Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function

No abstract is available for this paper.

• Publication year

  2019

• Venue

  Neural Processing Letters

• Publication date

  2019-01-10

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/s11063-018-09977-1
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Pattern Classification

  2021cited by this paper
• Entropy-based matrix learning machine for imbalanced data sets

  2017cited by this paper
• Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning

  2017cited by this paper
• An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

  2013cited by this paper
• Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

  2013cited by this paper
• Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data

  2013cited by this paper
• A neural network algorithm for semi-supervised node label learning from unbalanced data

  2013cited by this paper
• Adjusted Geometric-mean: a Novel Performance Measure for Imbalanced Bioinformatics Datasets Learning

  2012cited by this paper
• A Statistical Perspective of Neural Networks for Imbalanced Data Problems

  2011cited by this paper
• RAMOBoost: Ranked Minority Oversampling in Boosting

  2010cited by this paper
• Supervised Neural Network Modeling: An Empirical Investigation Into Learning From Imbalanced Data With Labeling Errors

  2010cited by this paper
• Editorial

  2009cited by this paper
• Learning from Imbalanced Data

  2009cited by this paper
• ADASYN: Adaptive synthetic sampling approach for imbalanced learning

  2008cited by this paper
• Cost-sensitive boosting for classification of imbalanced data

  2007cited by this paper
• Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples

  2007cited by this paper
• An introduction to ROC analysis

  2006cited by this paper
• Statistical Comparisons of Classifiers over Multiple Data Sets

  2006cited by this paper
• Revisiting squared-error and cross-entropy functions for training neural network classifiers

  2005cited by this paper
• SPECIAL ISSUE ON LEARNING FROM IMBALANCED DATA SETS

  2004cited by this paper
• Editorial: special issue on learning from imbalanced data sets

  2004cited by this paper
• The Imbalanced Training Sample Problem: Under or over Sampling?

  2004cited by this paper
• SMOTE: Synthetic Minority Over-sampling Technique

  2002influential reference
• The Foundations of Cost-Sensitive Learning

  2001cited by this paper
• Robust Classification for Imprecise Environments

  2000cited by this paper
• Pattern Classification (2nd ed.)

  1999cited by this paper
• Cost-Sensitive Learning with Neural Networks

  1998cited by this paper
• Improved Boosting Algorithms Using Confidence-rated Predictions

  1998cited by this paper
• Addressing the Curse of Imbalanced Training Sets: One-Sided Selection

  1997cited by this paper
• A direct adaptive method for faster backpropagation learning: the RPROP algorithm

  1993influential reference
• Statistical Decision Theory and Bayesian Analysis, Second Edition

  1993cited by this paper
• Two Modifications of CNN

  1976influential reference
• Multiple Comparisons among Means

  1961cited by this paper
• The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance

  1937cited by this paper

• SwiftMOS: A Fast and Lightweight Moving Object Segmentation via Feature Flowing Direct View Transformation

  2026cites this paper
• A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Data

  2026cites this paper
• Fault detection and isolation method for gas turbines using self-organizing type-3 fuzzy wavelet neural networks

  2026cites this paper
• Temporal Domain Guided Prediction Network

  2026cites this paper
• Efficient fine-tuning of whisper models for Amazigh ASR: leveraging LoRA and its variants

  2026cites this paper
• Beyond the final layer: Attentive multilayer fusion for vision transformers

  2026cites this paper
• A Comparative Study on Segmentation Techniques for Context-Aware Safe Landing of UAVs

  2026cites this paper
• Computer vision-based approach for autonomous estimation of building envelope material stock

  2026cites this paper
• Conditional autoencoder for HVAC duct layout generation

  2026cites this paper
• HintOcc: Enhancing Bev-to-3D Reconstruction in Occupancy Prediction with Spatial-Awareness and Dynamic Class Balancing

  2025cites this paper
• Exploring NLP Techniques for Code Smell Detection: A Comparative Study

  2025cites this paper
• Potential of deep learning methods to enhance satellite-based monitoring of nuclear power plants focusing on remote operation evaluations

  2025cites this paper
• LLM-based classifiers for discovering mental disorders

  2025cites this paper
• SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation

  2025cites this paper
• IoT-enabled CCTV monitoring and deep learning for automated water body segmentation in agricultural reservoirs

  2025cites this paper
• A Survey on Causal Inference‐Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges

  2025cites this paper
• HiLO: High-Level Object Fusion for Autonomous Driving Using Transformers

  2025cites this paper
• Medical semantic knowledge‐integrated multitask learning network for report generation and neoadjuvant chemotherapy response prediction

  2025cites this paper
• Direct band gap prediction of single and double perovskite using cost-sensitive ensemble learning

  2025cites this paper
• Explainable Temporal Inference for Irregular Multivariate Time Series. A Case Study for Early Prediction of Multidrug Resistance

  2025cites this paper
• Detection of intra-beat waves on ambulatory ECG using manifolds: An explainable deep learning approach

  2025cites this paper
• Harmonized Gradient Descent for Class Imbalanced Data Stream Online Learning

  2025cites this paper
• Facial expression recognition based on multi-domain norm-referenced encoding

  2025cites this paper
• Abdominal multi-organ segmentation on 3D negative-contrast CT cholangiopancreatography: a comparative study of deep learning methods.

  2025cites this paper
• Optimizing Novel Device Configurations for Perovskite Solar Cells: Enhancing Stability and Efficiency Through Machine Learning on a Large Dataset

  2025cites this paper
• Deep Learning-Based Classification of Canine Cataracts from Ocular B-Mode Ultrasound Images

  2025cites this paper
• Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers

  2025cites this paper
• Understanding Cognitive States from Head & Hand Motion Data

  2025cites this paper
• Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series

  2025cites this paper
• A novel computer vision-based approach for autonomous building facade material stock estimation

  2025cites this paper
• Semi-supervised generative adversarial networks for imbalanced skin lesion diagnosis with an unbiased generator and informative images

  2025cites this paper
• TFBlender: a hybrid time series attention model with data-driven macroeconomic perspectives for ELS Knock-In prediction

  2025cites this paper
• Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance

  2025cites this paper
• Shining Light on DNA Mutations through Machine Learning-Augmented Vibrational Spectroscopy.

  2025cites this paper
• Scarce, scarcer, scarcest: performance-flexible AI-based planning of elective surgeries for efficient and effective intensive care capacity management

  2025cites this paper
• AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images

  2025cites this paper
• In situ soil moisture data improve precipitation-based shallow landslide early warning through innovative machine learning methods

  2025cites this paper
• Just-in-Time Detection of Outdated Comments in Software Development by Jointly Reasoning

  2025cites this paper
• iNClassSec-ESM: Discovering potential non-classical secreted proteins through a novel protein language model

  2025cites this paper
• Habitat mapping of coastal dunes with deep learning

  2025cites this paper
• Large Language Model-Based Multi-source Integration Pipeline for Automated Diagnostic Classification and Zero-Shot Prognoses for Brain Tumor

  2025cites this paper
• BalancedDiff: Balanced Diffusion Network for High-Quality Molecule Generation

  2025cites this paper
• Detecting deception: employing deep neural networks for fraudulent review detection on Amazon

  2025cites this paper
• Time-Frequency Collaborative Learning for Imbalanced Ship Motion Data With Missing Labels in Sea State Estimation

  2025cites this paper
• Multi-Properties prediction of perovskite materials using Machine learning and Meta-Heuristic feature selection

  2025cites this paper
• A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN

  2025cites this paper
• Comparative Analysis of Deep Neural Networks for Automated Ulcerative Colitis Severity Assessment

  2025cites this paper
• Clinical knowledge integrated multi-task learning network for breast tumor segmentation and pathological complete response prediction

  2025cites this paper
• Augmenting Guest Search Results with Recommendations at Airbnb

  2025cites this paper
• Hierarchical Feature Learning Based on Memory for Skin Lesion Recognition

  2025cites this paper
• A Computer Vision Approach for Estimating Embodied Carbon to Support Circular Economy Decisions

  2025influential citation
• Smooth Categorical Cross-Entropy: An Improved Approach to Overcome the Limitations of CCE

  2025cites this paper
• Gaze-Enhanced Multimodal Turn-Taking Prediction in Triadic Conversations

  2025cites this paper
• A two stage blood cell detection and classification algorithm based on improved YOLOv7 and EfficientNetv2

  2025cites this paper
• DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction

  2025cites this paper
• Bidirectional Encoder representation from Image Transformers for recognizing sunflower diseases from photographs

  2025cites this paper
• A privacy-preserving heterogeneous federated learning framework with class imbalance learning for electricity theft detection

  2025cites this paper
• Long-tailed classification based on dynamic class average loss

  2025cites this paper
• Performance-based active learning (PbAL) for imbalanced data with nonparametric logistic regression

  2025cites this paper
• Towards deep learning enabled cybersecurity risk assessment for microservice architectures

  2024cites this paper
• Seismically Informed Reference Models Enhance AI‐Based Earthquake Prediction Systems

  2024cites this paper
• LSTM vs CNN in real ship trajectory classification

  2024cites this paper
• Deep reinforcement learning imbalanced credit risk of SMEs in supply chain finance

  2024cites this paper
• Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids

  2024cites this paper
• Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation

  2024cites this paper
• Class imbalance-sensitive approach based on PLMs for the detection of cyberbullying in English and Arabic datasets

  2024cites this paper
• Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning

  2024cites this paper
• Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series

  2024cites this paper
• IntroUNET: Identifying introgressed alleles via semantic segmentation

  2024cites this paper
• Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety.

  2024cites this paper
• Multimodal imbalanced‐data fault diagnosis method based on a dual‐branch interactive fusion network

  2024cites this paper
• Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction

  2024cites this paper
• Irregular Temporal Classification of Multidrug Resistance Development in Intensive Care Unit Patients

  2024cites this paper
• Nighttime Road Surface Detection Using Drivable Area Extraction Based on Night Illumination Enhancement

  2024cites this paper
• Predicting the toxic side effects of drug interactions using chemical structures and protein sequences

  2024cites this paper
• Land cover classification algorithm based on multi-modal collaboration and boundary-guided fusion

  2024cites this paper
• Transfer Learning with a Graph Attention Network and Weighted Loss Function for Screening of Persistent, Bioaccumulative, Mobile, and Toxic Chemicals.

  2024cites this paper
• Tower and power line segmentation method based on RandLA-Net

  2024cites this paper
• Large-scale Inventory in Natural Forests with Mobile LiDAR Point Clouds

  2024cites this paper
• Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning

  2024cites this paper
• Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles

  2024cites this paper
• GRU-D Characterizes Age-Specific Temporal Missingness in MIMIC-IV

  2024cites this paper
• Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition

  2024cites this paper
• Accurate and Data‐Efficient Micro X‐ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids

  2024cites this paper
• Class-Specific Thresholding for Imbalanced Semi-Supervised Learning

  2024cites this paper
• Enhancing Network Threat Detection with Random Forest-Based NIDS and Permutation Feature Importance

  2024cites this paper
• SleepGCN: A transition rule learning model based on Graph Convolutional Network for sleep staging

  2024cites this paper
• A Novel Unsupervised Approach for Training Convolutional DSSNs on Remote Sensing

  2024cites this paper
• Compensation method for metal defect detection based on deep learning and ultrasonic wave

  2024cites this paper
• Development and validation of a two-stage convolutional neural network algorithm for segmentation of MRI white matter hyperintensities for longitudinal studies in CADASIL

  2024cites this paper
• Automated Optic Disc Segmentation in Low-Quality Retinopathy of Prematurity Retinal Images

  2024cites this paper
• Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation

  2024influential citation
• An exploratory deep learning approach to investigate tuberculosis pathogenesis in nonhuman primate model: Combining automated radiological analysis with clinical and biomarkers data

  2024cites this paper
• EEG-based Seizure Type Classification with Temporal-Spatial-Spectral Attention

  2024cites this paper
• Machine learning driven high-resolution Raman spectral generation for accurate molecular feature recognition

  2024cites this paper
• A Generalized Transformer-based Radio Link Failure Prediction Framework in 5G RANs

  2024cites this paper
• Deep convolutional neural network (CNN) model optimization techniques—Review for medical imaging

  2024cites this paper
• Mapping building change detection in very high-resolution remote sensing imagery with a deep learning method

  2024cites this paper
• Multi‐Task Learning for Tornado Identification Using Doppler Radar Data

  2024cites this paper
• Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients

  2024cites this paper