Risultati della ricerca - Lessmann, Stefan
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1
Heteroscedasticity-aware stratified sampling to improve uplift modeling Autoría: Bokelmann, Björn, Lessmann, Stefan
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
2
Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. Data Autoría: Velev, Georg, Lessmann, Stefan
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
3
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis Autoría: Gerling, Christopher, Lessmann, Stefan
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
4
Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series Autoría: Velev, Georg, Lessmann, Stefan
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
5
Incorporating data drift to perform survival analysis on credit risk Autoría: Peng, Jianwei, Lessmann, Stefan
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
6
Leveraging Zero-Shot Prompting for Efficient Language Model Distillation Autoría: Vöge, Lukas, Gurgul, Vincent, Lessmann, Stefan
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
7
Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization Autoría: Gurgul, Vincent, Chen, Ying, Lessmann, Stefan
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
8
The State of Generative AI in Software Development: Insights from Literature and a Developer Survey Autoría: Gurgul, Vincent, Gubela, Robin, Lessmann, Stefan
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
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The Deep Promotion Time Cure Model Autoría: Medina-Olivares, Victor, Lessmann, Stefan, Klein, Nadja
Pubblicazione 2023Fuente: arXivTipo de material: PreprintAcceso al recurso -
10
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data Autoría: Gurgul, Vincent, Lessmann, Stefan, Härdle, Wolfgang Karl
Pubblicazione 2023Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Causality analysis of electricity market liberalization on electricity price using novel Machine Learning methods Autoría: Shahar, Orr, Lessmann, Stefan, Pele, Daniel Traian
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
12
Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces Autoría: Gerling, Christopher, Peng, Hanqiu, Chen, Ying, Lessmann, Stefan
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
13
Semi-structured multi-state delinquency model for mortgage default Autoría: Medina-Olivares, Victor, Xia, Wangzhen, Lessmann, Stefan, Klein, Nadja
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
14
Uplift modeling with continuous treatments: A predict-then-optimize approach Autoría: De Vos, Simon, Bockel-Rickermann, Christopher, Lessmann, Stefan, Verbeke, Wouter
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
15
Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models Autoría: Kozodoi, Nikita, Lessmann, Stefan, Alamgir, Morteza, Moreira-Matias, Luis, Papakonstantinou, Konstantinos
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
16
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods Autoría: Andrei, Alexandru-Victor, Velev, Georg, Toma, Filip-Mihai, Pele, Daniel Traian, Lessmann, Stefan
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Foundation Models for Credit Risk Prediction: A Game Changer? Autoría: Baesens, Bart, Goethals, Andreas, Lessmann, Stefan, De Vos, Simon, Bravo, Cristián, Martens, David, Medina-Olivares, Victor, Mues, Christophe, Oskarsdóttir, Maria, Broucke, Seppe vanden, Verdonck, Tim, Verbeke, Wouter
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso