Two Modifications of CNN

1976/11/01 · 43 citations
Computer Science · Engineering · #Machine Learning and Data Classification #Machine Learning and Algorithms #Industrial Vision Systems and Defect Detection

paper · doi:10.1109/tsmc.1976.4309452

Citations

• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data

Cited by

• Data imbalance in classification: Experimental evaluation
• An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
• Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods
• Breaking the Homogeneity Assumption: Specialized Multi-Generator Adversarial Learning for Rare Failure Detection in Predictive Maintenance
• MUFold-BetaTurn: A Deep Dense Inception Network for Protein Beta-Turn Prediction
• Fraud detection in credit card transactions using Quantum-Assisted Restricted Boltzmann Machines
• Handling Class Imbalance Problem in Skin Lesion Classification: Finding Strengths and Weaknesses of Various Balancing Techniques
• Machine Learning Based Binding Contingency Pre-Selection for AC-PSCOPF Calculations
• Predicting supply chain risks using machine learning: The trade-off between performance and interpretability
• Prototype Selection Using Topological Data Analysis
• MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
• ML-Based Preamble Collision Detection in the Random Access Procedure of Cellular IoT Networks
• AR-ADASYN: angle radius-adaptive synthetic data generation approach for imbalanced learning
• From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis
• AxelSMOTE: An Agent-Based Oversampling Algorithm for Imbalanced Classification
• Machine Learning Pipeline for Software Engineering: A Systematic Literature Review
• Improving fraud prediction with incremental data balancing technique for massive data streams
• An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from\n Imbalanced Data
• Identifying problematic drugs based on the characteristics of their targets. [europepmc]
• Theories and Methods for Labeling Cognitive Workload: Classification and Transfer Learning. [europepmc]
• Improvement of P300-Based Brain-Computer Interfaces for Home Appliances Control by Data Balancing Techniques. [europepmc]
• An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images. [europepmc]
• StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images. [europepmc]
• Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations. [europepmc]
• Forecasting the Walking Assistance Rehabilitation Level of Stroke Patients Using Artificial Intelligence. [europepmc]
• Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets. [europepmc]
• Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach. [europepmc]
• Breast Tumor Classification Using Intratumoral Quantitative Ultrasound Descriptors. [europepmc]
• Large-Scale Samples Based Rapid Detection of Ciprofloxacin Resistance in Klebsiella pneumoniae Using Machine Learning Methods. [europepmc]
• Cluster-Based Ensemble Learning Model for Aortic Dissection Screening. [europepmc]
• Nomogram-Based Chronic Kidney Disease Prediction Model for Type 1 Diabetes Mellitus Patients Using Routine Pathological Data. [europepmc]
• Parkinson's disease resting tremor severity classification using machine learning with resampling techniques. [europepmc]
• Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data. [europepmc]
• Prefrontal PV interneurons facilitate attention and are linked to attentional dysfunction in a mouse model of absence epilepsy. [europepmc]
• Profiling low-proficiency science students in the Philippines using machine learning. [europepmc]
• Benchmarking cEEGrid and Solid Gel-Based Electrodes to Classify Inattentional Deafness in a Flight Simulator. [europepmc]
• A comparative study in class imbalance mitigation when working with physiological signals. [europepmc]
• Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence. [europepmc]
• A detailed study of resampling algorithms for cyberattack classification in engineering applications. [europepmc]
• Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation. [europepmc]
• Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms. [europepmc]
• Feature-based ensemble modeling for addressing diabetes data imbalance using the SMOTE, RUS, and random forest methods: a prediction study. [europepmc]
• Predicting the risk of mental disorders using complete blood count indicators: a machine learning approach. [europepmc]