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ORCIDJulian Sengewald
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2020 – today
- 2024
[c10]Julian Sengewald, Richard Lackes:
Bike-Sharing Station Placement: Spatial Analysis and Data Mining of Network Design Characteristics. AMCIS 2024- [c9]Julian Sengewald, Richard Lackes:
Robo-Advisory and Algorithmic Trading via Evolutionary Discretization and Rule-Mining. AMCIS 2024 - [c8]Julian Sengewald, Mathis Wilz, Richard Lackes:
AI-Assisted Learning Feedback: Should Gen-AI Feedback Be Restricted to Improve Learning Success? A Pilot Study in a SQL Lecture. ECIS 2024 - [c7]Julian Sengewald
, Richard Lackes:
A Multi-objective Particle Swarm Optimization Framework for Operations Management. WHICEB (3) 2024: 444-455 - 2023
- [c6]Richard Lackes, Julian Sengewald:
Early Product Cost Estimation by Intelligent Machine Learning Algorithms. ICAIIC 2023: 192-198 - [c5]Julian Sengewald, Anissa Schlichter, Markus Siepermann, Richard Lackes:
Human perceptions of fairness: a survey experiment. Wirtschaftsinformatik 2023: 72 - 2022
- [c4]Alper Beser, Julian Sengewald, Richard Lackes:
Drawing Attention on (Visually) Competitive Online Shopping Platforms - An Eye-Tracking Study Analysing the Effects of Visual Cues on the Amazon Marketplace. BIR 2022: 159-174 - [c3]Julian Sengewald, Richard Lackes:
Fair Engineering of Machine Learning Systems - Lessons Learned from a Literature Review. HICSS 2022: 1-10 - [c2]Julian Sengewald, Richard Lackes:
Prescriptive Analytics in Procurement: Reducing Process Costs. Wirtschaftsinformatik 2022 - 2021
- [c1]Julian Sengewald, Richard Lackes:
The Impact of the 'Right to Be Forgotten' on Algorithmic Fairness. BIR 2021: 204-218
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