Robin Hirt

According to our database, Robin Hirt authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enabling inter-organizational analytics in business networks through meta machine learning.

Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger

Inf. Technol. Manag., March, 2025

2024

Enhancing Fraud Detection in Enterprise Resource Planning Systems through Federated Learning: A Comparative Study.

Jonas Schnepf, Caroline Dieterich, Ozan Öztürk, Robin Hirt, Bernd Scheuermann

Proceedings of the IEEE International Conference on Big Data, 2024

2021

How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card.

Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger

Commun. Assoc. Inf. Syst., 2021

Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability.

Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting.

Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger

Proceedings of the 22nd IEEE Conference on Business Informatics, 2020

A Transfer Machine Learning Matching Algorithm for Source and Target (TL-MAST).

Florin Tim Peters, Robin Hirt

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime.

Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv

Proceedings of the Exploring Service Science - 10th International Conference, 2020

A Network-based Transfer Learning Approach to Improve Sales Forecasting of New Products.

Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta

Proceedings of the 28th European Conference on Information Systems, 2020

2019

Supervised machine learning in service systems: deriving insights from distributed data.

Robin Hirt

PhD thesis, 2019

Cognitive computing for customer profiling: meta classification for gender prediction.

Robin Hirt, Niklas Kühl, Gerhard Satzger

Electron. Mark., 2019

Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology.

Dominik Martin, Robin Hirt, Niklas Kühl

Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019

Machine Learning in Artificial Intelligence: Towards a Common Understanding.

Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning.

Robin Hirt, Niklas Kühl

Proceedings of the International Conference on Information Systems, 2018

Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda.

Robin Hirt, Niklas Kühl, Björn Schmitz, Gerhard Satzger

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017

Abbildung kognitiver Fähigkeiten mit Metamodellen.

Robin Hirt, Niklas Kühl

Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017