Class-Imbalanced Learning

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11 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

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LinguIUTics at PsyDefDetect: Iterative Imbalance-Aware Fine-tuning of Qwen3-8B for Psychological Defense Mechanism Classification
May 30, 2026Shefayat E Shams Adib, Ahmed Alfey Sani, Md Hasibur Rahman Alif +1Class-Imbalanced Learning Quantization-Aware LoRA
Department of Computer Science and Engineering, Islamic University of Technology, Dhaka, Bangladesh
Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
May 29, 2026Muhammad Khuram Shahzad, Haseeb Khan, Muhammad Masood Khan +1Class-Imbalanced Learning IoT Intrusion Detection
aSchool of Electrical Engineering and Computer Science (SEECS), NUST, H-12 Campus, Islamabad, Pakistan44000
DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning
May 28, 2026Hyuck Lee, Taemin Park, Heeyoung KimClass-Imbalanced Learning Long-Tail Learning
AI Research, Krafton, Teheran-ro 231, Centerfield EAST, Gangnam-gu, Seoul, 06142, Republic of Korea · Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
Stance Detection in Prediction Markets: Addressing Imbalanced Trader Commentary via Counterfactual Augmentation and Market Context
May 27, 2026Thomas MbriceClass-Imbalanced Learning Stance Detection
Department of Computer Science Stony Brook University
Decoding Stimulus Reconstruction-Based Auditory Attention Robustly in Unbalanced EEG Datasets
May 25, 2026Yuanming Zhang, Yayun Liang, Zhibin Lin +1Class-Imbalanced Learning Electroencephalography
Key Lab of Modern Acoustics, Nanjing University, Nanjing 210093, China · NJU-Horizon Intelligent Audio Lab, Horizon Robotics, Beijing 100094, China
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures
May 24, 2026Hanzala Afzaal, Danish Memon, Chouhdary Bilal Raza +1Class-Imbalanced Learning Network Intrusion Detection
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan
On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight
May 24, 2026Ismail B. Mustapha, Shafaatunnur Hasan, Sunday O. Olatunji +1Class-Imbalanced Learning Neural Network Generalization
Faculty of Computing Universiti Teknologi Malaysia Johor, Malaysia · Faculty of Computing Adejkunle Ajasin University Akungba-Akoko, Nigeria
CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detection
May 22, 2026Hanadi Alhamdan, Ghadah Alosaimi, Amir Atapour-Abarghouei +1Class-Imbalanced Learning Convolutional RNNs
Department of Computer Science, Princess Nourah bint Abdulrahman University, Saudi Arabia · Department of Computer Science, Durham University, UK · Department of Computer Science, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia
Class-Dependent Hybrid Data Augmentation for Multiclass Migraine Classification under Severe Class Imbalance
May 22, 2026Elvin Somón, Miguel A. Gutiérrez-NaranjoClass-Imbalanced Learning Synthetic Data Augmentation
Department of Computer Science and Artificial Intelligence University of Seville, Seville, Spain
CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
May 22, 2026Mengke Li, Haiquan Ling, Lihao Chen +3Class-Imbalanced Learning Learning with Noisy Labels
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification
May 20, 2026Samuel McDowell, Nathan Stromberg, Lalitha SankarClass-Imbalanced Learning Tabular Classification
School of Electrical, Computer and Energy Engineering · Arizona State University, Tempe, AZ
Q-SYNTH: Hybrid Quantum-Classical Adversarial Augmentation for Imbalanced Fraud Detection
May 20, 2026Adam Innan, Mansour El Alami, Nouhaila Innan +2Class-Imbalanced Learning Synthetic Data Augmentation
Quantum Physics and Spintronics Team, LPMC, Faculty of Sciences Ben M’sick, Hassan II University of Casablanca, Morocco · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE
Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation
May 19, 2026Iason Skylitsis, Dimitrios Karkalousos, Ivana IšgumClass-Imbalanced Learning Image Segmentation
Department of Biomedical Engineering & Physics Amsterdam University Medical Center Amsterdam, The Netherlands · Informatics Institute, Faculty of Science University of Amsterdam Amsterdam, The Netherlands · Department of Radiology Mayo Clinic Rochester, United States
A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction
May 19, 2026Rui Huang, Lican HuangClass-Imbalanced Learning Interpretable ML
School of Basic Medicine, Hangzhou Normal University, No.2318, Yuhangtang Rd, Yuhang District, Hangzhou, 311121, Zhejiang, China. · Research Department, Hangzhou Domain Zones Technology Co.Ltd.,2026 200 Zhenhua Rd, West District, Hangzhou, 310030, Zhejiang, China.
Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models
May 18, 2026Aditya Tanna, Mitul Solanki, Mohamed Bouadi +3Class-Imbalanced Learning Tabular Foundation Models
Lexsi Labs
Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
May 18, 2026Anh B. H. Nguyen, Ba Tho Phan, Viet Cuong TaClass-Imbalanced Learning Long-Tail Learning
VNU University of Engineering and Technology, Hanoi, Vietnam
On Applicability of Synthetic Datasets for Facial Expression Recognition
May 17, 2026Ali Azmoudeh, Erdi Sarıtaş, Ömer Yıldırım +1Class-Imbalanced Learning Synthetic Data Generation
Department of Computer Engineering, Istanbul Technical University, Istanbul, Türkiye · Department of Informatics, University of Zurich, Zurich, Switzerland · Division of Engineering, NYU Abu Dhabi, Abu Dhabi, UAE
Can Large Language Models Imitate Human Speech for Clinical Assessment? LLM-Driven Data Augmentation for Cognitive Score Prediction
May 15, 2026Si-Belkacem Yamine Ketir, Lenard Paulo Tamayo, Shohei Hisada +3Class-Imbalanced Learning Synthetic Data Augmentation
Télécom SudParis, France · Nara Institute of Science and Technology, Japan
Novel Dynamic Batch-Sensitive Adam Optimiser for Vehicular Accident Injury Severity Prediction
May 14, 2026Daniel Asare Kyei, Alimatu Saadia-Yussiff, Maame G. Asante-Mensah +3Class-Imbalanced Learning Deep Learning Optimization
Department of Computer Science and Information Technology, University of Cape Coast, Cape Coast, Ghana
TILBench: A Systematic Benchmark for Tabular Imbalanced Learning Across Data Regimes
May 14, 2026Ruizhe Liu, Jiaqi LuoClass-Imbalanced Learning Tabular Classification
School of Mathematical Sciences, Soochow University, No.1 Shizi Street, Suzhou, 215006, Jiangsu Province, China
Focused PU learning from imbalanced data
May 14, 2026Elias Zavitsanos, Georgios PaliourasClass-Imbalanced Learning Binary Classification
Institute of Informatics and Telecommunications, NCSR “Demokritos”, Patriarhou Gregoriou E and 27 Neapoleos St., Agia Paraskevi, 15310, Attica, Greece.
A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
May 13, 2026Jiandong Chen, Lingjie Su, Le Peng +3Class-Imbalanced Learning Binary Classification
Institute for Health Informatics, University of Minnesota, Minneapolis, MN · Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN · School of Statistics, University of Minnesota, Minneapolis, MN +1
Comparative Evaluation of Machine Learning Approaches for Minority-Class Financial Distress Prediction Under Class Imbalance Constraints
May 13, 2026Karan Sehgal, Khawar Naveed BhattiClass-Imbalanced Learning Gradient-Boosted Decision Trees
Kent Business School
Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation
May 13, 2026Lilin Zhang, Yimo Guo, Yue Li +2Adversarial Training Class-Imbalanced Learning
1Sichuan University · 2Dongfang Electric (Chengdu) Innovation Research Co., Ltd. · 3Southwest China Research Institute of Electronic Equipment
Few-Shot Synthetic Data Generation with Diffusion Models for Downstream Vision Tasks
May 12, 2026Daniil Dushenev, Nazariy Karpov, Daniil Zinovjev +2Class-Imbalanced Learning Synthetic Data Augmentation
National University of Science and Technology MISIS, Moscow, Russia
OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness
May 12, 2026Amanda S BarnardClass-Imbalanced Learning Synthetic Data Augmentation
School of Computing Australian National University Acton, ACT 2601
Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets
May 11, 2026Thuan Nguyen, Shuchin Aeron, D. Richard Brown +1Class-Imbalanced Learning Contrastive Learning
Department of Engineering, Engineering Technology East Tennessee State University · Department of Electrical and Computer Engineering Tufts University · Department of Electrical and Computer Engineering Worcester Polytechnic Institute +1
V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy Prediction
May 11, 2026Marcin Kostrzewa, Sebastian Tomczak, Roman Furman +5Class-Imbalanced Learning Tabular Foundation Models
Department of Artificial Intelligence, Wrocław University of Science and Technology, Poland · Opera, Wrocław, Poland · Tooploox, Wrocław, Poland
Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
May 11, 2026Heegeon Yoon, Heeyoung KimClass-Imbalanced Learning Long-Tailed Classification
Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection
May 11, 2026Yuteng Zhang, Huifang Ma, Jiahui Wei +2Class-Imbalanced Learning Software Vulnerability Detection
College of Artificial Intelligence and Computer Science, Northwest Normal University, Lanzhou 730070, China

May 30, 2026, cs.CLJ/K move · Enter open · S save

LinguIUTics at PsyDefDetect: Iterative Imbalance-Aware Fine-tuning of Qwen3-8B for Psychological Defense Mechanism Classification

Shefayat E Shams Adib, Ahmed Alfey Sani, Md Hasibur Rahman Alif, Ajwad Abrar

Department of Computer Science and Engineering, Islamic University of Technology, Dhaka, Bangladesh

Class-Imbalanced Learning Quantization-Aware LoRA Language Model Post-Training Clinical NLP

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Detecting psychological defense mechanisms in conversational text remains a challenging clinical NLP problem. For the PsyDefDetect 2026 shared task (nine-class utterance classification evaluated via macro F1), our team LinguIUTics achieves a macro F1-score of 0.3917 on the official positive-class leaderboard, ranking 4th out of 21 registered teams and improving over the Ministral-8B task baseline (31.48 macro F1) by 7.7 absolute points (24.4 percent relative). BERT-family encoders and zero-shot LLMs proved ineffective on rare classes due to severe class imbalance, leading us to QLoRA fine-tuning of Qwen3-8B. We leverage three key strategies: grouped stratified cross-validation (preventing leakage), minority-class round-robin lexical augmentation, and a post-processing pipeline with logit bias tuning and ensemble blending. Together, these components close much of the validation-to-leaderboard gap and substantially improve minority-class recall, driving the critical "Unclear" class (Level 8) from near-zero performance to an F1 score of 0.797.

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