Machine Learning Approaches to Predict the Teams for Fantasy Leagues-Reference-Cited by-同舟云学术

Machine Learning Approaches to Predict the Teams for Fantasy Leagues

Published:2023-11-06 Issue: Volume: Page:
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Container-title:2023 International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS)
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Author:

Chauhan Shweta¹^ORCID,Kumar Rahul²,Kumar Bibek³

Affiliation:

1. Apex Institute of Technology (CSE), University Centre for Research and Development, Chandigarh University,Mohali,India,140413

2. Malla Reddy Engineering College (MREC),Department of Electronics and Communication Engineering,Hyderabad,India

3. Vishveshwarya Group of Institutions,Greater Noida Phase ii,India,203207

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366519/10366522/10367068.pdf?arnumber=10367068

Reference11 articles.

1. Machine learning-based team selection system for fantasy cricket;Sharma,2018

2. A machine learning approach for predicting the performance of cricket players in T20 matches;Singh;Journal of Ambient Intelligence and Humanized Computing,2021

3. Predicting cricket match outcome using machine learning techniques;Chakraborty;IEEE Access,2021

4. A machine learning approach for predicting player performance in cricket;Sivakumar,2020

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