SMOTE: Synthetic Minority Over-sampling Technique

9 June 2011

Papers citing "SMOTE: Synthetic Minority Over-sampling Technique"

50 / 66 papers shown

Title
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data Zhining Liu Zihao Li Ze Yang Tianxin Wei Jian Kang Yada Zhu Hendrik Hamann Jingrui He Hanghang Tong LMTD 169 0 0 23 May 2025
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration Jiawei Gu Ziyue Qiao Xiao Luo 197 0 0 21 May 2025
LOD1 3D City Model from LiDAR: The Impact of Segmentation Accuracy on Quality of Urban 3D Modeling and Morphology Extraction Fatemeh Chajaei Hossein Bagheri 3DV 3DPC AI4CE 189 0 0 20 May 2025
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior Surajit Chakrabarty Rukma Talwadker Tridib Mukherjee GAN 126 3 0 02 May 2025
Learning Hierarchical Interaction for Accurate Molecular Property Prediction Huiyang Hong Xinkai Wu Hongyu Sun Chaoyang Xie Qi Wang Yongqian Li 138 0 0 28 Apr 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 215 2 0 23 Apr 2025
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms Khrystyna Semkiv Jia Zhang Maria Laura Ferster W. Karlen 69 0 0 11 Apr 2025
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals Sanyam Paresh Shah Abdullah Mamun Shovito Barua Soumma Hassan Ghasemzadeh 154 0 0 09 Apr 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods Danial Hooshyar Eve Kikas Yeongwook Yang Gustav Šír Raija Hamalainen T. Karkkainen Roger Azevedo 112 1 0 01 Apr 2025
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts Muhammad Tahir Mahboobeh Norouzi Shehroz S. Khan James Davie Soichiro Yamanaka A. Ashraf 169 1 0 01 Apr 2025
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods J. Benítez-Andrades C. Prada-García Nicolás Ordás-Reyes Marta Esteban Blanco Alicia Merayo Antonio Serrano-García 72 1 0 23 Mar 2025
Provable Imbalanced Point Clustering David Denisov Dan Feldman Shlomi Dolev Michael Segal 139 0 0 13 Mar 2025
Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring Javier Marín 219 0 0 13 Mar 2025
ICPR 2024 Competition on Rider Intention Prediction Shankar Gangisetty Abdul Wasi Shyam Nandan Rai C. V. Jawahar Sajay Raj ... Ayesha Choudhary Aaryadev Chandra Dev Chandan Shireen Chand Suvaditya Mukherjee 81 0 0 11 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 473 0 0 09 Mar 2025
Predicting Space Tourism Demand Using Explainable AI Tan-Hanh Pham Jingchen Bi Rodrigo Mesa-Arangom Kim-Doang Nguyen 87 0 0 05 Mar 2025
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs Jong Ho Jhee Alberto Megina Pacôme Constant Dit Beaufils Matilde Karakachoff Richard Redon Alban Gaignard Adrien Coulet 111 0 0 28 Feb 2025
Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering Naveen Edapurath Vijayan 167 0 0 25 Feb 2025
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class Annie D'souza Swetha M Sunita Sarawagi 134 1 0 20 Feb 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian Vahid Tarokh 150 0 0 17 Feb 2025
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang Sizhe Wei Xiaoming Huo Hao Wang DiffM 249 0 0 12 Feb 2025
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition Tian-Shuang Wu Shen-Huan Lyu Ning Chen Zhihao Qu Baoliu Ye OODD 100 0 0 09 Feb 2025
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction Amuche Ibenegbu Amandine Schaeffer Pierre Lafaye de Micheaux Rohitash Chandra 84 0 0 20 Jan 2025
Synthetic Feature Augmentation Improves Generalization Performance of Language Models Ashok Choudhary Cornelius Thiels Hojjat Salehinejad 87 1 0 11 Jan 2025
Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches Alireza Safarzadeh Mohammad Reza Jamali Behzad Moshiri 127 0 0 03 Jan 2025
Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data Nojod M. Alotaibi Areej M. Alhothali Manar S. Ali 81 0 0 31 Dec 2024
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 219 0 0 13 Dec 2024
High-dimensional classification problems with Barron regular boundaries under margin conditions Jonathan García Philipp Petersen 121 1 0 10 Dec 2024
Practical Performative Policy Learning with Strategic Agents Qianyi Chen Ying Chen Bo Li 175 0 0 02 Dec 2024
Perception of Visual Content: Differences Between Humans and Foundation Models Nardiena A. Pratama Shaoyang Fan Gianluca Demartini VLM 154 0 0 28 Nov 2024
Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis Masoud Jamshidiyan Tehrani Sattar Hashemi 148 0 0 26 Nov 2024
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning Xiaoyu Gan Xizi Chen Jingyang Zhu Xiaomeng Wang Jingbo Jiang Chi-Ying Tsui FedML 152 0 0 23 Nov 2024
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Guangkun Nie Gongzheng Tang Shenda Hong 121 0 0 20 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 508 0 0 20 Nov 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 143 2 0 20 Nov 2024
Advancing Software Security and Reliability in Cloud Platforms through AI-based Anomaly Detection Sabbir M. Saleh Ibrahim Mohammed Sayem N. Madhavji John Steinbacher 85 2 0 14 Nov 2024
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task H. Haresamudram Chi Ian Tang Sungho Suh P. Lukowicz Thomas Ploetz 155 2 0 11 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre Homayoun Najjaran 219 0 0 04 Nov 2024
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks Yu Qiao Lina Gong Yu Zhao Yansen Wang Mingqiang Wei 107 0 0 25 Oct 2024
Medical-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data Elias Hossain Tasfia Nuzhat Shamsul Masum Shahram Rahimi Sudip Mittal 76 0 0 19 Oct 2024
Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature Jan Vrba Jakub Steinbach Tomáš Jirsa Laura Verde Roberta De Fazio ... Lukáš Hájek Zuzana Sedláková Jan Mareš Jan Mareš Noriyasu Homma 55 0 0 14 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 238 1 0 01 Oct 2024
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning Robert Kaufman Emi Lee Manas Satish Bedmutha David Kirsh Nadir Weibel 90 1 0 13 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 105 0 0 09 Sep 2024
Symmetry constrained neural networks for detection and localization of damage in metal plates James Amarel Christopher Rudolf Athanasios P. Iliopoulos J. Michopoulos Leslie N. Smith 74 0 0 09 Sep 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 114 5 0 16 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 122 1 0 13 Jul 2024
Sequential Binary Classification for Intrusion Detection Ishan Chokshi Shrihari Vasudevan Nachiappan Sundaram Raaghul Ranganathan 112 0 0 10 Jun 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification Tom Burgert Tim Siebert Kai Norman Clasen Begüm Demir Begüm Demir 88 1 0 22 May 2024
What is Reproducibility in Artificial Intelligence and Machine Learning Research? Abhyuday Desai Mohamed Abdelhamid N. R. Padalkar AI4CE 54 3 0 29 Apr 2024