Weinzierl, Sven

1. Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
   2020/10/02 by An Nguyen, Nguyen, An, Srijeet Chatterjee +9 · 5 citations
   Business, Management and Accounting · Computer Science · #68T07 #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #I.2.1 #I.2.6 #J.1 #Machine Learning (cs.LG) #Software System Performance and Reliability #Time Series Analysis and Forecasting
2. Guiding Text-to-Text Privatization by Syntax
   2023/06/02 by Arnold, Stefan, Yesilbas, Dilara, Weinzierl, Sven · 4 citations
   #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Machine learning in business process management: A systematic literature review
   2024/05/26 by Sven Weinzierl, Weinzierl, Sven, Sandra Zilker +5 · 6 citations
   Business, Management and Accounting · #Big Data and Business Intelligence #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Driving Context into Text-to-Text Privatization
   2023/06/02 by Stefan Arnold, Arnold, Stefan, Dilara Yesilbas +3 · 2 citations
   Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
5. Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models
   2024/09/22 by Sven Kruschel, Kruschel, Sven, Nico Hambauer +9 · 5 citations
   Computer Science · #Explainable Artificial Intelligence (XAI)
6. CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations
   2025/03/03 by Rosenberger, Julian, Wolfrum, Lukas, Weinzierl, Sven +2 · 4 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
   2024/05/21 by Zilker, Sandra, Weinzierl, Sven, Kraus, Mathias +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)