Risultati della ricerca - Lessmann, Stefan
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1
Heteroscedasticity-aware stratified sampling to improve uplift modeling
Pubblicazione 2024Testo
Preprint -
2
Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. Data
Pubblicazione 2024Testo
Preprint -
3
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
Pubblicazione 2024Testo
Preprint -
4
Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series
Pubblicazione 2025Testo
Preprint -
5
Incorporating data drift to perform survival analysis on credit risk
Pubblicazione 2026Testo
Preprint -
6
Leveraging Zero-Shot Prompting for Efficient Language Model Distillation
Pubblicazione 2024Testo
Preprint -
7
Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
Pubblicazione 2026Testo
Preprint -
8
The State of Generative AI in Software Development: Insights from Literature and a Developer Survey
Pubblicazione 2026Testo
Preprint -
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10
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data
Pubblicazione 2023Testo
Preprint -
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12
Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces
Pubblicazione 2026Testo
Preprint -
13
Semi-structured multi-state delinquency model for mortgage default
Pubblicazione 2026Testo
Preprint -
14
Uplift modeling with continuous treatments: A predict-then-optimize approach
Pubblicazione 2024Testo
Preprint -
15
Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models
Pubblicazione 2024Testo
Preprint -
16
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods
Pubblicazione 2024Testo
Preprint -
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