Kai Heinrich

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 35

Top Venues

Dresden University of Technology, Germany (PHD)

Education History

Dresden University of Technology, Germany

PHD

Publications

Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. Int. J. Inf. Manag. 69 (2023)
Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich
Where was COVID-19 first discovered? Designing a question-answering system for pandemic situations. ECIS (2022)
Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study. Electron. Mark. 32 (4) (2022)
Kai Heinrich, Minh Anh Vu, Anastasiia Vysochyna
Algorithms as a Manager: A Critical Literature Review of Algorithm Management. ICIS (2022)
Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. CoRR (2022)
Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich
Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations. CoRR (2022)
Jonas Wanner, Laurell Popp, Kevin Fuchs, Kai Heinrich, Lukas-Valentin Herm, Christian Janiesch
Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance. ECIS (2021)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. ECIS (2021)
Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch
Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability. I3E (2021)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. CoRR (2021)
Christian Janiesch, Patrick Zschech, Kai Heinrich
Machine learning and deep learning. CoRR (2021)
Christian Janiesch, Patrick Zschech, Kai Heinrich
Machine learning and deep learning. Electron. Mark. 31 (3) (2021)
Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decis. Support Syst. 143 (2021)
Kai Heinrich, Johannes Graf, Ji Chen, Jakob Laurisch, Patrick Zschech
Fool me Once, shame on You, Fool me Twice, shame on me: a Taxonomy of Attack and de-Fense Patterns for AI Security. ECIS (2020)
Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch, Patrick Zschech
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. ICIS (2020)
Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin
Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Marie-Christin Papen, Janine Göttling, Kai Heinrich, Lisa Kraus, Christian Leyh, Florian Siems
Vindictive Word-of-Mouth on Social Media Platforms - an Empirical Investigation of Drivers and their Measurement. ECIS (2020)
Kai Heinrich, Adrian Fischer, Michael Seifert
Die Rolle der mehrschichtigen Netzwerkanalyse im Bereich Social Media Analysis am Beispiel der Identifizierung von Persönlichkeitsmerkmalen. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Jonas Wanner, Kai Heinrich, Christian Janiesch, Patrick Zschech
How Much AI Do You Require? Decision Factors for Adopting AI Technology. ICIS (2020)
Patrick Zschech, Richard Horn, Daniel Höschele, Christian Janiesch, Kai Heinrich
Intelligent User Assistance for Automated Data Mining Method Selection. Bus. Inf. Syst. Eng. 62 (3) (2020)
Patrick Zschech, Jonas Bernien, Kai Heinrich
Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation. ICIS (2019)
Kai Heinrich, Andreas Roth, Lukas Breithaupt, Björn Möller, Johannes Maresch
Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting. Wirtschaftsinformatik (2019)
Kai Heinrich, Patrick Zschech, Tarek Skouti, Jakob Griebenow, Sebastian Riechert
Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems. AMCIS (2019)
Michael Könning, Kai Heinrich, Christian Leyh, Markus Westner
A Quantitative Analysis of Culture-induced differences in Pivotal IT Outsourcing Contract Features. ECIS (2019)
Kai Heinrich, Andreas Roth, Patrick Zschech
Everything counts: a Taxonomy of Deep Learning Approaches for Object Counting. ECIS (2019)
Kai Heinrich, Patrick Zschech, Björn Möller, Lukas Breithaupt, Johannes Maresch
Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning. HMD Prax. Wirtsch. 56 (5) (2019)
Jonathan Philipps, Kai Heinrich
Influencing Factors of Clinical Patient Recruitment Systems Design. HICSS (2019)
Patrick Zschech, Kai Heinrich, Raphael Bink, Janis S. Neufeld
Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning. Bus. Inf. Syst. Eng. 61 (3) (2019)
Patrick Zschech, Kai Heinrich, Richard Horn, Daniel Höschele
Towards a Text-based Recommender System for Data Mining Method Selection. AMCIS (2019)
Kai Heinrich, Vera Fleißner
Deep Intelligent Systems for Time Series Prediction: Champion or Lame Duck? - Evidence from Crude Oil Price Prediction. AMCIS (2018)
Michael Könning, Kai Heinrich, Patrick Zschech, Christian Leyh
Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe. AMCIS (2018)
Vera Fleißner, Kai Heinrich, Michael Seifert
Towards an Open Book Architecture for Deep Learning Networks: Data Properties and Architectures - Evidence from Time Series Analytics. LWDA (2018)
Patrick Zschech, Kai Heinrich, Marcus Pfitzner, Andreas Hilbert
Are You up for the Challenge? Towards the Development of a Big Data Capability Assessment Model. ECIS (2017)
Tobias Weiß, Madlen Diesing, Marco Krause, Kai Heinrich, Andreas Hilbert
Effective Visualizations of Energy Consumption in a Feedback System - A Conjoint Measurement Study. BIS (2016)
Kai Heinrich
The Missing Link - Predictive Models based on Textual and Dynamic Network Data. AMCIS (2016)
Kai Heinrich
Integration von Topic Models und Netzwerkanalyse bei der Bestimmung des Kundenwertes. GeNeMe (2015)
Kai Heinrich, Andreas Hilbert, Martin Kersten
Methoden für Trendanalysen im Web zur Unter-stützungdes Customer Relationship Management. MKWI (2012)
Stefan Sommer, Andreas Schieber, Kai Heinrich, Andreas Hilbert
What is the Conversation About?: A Topic-Model-Based Approach for Analyzing Customer Sentiments in Twitter. Int. J. Intell. Inf. Technol. 8 (1) (2012)
Andreas Schieber, Stefan Sommer, Andreas Hilbert, Kai Heinrich
Analyzing customer sentiments in microblogs - A topic-model-based approach for Twitter datasets. AMCIS (2011)
Andreas Schieber, Stefan Sommer, Kai Heinrich, Andreas Hilbert
Worüber reden die Kunden? - Ein modelbasierter Ansatz für die Analyse von Kundenmeinungen in Microblogs. GeNeMe (2011)
Andreas Schieber, Kai Heinrich, Andreas Hilbert
Analyse von Konsumentenmeinungen in Microblogs: Topic-based Opinion Mining. WSBI (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kai Heinrich