Stefan Lessmann

122 papers A* 1B 4C 6Misc 3Journal 81Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	In the beginning was the Word: LLM-VaR and LLM-ES. Expert Syst. Appl. Daniel Traian Pele, Vlad Bolovaneanu, Min-Bin Lin, Rui Ren, Andrei Theodor Ginavar, Bruno Spilak, Alexandru-Victor Andrei, Filip-Mihai Toma, Stefan Lessmann, Wolfgang Karl Härdle
2026	J	`jnl`	Incorporating data drift to perform survival analysis on credit risk. CoRR Jianwei Peng, Stefan Lessmann
2026	J	`jnl`	Interpretable, multidimensional evaluation framework for causal discovery from observational i.i.d. data. Inf. Sci. Georg Velev, Stefan Lessmann
2026	J	`jnl`	Semi-structured multi-state delinquency model for mortgage default. CoRR Victor Medina-Olivares, Wangzhen Xia, Stefan Lessmann, Nadja Klein
2026	J	`jnl`	The State of Generative AI in Software Development: Insights from Literature and a Developer Survey. CoRR Vincent Gurgul, Robin Marco Gubela, Stefan Lessmann
2026	J	`jnl`	Uplift modeling with continuous treatments: A predict-then-optimize approach. Eur. J. Oper. Res. Simon De Vos, Christopher Bockel-Rickermann, Stefan Lessmann, Wouter Verbeke
2026	J	`jnl`	Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization. CoRR Vincent Gurgul, Ying Chen, Stefan Lessmann
2025	J	`jnl`	Fighting sampling bias: A framework for training and evaluating credit scoring models. Eur. J. Oper. Res. Nikita Kozodoi, Stefan Lessmann, Morteza Alamgir, Luís Moreira-Matias, Konstantinos Papakonstantinou
2025	J	`jnl`	Heteroscedasticity-aware stratified sampling to improve uplift modeling. Eur. J. Oper. Res. Björn Bokelmann, Stefan Lessmann
2025	J	`jnl`	Multimodal Document Analytics for Banking Process Automation. Inf. Fusion Christopher Gerling, Stefan Lessmann
2025	J	`jnl`	Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series. CoRR Georg Velev, Stefan Lessmann
2024	J	`jnl`	Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods. CoRR Alexandru-Victor Andrei, Georg Velev, Filip-Mihai Toma, Daniel Traian Pele, Stefan Lessmann
2024	J	`jnl`	Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 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
2024	J	`jnl`	Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. Ann. Oper. Res. C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
2024	J	`jnl`	Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models. CoRR Nikita Kozodoi, Stefan Lessmann, Morteza Alamgir, Luís Moreira-Matias, Konstantinos Papakonstantinou
2024	J	`jnl`	Fx-spot predictions with state-of-the-art transformer and time embeddings. Expert Syst. Appl. Tizian Fischer, Marius Sterling, Stefan Lessmann
2024	J	`jnl`	How much do we really know about Structure Learning from i.i.d. Data? Interpretable, multi-dimensional Performance Indicator for Causal Discovery. CoRR Georg Velev, Stefan Lessmann
2024	J	`jnl`	Improving uplift model evaluation on randomized controlled trial data. Eur. J. Oper. Res. Björn Bokelmann, Stefan Lessmann
2024	J	`jnl`	Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis. CoRR Christopher Gerling, Stefan Lessmann
2024	J	`jnl`	Leveraging Zero-Shot Prompting for Efficient Language Model Distillation. CoRR Lukas Vöge, Vincent Gurgul, Stefan Lessmann
2024	J	`jnl`	Multiple Treatment Modeling for Target Marketing Campaigns: A Large-Scale Benchmark Study. Inf. Syst. Frontiers Robin Marco Gubela, Stefan Lessmann, Björn Stöcker
2024	—	`conf`	Optimizing Household Energy Use: An Activity-based Recommendation System for Reducing CO2 Emissions. Wirtschaftsinformatik Alona Zharova, Laura Löschmann, Stefan Lessmann
2024	J	`jnl`	The Deep Promotion Time Cure Model. IEEE Trans. Neural Networks Learn. Syst. Victor Medina-Olivares, Stefan Lessmann, Nadja Klein
2024	J	`jnl`	Uplift modeling with continuous treatments: A predict-then-optimize approach. CoRR Simon De Vos, Christopher Bockel-Rickermann, Stefan Lessmann, Wouter Verbeke
2023	J	`jnl`	Data-driven support for policy and decision-making in university research management: A case study from Germany. Eur. J. Oper. Res. Alona Zharova, Wolfgang Karl Härdle, Stefan Lessmann
2023	J	`jnl`	Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity. CoRR Savina Dine Kim, Stefan Lessmann, Galina Andreeva, Michael Rovatsos
2023	J	`jnl`	Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text Data. CoRR Vincent Gurgul, Stefan Lessmann, Wolfgang Karl Härdle
2023	J	`jnl`	Multimodal Document Analytics for Banking Process Automation. CoRR Christopher Gerling, Stefan Lessmann
2023	J	`jnl`	The Deep Promotion Time Cure Model. CoRR Victor Medina-Olivares, Stefan Lessmann, Nadja Klein
2023	J	`jnl`	The impact of heteroskedasticity on uplift modeling. CoRR Björn Bokelmann, Stefan Lessmann
2022	J	`jnl`	A Data-driven Case-based Reasoning in Bankruptcy Prediction. CoRR Wei Li, Wolfgang Karl Härdle, Stefan Lessmann
2022	J	`jnl`	Deep learning for survival and competing risk modelling. J. Oper. Res. Soc. Gabriel Blumenstock, Stefan Lessmann, Hsin-Vonn Seow
2022	J	`jnl`	Fairness in credit scoring: Assessment, implementation and profit implications. Eur. J. Oper. Res. Nikita Kozodoi, Johannes Jacob, Stefan Lessmann
2022	A*	`conf`	Modeling Irregular Time Series with Continuous Recurrent Units. ICML Mona Schirmer, Mazin Eltayeb, Stefan Lessmann, Maja Rudolph
2022	J	`jnl`	Targeting customers under response-dependent costs. Eur. J. Oper. Res. Johannes Haupt, Stefan Lessmann
2022	J	`jnl`	Usage Continuance in Software-as-a-Service. Inf. Syst. Frontiers Elias Baumann, Jana Kern, Stefan Lessmann
2021	J	`jnl`	A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters. Inf. Syst. Frontiers Shalak Mendon, Pankaj Dutta, Abhishek Behl, Stefan Lessmann
2021	J	`jnl`	Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning. Expert Syst. Appl. Justin Engelmann, Stefan Lessmann
2021	J	`jnl`	Enterprise-grade protection against e-mail tracking. Inf. Syst. Benjamin Fabian, Benedict Bender, Ben Hesseldieck, Johannes Haupt, Stefan Lessmann
2021	J	`jnl`	Fairness in Credit Scoring: Assessment, Implementation and Profit Implications. CoRR Nikita Kozodoi, Johannes Jacob, Stefan Lessmann
2021	J	`jnl`	Interpretable Multiple Treatment Revenue Uplift Modeling. CoRR Robin Marco Gubela, Stefan Lessmann
2021	J	`jnl`	Leveraging Image-based Generative Adversarial Networks for Time Series Generation. CoRR Justin Hellermann, Stefan Lessmann
2021	J	`jnl`	Modeling Irregular Time Series with Continuous Recurrent Units. CoRR Mona Schirmer, Mazin Eltayeb, Stefan Lessmann, Maja Rudolph
2021	J	`jnl`	Personalization in E-Grocery: Top-N versus Top-k Rankings. CoRR Franziska Scherpinski, Stefan Lessmann
2021	J	`jnl`	Targeting customers for profit: An ensemble learning framework to support marketing decision-making. Inf. Sci. Stefan Lessmann, Johannes Haupt, Kristof Coussement, Koen W. De Bock
2021	J	`jnl`	Uplift modeling with value-driven evaluation metrics. Decis. Support Syst. Robin Marco Gubela, Stefan Lessmann
2020	J	`jnl`	Antisocial online behavior detection using deep learning. Decis. Support Syst. Elizaveta Zinovyeva, Wolfgang Karl Härdle, Stefan Lessmann
2020	J	`jnl`	Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. Eur. J. Oper. Res. Alisa Kim, Yaodong Yang, Stefan Lessmann, Tiejun Ma, Ming-Chien Sung, Johnnie E. V. Johnson
2020	J	`jnl`	Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning. CoRR Justin Engelmann, Stefan Lessmann
2020	J	`jnl`	Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach. Eur. J. Oper. Res. Koen W. De Bock, Kristof Coussement, Stefan Lessmann
2020	J	`jnl`	Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid. Comput. Stat. Marius Lux, Wolfgang Karl Härdle, Stefan Lessmann
2020	J	`jnl`	Deep learning for detecting financial statement fraud. Decis. Support Syst. Patricia Craja, Alisa Kim, Stefan Lessmann
2020	—	`conf`	Interpretable Multiple Treatment Revenue Uplift Modeling. AMCIS Robin Marco Gubela, Stefan Lessmann
2020	—	`conf`	Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring. MIDAS@PKDD/ECML Nikita Kozodoi, Stefan Lessmann
2020	J	`jnl`	Predicting online shopping behaviour from clickstream data using deep learning. Expert Syst. Appl. Dennis Koehn, Stefan Lessmann, Markus Schaal
2020	J	`jnl`	Response transformation and profit decomposition for revenue uplift modeling. Eur. J. Oper. Res. Robin Marco Gubela, Stefan Lessmann, Szymon Jaroszewicz
2020	—	`conf`	To Use or not to Use: the Relationship between Personality Traits and Instagram Usage. Wirtschaftsinformatik (Zentrale Tracks) Carlos Jennewein, Annika Baumann, Stefan Lessmann
2020	C	`conf`	Uplift Forest for Multiple Treatments and Continuous Outcomes. ICIS Robin Marco Gubela, Stefan Lessmann
2019	J	`jnl`	A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach. Inf. Syst. E Bus. Manag. Abhishek Behl, Pankaj Dutta, Stefan Lessmann, Yogesh K. Dwivedi, Samarjit Kar
2019	J	`jnl`	A multi-objective approach for profit-driven feature selection in credit scoring. Decis. Support Syst. Nikita Kozodoi, Stefan Lessmann, Konstantinos Papakonstantinou, Yiannis Gatsoulis, Bart Baesens
2019	C	`conf`	Affordable Uplift: Supervised Randomization in Controlled Experiments. ICIS Johannes Haupt, Daniel Jacob, Robin Marco Gubela, Stefan Lessmann
2019	J	`jnl`	Affordable Uplift: Supervised Randomization in Controlled Experiments. CoRR Johannes Haupt, Daniel Jacob, Robin Marco Gubela, Stefan Lessmann
2019	J	`jnl`	Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. CoRR C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
2019	J	`jnl`	Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies. Int. J. Inf. Technol. Decis. Mak. Robin Marco Gubela, Artem Bequé, Stefan Lessmann, Fabian Gebert
2019	J	`jnl`	Evaluating software defect prediction performance: an updated benchmarking study. CoRR Libo Li, Stefan Lessmann, Bart Baesens
2019	—	`ch.`	Metaheuristics and Classifier Ensembles. Business and Consumer Analytics: New Ideas Ringolf Thomschke, Stefan Voß, Stefan Lessmann
2019	J	`jnl`	Response Transformation and Profit Decomposition for Revenue Uplift Modeling. CoRR Robin Marco Gubela, Stefan Lessmann, Szymon Jaroszewicz
2019	J	`jnl`	Shallow Self-Learning for Reject Inference in Credit Scoring. CoRR Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou
2019	—	`conf`	Shallow Self-learning for Reject Inference in Credit Scoring. ECML/PKDD (3) Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou
2019	J	`jnl`	The Price of Privacy - An Evaluation of the Economic Value of Collecting Clickstream Data. Bus. Inf. Syst. Eng. Annika Baumann, Johannes Haupt, Fabian Gebert, Stefan Lessmann
2018	J	`jnl`	Changing perspectives: Using graph metrics to predict purchase probabilities. Expert Syst. Appl. Annika Baumann, Johannes Haupt, Fabian Gebert, Stefan Lessmann
2018	J	`jnl`	Improving crime count forecasts using Twitter and taxi data. Decis. Support Syst. Lara Vomfell, Wolfgang Karl Härdle, Stefan Lessmann
2018	—	`conf`	Profit-Oriented Feature Selection in Credit Scoring Applications. OR Nikita Kozodoi, Stefan Lessmann, Bart Baesens, Konstantinos Papakonstantinou
2018	J	`jnl`	Robust identification of email tracking: A machine learning approach. CoRR Johannes Haupt, Benedict Bender, Benjamin Fabian, Stefan Lessmann
2018	J	`jnl`	Robust identification of email tracking: A machine learning approach. Eur. J. Oper. Res. Johannes Haupt, Benedict Bender, Benjamin Fabian, Stefan Lessmann
2018	—	`conf`	Track and Treat - Usage of E-Mail Tracking for Newsletter Individualization. ECIS Benedict Bender, Benjamin Fabian, Johannes Haupt, Stefan Lessmann
2017	J	`jnl`	A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry. Decis. Support Syst. Kristof Coussement, Stefan Lessmann, Geert Verstraeten
2017	J	`jnl`	Approaches for credit scorecard calibration: An empirical analysis. Knowl. Based Syst. Artem Bequé, Kristof Coussement, Ross W. Gayler, Stefan Lessmann
2017	J	`jnl`	Extreme learning machines for credit scoring: An empirical evaluation. Expert Syst. Appl. Artem Bequé, Stefan Lessmann
2017	C	`conf`	Revenue Uplift Modeling. ICIS Robin Marco Gubela, Stefan Lessmann, Johannes Haupt, Annika Baumann, Tillmann Radmer, Fabian Gebert
2017	—	`conf`	To Phub or not to Phub: Understanding off-Task Smartphone Usage and its Consequences in the Academic Environment. ECIS Olga Abramova, Annika Baumann, Hanna Krasnova, Stefan Lessmann
2016	J	`jnl`	Bridging the divide in financial market forecasting: machine learners vs. financial economists. Expert Syst. Appl. Ming-Wei Hsu, Stefan Lessmann, Ming-Chien Sung, Tiejun Ma, Johnnie E. V. Johnson
2016	—	`conf`	Data-Driven Product returns Prediction: a Cloud-based Ensemble Selection Approach. ECIS Leonard Heilig, Julien Hofer, Stefan Lessmann, Stefan Voß
2016	C	`conf`	E-Mail Tracking: Status Quo and Novel Countermeasures. ICIS Benedict Bender, Benjamin Fabian, Stefan Lessmann, Johannes Haupt
2016	—	`conf`	Twitter and the Political Landscape - a Graph Analysis of German Politicians. ECIS Annika Baumann, Benjamin Fabian, Stefan Lessmann, Lars Holzberg
2015	J	`jnl`	Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research. Eur. J. Oper. Res. Stefan Lessmann, Bart Baesens, Hsin-Vonn Seow, Lyn C. Thomas
2015	—	`conf`	Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection. ECIS Annika Baumann, Stefan Lessmann, Kristof Coussement, Koen W. De Bock
2015	—	`conf`	Sales Forecasting with Partial Recurrent Neural Networks: Empirical Insights and Benchmarking Results. HICSS Moritz Müller-Navarra, Stefan Lessmann, Stefan Voss
2013	J	`jnl`	A memetic approach to construct transductive discrete support vector machines. Eur. J. Oper. Res. Hubertus Brandner, Stefan Lessmann, Stefan Voß
2013	—	`conf`	Modelling Mismatch In Predictive Analytics: A Case Study Illustration And Possible Remedy. ECIS Stefan Lessmann
2012	J	`jnl`	A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction. Eur. J. Oper. Res. Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson, Tiejun Ma
2012	J	`jnl`	Save the best for last? The treatment of dominant predictors in financial forecasting. Expert Syst. Appl. Ming-Chien Sung, Stefan Lessmann
2011	—	`conf`	Support of Managerial Decision Making by Transductive Learning. Wirtschaftsinformatik Hubertus Brandner, Stefan Lessmann, Stefan Voß
2011	J	`jnl`	Towards a methodology for measuring the true degree of efficiency in a speculative market. J. Oper. Res. Soc. Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson
2011	J	`jnl`	Tuning metaheuristics: A data mining based approach for particle swarm optimization. Expert Syst. Appl. Stefan Lessmann, Marco Caserta, Idel Montalvo Arango
2010	J	`jnl`	Customer-Centric Decision Support. Bus. Inf. Syst. Eng. Stefan Lessmann, Stefan Voß
2010	—	`book`	Data Mining - Special Issue in Annals of Information Systems Data Mining Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2010	—	`ch.`	Data Mining and Information Systems: Quo Vadis? Data Mining Robert Stahlbock, Stefan Lessmann, Sven F. Crone
2010	C	`conf`	Decision Support in Car Leasing: a Forecasting Model for Residual Value Estimation. ICIS Stefan Lessmann, Mariana Listiani, Stefan Voß
2009	—	`conf`	A Case Study of Random Forest in Predictive Data Mining. Wirtschaftsinformatik (2) Sebastian Schüller, Stefan Lessmann, Stefan Voß
2009	J	`jnl`	A reference model for customer-centric data mining with support vector machines. Eur. J. Oper. Res. Stefan Lessmann, Stefan Voß
2009	C	`conf`	Feature Selection in Marketing Applications. ADMA Stefan Lessmann, Stefan Voß
2009	J	`jnl`	Identifying winners of competitive events: A SVM-based classification model for horserace prediction. Eur. J. Oper. Res. Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson
2009	J	`jnl`	Kostensensitive Klassifikation mit HMD Prax. Wirtsch. Stefan Lessmann, Sebastian Schüller, Stefan Voß
2009	—	`ed.`	Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA DMIN Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2008	—	`conf`	A Case Study of Core Vector Machines in Corporate Data Mining. HICSS Stefan Lessmann, Ning Li, Stefan Voß
2008	—	`conf`	A Novel Approach to Construct Discrete Support Vector Machine Classifiers. GfKl Marco Caserta, Stefan Lessmann, Stefan Voß
2008	J	`jnl`	Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings. IEEE Trans. Software Eng. Stefan Lessmann, Bart Baesens, Christophe Mues, Swantje Pietsch
2008	—	`conf`	Crowdsourcing: Systematisierung praktischer Ausprägungen und verwandter Konzepte. Multikonferenz Wirtschaftsinformatik Nicole Martin, Stefan Lessmann, Stefan Voß
2008	—	`ed.`	Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes DMIN Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2007	—	`ed.`	Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA DMIN Robert Stahlbock, Sven F. Crone, Stefan Lessmann
2006	B	`conf`	An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. IJCNN Stefan Lessmann, Sven F. Crone, Robert Stahlbock
2006	B	`conf`	Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction. IJCNN Sven F. Crone, Stefan Lessmann, Swantje Pietsch
2006	B	`conf`	Genetic Algorithms for Support Vector Machine Model Selection. IJCNN Stefan Lessmann, Robert Stahlbock, Sven F. Crone
2006	—	`conf`	Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting. DMIN Sven F. Crone, Stefan Lessmann, Swantje Pietsch
2006	—	`ed.`	Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006 DMIN Sven F. Crone, Stefan Lessmann, Robert Stahlbock
2006	J	`jnl`	The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. Eur. J. Oper. Res. Sven F. Crone, Stefan Lessmann, Robert Stahlbock
2005	Misc	`conf`	Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning. IC-AI Robert Stahlbock, Stefan Lessmann, Sven F. Crone
2005	—	`conf`	Genetically Constructed Kernels for Support Vector Machines. OR Stefan Lessmann, Robert Stahlbock, Sven F. Crone
2005	Misc	`conf`	Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. IC-AI Stefan Lessmann, Robert Stahlbock, Sven F. Crone
2004	B	`conf`	Empirical comparison and evaluation of classifier performance for data mining in customer relationship management. IJCNN Sven F. Crone, Stefan Lessmann, Robert Stahlbock
2004	Misc	`conf`	Solving Imbalanced Classification Problems with Support Vector Machines. IC-AI Stefan Lessmann