Robin Hirt

发表

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

Gerhard Satzger, Niklas Kühl, Robin Hirt, 2020, 2020 IEEE 22nd Conference on Business Informatics (CBI).

Cognitive computing for customer profiling: meta classification for gender prediction

Gerhard Satzger, Niklas Kühl, Robin Hirt, 2019, Electronic Markets.

Cognitive computing for customer profiling: meta classification for gender prediction

G. Satzger, Niklas Kühl, Robin Hirt, 2019, Electronic Markets.

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

Niklas Kühl, Jannis Walk, Robin Hirt, 2020, IESS.

A network-based transfer learning approach to improve sales forecasting of new products pdf

Niklas Kühl, Robin Hirt, Tristan Karb, 2020, ECIS.

Machine Learning in Artificial Intelligence: Towards a Common Understanding pdf

Gerhard Satzger, Niklas Kühl, Marc Goutier, 2019, HICSS.

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

Björn Schmitz, Niklas Kühl, Gerhard Satzger, 2021, Commun. Assoc. Inf. Syst..

An end-to-end process model for supervised machine learning classification: from problem to deployment in information systems

Gerhard Satzger, Robin Hirt, Niklas J. Koehl, 2017 .

Towards Service-oriented Cognitive Analytics for Smart Service Systems

Björn Schmitz, Niklas Kühl, Gerhard Satzger, 2018 .

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

Niklas Kühl, Dominik Martin, Robin Hirt, 2019, Wirtschaftsinformatik.

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

Niklas Kühl, Robin Hirt, Niklas Kühl, 2018, ICIS.