Robin Hirt

ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 18

Top Venues

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning. CoRR (2023)
Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card. Commun. Assoc. Inf. Syst. 48 (2021)
Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. HICSS (2021)
Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. IESS (2020)
Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. CoRR (2020)
Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger
Machine Learning in Artificial Intelligence: Towards a Common Understanding. CoRR (2020)
Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. CoRR (2020)
Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
A network-based transfer learning approach to improve sales forecasting of new products. CoRR (2020)
Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
A Network-based Transfer Learning Approach to Improve Sales Forecasting of New Products. ECIS (2020)
Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting. CBI (1) (2020)
Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting. CoRR (2020)
Florin Tim Peters, Robin Hirt
A Transfer Machine Learning Matching Algorithm for Source and Target (TL-MAST). LOD (2) (2020)
Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger
Machine Learning in Artificial Intelligence: Towards a Common Understanding. HICSS (2019)
Dominik Martin, Robin Hirt, Niklas Kühl
Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology. Wirtschaftsinformatik (2019)
Robin Hirt, Niklas Kühl, Gerhard Satzger
Cognitive computing for customer profiling: meta classification for gender prediction. Electron. Mark. 29 (1) (2019)
Robin Hirt, Niklas Kühl, Björn Schmitz, Gerhard Satzger
Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda. HICSS (2018)
Robin Hirt, Niklas Kühl
Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning. ICIS (2018)
Robin Hirt, Niklas Kühl
Abbildung kognitiver Fähigkeiten mit Metamodellen. GI-Jahrestagung (2017)

Robin Hirt.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Robin Hirt