Search Results - "T. Van Gestel"

Benchmarking state-of-the-art classification algorithms for credit scoring by Baesens, B, Van Gestel, T, Viaene, S, Stepanova, M, Suykens, J, Vanthienen, J

“…In this paper, we study the performance of various state-of-the-art classification algorithms applied to eight real-life credit scoring data sets. Some of the…”
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Decompositional Rule Extraction from Support Vector Machines by Active Learning by Martens, D., Baesens, B.B., Van Gestel, T.

“…Support vector machines (SVMs) are currently state-of-the-art for the classification task and, generally speaking, exhibit good predictive performance due to…”
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Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms by Hoffmann, F., Baesens, B., Mues, C., Van Gestel, T., Vanthienen, J.

“…Generating both accurate as well as explanatory classification rules is becoming increasingly important in a knowledge discovery context. In this paper, we…”
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Financial time series prediction using least squares support vector machines within the evidence framework by Van Gestel, T., Suykens, J.A.K., Baestaens, D.-E., Lambrechts, A., Lanckriet, G., Vandaele, B., De Moor, B., Vandewalle, J.

“…The Bayesian evidence framework is applied in this paper to least squares support vector machine (LS-SVM) regression in order to infer nonlinear models for…”
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Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis by Van Gestel, T, Suykens, J A K, Lanckriet, G, Lambrechts, A, De Moor, B, Vandewalle, J

“…The Bayesian evidence framework has been successfully applied to the design of multilayer perceptrons (MLPs) in the work of MacKay. Nevertheless, the training…”
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An Overview and Framework for PD Backtesting and Benchmarking by Castermans, G., Martens, D., Van Gestel, T., Hamers, B., Baesens, B.

“…In order to manage model risk, financial institutions need to set up validation processes so as to monitor the quality of the models on an ongoing basis…”
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Neural Network Survival Analysis for Personal Loan Data by B. Baesens, T. Van Gestel, Stepanova, M., D. Van den Poel, J. Vanthienen

“…Traditionally, credit scoring aimed at distinguishing good payers from bad payers at the time of the application. The timing when customers default is also…”
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Identification of positive real models in subspace identification by using regularization by Goethals, I., Van Gestel, T., Suykens, J., Van Dooren, P., De Moor, B.

“…In time-domain subspace methods for identifying linear-time invariant dynamical systems, the model matrices are typically estimated from least squares, based…”
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Fit4Surgery for cancer patients during covid-19 lockdown – A systematic review and meta-analysis by van Gestel, T., Groen, L.C.B., Puik, J.R., van Rooijen, S.J., van der Zaag-Loonen, H.J., Schoonmade, L.J., Danjoux, G., Daams, F., Schreurs, W.H., Bruns, E.R.J.

“…Prehabilitation is a promising method to enhance postoperative recovery, especially in patients suffering from cancer. Particularly during times of social…”
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Residual Stress Assessment for Thin 8YSZ Electrolytes Using Focused Ion Beam Milling and Digital Image Correlation by Malzbender, J., Van Gestel, T.

“…With respect to solid oxide fuel cell power density it has been verified that 1–2 μm thick 8YSZ electrolytes have significant advantages, offering the…”
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Strength enhancement of transparent spinel ceramics by Tokariev, O., Van Gestel, T., Bram, M., Malzbender, J.

“…The fracture strength is a critical parameter for the application of ceramics. The current work focuses on the strength improvement of a transparent MgAl2O4…”
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Credit rating prediction using Ant Colony Optimization by Martens, D, Van Gestel, T, De Backer, M, Haesen, R, Vanthienen, J, Baesens, B

“…The introduction of the Basel II Capital Accord has encouraged financial institutions to build internal rating systems assessing the credit risk of their…”
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A support vector machine formulation to PCA analysis and its kernel version by Suykens, J.A.K., Van Gestel, T., Vandewalle, J., De Moor, B.

“…In this paper, we present a simple and straightforward primal-dual support vector machine formulation to the problem of principal component analysis (PCA) in…”
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Identification of stable models in subspace identification by using regularization by Van Gestel, T., Suykens, J.A.K., Van Dooren, P., De Moor, B.

“…In subspace identification methods, the system matrices are usually estimated by least squares, based on estimated Kalman filter state sequences and the…”
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Corrosion properties of alumina and titania NF membranes by Van Gestel, Tim, Vandecasteele, Carlo, Buekenhoudt, Anita, Dotremont, Chris, Luyten, Jan, Van der Bruggen, Bart, Maes, Guido

“…The chemical stability of multilayer alumina and titania nanofiltration (NF) membranes, prepared by a sol–gel procedure was investigated. The membranes have…”
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Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines by Lu, C., Van Gestel, T., Suykens, J.A.K., Van Huffel, S., Vergote, I., Timmerman, D.

“…In this work, we develop and evaluate several least squares support vector machine (LS-SVM) classifiers within the Bayesian evidence framework, in order to…”
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Knowledge discovery in a direct marketing case using least squares support vector machines by Viaene, S., Baesens, B., Van Gestel, T., Suykens, J. A. K., Van den Poel, D., Vanthienen, J., De Moor, B., Dedene, G.

“…We study the problem of repeat‐purchase modeling in a direct marketing setting using Belgian data. More specifically, we investigate the detection and…”
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A Bayesian nonlinear support vector machine error correction model by Van Gestel, Tony, Espinoza, Marcelo, Baesens, Bart, Suykens, Johan A. K., Brasseur, Carine, De Moor, Bart

“…The use of linear error correction models based on stationarity and cointegration analysis, typically estimated with least squares regression, is a common…”
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Benchmarking Least Squares Support Vector Machine Classifiers by van Gestel, Tony, Suykens, Johan A.K., Baesens, Bart, Viaene, Stijn, Vanthienen, Jan, Dedene, Guido, de Moor, Bart, Vandewalle, Joos

“…In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic programming (QP) problem. In a modified…”
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P.216 - Functional and morphological improvement of skeletal muscle in Pompe disease after forced satellite cell activation by Schaaf, G., van Gestel, T., in ‘t Groen, S., van der Ploeg, A., Pijnappel, W.

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