Robin Hirt

21 papers B 1C 1Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enabling inter-organizational analytics in business networks through meta machine learning.
Inf. Technol. Manag.
Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger
2024 B conf
Enhancing Fraud Detection in Enterprise Resource Planning Systems through Federated Learning: A Comparative Study.
IEEE Big Data
Jonas Schnepf, Caroline Dieterich, Ozan Öztürk, Robin Hirt, Bernd Scheuermann
2023 J jnl
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning.
CoRR
Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger
2021 J jnl
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card.
Commun. Assoc. Inf. Syst.
Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger
2021 — conf
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability.
HICSS
Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
2020 — conf
A Network-based Transfer Learning Approach to Improve Sales Forecasting of New Products.
ECIS
Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
2020 — conf
A Transfer Machine Learning Matching Algorithm for Source and Target (TL-MAST).
LOD (2)
Florin Tim Peters, Robin Hirt
2020 J jnl
A network-based transfer learning approach to improve sales forecasting of new products.
CoRR
Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
2020 — conf
Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime.
IESS
Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
2020 J jnl
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime.
CoRR
Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
2020 — conf
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting.
CBI (1)
Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger
2020 J jnl
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting.
CoRR
Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger
2020 J jnl
Machine Learning in Artificial Intelligence: Towards a Common Understanding.
CoRR
Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger
2020 J jnl
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability.
CoRR
Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
2019 J jnl
Cognitive computing for customer profiling: meta classification for gender prediction.
Electron. Mark.
Robin Hirt, Niklas Kühl, Gerhard Satzger
2019 — conf
Machine Learning in Artificial Intelligence: Towards a Common Understanding.
HICSS
Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger
2019 — conf
Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology.
Wirtschaftsinformatik
Dominik Martin, Robin Hirt, Niklas Kühl
2019 — —
Supervised machine learning in service systems: deriving insights from distributed data.
Robin Hirt
2018 C conf
Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning.
ICIS
Robin Hirt, Niklas Kühl
2018 — conf
Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda.
HICSS
Robin Hirt, Niklas Kühl, Björn Schmitz, Gerhard Satzger
2017 — conf
Abbildung kognitiver Fähigkeiten mit Metamodellen.
GI-Jahrestagung
Robin Hirt, Niklas Kühl