Stefan Lessmann

Björn Stöcker

Inf. Syst. Frontiers, June, 2024

Improving uplift model evaluation on randomized controlled trial data.

[BibT_eX]

[DOI]

Björn Bokelmann

Eur. J. Oper. Res., March, 2024

Fx-spot predictions with state-of-the-art transformer and time embeddings.

[BibT_eX]

[DOI]

Tizian Fischer

Marius Sterling

Expert Syst. Appl., 2024

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2024

How much do we really know about Structure Learning from i.i.d. Data? Interpretable, multi-dimensional Performance Indicator for Causal Discovery.

[BibT_eX]

[DOI]

Georg Velev

CoRR, 2024

Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Zero-Shot Prompting for Efficient Language Model Distillation.

[BibT_eX]

[DOI]

Lukas Vöge

Vincent Gurgul

CoRR, 2024

2023

Data-driven support for policy and decision-making in university research management: A case study from Germany.

[BibT_eX]

[DOI]

Alona Zharova

Eur. J. Oper. Res., July, 2023

The impact of heteroskedasticity on uplift modeling.

[BibT_eX]

[DOI]

Björn Bokelmann

CoRR, 2023

Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text Data.

[BibT_eX]

[DOI]

Vincent Gurgul

CoRR, 2023

Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Document Analytics for Banking Process Automation.

[BibT_eX]

[DOI]

Christopher Gerling

CoRR, 2023

The Deep Promotion Time Cure Model.

[BibT_eX]

[DOI]

Victor Medina-Olivares

Nadja Klein

CoRR, 2023

2022

Deep learning for survival and competing risk modelling.

[BibT_eX]

[DOI]

Gabriel Blumenstock

Hsin-Vonn Seow

J. Oper. Res. Soc., 2022

Usage Continuance in Software-as-a-Service.

[BibT_eX]

[DOI]

Elias Baumann

Jana Kern

Inf. Syst. Frontiers, 2022

Fairness in credit scoring: Assessment, implementation and profit implications.

[BibT_eX]

[DOI]

Johannes Jacob

Eur. J. Oper. Res., 2022

Targeting customers under response-dependent costs.

[BibT_eX]

[DOI]

Johannes Haupt

Eur. J. Oper. Res., 2022

A Data-driven Case-based Reasoning in Bankruptcy Prediction.

[BibT_eX]

[DOI]

Wei Li

CoRR, 2022

Modeling Irregular Time Series with Continuous Recurrent Units.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters.

[BibT_eX]

[DOI]

Inf. Syst. Frontiers, 2021

Targeting customers for profit: An ensemble learning framework to support marketing decision-making.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Enterprise-grade protection against e-mail tracking.

[BibT_eX]

[DOI]

Inf. Syst., 2021

Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning.

[BibT_eX]

[DOI]

Justin Engelmann

Expert Syst. Appl., 2021

Uplift modeling with value-driven evaluation metrics.

[BibT_eX]

[DOI]

Decis. Support Syst., 2021

Leveraging Image-based Generative Adversarial Networks for Time Series Generation.

[BibT_eX]

[DOI]

Justin Hellermann

CoRR, 2021

Personalization in E-Grocery: Top-N versus Top-k Rankings.

[BibT_eX]

[DOI]

Franziska Scherpinski

CoRR, 2021

2020

Predicting online shopping behaviour from clickstream data using deep learning.

[BibT_eX]

[DOI]

Dennis Koehn

Markus Schaal

Expert Syst. Appl., 2020

Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2020

Response transformation and profit decomposition for revenue uplift modeling.

[BibT_eX]

[DOI]

Szymon Jaroszewicz

Eur. J. Oper. Res., 2020

Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach.

[BibT_eX]

[DOI]

Koen W. De Bock

Kristof Coussement

Eur. J. Oper. Res., 2020

Antisocial online behavior detection using deep learning.

[BibT_eX]

[DOI]

Elizaveta Zinovyeva

Decis. Support Syst., 2020

Deep learning for detecting financial statement fraud.

[BibT_eX]

[DOI]

Patricia Craja

Alisa Kim

Decis. Support Syst., 2020

Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid.

[BibT_eX]

[DOI]

Marius Lux

Comput. Stat., 2020

To Use or not to Use: the Relationship between Personality Traits and Instagram Usage.

[BibT_eX]

[DOI]

Carlos Jennewein

Annika Baumann

Proceedings of the Entwicklungen, 2020

Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring.

[BibT_eX]

[DOI]

Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Uplift Forest for Multiple Treatments and Continuous Outcomes.

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Information Systems, 2020

Interpretable Multiple Treatment Revenue Uplift Modeling.

[BibT_eX]

[DOI]

Proceedings of the 26th Americas Conference on Information Systems, 2020

2019

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach.

[BibT_eX]

[DOI]

Inf. Syst. E Bus. Manag., 2019

Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies.

[BibT_eX]

[DOI]

Int. J. Inf. Technol. Decis. Mak., 2019

A multi-objective approach for profit-driven feature selection in credit scoring.

[BibT_eX]

[DOI]

Yiannis Gatsoulis

Bart Baesens

Decis. Support Syst., 2019

Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis.

[BibT_eX]

[DOI]

CoRR, 2019

Evaluating software defect prediction performance: an updated benchmarking study.

[BibT_eX]

[DOI]

Libo Li

Bart Baesens

CoRR, 2019

The Price of Privacy - An Evaluation of the Economic Value of Collecting Clickstream Data.

[BibT_eX]

[DOI]

Bus. Inf. Syst. Eng., 2019

Shallow Self-learning for Reject Inference in Credit Scoring.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Affordable Uplift: Supervised Randomization in Controlled Experiments.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Information Systems, 2019

Metaheuristics and Classifier Ensembles.

[BibT_eX]

[DOI]

Ringolf Thomschke

Proceedings of the Business and Consumer Analytics: New Ideas, 2019

2018

Changing perspectives: Using graph metrics to predict purchase probabilities.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Robust identification of email tracking: A machine learning approach.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2018

Improving crime count forecasts using Twitter and taxi data.

[BibT_eX]

[DOI]

Lara Vomfell

Decis. Support Syst., 2018

Profit-Oriented Feature Selection in Credit Scoring Applications.

[BibT_eX]

[DOI]

Bart Baesens

Proceedings of the Operations Research Proceedings 2018, 2018

Track and Treat - Usage of E-Mail Tracking for Newsletter Individualization.

[BibT_eX]

[DOI]

Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

2017

Approaches for credit scorecard calibration: An empirical analysis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Extreme learning machines for credit scoring: An empirical evaluation.

[BibT_eX]

[DOI]

Artem Bequé

Expert Syst. Appl., 2017

A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry.

[BibT_eX]

[DOI]

Kristof Coussement

Geert Verstraeten

Decis. Support Syst., 2017

Revenue Uplift Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information Systems, 2017

To Phub or not to Phub: Understanding off-Task Smartphone Usage and its Consequences in the Academic Environment.

[BibT_eX]

[DOI]

Proceedings of the 25th European Conference on Information Systems, 2017

2016

Bridging the divide in financial market forecasting: machine learners vs. financial economists.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

E-Mail Tracking: Status Quo and Novel Countermeasures.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information Systems, 2016

Data-Driven Product returns Prediction: a Cloud-based Ensemble Selection Approach.

[BibT_eX]

[DOI]

Proceedings of the 24th European Conference on Information Systems, 2016

Twitter and the Political Landscape - a Graph Analysis of German Politicians.

[BibT_eX]

[DOI]

Proceedings of the 24th European Conference on Information Systems, 2016

2015

Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2015

Sales Forecasting with Partial Recurrent Neural Networks: Empirical Insights and Benchmarking Results.

[BibT_eX]

[DOI]

Moritz Müller-Navarra

Stefan Voss

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Conference on Information Systems, 2015

2013

A memetic approach to construct transductive discrete support vector machines.

[BibT_eX]

[DOI]

Hubertus Brandner

Eur. J. Oper. Res., 2013

Modelling Mismatch In Predictive Analytics: A Case Study Illustration And Possible Remedy.

[BibT_eX]

[DOI]

Proceedings of the 21st European Conference on Information Systems, 2013

2012

Save the best for last? The treatment of dominant predictors in financial forecasting.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction.

[BibT_eX]

[DOI]

Tiejun Ma

Eur. J. Oper. Res., 2012

2011

Towards a methodology for measuring the true degree of efficiency in a speculative market.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2011

Tuning metaheuristics: A data mining based approach for particle swarm optimization.

[BibT_eX]

[DOI]

Marco Caserta

Idel Montalvo Arango

Expert Syst. Appl., 2011

Support of Managerial Decision Making by Transductive Learning.

[BibT_eX]

[DOI]

Hubertus Brandner

Proceedings of the 10. Internationale Tagung Wirtschaftsinformatik, 2011

2010

Data Mining and Information Systems: Quo Vadis?

[BibT_eX]

[DOI]

Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Customer-Centric Decision Support.

[BibT_eX]

[DOI]

Bus. Inf. Syst. Eng., 2010

Decision Support in Car Leasing: a Forecasting Model for Residual Value Estimation.

[BibT_eX]

[DOI]

Mariana Listiani

Proceedings of the International Conference on Information Systems, 2010

2009

Kostensensitive Klassifikation mit <i>Random Forest</i>.

[BibT_eX]

[DOI]

Sebastian Schüller

HMD Prax. Wirtsch., 2009

A reference model for customer-centric data mining with support vector machines.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2009

Identifying winners of competitive events: A SVM-based classification model for horserace prediction.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2009

A Case Study of Random Forest in Predictive Data Mining.

[BibT_eX]

[DOI]

Sebastian Schüller

Proceedings of the Business Services: Konzepte, 2009

Feature Selection in Marketing Applications.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2008

Crowdsourcing: Systematisierung praktischer Ausprägungen und verwandter Konzepte.

[BibT_eX]

[DOI]

Nicole Martin

Proceedings of the Multikonferenz Wirtschaftsinformatik, 2008

A Case Study of Core Vector Machines in Corporate Data Mining.

[BibT_eX]

[DOI]

Ning Li

Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

A Novel Approach to Construct Discrete Support Vector Machine Classifiers.

[BibT_eX]

[DOI]

Marco Caserta

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2006

The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2006

Genetic Algorithms for Support Vector Machine Model Selection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction.

[BibT_eX]

[DOI]

Swantje Pietsch

Proceedings of the International Joint Conference on Neural Networks, 2006

Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting.

[BibT_eX]

Swantje Pietsch

Proceedings of the 2006 International Conference on Data Mining, 2006

2005

Genetically Constructed Kernels for Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Operations Research Proceedings 2005, 2005

Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning.

[BibT_eX]

Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms.

[BibT_eX]

Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

2004

Solving Imbalanced Classification Problems with Support Vector Machines.

[BibT_eX]