Keywords: داده های نامتعادل; Neural network; Gastrointestinal surgery; Imbalanced data; Predicting mortality;
مقالات ISI ترجمه شده داده های نامتعادل
مقالات ISI داده های نامتعادل (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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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: داده های نامتعادل; Pearson product-moment correlation; Imbalanced data; Clearness index; Dichotomous variable;
Keywords: داده های نامتعادل; Imbalanced data; Classification; Metric learning; Statistical machine learning; Uniform stability; Support vector data description;
Keywords: داده های نامتعادل; One-class classification; Imbalanced data; Multiple classifier systems; Small disjuncts; Within-class imbalance;
Keywords: داده های نامتعادل; Imbalanced data; Binary classification; Multiclass classification; Bagging ensembles; Resampling; Posterior calibration;
Keywords: داده های نامتعادل; Vehicle crashes; Injury severity classification; Imbalanced data; Machine learning; Data analytics; Automated vehicle safety;
Keywords: داده های نامتعادل; Ensemble; Deep learning; Imbalanced data; Cancer detection;
Keywords: داده های نامتعادل; Prognostics and health management; High-speed train; Fuzzy SVM; Fuzzy membership calculation; Imbalanced data;
Keywords: داده های نامتعادل; Classification; Imbalanced data; Learning analytics; Educational data mining;
Keywords: داده های نامتعادل; Multi-class classification; Imbalanced data; Overlapping group lasso; Weighted gene co-expression networks;
Keywords: داده های نامتعادل; Network traffic; Malicious apps; Imbalanced data; Malware detection; Machine learning;
Keywords: داده های نامتعادل; Fuzzy rules; Imbalanced data; Missing values; Attribute correlation; Synthesize minority instances;
Keywords: داده های نامتعادل; Sentiment analysis; Label propagation; Imbalanced data; Ensemble learning;
Keywords: داده های نامتعادل; Imbalanced data; Pattern classification; Fisher linear discriminant; Regularization; Heuristic learning;
Keywords: داده های نامتعادل; Class imbalance; Imbalanced data; Machine learning; Clustering; Classifier ensembles;
Keywords: داده های نامتعادل; Parkinson's disease; Imbalanced data; Extreme learning machine; Artificial bee colony; Feature selection;
Keywords: داده های نامتعادل; Multivariate time series; Early classification; Imbalanced data;
Support vector machine and its bias correction in high-dimension, low-sample-size settings
Keywords: داده های نامتعادل; primary; 62H30; secondary; 62G20; Distance-based classifier; HDLSS; Imbalanced data; Large p small n; Multiclass classification;
Keywords: داده های نامتعادل; Neural networks; Classification; Feature; Imbalanced data; Metabolite; Pathway;
Keywords: داده های نامتعادل; Data gravitation; Imbalanced data; Machine learning; Traffic identification;
Keywords: داده های نامتعادل; Classification; Imbalanced data; Osteoporosis; Performance measures; Sampling methods;
Keywords: داده های نامتعادل; Rare events; Imbalanced data; Machine learning; Data mining;
Keywords: داده های نامتعادل; Imbalanced data; re-sampling; classifier ensemble; under-sampling
Keywords: داده های نامتعادل; Multi-instance learning; Fuzzy rough set theory; Imbalanced data;
Keywords: داده های نامتعادل; Imbalanced data; Data mining; Clustering; Model selection;
Keywords: داده های نامتعادل; Ozone level forecasting; Classification; Artificial intelligence; Re-sampling; Imbalanced data; Ensemble models;
Keywords: داده های نامتعادل; Imbalanced data; Multiple classifier system; Adaptive learning; Oil reservoir;
Keywords: داده های نامتعادل; Imbalanced data; Sampling; Support vector machine;
Keywords: داده های نامتعادل; Software defect prediction; Naive Bayes; PROMISE repository; Imbalanced data; Improving Recall; Association mining
Keywords: داده های نامتعادل; Imbalanced data; Arguments expressing expert knowledge; Argument based learning; Rule induction; Identification of examples for argumentation
Keywords: داده های نامتعادل; Support Vector Machines; Bayes error; Imbalanced data; Decision boundary shift; Unequal costs; Multi-class classification
Keywords: داده های نامتعادل; Imbalanced data; Classification; Ensemble learning
Keywords: داده های نامتعادل; Fixed radius search; Nearest neighbor rule; Imbalanced data; Pattern classification
Keywords: داده های نامتعادل; Partial classification; Imbalanced data; Multi-objective; Local search
Keywords: داده های نامتعادل; Binomial regression; Extreme value theory; Imbalanced data; Poisson point process; q-Exponential family
Keywords: داده های نامتعادل; Control chart; Pattern recognition; Weighted support vector machine; Classification; Imbalanced data; Quality control
Keywords: داده های نامتعادل; Data gravitation; Classification; Imbalanced data; Machine learning
Keywords: داده های نامتعادل; Breast cancer; Tissue protein; Imbalanced data; Cost-sensitive classifier; GentleBoost ensemble
Keywords: داده های نامتعادل; Bankruptcy prediction; Extreme gradient boosting; Synthetic features generation; Imbalanced data
Keywords: داده های نامتعادل; Multi-class classification; Imbalanced data; Ensemble learning; Binary decomposition; Classifier combination
Creating an efficient screening model for TRPV1 agonists using conformal prediction
Keywords: داده های نامتعادل; Transient receptor potential ion channel, Vanilloid type 1 (TRPV1) agonists; Mondrian Conformal Prediction; Random forest; RDKit descriptors; Imbalanced data;
A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data
Keywords: داده های نامتعادل; Credit classification; Imbalanced data; Deep belief network; Re-sampling; Revenue-sensitive ensemble learning; Support vector machine;
A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets
Keywords: داده های نامتعادل; Predictive modeling; Machine learning; Imbalanced data; Over-sampling; Support vector machines; Performance metrics;
A novel method for in silico identification of regulatory SNPs in human genome
Keywords: داده های نامتعادل; Imbalanced data; Hydroxyl radical cleavage patterns; Support vector machine; Position weight matrix;
RHSBoost: Improving classification performance in imbalance data
Keywords: داده های نامتعادل; Imbalanced data; AdaBoost; Ensemble; AUC; Undersampling; RHSBoost;
Computational model for vitamin D deficiency using hair mineral analysis
Keywords: داده های نامتعادل; Vitamin D deficiency; AdaBoost classifier; Classification; Bat Algorithm (BA); Genetic Algorithm (GA); Optimization algorithm; Imbalanced data; Random sampling;
A computational method for prediction of rSNPs in human genome
Keywords: داده های نامتعادل; Regulatory SNPs; Imbalanced data; Random forest; Hydroxyl radical cleavage patterns
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data
Keywords: داده های نامتعادل; Imbalanced data; Prototype selection; Prototype generation; Differential evolution; Nearest neighbor;
BPSO-Adaboost-KNN ensemble learning algorithm for multi-class imbalanced data classification
Keywords: داده های نامتعادل; Imbalanced data; Ensemble; Feature selection; Classification; Oil reservoir
Classification Restricted Boltzmann Machine for comprehensible credit scoring model
Keywords: داده های نامتعادل; Credit scoring; Comprehensible model; Restricted Boltzmann Machine; Imbalanced data;