ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1508.03422
  4. Cited By
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
v1v2v3 (latest)

Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015
14 August 2015
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
ArXiv (abs)PDFHTML

Papers citing "Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data"

50 / 223 papers shown
pFedBBN: A Personalized Federated Test-Time Adaptation with Balanced Batch Normalization for Class-Imbalanced Data
pFedBBN: A Personalized Federated Test-Time Adaptation with Balanced Batch Normalization for Class-Imbalanced Data
Md Akil Raihan Iftee
Syed Md. Ahnaf Hasan
Mir Sazzat Hossain
Rakibul Hasan Rajib
Amin Ahsan Ali
A. Rahman
Sajib Mistry
Monowar Bhuyan
FedML
314
0
0
22 Nov 2025
Cost-Sensitive Unbiased Risk Estimation for Multi-Class Positive-Unlabeled Learning
Cost-Sensitive Unbiased Risk Estimation for Multi-Class Positive-Unlabeled Learning
Miao Zhang
Junpeng Li
Changchun Hua
Yana Yang
134
0
0
29 Oct 2025
Aligned Contrastive Loss for Long-Tailed Recognition
Aligned Contrastive Loss for Long-Tailed Recognition
Jiali Ma
Jiequan Cui
Maeno Kazuki
Lakshmi Subramanian
Karlekar Jayashree
Sugiri Pranata
Hanwang Zhang
277
0
0
01 Jun 2025
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Han Li
Hu Han
S.Kevin Zhou
332
0
0
24 May 2025
Multi-modal wound classification using wound image and location by Xception and Gaussian Mixture Recurrent Neural Network (GMRNN)
Multi-modal wound classification using wound image and location by Xception and Gaussian Mixture Recurrent Neural Network (GMRNN)
Ramin Mousa
Ehsan Matbooe
Hakimeh Khojasteh
Amirali Bengari
Mohammadmahdi Vahediahmar
382
4
0
12 May 2025
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control
Sajjad Rezvani Boroujeni
Hossein Abedi
Tom Bush
407
0
0
06 May 2025
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
Vishal Thengane
Jean Lahoud
Hisham Cholakkal
Rao Muhammad Anwer
L. Yin
Xiatian Zhu
Salman Khan
CLL
1.2K
1
0
24 Feb 2025
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique
Pankaj Yadav
Vivek Vijay
Gulshan Sihag
198
1
0
28 Jan 2025
An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported OutcomesIEEE Access (IEEE Access), 2024
Yang Yan
Zhong Chen
Cai Xu
Xinglei Shen
Jay Shiao
John Einck
Ronald C Chen
Hao Gao
AI4CE
216
3
0
16 Nov 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for
  Long-Tailed Visual Recognition
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual RecognitionNeural Information Processing Systems (NeurIPS), 2024
Mengke Li
Yong Liu
Yang Lu
Yiqun Zhang
Yiu-ming Cheung
Hui Huang
VLM
222
18
0
28 Oct 2024
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detectionComputer Vision and Pattern Recognition (CVPR), 2024
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
1.1K
5
0
15 Oct 2024
A Bilevel Optimization Framework for Imbalanced Data Classification
A Bilevel Optimization Framework for Imbalanced Data Classification
Karen Medlin
Sven Leyffer
Krishnan Raghavan
451
3
0
15 Oct 2024
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser
  Prospecting: A Case of Direct Mail Prospecting
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct Mail Prospecting
Sadegh Farhang
William Hayes
Nick Murphy
Jonathan Neddenriep
Nicholas Tyris
213
0
0
02 Oct 2024
Group Distributionally Robust Optimization can Suppress Class Imbalance
  Effect in Network Traffic Classification
Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic ClassificationInternational Journal of Machine Learning and Cybernetics (IJMLC), 2024
Wumei Du
Qi Wang
Yiqin Lv
Dong Liang
Guanlin Wu
Xingxing Liang
Zheng Xie
152
0
0
28 Sep 2024
Efficient Classification of Histopathology Images
Efficient Classification of Histopathology ImagesInternational Conference on Pattern Recognition (ICPR), 2024
Mohammad Iqbal Nouyed
Mary-Anne Hartley
Gianfranco Doretto
Donald Adjeroh
238
0
0
08 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on
  Imbalanced Classification
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
Zhiwei Zhang
230
1
0
30 Aug 2024
A Comprehensive Case Study on the Performance of Machine Learning
  Methods on the Classification of Solar Panel Electroluminescence Images
A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence ImagesJournal of QualityTechnology (JQT), 2024
Xinyi Song
K. Odongo
Francis G. Pascual
Yili Hong
260
3
0
12 Aug 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
525
40
0
01 Aug 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning
LTRL: Boosting Long-tail Recognition via Reflective Learning
QiHao Zhao
Yalun Dai
Shen Lin
Wei Hu
Fan Zhang
Jun Liu
337
5
0
17 Jul 2024
Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks
Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across TasksEuropean Conference on Computer Vision (ECCV), 2024
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shan Luo
416
11
0
11 Jul 2024
Gradient-based Class Weighting for Unsupervised Domain Adaptation in
  Dense Prediction Visual Tasks
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks
Roberto Alcover-Couso
Marcos Escudero-Viñolo
Juan C. Sanmiguel
Jesús Bescós
AI4CE
311
6
0
01 Jul 2024
Methods for Class-Imbalanced Learning with Support Vector Machines: A
  Review and an Empirical Evaluation
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation
Salim rezvani
Farhad Pourpanah
Chee Peng Lim
Q. M. Jonathan Wu
VLM
124
29
0
05 Jun 2024
Length-scale study in deep learning prediction for non-small cell lung
  cancer brain metastasis
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis
Haowen Zhou
Steven
S. Lin
Mark Watson
Cory T. Bernadt
Oumeng Zhang
R. Govindan
R. Cote
Changhuei Yang
240
3
0
01 Jun 2024
Enhancing Performance for Highly Imbalanced Medical Data via Data
  Regularization in a Federated Learning Setting
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
Georgios Tsoumplekas
Ilias Siniosoglou
Vasileios Argyriou
Ioannis D. Moscholios
Panagiotis G. Sarigiannidis
OODFedML
172
3
0
30 May 2024
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning
  and Data Augmentation
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data AugmentationInternational Journal of Disaster Risk Reduction (IJDRR), 2024
Chia-Fu Liu
Lipai Huang
Kai Yin
Samuel D. Brody
Ali Mostafavi
AI4CE
210
6
0
23 May 2024
A replica analysis of under-bagging
A replica analysis of under-bagging
Takashi Takahashi
404
3
0
15 Apr 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated ContentComputer Vision and Pattern Recognition (CVPR), 2024
QiHao Zhao
Yalun Dai
Hao Li
Wei Hu
Fan Zhang
Jun Liu
402
43
0
09 Mar 2024
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer
  Classification
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification
Ashfiqun Mustari
Rushmia Ahmed
Afsara Tasnim
Jakia Sultana Juthi
G. M. Shahariar
140
5
0
24 Feb 2024
Revisiting the Dataset Bias Problem from a Statistical Perspective
Revisiting the Dataset Bias Problem from a Statistical PerspectiveEuropean Conference on Artificial Intelligence (ECAI), 2024
Kien Do
D. Nguyen
Hung Le
T. Le
Dang Nguyen
Haripriya Harikumar
T. Tran
Santu Rana
Svetha Venkatesh
230
0
0
05 Feb 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and
  Fairness Objective
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness ObjectiveAAAI Conference on Artificial Intelligence (AAAI), 2024
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
309
3
0
25 Jan 2024
Three Heads Are Better Than One: Complementary Experts for Long-Tailed
  Semi-supervised Learning
Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma
Ismail Elezi
Jiankang Deng
Weiming Dong
Changsheng Xu
228
19
0
25 Dec 2023
Deep Similarity Learning Loss Functions in Data Transformation for Class
  Imbalance
Deep Similarity Learning Loss Functions in Data Transformation for Class ImbalanceLearning with Imbalanced Domains: Theory and Applications (LIDTA), 2023
Damian Horna
Mateusz Lango
Jerzy Stefanowski
183
3
0
16 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything
FRAPPE: A Group Fairness Framework for Post-Processing EverythingInternational Conference on Machine Learning (ICML), 2023
Alexandru Tifrea
Preethi Lahoti
Ben Packer
Yoni Halpern
Ahmad Beirami
Flavien Prost
457
15
0
05 Dec 2023
ImbaGCD: Imbalanced Generalized Category Discovery
ImbaGCD: Imbalanced Generalized Category Discovery
Ziyun Li
Ben Dai
Furkan Simsek
Christoph Meinel
Haojin Yang
231
7
0
04 Dec 2023
Neural Network Characterization and Entropy Regulated Data Balancing through Principal Component Analysis
Neural Network Characterization and Entropy Regulated Data Balancing through Principal Component Analysis
David Yevick
Karolina Hutchison
253
1
0
03 Dec 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for
  Named Entity Recognition
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Haocheng Luo
Wei Tan
Ngoc Dang Nguyen
Lan Du
297
5
0
02 Nov 2023
Sharp error bounds for imbalanced classification: how many examples in
  the minority class?
Sharp error bounds for imbalanced classification: how many examples in the minority class?International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Anass Aghbalou
François Portier
Anne Sabourin
397
4
0
23 Oct 2023
An Efficient Imbalance-Aware Federated Learning Approach for Wearable
  Healthcare with Autoregressive Ratio Observation
An Efficient Imbalance-Aware Federated Learning Approach for Wearable Healthcare with Autoregressive Ratio Observation
Wenhao Yan
He Li
K. Ota
M. Dong
FedML
241
2
0
23 Oct 2023
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
Yuan Xin
Dingfan Chen
Michael Backes
Xiao Zhang
AAML
345
0
0
12 Oct 2023
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
Elaheh Jafarigol
Theodore Trafalis
Neshat Mohammadi
AI4TS
167
20
0
11 Oct 2023
Bias Amplification Enhances Minority Group Performance
Bias Amplification Enhances Minority Group Performance
Gaotang Li
J. Liu
Wei Hu
379
8
0
13 Sep 2023
From SMOTE to Mixup for Deep Imbalanced Classification
From SMOTE to Mixup for Deep Imbalanced ClassificationInternational Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2023
Wei Cheng
Tan-Ha Mai
Hsuan-Tien Lin
288
11
0
29 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Dual Compensation Residual Networks for Class Imbalanced LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
368
9
0
25 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for
  Long-tailed Recognition
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
QiHao Zhao
Chen Jiang
Wei Hu
Fangying Zhang
Jun Liu
233
34
0
19 Aug 2023
Class Attention to Regions of Lesion for Imbalanced Medical Image
  Recognition
Class Attention to Regions of Lesion for Imbalanced Medical Image RecognitionNeurocomputing (Neurocomputing), 2023
Jia-Xin Zhuang
Jiabin Cai
Jianguo Zhang
Wei-Shi Zheng
Ruixuan Wang
268
24
0
19 Jul 2023
Class Instance Balanced Learning for Long-Tailed Classification
Class Instance Balanced Learning for Long-Tailed ClassificationCanadian Conference on Computer and Robot Vision (CRV), 2023
Marc-Antoine Lavoie
Steven Waslander
265
0
0
11 Jul 2023
Set Learning for Accurate and Calibrated Models
Set Learning for Accurate and Calibrated ModelsInternational Conference on Learning Representations (ICLR), 2023
Lukas Muttenthaler
Robert A. Vandermeulen
Qiuyi Zhang
Thomas Unterthiner
Klaus-Robert Muller
387
4
0
05 Jul 2023
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual RecognitionIEEE Transactions on Image Processing (IEEE TIP), 2023
Chao Liang
Zongxin Yang
Linchao Zhu
Yezhou Yang
NoLa
199
14
0
03 Jul 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models
Fill-Up: Balancing Long-Tailed Data with Generative Models
Joonghyuk Shin
Minguk Kang
Jaesik Park
328
41
0
12 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Emilie Grégoire
M. H. Chaudhary
Sam Verboven
230
6
0
07 Jun 2023
12345
Next
Page 1 of 5