Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Cited by (415)

Items 101–200 of 415

1. Deep Transfer Learning Optimization Techniques for Medical Image Classification: A Review
   Paul Kariuki, Patrick Gikunda, John Wandeto · 2023 · International Conference on Intelligent Computing and Machine Learning (2ICML)
2. An Attention-ReXNet Network for Long Tail Road Scene Classification
   Yuan Guo, Jun Zhu, Chang C. Yang, Biao Yang · 2023 · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems
3. A hybrid frequency-spatial domain unsupervised denoising model for Gaussian-Poisson mixed noise in medical imaging
   Cheng Zhang, Kin Sam Yen · 2025 · Computers in Biology and Medicine
4. Lung Cancer Diagnosis From Computed Tomography Images Using Deep Learning Algorithms With Random Pixel Swap Data Augmentation: Algorithm Development and Validation Study
   H. Abe, Mpumelelo Nyathi · 2025 · JMIR Bioinformatics and Biotechnology
5. Lightweight self supervised learning framework for domain generalization in histopathology
   Abubakr Shafique, Amanda Dy, Xiaoli Qin, Najd Alshamlan, Dimitrios Androutsos, Susan J. Done, April Khademi · 2025 · Scientific Reports
6. Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis
   Esmaeil Shakeri, Emad Ahmed Mohammed, Trafford Crump · 2023 · IEEE International Conference on Information Reuse and Integration for Data Science (IRI)
7. Semi-Supervised Semantic Segmentation-Based Remote Sensing Identification Method for Winter Wheat Planting Area Extraction
   Mingmei Zhang, Yongan Xue, Yuanyuan Zhan · 2023 · Agronomy
8. Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging
   Yahya M. Altharan, Shazarel Shamsudin, Mohd Amri Lajis · 2024 · PLoS ONE
9. MEWC: A user-friendly AI workflow for customised wildlife-image classification
   Barry W. Brook, Jessie C. Buettel, Peter van Lunteren, Prakash P. Rajmohan, Zach Aandahl · 2025 · Peer Community Journal
10. EA-FUSION: A multimodal emotion recognition model using EEG and facial expression data
    Xu, Cheng, Li, Wei, Li, Sen, Zhao, Penglu, Xing, Fangyi, Song, Aiguo · 2026 · Biomedical Signal Processing and Control
11. Forecasting energy consumption and enhancing sustainability in microbreweries: Integrating ANN-based models with thermal storage solutions
    J.E. Conduah, K. Kusakana, Olumuyiwa Yinus Odufuwa, Percy Andrew Hohne, Tao Ma · 2025 · Journal of Energy Storage
12. Kolmogorov-Arnold Vision Transformer for Image Reconstruction in Lung Electrical Impedance Tomography
    Ibrar Amin, Shuaikai Shi, Hasan Al-Marzouqi, Zeyar Aung, Waqar Ahmed, Panos Liatsis · 2025 · IEEE Open Journal of the Computer Society
13. Human-AI Complementarity in Diagnostic Radiology: The Case of Double Reading
    Isaac Anderson Wagner, Kaustubh Chakradeo · 2025 · Philosophy & Technology
14. Predicting surface roughness in dry machining of AISI H13 steel: a comparison of machine learning and GPT-based models with ceramic cutting tool
    Alex Fernandes de Souza, Filipe Alves Neto Verri, Paulo Henrique da Silva Campos, Pedro Paulo Balestrassi · 2025 · The International Journal of Advanced Manufacturing Technology
15. Multispecies weed mapping using deep learning on UAV imagery for SSWM in maize and tomato
    Gustavo A. Mesías-Ruiz, Irene Borra‐Serrano, José Dorado, A. I. de Castro, J. M. Peña · 2025 · Precision Agriculture
16. Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide
    Alexander Pearson Sheppert · 2026 · Frontiers in Artificial Intelligence
17. Semi-supervised lung adenocarcinoma histopathology image classification based on multi-teacher knowledge distillation
    Qixuan Wang, Yanjun Zhang, Jun Feng Lu · 2024 · Physics in Medicine and Biology
18. Enhancing Radar-Based Stroke Detection: A Novel Approach Integrating Huygens’ Principle and Deep Learning Techniques
    Moein Movafagh, Navid Ghavami, Gianluigi Tiberi · 2024 · IEEE Sensors Journal
19. Towards Clinical Diagnoses: Classifying Alzheimer's Disease Using Single fMRI, Small Datasets, and Transfer Learning
    Samuel L. Warren, Ahmed A. Moustafa, Alzheimer’s Disease Neuroimaging Initiative · 2025 · Brain and Behavior
20. Reducing overfitting in ResNet with Adaptive Lipschitz regularization
    Manuela Chacon-Chamorro, Fernando A. Gallego, Juan Rojas · 2025 · Journal of Computational and Applied Mathematics
21. Exploration of hybrid deep learning algorithms for covid-19 mrna vaccine degradation prediction system
    Hwai Ing Soon, Azian Azamimi Abdullah, ‪Mohd Yusoff Mashor, Zeti‐Azura Mohamed‐Hussein, Zeehaida Mohamed, Wei Chern Ang · 2022 · International Journal of Advances in Intelligent Informatics
22. Rethinking Regularization with Random Label Smoothing
    Claudio Filipi Gonçalves dos Santos, João Paulo Papa · 2024 · Neural Processing Letters
23. Transforming Stock Price Forecasting: Deep Learning Architectures and Strategic Feature Engineering
    Anh Q. Nguyen, Ha Xuan Son · 2024 · Lecture notes in computer science
24. Deep learning for the detection and classification of adhesion defects in antique plaster layers
    Michele Lo Giudice, Francesca Marıanı, Giosué Calıano, Alessandro Salvini · 2024 · Journal of Cultural Heritage
25. Supporting Integrated Operation of Sewer Networks and Wastewater Treatment Plants with a Convolutional Neural Network-Long Short-Term Memory-Attention Model
    Daihua Yu, Tong An, Yu Chen · 2025 · ACS ES&T Water
26. Forecasting and analysing global average temperature trends based on LSTM and ARIMA models
    Can Tan, Junyi Zhong, Dajun Yang, Weiming Huang · 2025 · PLoS ONE
27. Predictive Approaches for 3D ‐Printing: Methods and Approaches for Polymeric Materials
    Isabel Cooley, W.J. Wang, Vladimir A. Kozyrev, Ricky D. Wildman, Blair F. Johnston, Anna K. Croft · 2025 · Wiley Interdisciplinary Reviews Computational Molecular Science
28. SP-DETR: Superior point weak semi-supervised DETR with teacher–student paradigm for crop and weed detection
    Yifei Xu, Shuaiqiang Ren, Li Li · 2025 · Computers and Electronics in Agriculture
29. Functional and Clinical: An Explainable Deep Learning Model for Multimodal Alzheimer's Disease Classification
    Samuel L. Warren, Ahmed A. Moustafa · 2026 · Brain and Behavior
30. High performance of optimizers in deep learning for cloth patterns detection
    Irma Amelia Dewi, Mahesa Atmawidya Negara Ekha Salawangi · 2023 · IAES International Journal of Artificial Intelligence
31. SFC-NIDS: a sustainable and explainable flow filtering based concept drift-driven security approach for network introspection
    Arjun Singh, Preeti Mishra, P. Vinod · 2024 · Cluster Computing
32. An Ensemble Data-Model-Label Three-Level Regularization Framework for Imbalanced Intelligent Fault Diagnosis
    Yixiong Luo, Jianhua Shi, Jinbiao Tan · 2024 · IEEE Transactions on Reliability
33. Regularized Feature Selection Landscapes: An Empirical Study of Multimodality
    Xavier F. C. Sánchez-Díaz, Corentin Masson, Ole J. Mengshoel · 2024 · Lecture notes in computer science
34. Leveraging social media and community science data for environmental niche models: A case study with native Australian bees
    Robert A. Moore, Matthew R. E. Symonds, Scarlett R. Howard · 2024 · Ecological Informatics
35. Towards a Thermodynamical Deep-Learning-Vision-Based Flexible Robotic Cell for Circular Healthcare
    Federico Zocco, Denis M. Sleath, Shahin Rahimifard · 2025 · Circular Economy and Sustainability
36. Irrationality-Aware Human Machine Collaboration: Mitigating Alterfactual Irrationality in Copy Trading
    Zhe Shen, Wei Jiang, Zhiqiang Zheng · 2025 · Information Systems Research
37. A Novel Feedforward Neural Network Model for Predicting the Level Fluctuation in Continuous Casting Mold
    Yue Sun, Zhongqiu Liu, Yongtao Xiong · 2025 · Metallurgical and Materials Transactions B
38. Benefits and Challenges of a Graduate Course: An Experience Teaching Systematic Literature Review
    Anderson Yoshiaki Iwazaki, Vinicius dos Santos, Katia Romero Felizardo, Érica Ferreira de Souza, Natasha Valentim, Elisa Yumi Nakagawa · 2022 · IEEE Frontiers in Education Conference (FIE)
39. Image Processing Using Morphology on Support Vector Machine Classification Model for Waste Image
    Miftahuddin Fahmi, Anton Yudhana, Sunardi Sunardi · 2023 · Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer
40. TanhReLU -based convolutional neural networks for MDD classification
    Qiao Zhou, Sheng Sun, Shuo Wang · 2024 · Frontiers in Psychiatry
41. AugmenToxic: Leveraging Reinforcement Learning to Optimize LLM Instruction Fine-Tuning for Data Augmentation to Enhance Toxicity Detection
    Arezo Bodaghi, Benjamin C. M. Fung, Ketra Schmitt · 2024 · ACM Transactions on the Web
42. Security detection algorithm using CNN: Anomaly detection for API call sequence
    Jie Chang, Lipeng Shi, Zhefeng Li · 2025 · Journal of Computational Methods in Sciences and Engineering
43. Overfitting of CNN model in cifar-10: Problem and solutions
    Zhangjie Xia · 2024 · Applied and Computational Engineering
44. Identifying novel customer needs from user-generated content for product development using pre-trained language model
    Shaoqin Huang, Hu Qin, Tse-Tin Chan, Yue Wang · 2025 · Journal of Engineering Design
45. 深度学习驱动的单像素成像：研究进展与挑战（特邀）
    宋恺 Song Kai, 刘宏睿 Liu Hongrui, 卞耀兴 Bian Yaoxing · 2025 · Laser & Optoelectronics Progress
46. A Digital Twin Framework With Deep Feature Extraction and Gaussian Process for Multi-Objective Optimization in Semiconductor Manufacturing
    Chin‐Yi Lin, Tzu-Liang Tseng, Tsung-Han Tsai · 2026 · IEEE Transactions on Automation Science and Engineering
47. Physics-informed virtual sensor design for inter-turbine temperature in turbofan engines under component degradation
    Bingqiang Yu, Zelong Zou, Xin Zhou · 2026 · Energy
48. Enhancing meteorological data reliability: An explainable deep learning method for anomaly detection
    Zhongke Qu, Ruizhi Xiao, Ke Yang, Mingjuan Li, Xinyu Hu, Zhichao Liu, Xilian Luo, Zhaolin Gu, Chengwei Li · 2025 · Journal of Environmental Management
49. Hyperparameter optimization of apple leaf dataset for the disease recognition based on the YOLOv8
    Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Yong Bae Seo, Dong-Hyun Ahn, Gun‐Do Kim · 2025 · Journal of Agriculture and Food Research
50. A pre-processing tool to increase performance of deep learning-based CAD in digital breast Tomosynthesis
    Daniele Esposito, Gianfranco Paternò, Roberta Ricciardi · 2023 · Health and Technology
51. Research on transformer fault diagnosis based on active learning with imbalanced data of dissolved gas in oil
    Pengfei Tang, Zhonghao Zhang, Jie Tong, Zhenyuan Ma, Tianhang Long, Can Huang, Zihao Qi · 2024 · Review of Scientific Instruments
52. Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet
    Mengmeng Liu, Gopal Narayan Srivastava, Jagannathan Ramanujam, Michał Bryliński · 2024 · Machine Learning and Knowledge Extraction
53. A critical analysis of transfer learning models for computer vision tasks
    Jasmine Chhikara, Nidhi Goel, Neeru Rathee · 2024 · AIP conference proceedings
54. An improved low‐rank plus sparse unrolling network method for dynamic magnetic resonance imaging
    Mingfeng Jiang, Yun‐jiang Chen, Dong‐sheng Ruan, Zihan Yuan, Jucheng Zhang, Ling Xia · 2024 · Medical Physics
55. Agricultural Pest Image Recognition Algorithm Based on Convolutional Neural Network and Bayesian Method
    Ling Zhang, Fahui Wu, Wensen Yu · 2024 · IEEE Access
56. Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks
    Carlos Arizmendi, Jorge Pinto, Alejandro Arboleda · 2024 · International Journal of Online and Biomedical Engineering (iJOE)
57. Multi‐Diseases Detection with Memristive System on Chip
    Zihan Wang, Daniel W. Yang, Zerui Liu, Evan Yan, Heming Sun, Ning Ge, Miao Hu, Wei Wu · 2025 · Advanced Intelligent Systems
58. Automated detection of small hepatocellular carcinoma in cirrhotic livers: applying deep learning to Gd-EOB-DTPA-enhanced MRI
    Junqiang Lei, Yongsheng Xu, YuanHui Zhu, Shanshan Jiang, Song Tian, Yi Zhu · 2025 · Abdominal Radiology
59. Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens
    Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique · 2023 · International Joint Conference on Neural Networks (IJCNN)
60. SVM-CNN Hybrid Classification for Waste Image Using Morphology and HSV Color Model Image Processing
    Sunardi Sunardi, Anton Yudhana, Miftahuddin Fahmi · 2023 · Traitement du signal
61. Deep learning fundamentals
    Nishant Ravikumar, Arezoo Zakeri, Yan Xia · 2023 · Medical Image Analysis
62. Certified Control for Train Sign Classification
    Jan Roßbach, Michaël Leuschel · 2023 · Electronic Proceedings in Theoretical Computer Science
63. FMMix: A Novel Augmentation Strategy for Enhancing Feature Diversity to Boost Model Generalization for Image Data
    Khoa Tho Anh Nguyen, Ngoc Hong Tran, Quang-Vinh Dinh · 2024 · IEEE Access
64. Wild ActionFormer: Enhancing wildlife action recognition for 11 endangered species in Wolong
    Dan Liu, Qianqian Sun, Jin Hou, Bochuan Zheng, Jindong Zhang, Desheng Li, Tomás Norton, Jifeng Ning · 2025 · Ecological Informatics
65. AI Doctor for ASD: Physician Perceptions and Adoption Challenges in Autism Clinical Practice
    Yujie Zhu, Mingyuan Zhang, Cong Fang, Le Fang, M. Q. Liu, Yonghao Long, Kun-Pyo Lee, Lie Zhang, Stephen Jia Wang · 2025 · Proceedings of the ACM on Human-Computer Interaction
66. From vulnerability to resilience: Adversarial training and real-time detection for AI security
    Georgios Ziras, Aristeidis Farao, Apostolis Zarras, Christos Xenakis · 2025 · Array
67. Temporal validity of landslide inventories in hazard mapping: insights from Hubei Province, China
    Yuhang Zhu, Kunlong Yin, Haoran Yang · 2025 · Landslides
68. Islamic Finance in Canada Powered by Big Data: A Case Study
    Imran Abdool, Mustafa Abdool · 2022 · Springer eBooks
69. Membership inference attack for beluga whales discrimination
    Voncarlos M. Araújo, Sébastien Gambs, Robert Michaud, Hadrien Lautraite, Léo Schneider, Clément Chion · 2023 · Ecological Informatics
70. A New Approach to Animal Behavior Classification using Recurrent Neural Networks
    Khalid El Moutaouakil, Noureddine Falih · 2024 · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
71. ODSen: A Lightweight, Real-Time, and Robust Object Detection System via Complementary Camera and mmWave Radar
    Deshun Jia, Hengliang Shi, Shuai Zhang, Yating Qu · 2024 · IEEE Access
72. Uncertainty-aware Dynamic Re-weighting Robust Classification
    Wenshu Ge, Huan Ma, Peizhuo Sheng · 2024
73. Progressive Ensemble Learning for in-Sample Data Cleaning
    Jung-Hua Wang, Shih-Kai Lee, Ting-Yuan Wang · 2024 · IEEE Access
74. Rapid training echo convolution network for image recognition
    Minghao Zhou, Shuxian Lun, Ming Li · 2024 · Information Sciences
75. Relation Explore Convolutional Block Attention Module for Skin Lesion Classification
    Qichen Su, Haza Nuzly Abdull Hamed, Dazhuo Zhou · 2024 · International Journal of Imaging Systems and Technology
76. FasNet: An Advanced Deep Learning Model for Liver Tumor Segmentation
    Al Amin, Md. Sanaul Haque, S M Imtiaz, Muhammad Nazrul Islam, Faiz Al Faisal · 2024 · International Conference on Sustainable Technologies for Industry 5.0 (STI)
77. Optimization Methods for Convolutional Neural Networks – The LeNet-5 Algorithm
    Hamdy Morsy · 2022 · International Journal of Recent Technology and Engineering (IJRTE)
78. Screening and Analysis of Skin Cancer Treatment Using Biocomponents of Plants Using Backpropagation Neural Networks: A Comprehensive Review
    Urvashi Soni, Jeetendra Kumar Gupta, Kuldeep Singh, Girdhar Khandelwal · 2023 · Current Cancer Therapy Reviews
79. Recognition of Masked Facial Expressions Based on Convolutional Neural Networks and Data Augmentation
    Xiao Zhang, Yonggang Liu, Ke Zhan Zhao · 2023 · International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)
80. Distance profile layer for binary classification and density estimation
    Joanna Komorniczak, Paweł Ksieniewicz · 2024 · Neurocomputing
81. Instance-Level Coarse-to-Fine High-Precision Grasping in Cluttered Environments
    Z. Wang, Jingdong Zhao, Liangliang Zhao, Hong Liu · 2024 · IEEE Transactions on Industrial Informatics
82. Noninvasive Assessment of hiPSC Differentiation toward Cardiomyocytes Using Pretrained Convolutional Neural Networks and the Channel Pruning Algorithm
    Yujie Duan, Kaitong He, Wei Lan, Yuli Luo, Hao Fan, Peiran Lin, Wenlong Wang, Yadong Tang · 2024 · ACS Biomaterials Science & Engineering
83. Enhancing Transparency in Transport Mode Detection: An Interpretable Ensemble Model Classifier
    Azwad Aziz, Nafisa Khan Youkee, Fariha Ahmed · 2024
84. Evaluating AI-Based Components in Autonomous Railway Systems
    Jan Roßbach, Oliver De Candido, Ahmed Hammam · 2024 · Lecture notes in computer science
85. Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
    Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
86. XtremeLLMs: Towards Extremely Large Language Models
    Ibomoiye Domor Mienye, Theo G. Swart, George Obaido · 2024 · Preprints.org
87. A Large Language Model-Based Autonomous Scoring Method for Subjective Question Answering under English Context
    Ximeng Wen, Xinggan Fu · 2024 · Journal of Circuits Systems and Computers
88. Network Mathematical Virtual Data Analysis Model Based on Deep Learning Algorithm
    Xiaojie Teng · 2024 · Procedia Computer Science
89. Deterministic Convergence Analysis for GRU Networks via Smoothing Regularization
    Qian Zhu, Qian K. Kang, Tao Xu · 2025 · Computers, materials & continua/Computers, materials & continua (Print)
90. A Bayesian graph structure inference neural network based on adaptive connection sampling
    Mingjie Lu, Zhaowei Liu, Pengda Wang · 2025 · Applied Soft Computing
91. Machine learning approaches for assessing medication transfer to human breast milk
    Zhongyuan Zhao, Peng Zou, Yuan Fang, Tong Si, Yanyan Li, Bofang Yi, Tao Zhang · 2025 · Journal of Pharmacokinetics and Pharmacodynamics
92. Estimation of ship operational performance degradation using deep-learning-based fuel oil consumption prediction models
    Donghyun Park, Jae‐Yoon Jung, Beom Jin Park · 2025 · International Journal of Naval Architecture and Ocean Engineering
93. Enhancing Diabetic Foot Ulcer Classification Through Fine-Tuned Multilevel CNN
    Elineide Santos, Rodrigo De Melo Souza Veras, Francisco Das Chagas Torres Dos Santos, Márcia Ito, Andrea G. Campos Bianchi, Kelson Romulo Teixeira Aires, João Manuel R. S. Tavares · 2025 · IEEE Access
94. Artificial intelligence in hepatopancreatobiliary surgery for clinical outcome prediction: current perspective and future direction
    Javed Latif, Giuseppe Garcea, Ashley Robert Dennison · 2025 · Journal of Robotic Surgery
95. Explainable Machine-Learning Leak Identification Framework for Water Distribution Networks
    Rongsheng Liu, Tarek M. Zayed, Rui Xiao · 2025 · Journal of Computing in Civil Engineering
96. Predicting and Optimizing Crowd Evacuations: An Explainable AI Approach
    Estêvão Testa, Soraia Raupp Musse · 2025 · Computer Animation and Virtual Worlds
97. aiGeneR 3.0: an enhanced deep network model for resistant strain identification and multi-drug resistance prediction in Escherichia coli causing urinary tract infection using next-generation sequencing data
    Debasish Swapnesh Kumar Nayak, Abhilash Pati, Amrutanshu Panigrahi, Mudassir Khan, Bayan Ibrahimm Alabdullah, Santanu Kumar Sahoo, Bibhuprasad Sahu, Abrar Almjally, Saurav Mallik, Tripti Swarnkar · 2025 · Frontiers in Genetics
98. Poultry perfection — Comparison of computer vision models to detect and classify poultry products in a production setting
    Daniel Einsiedel, Marco Vita, Dana Jox, Bertus Dunnewind, Johan Meulendijks, Christian Krupitzer · 2025 · Applied Food Research
99. Rethinking Convolutional Neural Network in Multimodal Sequential Recommendation
    Zhicheng Zhou, Xiangwu Meng, Yujie Zhang · 2025 · ACM Transactions on Information Systems
100. Revolutionizing plant disease management: integrating AI and deep learning for enhanced detection and classification in agriculture applications
     Rania A. Ahmed, Walid El‐Shafai, Ezz El‐Din Hemdan · 2025 · Multimedia Tools and Applications