Stefan Lessmann

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 67

Top Topics

Churn Prediction

Ensemble Selection

Top Venues

Eur. J. Oper. Res.

Decis. Support Syst.

Expert Syst. Appl.

Publications

Lukas Vöge, Vincent Gurgul, Stefan Lessmann
Leveraging Zero-Shot Prompting for Efficient Language Model Distillation. CoRR (2024)
Robin Marco Gubela, Stefan Lessmann, Björn Stöcker
Multiple Treatment Modeling for Target Marketing Campaigns: A Large-Scale Benchmark Study. Inf. Syst. Frontiers 26 (3) (2024)
Tizian Fischer, Marius Sterling, Stefan Lessmann
Fx-spot predictions with state-of-the-art transformer and time embeddings. Expert Syst. Appl. 249 (2024)
Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. Ann. Oper. Res. 339 (1-2) (2024)
Björn Bokelmann, Stefan Lessmann
Improving uplift model evaluation on randomized controlled trial data. Eur. J. Oper. Res. 313 (2) (2024)
Nikita Kozodoi, Stefan Lessmann, Morteza Alamgir, Luís Moreira-Matias, Konstantinos Papakonstantinou
Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models. CoRR (2024)
Vincent Gurgul, Stefan Lessmann, Wolfgang Karl Härdle
Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text Data. CoRR (2023)
Christopher Gerling, Stefan Lessmann
Multimodal Document Analytics for Banking Process Automation. CoRR (2023)
Björn Bokelmann, Stefan Lessmann
The impact of heteroskedasticity on uplift modeling. CoRR (2023)
Savina Dine Kim, Stefan Lessmann, Galina Andreeva, Michael Rovatsos
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity. CoRR (2023)
Victor Medina-Olivares, Stefan Lessmann, Nadja Klein
The Deep Promotion Time Cure Model. CoRR (2023)
Alona Zharova, Wolfgang Karl Härdle, Stefan Lessmann
Data-driven support for policy and decision-making in university research management: A case study from Germany. Eur. J. Oper. Res. 308 (1) (2023)
Nikita Kozodoi, Johannes Jacob, Stefan Lessmann
Fairness in credit scoring: Assessment, implementation and profit implications. Eur. J. Oper. Res. 297 (3) (2022)
Wei Li, Wolfgang Karl Härdle, Stefan Lessmann
A Data-driven Case-based Reasoning in Bankruptcy Prediction. CoRR (2022)
Elias Baumann, Jana Kern, Stefan Lessmann
Usage Continuance in Software-as-a-Service. Inf. Syst. Frontiers 24 (1) (2022)
Gabriel Blumenstock, Stefan Lessmann, Hsin-Vonn Seow
Deep learning for survival and competing risk modelling. J. Oper. Res. Soc. 73 (1) (2022)
Mona Schirmer, Mazin Eltayeb, Stefan Lessmann, Maja Rudolph
Modeling Irregular Time Series with Continuous Recurrent Units. ICML (2022)
Johannes Haupt, Stefan Lessmann
Targeting customers under response-dependent costs. Eur. J. Oper. Res. 297 (1) (2022)
Nikita Kozodoi, Johannes Jacob, Stefan Lessmann
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications. CoRR (2021)
Shalak Mendon, Pankaj Dutta, Abhishek Behl, Stefan Lessmann
A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters. Inf. Syst. Frontiers 23 (5) (2021)
Benjamin Fabian, Benedict Bender, Ben Hesseldieck, Johannes Haupt, Stefan Lessmann
Enterprise-grade protection against e-mail tracking. Inf. Syst. 97 (2021)
Justin Engelmann, Stefan Lessmann
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning. Expert Syst. Appl. 174 (2021)
Robin Marco Gubela, Stefan Lessmann
Interpretable Multiple Treatment Revenue Uplift Modeling. CoRR (2021)
Mona Schirmer, Mazin Eltayeb, Stefan Lessmann, Maja Rudolph
Modeling Irregular Time Series with Continuous Recurrent Units. CoRR (2021)
Justin Hellermann, Stefan Lessmann
Leveraging Image-based Generative Adversarial Networks for Time Series Generation. CoRR (2021)
Franziska Scherpinski, Stefan Lessmann
Personalization in E-Grocery: Top-N versus Top-k Rankings. CoRR (2021)
Stefan Lessmann, Johannes Haupt, Kristof Coussement, Koen W. De Bock
Targeting customers for profit: An ensemble learning framework to support marketing decision-making. Inf. Sci. 557 (2021)
Robin Marco Gubela, Stefan Lessmann
Uplift modeling with value-driven evaluation metrics. Decis. Support Syst. 150 (2021)
Robin Marco Gubela, Stefan Lessmann
Uplift Forest for Multiple Treatments and Continuous Outcomes. ICIS (2020)
Elizaveta Zinovyeva, Wolfgang Karl Härdle, Stefan Lessmann
Antisocial online behavior detection using deep learning. Decis. Support Syst. 138 (2020)
Patricia Craja, Alisa Kim, Stefan Lessmann
Deep learning for detecting financial statement fraud. Decis. Support Syst. 139 (2020)
Robin Marco Gubela, Stefan Lessmann
Interpretable Multiple Treatment Revenue Uplift Modeling. AMCIS (2020)
Dennis Koehn, Stefan Lessmann, Markus Schaal
Predicting online shopping behaviour from clickstream data using deep learning. Expert Syst. Appl. 150 (2020)
Marius Lux, Wolfgang Karl Härdle, Stefan Lessmann
Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid. Comput. Stat. 35 (3) (2020)
Robin Marco Gubela, Stefan Lessmann, Szymon Jaroszewicz
Response transformation and profit decomposition for revenue uplift modeling. Eur. J. Oper. Res. 283 (2) (2020)
Justin Engelmann, Stefan Lessmann
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning. CoRR (2020)
Koen W. De Bock, Kristof Coussement, Stefan Lessmann
Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach. Eur. J. Oper. Res. 285 (2) (2020)
Alisa Kim, Y. Yang, Stefan Lessmann, Tiejun Ma, Ming-Chien Sung, Johnnie E. V. Johnson
Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. Eur. J. Oper. Res. 283 (1) (2020)
Nikita Kozodoi, Stefan Lessmann
Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring. MIDAS@PKDD/ECML (2020)
Carlos Jennewein, Annika Baumann, Stefan Lessmann
To Use or not to Use: the Relationship between Personality Traits and Instagram Usage. Wirtschaftsinformatik (Zentrale Tracks) (2020)
C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. CoRR (2019)
Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou
Shallow Self-learning for Reject Inference in Credit Scoring. ECML/PKDD (3) (2019)
Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou
Shallow Self-Learning for Reject Inference in Credit Scoring. CoRR (2019)
Johannes Haupt, Daniel Jacob, Robin Marco Gubela, Stefan Lessmann
Affordable Uplift: Supervised Randomization in Controlled Experiments. ICIS (2019)
Libo Li, Stefan Lessmann, Bart Baesens
Evaluating software defect prediction performance: an updated benchmarking study. CoRR (2019)
Abhishek Behl, Pankaj Dutta, Stefan Lessmann, Yogesh K. Dwivedi, Samarjit Kar
A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach. Inf. Syst. E Bus. Manag. 17 (2-4) (2019)
Annika Baumann, Johannes Haupt, Fabian Gebert, Stefan Lessmann
The Price of Privacy - An Evaluation of the Economic Value of Collecting Clickstream Data. Bus. Inf. Syst. Eng. 61 (4) (2019)
Robin Marco Gubela, Stefan Lessmann, Szymon Jaroszewicz
Response Transformation and Profit Decomposition for Revenue Uplift Modeling. CoRR (2019)
Robin Marco Gubela, Artem Bequé, Stefan Lessmann, Fabian Gebert
Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies. Int. J. Inf. Technol. Decis. Mak. 18 (3) (2019)
Johannes Haupt, Daniel Jacob, Robin Marco Gubela, Stefan Lessmann
Affordable Uplift: Supervised Randomization in Controlled Experiments. CoRR (2019)
Nikita Kozodoi, Stefan Lessmann, Konstantinos Papakonstantinou, Yiannis Gatsoulis, Bart Baesens
A multi-objective approach for profit-driven feature selection in credit scoring. Decis. Support Syst. 120 (2019)
Benedict Bender, Benjamin Fabian, Johannes Haupt, Stefan Lessmann
Track and Treat - Usage of E-Mail Tracking for Newsletter Individualization. ECIS (2018)
Annika Baumann, Johannes Haupt, Fabian Gebert, Stefan Lessmann
Changing perspectives: Using graph metrics to predict purchase probabilities. Expert Syst. Appl. 94 (2018)
Johannes Haupt, Benedict Bender, Benjamin Fabian, Stefan Lessmann
Robust identification of email tracking: A machine learning approach. Eur. J. Oper. Res. 271 (1) (2018)
Nikita Kozodoi, Stefan Lessmann, Bart Baesens, Konstantinos Papakonstantinou
Profit-Oriented Feature Selection in Credit Scoring Applications. OR (2018)
Johannes Haupt, Benedict Bender, Benjamin Fabian, Stefan Lessmann
Robust identification of email tracking: A machine learning approach. CoRR (2018)
Lara Vomfell, Wolfgang Karl Härdle, Stefan Lessmann
Improving crime count forecasts using Twitter and taxi data. Decis. Support Syst. 113 (2018)
Artem Bequé, Stefan Lessmann
Extreme learning machines for credit scoring: An empirical evaluation. Expert Syst. Appl. 86 (2017)
Olga Abramova, Annika Baumann, Hanna Krasnova, Stefan Lessmann
To Phub or not to Phub: Understanding off-Task Smartphone Usage and its Consequences in the Academic Environment. ECIS (2017)
Artem Bequé, Kristof Coussement, Ross W. Gayler, Stefan Lessmann
Approaches for credit scorecard calibration: An empirical analysis. Knowl. Based Syst. 134 (2017)
Robin Marco Gubela, Stefan Lessmann, Johannes Haupt, Annika Baumann, Tillmann Radmer, Fabian Gebert
Revenue Uplift Modeling. ICIS (2017)
Kristof Coussement, Stefan Lessmann, Geert Verstraeten
A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry. Decis. Support Syst. 95 (2017)
Ming-Wei Hsu, Stefan Lessmann, Ming-Chien Sung, Tiejun Ma, Johnnie E. V. Johnson
Bridging the divide in financial market forecasting: machine learners vs. financial economists. Expert Syst. Appl. 61 (2016)
Benedict Bender, Benjamin Fabian, Stefan Lessmann, Johannes Haupt
E-Mail Tracking: Status Quo and Novel Countermeasures. ICIS (2016)
Leonard Heilig, Julien Hofer, Stefan Lessmann, Stefan Voß
Data-Driven Product returns Prediction: a Cloud-based Ensemble Selection Approach. ECIS (2016)
Annika Baumann, Benjamin Fabian, Stefan Lessmann, Lars Holzberg
Twitter and the Political Landscape - a Graph Analysis of German Politicians. ECIS (2016)
Stefan Lessmann, Bart Baesens, Hsin-Vonn Seow, Lyn C. Thomas
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research. Eur. J. Oper. Res. 247 (1) (2015)
Annika Baumann, Stefan Lessmann, Kristof Coussement, Koen W. De Bock
Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection. ECIS (2015)
Moritz Müller-Navarra, Stefan Lessmann, Stefan Voss
Sales Forecasting with Partial Recurrent Neural Networks: Empirical Insights and Benchmarking Results. HICSS (2015)
Stefan Lessmann
Modelling Mismatch In Predictive Analytics: A Case Study Illustration And Possible Remedy. ECIS (2013)
Hubertus Brandner, Stefan Lessmann, Stefan Voß
A memetic approach to construct transductive discrete support vector machines. Eur. J. Oper. Res. 230 (3) (2013)
Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson, Tiejun Ma
A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction. Eur. J. Oper. Res. 218 (1) (2012)
Ming-Chien Sung, Stefan Lessmann
Save the best for last? The treatment of dominant predictors in financial forecasting. Expert Syst. Appl. 39 (15) (2012)
Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson
Towards a methodology for measuring the true degree of efficiency in a speculative market. J. Oper. Res. Soc. 62 (12) (2011)
Hubertus Brandner, Stefan Lessmann, Stefan Voß
Support of Managerial Decision Making by Transductive Learning. Wirtschaftsinformatik (2011)
Stefan Lessmann, Marco Caserta, Idel Montalvo Arango
Tuning metaheuristics: A data mining based approach for particle swarm optimization. Expert Syst. Appl. 38 (10) (2011)
Stefan Lessmann, Stefan Voß
Customer-Centric Decision Support. Bus. Inf. Syst. Eng. 2 (2) (2010)
Stefan Lessmann, Mariana Listiani, Stefan Voß
Decision Support in Car Leasing: a Forecasting Model for Residual Value Estimation. ICIS (2010)
Stefan Lessmann, Stefan Voß
A reference model for customer-centric data mining with support vector machines. Eur. J. Oper. Res. 199 (2) (2009)
Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson
Identifying winners of competitive events: A SVM-based classification model for horserace prediction. Eur. J. Oper. Res. 196 (2) (2009)
Stefan Lessmann, Sebastian Schüller, Stefan Voß
. HMD Prax. Wirtsch. 268 (2009)
Stefan Lessmann, Stefan Voß
Feature Selection in Marketing Applications. ADMA (2009)
Sebastian Schüller, Stefan Lessmann, Stefan Voß
A Case Study of Random Forest in Predictive Data Mining. Wirtschaftsinformatik (2) (2009)
Marco Caserta, Stefan Lessmann, Stefan Voß
A Novel Approach to Construct Discrete Support Vector Machine Classifiers. GfKl (2008)
Stefan Lessmann, Ning Li, Stefan Voß
A Case Study of Core Vector Machines in Corporate Data Mining. HICSS (2008)
Stefan Lessmann, Bart Baesens, Christophe Mues, Swantje Pietsch
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings. IEEE Trans. Software Eng. 34 (4) (2008)
Nicole Martin, Stefan Lessmann, Stefan Voß
Crowdsourcing: Systematisierung praktischer Ausprägungen und verwandter Konzepte. Multikonferenz Wirtschaftsinformatik (2008)
Sven F. Crone, Stefan Lessmann, Swantje Pietsch
Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction. IJCNN (2006)
Sven F. Crone, Stefan Lessmann, Swantje Pietsch
Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting. DMIN (2006)
Sven F. Crone, Stefan Lessmann, Robert Stahlbock
The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. Eur. J. Oper. Res. 173 (3) (2006)
Stefan Lessmann, Robert Stahlbock, Sven F. Crone
Genetic Algorithms for Support Vector Machine Model Selection. IJCNN (2006)
Stefan Lessmann, Sven F. Crone, Robert Stahlbock
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. IJCNN (2006)
Stefan Lessmann, Robert Stahlbock, Sven F. Crone
Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. IC-AI (2005)
Robert Stahlbock, Stefan Lessmann, Sven F. Crone
Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning. IC-AI (2005)
Stefan Lessmann, Robert Stahlbock, Sven F. Crone
Genetically Constructed Kernels for Support Vector Machines. OR (2005)
Stefan Lessmann
Solving Imbalanced Classification Problems with Support Vector Machines. IC-AI (2004)