Accepted Papers

Research Track

Full Papers

  • Semantic Annotation of Relational Schemas Using a Probabilistic Generative Model

    Debayan Mukherjee (TCS Innovation Labs), Atreya Bandyopadhyay (TCS Innovation Labs), Soham Datta (TCS Innovation Labs) and Indrajit Bhattacharya (TCS Innovation Labs)

  • Consent Service Architecture for Policy-Based Consent Management in Data Trusts

    Balambiga Ayappane (IIIT Bangalore), Rohith Vaidyanathan (IIIT Bangalore), Srinath Srinivasa (IIIT Bangalore), Santosh Kumar Upadhyaya (IIIT Bangalore) and Srinivas Vivek (IIIT Bangalore)

  • Practical First-Order Bayesian Optimization Algorithms

    Utkarsh Prakash (IIT Dharwad), Aryan Chollera (IIT Dharwad), Kushagra Khatwani (IIT Dharwad), Prabuchandran K J (IIT Dharwad) and Tejas Bodas (IIIT Hyderabad)

  • Hybrid Materialization in a Disk-Based Column-Store

    Evgeniy Klyuchikov (Saint-Petersburg University, Russia), Michael Polyntsov (Saint-Petersburg University, Russia), Anton Chizhov (Saint-Petersburg University, Russia), Elena Mikhailova (Saint-Petersburg University, Russia) and George Chernishev (Saint-Petersburg University, Russia)

  • Guiding Offline Reinforcement Learning Using a Safety Expert

    Richa Verma (TCS Research), Durgesh Kalwar (TCS Research), Harshad Khadilkar (TCS Research)and Balaraman Ravindran (IIT Madras)

  • SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics

    Vidhya Kamakshi (IIT Ropar) and Narayanan C Krishnan (IIT Palakkad)

  • Preference-Aware Constrained Multi-Objective Bayesian Optimization

    Alaleh Ahmadianshalchi (Washington State University), Syrine Belakaria (Washington State University) and Janardhan Rao Doppa (Washington State University)

  • DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents

    Satheesh Kumar Perepu (Ericsson), Kaushik Dey (Ericsson) and Abir Das (IITKharagpur)

  • SGD-MLP: Structure Generation and Distillation using a graph free MLP

    Sanjay Kumar Patnala (Mastercard AI Garage), Sumedh B G (Mastercard AI Garage), Akshay Sethi (Mastercard AI Garage), Sonia Gupta (Mastercard AI Garage) and Siddhartha Asthana (Mastercard AI Garage)

  • Interpretable Model Drift Detection

    Pranoy Panda (IIT Hyderabad), Sai Srinivas Kancheti (IIT Hyderabad), Vineeth N. Balasubramanian (IIT Hyderabad) and Gaurav Sinha (IIT Hyderabad)

  • Analysing the Spread of Toxicity on Twitter

    Aatman Vaidya (Ahmedabad University), Seema Nagar (IBM Research) and Amit A. Nanavati (Ahmedabad University)

  • Predicting Business Process Events in Presence of Anomalous IT Events

    Avani Gupta (IIIT Hyderabad), AvirupSaha (IBM Research), Sambit Ghosh (IBM Research), NeelamadhavGantayat (IBM Research) and Renuka Sindhgatta (IBM Research)

  • Cost-Sensitive Trees for Interpretable Reinforcement Learning

    Siddharth Nishtala (IIT Madras) and BalaramanRavindran (IIT Madras)

  • Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events

    Santhosh B. Gandreti (IISc Bangalore), Ibrahim A. (SDATA) and Sastry P. S. (IISc Bangalore)

  • Model-based Safe Reinforcement Learning using Variable Horizon Rollouts

    Shourya Gupta(IIT Ropar) Utkarsh Suryaman (IIT Ropar), Rahul Narava (IIT Ropar) and Shashi ShekharJha (IIT Ropar)

  • HaVAT: Automatic Cluster Structure Assessment in Unlabeled data

    Krishna Murthy Pagadala (IISc Bangalore) and Punit Rathore (IISc Bangalore)

  • A Closer look at Consistency Regularization for Semi-Supervised Learning

    Soumyadeep Ghosh (Mastercard), Sanjay Kumar (Mastercard), Awanish Kumar (Mastercard) and Janu Verma (Mastercard)

  • Robust Shape-regularized Non-negative Matrix Factorization for Real-time Source Apportionment

    Manjyot Singh Nanra (IIT Kanpur), Sharanya Saha (IIT Kanpur), Ashutosh Kumar Shukla (IIT Kanpur), Sachchida Nand Tripathi (IIT Kanpur) and Purushottam Kar (IIT Kanpur)

  • VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information

    Shubhangi Agarwal (IIT Kanpur), Sourav Dutta (Huawei Research) and Arnab Bhattacharya (IIT Kanpur)

  • A Comprehensive Analysis of Adapter Efficiency

    Nandini Mundra (IIT Madras), Sumanth Doddapaneni (IIT Madras), Raj Dabre (National Institute of Information and Communications Technology), Anoop Kunchukuttan (Microsoft), Ratish Puduppully (Institute for Infocomm Research I2R, A*STAR, Singapore) and Mitesh M. Khapra (IIT Madras)

  • Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives

    Shubham Gupta (IIT Delhi) and Srikanta Bedathur (IIT Delhi)

Short Papers

  • Joint Class Learning with Self Similarity Projection for EEG Emotion Recognition

    Upasana Tiwari (TCS Research), Rupayan Chakraborty (TCS Research) and Sunil Kumar Kopparapu (TCS Research)

  • Optimal Query Plans for Geo-distributed Data Analytics at Scale

    Ahana Pradhan (IISc Bangalore), Srinivas Karthik Venkatesh (Independent) and Raghunandan S. (Independent)

  • Cooking INWild: Unleashing the Challenges of Indian Cuisine Cooking Videos for Action Recognition

    Sandeep Khanna (IIT Jodhpur), Shreya Goyal (American Express), Chiranjoy Chattopadhyay (FLAME University, Pune) and SumanKundu (IIT Jodhpur)

  • Tabular Data Synthesis with GANs for Adaptive AI Models

    Sandeep Hans (IBM Research), Anupam Sanghi (IBM Research) and Diptikalyan Saha (IBM Research)

  • Improved Representations using Augmented Graphs

    Gagan Gupta (IIT Bhilai), Soumajit Pramanik (IIT Bhilai), Milind Thummala (IIT Bhilai) and Anirban Haldar (IIT Bhilai)

  • BLINK\textsubscript{LSTM}: Bio Link BERT and LSTM based approach for extraction of PICO frame from Clinical Trial Text

    Madhusudan Ghosh (Indian Association for the Cultivation of Science), Shrimon Mukherjee (Indian Association for the Cultivation of Science), Payel Santra (Indian Association for the Cultivation of Science), Girish Na (Indian Association for the Cultivation of Science) and Partha Basuchowdhuri (Indian Association for the Cultivation of Science)

  • HierTGAN: Hierarchical Time Series Generation

    Srini Rohan GujullaLeel (IIT-BHU), Vikrant Dey (Mastercard), Puspita Majumdar (Mastercard) and Ankit Khairkar (Mastercard)

  • Document structure aware Relation Extraction for Semantic Automation

    Ayush Kumar (RVCE Bangalore), Abhay M Shalghar (RVCE Bangalore), Harsh Chauhan (IITRoorkee), BalajiGanesan (IBM Research), Ritwik Chaudhuri (IBM Research) and Aswin Kannan (Humboldt University of Berlin)

  • CGFLasso: Combating Multicollinearity using Domain Knowledge

    Soumya Sarkar (IIT Ropar), Nitin Singhal (IIT Ropar), Shweta Jain (IIT Ropar) and Shashi S. Jha (IIT Ropar)

  • Batch Sampling for Experience Replay

    Andrii Krutsylo (Institute of Computer Science Polish Academy of Sciences)

  • Deep dive into language traits of AI-generated Abstracts

    Vikas Kumar (University of Delhi), Amisha Bharti (University of Delhi), Devanshu Verma (University of Delhi) and Vasudha Bhatnagar (University of Delhi)

Applied Data Science Track

Full Papers

  • A TLBO Based Bagging Approach for Effective Disease Diagnosis

    Srinivas Arukonda (NIT Warangal) and Ramalingaswamy Cheruku (NIT Warangal)

  • Better Graph Embeddings for Enterprise Graphs

    Rajeev Gupta (Microsoft), Madhusudhanan Krishnamoorthy (Microsoft) and Vipindeep Vangala (Microsoft)

  • An Approach for Speech Enhancement in Low SNR Environments using Granular Speaker Embedding

    Jayasree Saha (IIIT Hyderabad), Rudrabha Mukhopadhyaya (IIIT Hyderabad), Aparna Nitin Agrawal (IIIT Hyderabad), Surabhi Jain (IIIT Hyderabad) and C. V. Jawahar (IIIT Hyderabad)

  • Real-time eye tracking using representation learning and regression

    DharbaneshwerSj (Entropik Technologies Pvt. Ltd.), GayathriSowmya G (Entropik Technologies Pvt. Ltd.), Sumit Singh Chauhan (Entropik Technologies Pvt. Ltd.), Bharat Singh Shekhawat (Entropik Technologies Pvt. Ltd.), Lava Kumar (Entropik Technologies Pvt. Ltd.) and Soumitra Ghosh (Entropik Technologies Pvt. Ltd.)

  • Cell Tower Localisation using Graph Convolutional Networks and Positional Encoding

    Jyotirmoy Banerjee (Ericsson), Sanchit Goel (Ericsson), Sumit Soman (Ericsson), Roopesh Mangal (Ericsson) and Sunil Kumar Vuppala (Ericsson)

  • Google Search in India: Unveiling the Geo-Personalized Web

    Naman Jain (LNMIIT Jaipur), Pranav Chatur (LNMIIT Jaipur), Ayush Kumar Dhoot (LNMIIT Jaipur), Varun Trivedi (LNMIIT Jaipur) and Sakthi Balan Muthiah (LNMIIT Jaipur)

  • Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply

    Ajay Narayanan (TCS Research), Srinarayana Nagarathinam (TCS Research), Prasant Misra (TCS Research) and Arunchandar Vasan (TCS Research)

  • A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce

    Omkar Shelke (TCS Research), Pranavi Pathakota (TCS Research), Anandsingh Chauhan (TCS Research), Hardik Meisheri (TCS Research), Harshad Khadilkar (TCS Research) and BalaramanRavindran (IIT Madras)

  • Forecasting the Impact of Anomalous Events on Business Process Performance

    Avirup Saha (IBM Research), Sambit Ghosh (IBM Research), Neelamadhav Gantayat (IBM Research) and Renuka Sindhgatta (IBM Research)

  • New User Product Recommendation for Q-commerce via Hierarchical Cross-Domain Learning

    Bhavi Chawla (Swiggy), Shubha Shedthikere (Swiggy) and Jairaj Sathyanarayana (Swiggy)

  • Towards Business Process Observability

    Avirup Saha (IBM Research), Prerna Agarwal (IBM Research), Sambit Ghosh (IBM Research), Neelamadhav Gantayat (IBM Research) and Renuka Sindhgatta (IBM Research)


    Prakanshul Saxena (IITBhilai), Gagan Gupta (IITBhilai) and Madhur Bhattad (IITBhilai)

  • Contextual Bandits for Markdown Pricing in E-commerce

    Uma Maheswari G (TCS Research), Srividhya Sethuraman (TCS Research) and Sharadha Ramanan (TCS Research)

  • Short-Term Fog Forecasting using Meteorological Observations at Airports in North India

    Shruti Sharma(IIT Kanpur) Kriti Bajaj (IIT Kanpur), Prasad Deshpande (IIT Kanpur), Arnab Bhattacharya (IIT Kanpur)and Shivam Tripathi (IIT Kanpur)

  • NanoBERT: An Extremely Compact Language Model

    Krishanu Maity (Samsung R&D), Amit Tulsidas Chaulwar (Samsung R&D), Vanraj Vala (Samsung R&D)and Ravi Sankar Guntur (Samsung R&D)

  • BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models

    Arnab Chakraborty (Intuit AI), Vikas Raturi (Intuit AI) and Shrutendra Harsola (Intuit AI)

  • ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform

    Pulkit Agrawal (Games24x7), Aditya Pareek (Games24x7), Rukma Talwadker (Games24x7) and Tridib Mukherjee (Games24x7)

  • Multiforecast-based Early Anomaly Detection for Spacecraft Health Monitoring

    Prajjwal Yash (ISRO), Sharvari Gundawar (ISRO), Nitish Kumar (ISRO), Uma B R (ISRO), Krishna Priya G (ISRO) and Purushottam Kar (IIT Kanpur)

  • A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model

    Ayush Jain (IBM Research), Manikandan Padmanaban (IBM Research), Jagabondhu Hazra (IBM Research), Shantanu Godbole (IBM Research) and Kommy Weldemariam (IBM Research)

  • GIMNet: Assembly Plan Generation from Graphical Instruction Manual

    Abhinav Upadhyay (Accenture Labs), Alpana Dubey (Accenture Labs) and Suma Mani Kuriakose (Accenture Labs)

  • Domain2Vec: Identifying User Affinities using Domain Embeddings

    Nirmal Singhania(Airtel Digital), Simant Kumar (Airtel Digital), Surya Teja Tunuguntla (Airtel Digital), Alok Mathur (Airtel Digital) and Abhishek Singh (Airtel Digital)

Short Papers

  • Improving search relevance in a hyperlocal food delivery using language models

    Aditya Kiran Brahma (Bundl Technologies Pvt. Ltd), Srinivas Nagamalla (Bundl Technologies Pvt. Ltd), Jose Mathew (Bundl Technologies Pvt. Ltd) and Jairaj Sathyanarayana (Bundl Technologies Pvt. Ltd)

  • Enhancing EEG-based Motor Imagery Decoding with LSTM for BCIs for Stroke Rehabilitation

    Saher Soni (IIT Gandhinagar), Shivam Chaudhary (IIT Gandhinagar) and Krishna Prasad Miyapuram (IIT Gandhinagar)

  • Speeding up LIME using Attention Weights

    Sudarsun Santhiappan (BUDDI AI), Mukesh Kumar Reghu (BUDDI AI), Mahendran Saminathan (BUDDI AI) and Aakash Veerappan (BUDDI AI)

  • Comparative Analysis of Transformers for Modeling Tabular

    Usneek Singh (BITS Pilani), Piyush Arora (American Express AI Labs), Shamika Ganesan (American Express AI Labs), Mohit Kumar (American Express AI Labs), Siddhant Kulkarni (American Express AI Labs) and Salil Rajeev Joshi (American Express AI Labs)

  • Expertise Identification Using Transformers

    Sreekanth T M (Bhabha Atomic Research Center, Mumbai), Ajith K John (Bhabha Atomic Research Center, Mumbai), Rohitashva Sharma (Bhabha Atomic Research Center, Mumbai), Prathamesh Berde (Bhabha Atomic Research Center, Mumbai) and C S R C Murthy (Bhabha Atomic Research Center, Mumbai)

  • Utilizing DevNet with Variational Loss for Fraud Detection in Hyperlocal Food Delivery

    Piyush Nikam (Swiggy), Rutvik Vijjali (Swiggy), Shaik Masihullah (Swiggy), Meghana Negi (Swiggy) and Jose Matthew (Swiggy)

  • BARGAIN: A Super-Resolution Technique to Gain High-Resolution Images for Barcodes

    Saptarshi Misra (Walmart Global Tech), Kunal Banerjee (Walmart Global Tech) and Anirban Chatterjee (Walmart Global Tech)

  • Multimodal Sentiment Analysis of Social Media Content and Its Impact on Mental Wellbeing: An Investigation of Extreme Sentiments

    Rushil Thareja (Extramarks Education)

  • NMNet: Spatial-Temporal Transformer for EEG Signal Analysis in Neuromarketing

    Abhinav Upadhyay (Accenture Labs), Alpana Dubey (Accenture Labs), Piyush Goenka (Accenture Labs) and Suma Mani Kuriakose (Accenture Labs)


  • TASCA : Tool for Automatic SCalable Acceleration of ML pipelines

    Archisman Bhowmick (Tata Consultancy Services), Mayank Mishra (Tata Consultancy Services) and RekhaSinghal (Tata Consultancy Services)

  • IndicOCR: A Pipeline for Recognizing Printed Documents for Indian Languages

    Krishna Tulsyan (IIIT Hyderabad), Tessy Flemin (IIIT Hyderabad), Ajoy Mondal (IIIT Hyderabad) and C V Jawahar (IIIT Hyderabad)

  • A city-agnostic framework to determine optimal location and sizing of electric vehicle charge stations

    Ajay Narayanan (JIO AI Center of Excellence), Rahul Nair (JIO AI Center of Excellence) and Kedar Kulkarni (JIOAI Center of Excellence)

  • Navigator: A Gen-AI System for Discovery of Factual and Predictive Insights on Domain-Specific Tabular Datasets

    Arnab Chakraborty (Intuit AI), Arkadeep Banerjee (Intuit AI), Sutanoy Dasgupta (Intuit AI), Vikas Raturi (Intuit AI), Aditya Soni (Intuit AI), Anjali Gupta (Intuit AI), Shrutendra Harsola (Intuit AI) and Vignesh Subrahmaniam (Intuit AI)

  • STRCUBE - An architecture and Reference Implementation for Streaming Star Schema

    Chandrashekar Ramanathan (IIIT Bangalore) and Boppana Venkatesh (IIIT Bangalore)

  • Text2Illustration: Sampling and Composing Creatives With Text

    Geethu Miriam Jacob (Rakuten Group Inc.), Sagar Sahu (Rakuten Group Inc.), Chisato Ito (Rakuten Group Inc.), Masashi Kawamura (Rakuten Group Inc.) and Bjorn Stenger (Rakuten Group Inc.)

  • CIGMA: Automated 3D House Layout Generation through Generative Models

    AbhinavUpadhyay (Accenture Labs, Bangalore), Alpana Dubey (Accenture Labs, Bangalore), Nitish Bhardwaj (Accenture Labs, Bangalore), Suma Mani Kuriakose (Accenture Labs, Bangalore) and Ramakrishnan Mohan (Accenture Labs, Bangalore)

  • ULTRA: Exploring Team Recommendations in Two Geographies Using Open Data in Response to Call for Proposals

    Siva Likitha Valluru (University of South Carolina), Michael Widener (Boston College), Biplav Srivastava (University of South Carolina) and Sugata Gangopadhyay (IITRoorkee)

  • Knowledge Management Framework Over Low Resource Indian Colloquial Language Audio Contents

    Sharath Srivatsa (IIIT Bangalore), Aparna M (IIIT Bangalore), Sai Madhavan G (IIIT Bangalore) and Srinath Srinivasa (IIIT Bangalore)

  • RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain

    Venkatesh C (, Harshit Oberoi (, Anil Goyal ( and Nikhil Sikka (

  • Demo of LiFE: A web app for collection, management and annotation of linguistic data

    Siddharth Singh (Dr. BhimraoAmbedkar University), Shyam Ratan (University of Hyderabad), NeeravMathur (Dr. Bhimrao Ambedkar University) and Ritesh Kumar (UnReaL-TecE LLP)

Young Researchers’ Symposium

  • Electronic Tongue based Classification of Mineral Water Samples using Gramian Angular Field and Deep SAE

    Seshu Damarla (University of Alberta, Edmonton, Canada)

  • Information spread in opinionated social networks

    Amartya Chakraborty (Jadavpur University) and Nandini Mukherjee (Jadavpur University)

  • Online Algorithm for Clustering with Capacity Constraints

    Shivam Gupta (IIT Ropar), Shweta Jain (IIT Ropar), Narayanan C. Krishnan (IIT Palakkad), Ganesh Ghalme (IIT Hyderabad) and Nandyala Hemachandra (IIT Bombay)

  • Fair and efficient route recommendation system for ridesharing platforms

    Aqsa Ashraf Makhdomi (NIT Srinagar) and Iqra Altaf Gillani (NIT Srinagar)

  • CiteDEK: A hybrid EMD-KNN-DTW model for classification of paper citation trajectories

    Joyita Chakraborty (NIT Durgapur), Biswajit Maity (NIT Durgapur), Dinesh K. Pradhan (Dr. B. C. Roy Engineering College) and Subrata Nandi (NIT Durgapur)

  • Act2Code: Generating Sequential Robotic Instructions from Video Demonstration

    Gautam Reddy (IIIT-Delhi), Abhinav Upadhyay (Accenture Labs, Bangalore), Alpana Dubey (Accenture Labs, Bangalore), Shubhashis Sengupta (Accenture Labs, Bangalore) and Piyush Goenka (Accenture Labs, Bangalore)

  • TBCELF: Temporal Budget-Aware Influence Maximization

    Aaqib Zahoor (NIT Srinagar), Iqra Altaf Gillani (NIT Srinagar) and Janibul Bashir (NIT Srinagar)

  • Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection

    Nidhi Ahlawat (IIT Guwahati) and Amit Awekar (IIT Guwahati)

  • Enhancing Region-Based Geometric Embedding for Gene-Disease Associations

    Aniket Mitra (IIIT Bangalore) and Vinu Venugopal (IIIT Bangalore)

  • Union of Convex Separators (UCS)

    Amit Prasad (IIT Delhi), Rahul Garg (IIT Delhi) and Yogish Sabharwal (IIT Delhi)

  • CNN and MLR based Multifunction Sensor Development using Piezo-resistive Element

    Seshu Damarla (University of Alberta, Edmonton, Canada) and Palash Kundu (Jadavpur University)

  • An Ontology to Capture Contextual Information to Facilitate Ethical Decision-making in AI Systems

    Aisha Aijaz (IIIT-Delhi), Raghava Mutharaju (IIIT-Delhi), Manohar Kumar (IIIT-Delhi), Omkar Chattar (IIIT-Delhi) and Jainendra Shukla (IIIT-Delhi)

  • L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models

    Aidin Shiri (University of Maryland Baltimore County), Kaushik Roy (AI Institute, University of South Carolina), Manas Gaur (University of Maryland Baltimore County) and Amit Sheth(AI Institute, University of South Carolina)

  • VPTDrone: Video Processing Toolkit for Smart Surveillance Drone

    Dwip Dalal (IIT Gandhinagar) and Anirban Dasgupta (IIT Gandhinagar)


    Zubair Shaban (IIIT-Delhi) and Ranjitha Prasad (IIIT-Delhi)

  • Federated Learning for Cold Start Recommendations

    Saikishore Kalloori (ETH Zurich)

  • Effect of dimensionality change on the bias of word embeddings

    Rohit Raj Rai (IIT Guwahati) and Amit Awekar (IIT Guwahati)

  • Text Representation Models based on the Spatial Distributional Properties of Word Embeddings

    Narendra BabuUnnam (IIIT Hyderabad), Krishna Reddy Polepalli (IIIT Hyderabad), Amit Pandey (IIIT Hyderabad) and Naresh Manwani (IIIT Hyderabad)

  • Exploiting Sparsity in Over-parameterized Federated Learning over Multiple Access Channels

    Gagandeep Kaur (IIIT-Delhi) and Ranjitha Prasad (IIIT-Delhi)

Data Science for Inclusivity Workshop

  • Innovating LegalAI: Advancing Indian Legal Text Classification through Data Augmentation

    Reshma Sheik (National Institute of Technology, Tiruchirapalli), S. Jaya Nirmala (National Institute of Technology, Tiruchirapalli)

  • Digital Empathy: Unraveling the Complexities of Compassion in a Technological World

    Pooja Sarin (IIT Delhi)

  • Optimizing Odia Braille Literacy: The Influence of Speed on Error Reduction and Enhanced Comprehension

    Monnie Parida (IIT Kharagpur), Manjira Sinha (TCS Research), Anupam Basu (IIT Kharagpur), Pabitra Mitra (IIT Kharagpur)

  • Improving Fairness of Machine Learning Algorithms: A comparative study of Aequitas and Fairlearn packages on real-world medical data

    Ankita Ashpilaya (Optum Global Advantage, United Health Group), Nikitha Chowdary Kurapati (Optum Global Advantage, United Health Group), Ramprasad Gaddam (Optum Global Advantage, United Health Group)