Keywords: طبقه بندی نامتعادل; Monotonic classification; Imbalanced classification; Sampling techniques; Preprocessing; Data mining;
مقالات ISI طبقه بندی نامتعادل (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: طبقه بندی نامتعادل; Climatic time series; Monsoon forecasting; Imbalanced classification;
Keywords: طبقه بندی نامتعادل; Imbalanced classification; Image classification; Generative adversarial nets; Ensemble learning; 00-01; 99-00;
Keywords: طبقه بندی نامتعادل; Deep learning; Convolutional neural network; Imbalanced classification; Visualization; Intelligent fault diagnosis;
Keywords: طبقه بندی نامتعادل; Machine learning; Natural language processing; Imbalanced classification; Multi-class imbalance; Ensemble learning; One-class classification; Class label noise; Word sense disambiguation;
Keywords: طبقه بندی نامتعادل; Imbalanced classification; Ensembles; Preprocessing; Class Switching;
Keywords: طبقه بندی نامتعادل; Liver transplantation; Transplant recipient; Survival analysis; Machine learning; Support vector machines; Semi-supervised learning; Imbalanced classification;
Keywords: طبقه بندی نامتعادل; Artificial neural networks; Ordinal classification; Imbalanced classification; Survival analysis; Liver transplantation;
Keywords: طبقه بندی نامتعادل; Classification metrics; Imbalanced classification; Accuracy;
Keywords: طبقه بندی نامتعادل; EEG; Seizure detection; Imbalanced classification; Weighted ELM; Wavelet packet transform;
Keywords: طبقه بندی نامتعادل; Machine Learning; Classifier ensemble; Imbalanced classification; Evolutionary algorithms; Clinical decision support; Breast cancer
Keywords: طبقه بندی نامتعادل; Machine learning; Imbalanced classification; Multi-class imbalance; Oversampling; Minority class types
Keywords: طبقه بندی نامتعادل; Classifier ensemble; Imbalanced classification; Cost-sensitive classification; Ensemble pruning; Evolutionary algorithm; Breast cancer detection; Thermogram;
Keywords: طبقه بندی نامتعادل; Imbalanced classification; IBFSVM; Affective detection; Galvanic skin response;
Keywords: طبقه بندی نامتعادل; Multilabel classification; Imbalanced classification; Resampling algorithms; Undersampling; Oversampling
Keywords: طبقه بندی نامتعادل; Breast cancer; Thermography; Pattern classification; Imbalanced classification; Multiple classifier system; Image features
Keywords: طبقه بندی نامتعادل; Hybrid intelligence; Financial default prediction; Least Squares Support Vector Machine; Differential Evolution; Imbalanced classification
Keywords: طبقه بندی نامتعادل; Machine learning; Multiple classifier system; Ensemble classifier; Imbalanced classification; Cost-sensitive classification; Decision tree; Classifier selection; Evolutionary algorithms; Classifier fusion
Keywords: طبقه بندی نامتعادل; Ensemble Learning; Imbalanced classification; Resampling scale
Keywords: طبقه بندی نامتعادل; Customer Relationship Management; Classification; Feature selection; Imbalanced classification; Ensemble classification;
Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates
Keywords: طبقه بندی نامتعادل; Enterprise credit evaluation; Decision tree ensemble; SMOTE; Bagging; Differentiated sampling rates; Imbalanced classification;
KRNN: k Rare-class Nearest Neighbour classification
Keywords: طبقه بندی نامتعادل; Imbalanced classification; Nearest neighbour classification; KNN; Re-sampling; Cost-sensitive learning;
Dual autoencoders features for imbalance classification problem
Keywords: طبقه بندی نامتعادل; Imbalanced Classification; Feature Learning; Stacked Autoencoder
Re-scale AdaBoost for attack detection in collaborative filtering recommender systems
Keywords: طبقه بندی نامتعادل; Recommender system; Attack detection; Re-scale Boosting; Imbalanced classification; Detection rate
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
Keywords: طبقه بندی نامتعادل; Imbalanced classification; Borderline examples; Noisy data; Noise filters; SMOTE
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection
Keywords: طبقه بندی نامتعادل; Imbalanced classification; SMOTE; Prototype selection; Fuzzy rough set theory
An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data
Keywords: طبقه بندی نامتعادل; High-throughput screening; Under-sampling; Over-sampling; PubChem; Imbalanced classification
PDFOS: PDF estimation based over-sampling for imbalanced two-class problems
Keywords: طبقه بندی نامتعادل; Imbalanced classification; Probability density function based over-sampling; Radial basis function classifier; Orthogonal forward selection; Particle swarm optimisation
ForesTexter: An efficient random forest algorithm for imbalanced text categorization
Keywords: طبقه بندی نامتعادل; Text categorization; Imbalanced classification; Random forests; SVM; Stratified sampling
Evolutionary-based selection of generalized instances for imbalanced classification
Keywords: طبقه بندی نامتعادل; Nested generalized exemplar learning; Imbalanced classification; Evolutionary algorithms; Instance selection; Rule induction
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems
Keywords: طبقه بندی نامتعادل; Imbalanced classification; Synthetic minority over-sampling technique; Radial basis function classifier; Orthogonal forward selection; Particle swarm optimisation
A novel modular neural network for imbalanced classification problems
Keywords: طبقه بندی نامتعادل; Modular neural networks; Imbalanced classification; Time consumption; Classification performance
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems
Keywords: طبقه بندی نامتعادل; Evolutionary algorithms; Imbalanced classification; Data reduction; Training set selection; Decision trees; Rule induction