Search Results - "Verbeke, Wouter"

Cost-sensitive ensemble learning: a unifying framework by Petrides, George, Verbeke, Wouter

“…Over the years, a plethora of cost-sensitive methods have been proposed for learning on data when different types of misclassification errors incur different…”
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A survey and benchmarking study of multitreatment uplift modeling by Olaya, Diego, Coussement, Kristof, Verbeke, Wouter

“…Uplift modeling is an instrument used to estimate the change in outcome due to a treatment at the individual entity level. Uplift models assist decision-makers…”
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A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions by De Cauwer, Cedric, Verbeke, Wouter, Coosemans, Thierry, Faid, Saphir, Van Mierlo, Joeri

“…Limited driving range remains one of the barriers for widespread adoption of electric vehicles (EVs). To address the problem of range anxiety, this paper…”
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Data Mining Techniques for Software Effort Estimation: A Comparative Study by Dejaeger, K., Verbeke, W., Martens, D., Baesens, B.

“…A predictive model is required to be accurate and comprehensible in order to inspire confidence in a business setting. Both aspects have been assessed in a…”
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A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models by Verbraken, T., Verbeke, W., Baesens, B.

“…The interest for data mining techniques has increased tremendously during the past decades, and numerous classification techniques have been applied in a wide…”
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Claims fraud detection with uncertain labels by Vandervorst, Félix, Verbeke, Wouter, Verdonck, Tim

“…Insurance fraud is a non self-revealing type of fraud. The true historical labels (fraud or legitimate) are only as precise as the investigators’ efforts and…”
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Robust instance-dependent cost-sensitive classification by De Vos, Simon, Vanderschueren, Toon, Verdonck, Tim, Verbeke, Wouter

“…Instance-dependent cost-sensitive (IDCS) learning methods have proven useful for binary classification tasks where individual instances are associated with…”
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A study of the U.S. domestic air transportation network: temporal evolution of network topology and robustness from 2001 to 2016 by Siozos-Rousoulis, Leonidas, Robert, Dimitri, Verbeke, Wouter

“…The U.S. air transportation network (ATN) is critical to the mobility and the functioning of the United States. It is thus necessary to ensure that it is…”
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Conventional, Hybrid, or Electric Vehicles: Which Technology for an Urban Distribution Centre? by Verbeke, Wouter, Macharis, Cathy, Van Mierlo, Joeri, De Cauwer, Cedric, Lebeau, Philippe, Coosemans, Thierry

“…Freight transport has an important impact on urban welfare. It is estimated to be responsible for 25% of CO2 emissions and up to 50% of particles matters…”
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Treatment effect optimisation in dynamic environments by Berrevoets, Jeroen, Verboven, Sam, Verbeke, Wouter

“…Applying causal methods to fields such as healthcare, marketing, and economics receives increasing interest. In particular, optimising the…”
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Why you should stop predicting customer churn and start using uplift models by Devriendt, Floris, Berrevoets, Jeroen, Verbeke, Wouter

“…•Introduction of the maximum profit measure for evaluating uplift models.•Presentation of a real-world case study on uplift modeling for customer…”
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Instance-dependent cost-sensitive learning for detecting transfer fraud by Höppner, Sebastiaan, Baesens, Bart, Verbeke, Wouter, Verdonck, Tim

“…•An instance dependent cost matrix for transfer fraud detection is presented.•An instance-dependent threshold is derived.•Two instance-dependent cost-sensitive…”
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Sensor Locations for Reliable Travel Time Prediction and Dynamic Management of Traffic Networks by Viti, Francesco, Verbeke, Wouter, Tampère, Chris M. J.

“…State estimation and prediction models rely on the quality and the dissemination of the available traffic data. In complex networks, such as large urban areas,…”
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Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies by Vanderschueren, Toon, Verdonck, Tim, Baesens, Bart, Verbeke, Wouter

“…•Revision of literature on cost-sensitive machine learning.•Empirical comparison of different cost-sensitive learning strategies.•The decision-making strategy…”
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Fraud analytics: A decade of research by Bockel-Rickermann, Christopher, Verdonck, Tim, Verbeke, Wouter

“…The literature on fraud analytics and fraud detection has seen a substantial increase in output in the past decade. This has led to a wide range of research…”
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Social network analysis for customer churn prediction by Verbeke, Wouter, Martens, David, Baesens, Bart

“…•We examine the use of social network information for customer churn prediction.•We develop an alternative modeling approach using relational learning…”
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Building comprehensible customer churn prediction models with advanced rule induction techniques by Verbeke, Wouter, Martens, David, Mues, Christophe, Baesens, Bart

“…► The literature has paid very limited attention to the comprehensibility and justifiability of customer churn prediction models. ► ALBA improves learning,…”
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Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification by Raymaekers, Jakob, Verbeke, Wouter, Verdonck, Tim

“…In many practical applications, such as fraud detection, credit risk modeling or medical decision making, classification models for assigning instances to a…”
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Optimizing the preventive maintenance frequency with causal machine learning by Vanderschueren, Toon, Boute, Robert, Verdonck, Tim, Baesens, Bart, Verbeke, Wouter

“…Maintenance is a challenging operational problem where the goal is to plan sufficient preventive maintenance (PM) to avoid asset overhauls and failures…”
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Uplift Modeling for preventing student dropout in higher education by Olaya, Diego, Vásquez, Jonathan, Maldonado, Sebastián, Miranda, Jaime, Verbeke, Wouter

“…Uplift modeling is an approach for estimating the incremental effect of an action or treatment at the individual level. It has gained attention in the…”
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