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A Novel Framework for Learning and Classifying the Imbalanced Multi-Label Data

P. K. A. Chitra1, S. Appavu alias Balamurugan2, S. Geetha3, Seifedine Kadry4,5,6, Jungeun Kim7,*, Keejun Han8

1 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Tiruchirappalli, Tamil Nadu, 603203, India
2 Department of Computer Science and Engineering, Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamil Nadu, 613403, India
3 School of Computer Science and Engineering, Chennai, Tamil Nadu, 600048, India
4 Department of Applied Data Science, Noroff University College, Kristiansand, 4612, Norway
5 Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, P.O. Box 346, Ajman, United Arab Emirates
6 Department of Electrical and Computer Engineering, Lebanese American University, Byblos, 10150, Lebanon
7 Department of Software, Kongju National University, Cheonan, 31080, Republic of Korea
8 Division of Computer Engineering, Hansung University, Seoul, 02876, Republic of Korea

* Corresponding Author: Jungeun Kim. Email: email

TSP_CSSE_34373.pdf

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