISWC (Posters/Demos/Industry) 2023 - [i11]Shashank Mujumdar, Stuti Mehta, Hima Patel, Suman K. Mitra:
Identifying Semantically Difficult Samples to Improve Text Classification. CoRR abs/2302.06155 (2023) - [i10]Nischal Ashok Kumar, Nitin Gupta, Shanmukha C. Guttula, Hima Patel:
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems. CoRR abs/2307.03966 (2023) - 2022
- [c11]Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala:
Automatic Assessment of Quality of your Data for AI. COMAD/CODS 2022: 354-357 - [c10]Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-Équille, Abhijit Manatkar:
Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. KDD 2022: 4814-4815 - 2021
- [c9]Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala:
Data Quality for Machine Learning Tasks. KDD 2021: 4040-4041 - [c8]Hima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi:
2nd International Workshop on Data Quality Assessment for Machine Learning. KDD 2021: 4147-4148 - [c7]Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel:
1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) 2021: 117-120 - [c6]Shazia Afzal, Arunima Chaudhary, Nitin Gupta, Hima Patel, Carolina Spina, Dakuo Wang:
Data-Debugging Through Interactive Visual Explanations. PAKDD (Workshops) 2021: 133-142 - [c5]Lingraj S. Vannur, Balaji Ganesan, Lokesh Nagalapatti, Hima Patel, M. N. Tippeswamy:
Data Augmentation for Fairness in Personal Knowledge Base Population. PAKDD (Workshops) 2021: 143-152 - [c4]Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel:
Data Readiness Report. SMDS 2021: 42-51 - [i9]Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR abs/2108.05935 (2021) - 2020
- [c3]Nishtha Madaan, Mudit Saxena, Hima Patel, Sameep Mehta:
Feedback-Based Keyphrase Extraction from Unstructured Text Documents. COMSNETS 2020: 674-676 - [c2]Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala:
Overview and Importance of Data Quality for Machine Learning Tasks. KDD 2020: 3561-3562 - [i8]Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh, Hima Patel, Berthold Reinwald:
A Neural Architecture for Person Ontology population. CoRR abs/2001.08013 (2020) - [i7]Lingraj S. Vannur, Lokesh Nagalapatti, Balaji Ganesan, Hima Patel:
Data Augmentation for Personal Knowledge Graph Population. CoRR abs/2002.10943 (2020) - [i6]Balaji Ganesan, Gayatri Mishra, Srinivas Parkala, Neeraj R. Singh, Hima Patel, Somashekar Naganna:
Link Prediction using Graph Neural Networks for Master Data Management. CoRR abs/2003.04732 (2020) - [i5]Subhojeet Pramanik, Shashank Mujumdar, Hima Patel:
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning. CoRR abs/2009.14457 (2020) - [i4]Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel:
Data Readiness Report. CoRR abs/2010.07213 (2020) - [i3]Balaji Ganesan, Hima Patel, Sameep Mehta:
Explainable Link Prediction for Privacy-Preserving Contact Tracing. CoRR abs/2012.05516 (2020)
2010 – 2019
- 2014
- [c1]Hima Patel, Karthik S. Gurumoorthy, Sheshadri R. Thiruvenkadam:
Automatic Determination of Anatomical Correspondences for Multimodal Field of View Correction. GCPR 2014: 432-442 - [i2]Ramasubramanian Sundararajan, Hima Patel, Manisha Srivastava:
A multi-instance learning algorithm based on a stacked ensemble of lazy learners. CoRR abs/1407.2736 (2014) - [i1]Ramasubramanian Sundararajan, Hima Patel, Dattesh Shanbhag, Vivek Vaidya:
An SVM Based Approach for Cardiac View Planning. CoRR abs/1407.3026 (2014)
Coauthor Index
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