Leaderboards/Imbalanced Data Classification Techniques

Imbalanced Data Classification Techniques

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Hwanjun Song
Korea Advanced Institute of Science and Technology
2
Tlamelo Emmanuel
Botswana Accountancy College
3
Emmanuel Ileberi
University of Johannesburg
4
Damien Dablain
University of Notre Dame
5
Noah Hollmann
University of Freiburg
6
Vinícius G. Costa
Universidade Federal do Rio de Janeiro
7
Jobeda J Khanam
Farmingdale State College
8
Md. Mamun Ali
Daffodil International University
9
Saloni Kumari
Motilal Nehru National Institute of Technology
10
Junbo Jacob Lian
Zhejiang A & F University

Rising Stars Papers

1
Accurate predictions on small data with a tabular foundation model
Nature|2025
636 cit.
2
Parrot optimizer: Algorithm and applications to medical problems
Computers in Biology and Medicine|2024
425 cit.
3
The educational competition optimizer
International Journal of Systems Science|2024
111 cit.
4
A Hybrid Deep Learning Ensemble Model for Credit Card Fraud Detection
IEEE Access|2024
33 cit.
5
FineSurE: Fine-grained Summarization Evaluation using LLMs
Unknown Journal|2024
23 cit.
6
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
Proceedings of the AAAI Conference on Artificial Intelligence|2024
20 cit.
7
Prompt-guided DETR with RoI-pruned masked attention for open-vocabulary object detection
Pattern Recognition|2024
18 cit.
8
Advancing Model Performance With ADASYN and Recurrent Feature Elimination and Cross-Validation in Machine Learning-Assisted Credit Card Fraud Detection: A Comparative Analysis
IEEE Access|2024
15 cit.
9
Trend-Aware Mechanism for Metaheuristic Algorithms
Applied Soft Computing|2025
15 cit.
10
Towards a holistic view of bias in machine learning: bridging algorithmic fairness and imbalanced learning
Discover Data|2024
13 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Naipeng Li
Chinese Academy of Sciences
2
Rosie Yuyan Zou
University of Waterloo
3
Mohammed Elanbari
Sidra Medical and Research Center
4
Felix Last
Intel (Germany)
5
Ana de las Heras
Empresarios Agrupados
6
Richard A. Bauder
Florida Atlantic University
7
Po-Yang Yeh
National Cheng Kung University
8
Oteng Tabona
Botswana International University of Science and Technology
9
Hua Tang
Southwest Medical University
10
Amanda H. Gonsalves
Manukau Institute of Technology

Emerging Leaders Papers

1
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
Expert Systems with Applications|2023
111 cit.
2
A nonparametric degradation modeling method for remaining useful life prediction with fragment data
Reliability Engineering & System Safety|2024
52 cit.
3
Integrated bulk and single-cell transcriptomes reveal pyroptotic signature in prognosis and therapeutic options of hepatocellular carcinoma by combining deep learning
Briefings in Bioinformatics|2023
41 cit.
4
Remaining useful life prediction of lithium-ion battery with nonparametric degradation modeling and incomplete data
Reliability Engineering & System Safety|2024
37 cit.
5
Graph Continual Learning Network: An Incremental Intelligent Diagnosis Method of Machines for New Fault Detection
IEEE Transactions on Automation Science and Engineering|2024
34 cit.
6
Rigid-flexible coupled modeling of compound multistage gear system considering flexibility of shaft and gear elastic deformation
Mechanical Systems and Signal Processing|2023
33 cit.
7
Machinery Health Prognostics With Multimodel Fusion Degradation Modeling
IEEE Transactions on Industrial Electronics|2022
31 cit.
8
A Wiener-process-inspired semi-stochastic filtering approach for prognostics
Reliability Engineering & System Safety|2024
30 cit.
9
A new nonparametric degradation modeling method for truncated degradation signals by axis rotation
Mechanical Systems and Signal Processing|2023
23 cit.
10
SAGESDA: Multi-GraphSAGE networks for predicting SnoRNA-disease associations
Current Research in Structural Biology|2023
21 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Francisco Herrera
Universidad de Granada
2
Robert E. Schapire
AT&T (United States)
3
Tie‐Yan Liu
Microsoft Research Asia (China)
4
George H. John
Epiphany Biosciences (United States)
5
Giuseppe Jurman
Humanitas University
6
Taghi M. Khoshgoftaar
Florida Atlantic University
7
Robert Tibshirani
Stanford University
8
Yoram Singer
Greenwich Hospital
9
Marc Rehmsmeier
Humboldt-Universität zu Berlin
10
Shutao Li
Centre for Artificial Intelligence and Robotics

Current Senior Leaders Papers

1
Regression Shrinkage and Selection Via the Lasso
Journal of the Royal Statistical Society Series B (Statistical Methodology)|1996
51.8k cit.
2
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
Journal of Computer and System Sciences|1997
20.3k cit.
3
Maximum entropy modeling of species geographic distributions
Ecological Modelling|2005
17.7k cit.
4
Regularization Paths for Generalized Linear Models via Coordinate Descent
Journal of Statistical Software|2010
17.1k cit.
5
A survey on Image Data Augmentation for Deep Learning
Journal Of Big Data|2019
12.4k cit.
6
Statistical significance for genomewide studies
Proceedings of the National Academy of Sciences|2003
10.1k cit.
7
Least angle regression
The Annals of Statistics|2004
9.5k cit.
8
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
HAL (Le Centre pour la Communication Scientifique Directe)|2017
9.5k cit.
9
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Information Fusion|2019
9k cit.
10
Wrappers for feature subset selection
Artificial Intelligence|1997
8.9k cit.

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