output
19932026
most citedpandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems

1.2k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021 · cs.AIShow all

6 papers · 2 filters

cs.AI2021

Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method

Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel +2

Artificial intelligence is an emerging topic and will soon be able to perform decisions better than humans. In more complex and creative contexts such as innovation, however, the q…

cs.AI2021★ 85 cited

Design principles for a hybrid intelligence decision support system for business model validation

Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel +1

One of the most critical tasks for startups is to validate their business model. Therefore, entrepreneurs try to collect information such as feedback from other actors to assess th…

cs.AI2021★ 1 cited

The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems

Dominik Dellermann, Adrian Calma, Nikolaus Lipusch +3

Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in curr…

cs.AI2021★ 720 cited

Hybrid Intelligence

Dominik Dellermann, Philipp Ebel, Matthias Soellner +1

Research has a long history of discussing what is superior in predicting certain outcomes: statistical methods or the human brain. This debate has repeatedly been sparked off by th…

cs.AI2021★ 4 cited

Triadic Exploration and Exploration with Multiple Experts

Maximilian Felde, Gerd Stumme

Formal Concept Analysis (FCA) provides a method called attribute exploration which helps a domain expert discover structural dependencies in knowledge domains that can be represent…

cs.AI2021★ 3 cited

Exploring Scale-Measures of Data Sets

Tom Hanika, Johannes Hirth

Measurement is a fundamental building block of numerous scientific models and their creation. This is in particular true for data driven science. Due to the high complexity and siz…