DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

5 May 2021

Papers citing "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data"

44 / 44 papers shown

Title
VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification Shamim Rahim Refat Ziyan Shirin Raha Shuvashis Sarker Faika Fairuj Preotee MD. Musfikur Rahman Tashreef Muhammad Mohammad Shafiul Islam MedIm 44 0 0 30 Apr 2025
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions Shuxian Zhao Jie Gui Minjing Dong Baosheng Yu Zhipeng Gui Lu Dong Yuan Yan Tang James T. Kwok 34 0 0 21 Apr 2025
Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines Athanasios Athanasopoulos Matúš Mihalák Marcin Pietrasik 36 0 0 11 Apr 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound Shiwon Kim Dongjun Hwang Sungwon Woo Rita Singh CLL 52 0 0 13 Mar 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples Hansung Choi Daewon Seo 46 0 0 24 Feb 2025
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling Nannan Li Kevin J. Shih Bryan A. Plummer DiffM 54 0 0 08 Jan 2025
Federated Unlearning Model Recovery in Data with Skewed Label Distributions Xinrui Yu Wenbin Pei Bing Xue Qiang Zhang FedML MU 79 1 0 18 Dec 2024
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting Adrian B. Chłopowiec Adam R. Chłopowiec Krzysztof Galus Wojciech Cebula Martin Tabakov MedIm 38 0 0 05 Nov 2024
Class-Aware Contrastive Optimization for Imbalanced Text Classification Grigorii Khvatskii Nuno Moniz Khoa D. Doan Nitesh V. Chawla 28 0 0 29 Oct 2024
Text-Guided Mixup Towards Long-Tailed Image Categorization Richard Franklin Jiawei Yao Deyang Zhong Qi Qian Juhua Hu VLM 24 0 0 05 Sep 2024
AEMLO: AutoEncoder-Guided Multi-Label Oversampling Ao Zhou Bin Liu Jin Wang K. Sun Kelin Liu SyDa 21 0 0 23 Aug 2024
Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data Ren Ozeki Haruki Yonekura Hamada Rizk Hirozumi Yamaguchi 26 1 0 09 Aug 2024
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering Sungchul Hong SeungHwan An Jong-June Jeon 25 0 0 30 May 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 62 5 0 13 Mar 2024
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese Ajinkya Kulkarni Anna Tokareva Rameez Qureshi Miguel Couceiro 23 4 0 12 Feb 2024
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling Ali Alfatemi Mohamed Rahouti Ruhul Amin Sarah Aljamal Kaiqi Xiong Yufeng Xin 35 8 0 06 Jan 2024
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data Hung Nguyen Morris Chang SyDa 14 1 0 05 Jan 2024
Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance Damian Horna Mateusz Lango Jerzy Stefanowski 13 0 0 16 Dec 2023
MalDicom: A Memory Forensic Framework for Detecting Malicious Payload in DICOM Files Ayushi Mishra P. Bagade MedIm 11 1 0 01 Dec 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 55 1 0 02 Nov 2023
MCRAGE: Synthetic Healthcare Data for Fairness Keira Behal Jiayi Chen Caleb Fikes Sophia Xiao SyDa MedIm 32 1 0 27 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs Elaheh Jafarigol Theodore Trafalis 21 7 0 19 Oct 2023
From SMOTE to Mixup for Deep Imbalanced Classification Wei Cheng Tan-Ha Mai Hsuan-Tien Lin 13 3 0 29 Aug 2023
ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN Muhammad Ali Farooq Wang Yao G. Costache Peter Corcoran CVBM 25 6 0 25 Jul 2023
INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced Classification Min Li Hao Zhou Qun Liu Yabin Shao Guoying Wang 19 0 0 03 Jul 2023
Towards Understanding How Data Augmentation Works with Imbalanced Data Damien Dablain Nitesh V. Chawla AI4CE 26 2 0 12 Apr 2023
Astronomical image time series classification using CONVolutional attENTION (ConvEntion) Anass Bairouk Marc Chaumont D. Fouchez Jerome Paquet Frédéric Comby J. Bautista 13 1 0 03 Apr 2023
Neural Network Architecture for Database Augmentation Using Shared Features IV WilliamC.Sleeman R. Kapoor Preetam Ghosh OOD 24 0 0 02 Feb 2023
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh V. Chawla 24 1 0 15 Dec 2022
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks Javad Hassannataj Joloudari Abdolreza Marefat M. Nematollahi Solomon Sunday Oyelere Sadiq Hussain 17 89 0 01 Sep 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh V. Chawla FaML 16 8 0 13 Jul 2022
Efficient Augmentation for Imbalanced Deep Learning Damien Dablain C. Bellinger Bartosz Krawczyk Nitesh V. Chawla 27 7 0 13 Jul 2022
A Hybrid Approach for Binary Classification of Imbalanced Data Hsin-Han Tsai Ta-Wei Yang Wai-Man Wong Cheng-Fu Chou 15 0 0 06 Jul 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 17 2 0 28 Feb 2022
Imbalanced Classification via Explicit Gradient Learning From Augmented Data Bronislav Yasinnik Moshe Salhov Ofir Lindenbaum Amir Averbuch 11 0 0 21 Feb 2022
Predicting Terrorist Attacks in the United States using Localized News Data Steven J. Krieg Christian W. Smith R. Chatterjee Nitesh V. Chawla OOD 16 5 0 12 Jan 2022
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision Maximilian Harl Marvin Herchenbach Sven Kruschel Nico Hambauer Patrick Zschech Mathias Kraus 14 2 0 06 Jan 2022
Feature Generation for Long-tail Classification Rahul Vigneswaran M. Law V. Balasubramanian Makarand Tapaswi VLM 19 16 0 10 Nov 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance Grace Deng Cuize Han T. Dreossi Clarence Lee David S. Matteson AI4TS 23 8 0 14 Oct 2021
On the combined effect of class imbalance and concept complexity in deep learning Kushankur Ghosh C. Bellinger Roberto Corizzo Bartosz Krawczyk Nathalie Japkowicz 9 8 0 29 Jul 2021
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 241 457 0 11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 250 782 0 05 Dec 2019
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 234 446 0 28 Nov 2016