Pages that link to "Item:Q4661113"
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The following pages link to Benchmarking state-of-the-art classification algorithms for credit scoring (Q4661113):
Displaying 48 items.
- Development and application of consumer credit scoring models using profit-based classification measures (Q144224) (← links)
- Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research (Q319944) (← links)
- An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market (Q320966) (← links)
- Mixture cure models in credit scoring: if and when borrowers default (Q439468) (← links)
- A successive linear approximation algorithm for the global minimization of a concave quadratic program (Q827382) (← links)
- A multicriteria approach for rating the credit risk of financial institutions (Q839849) (← links)
- Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms (Q856247) (← links)
- Credit scoring using support vector machines with direct search for parameters selection (Q1006913) (← links)
- Credit scoring for profitability objectives (Q1039802) (← links)
- A reference model for customer-centric data mining with support vector machines (Q1042173) (← links)
- Credit risk assessment using statistical and machine learning: Basic methodology and risk modeling applications (Q1578940) (← links)
- Neural network credit scoring models (Q1579020) (← links)
- A new approach for credit scoring by directly maximizing the Kolmogorov-Smirnov statistic (Q1727903) (← links)
- A prediction-driven mixture cure model and its application in credit scoring (Q1735161) (← links)
- Imbalanced classification in sparse and large behaviour datasets (Q1741360) (← links)
- The perspective of a bank in granting credits: an optimization model (Q1758026) (← links)
- A kernel-free double well potential support vector machine with applications (Q2029332) (← links)
- Predicting mortgage early delinquency with machine learning methods (Q2029349) (← links)
- Machine learning for credit scoring: improving logistic regression with non-linear decision-tree effects (Q2060438) (← links)
- Credit scoring based on the set-valued identification method (Q2220404) (← links)
- Deep learning for credit scoring: do or don't? (Q2239871) (← links)
- The value of text for small business default prediction: a deep learning approach (Q2239924) (← links)
- The naive Bayes classifier for functional data (Q2322657) (← links)
- Loan pricing under estimation risk (Q2397485) (← links)
- Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis (Q2418293) (← links)
- Model combination for credit risk assessment: a stacked generalization approach (Q2480229) (← links)
- Bayesian kernel based classification for financial distress detection (Q2488920) (← links)
- The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing (Q2497261) (← links)
- An Akaike information criterion for multiple event mixture cure models (Q2629687) (← links)
- What is at stake in the construction and use of credit scores? (Q2642594) (← links)
- Comprehensible credit scoring models using rule extraction from support vector machines (Q2643977) (← links)
- Adaptive credit scoring with kernel learning methods (Q2643984) (← links)
- Promoting variable effect consistency in mixture cure model for credit scoring (Q2669883) (← links)
- On Class Imbalance Correction for Classification Algorithms in Credit Scoring (Q2806890) (← links)
- Automated Credit Rating Prediction in a competitive framework (Q2954342) (← links)
- Assessing naïve Bayes as a method for screening credit applicants (Q3184467) (← links)
- FEATURE SELECTION VIA LEAST SQUARES SUPPORT FEATURE MACHINE (Q3503116) (← links)
- MONOTONIC SUPPORT VECTOR MACHINES FOR CREDIT RISK RATING (Q3646177) (← links)
- Does financial connectedness predict crises? (Q4683020) (← links)
- (Q5103817) (← links)
- CREDIT SCORING MODELS WITH AUC MAXIMIZATION BASED ON WEIGHTED SVM (Q5305099) (← links)
- Semiparametric Regression Models with Applications to Scoring: A Review (Q5438323) (← links)
- An application of locally linear model tree algorithm with combination of feature selection in credit scoring (Q5499826) (← links)
- Support vector machines for classifying and describing credit applicants: detecting typical and critical regions (Q5694074) (← links)
- Modeling and forecasting monthly average water levels based on the elliptic orbit model (Q6550346) (← links)
- Parallel construction of decision trees with consistently non-increasing expected number of tests (Q6574687) (← links)
- Lost in a black-box? Interpretable machine learning for assessing Italian SMEs default (Q6581548) (← links)
- Websites' data: a new asset for enhancing credit risk modeling (Q6666712) (← links)
