Kai Heinrich
Orcid: 0000-0002-4907-6802
According to our database1,
Kai Heinrich
authored at least 37 papers
between 2011 and 2023.
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Bibliography
2023
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability.
Int. J. Inf. Manag., April, 2023
2022
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study.
Electron. Mark., December, 2022
Proceedings of the 43rd International Conference on Information Systems, 2022
Where was COVID-19 first discovered? Designing a question-answering system for pandemic situations.
Proceedings of the 30th European Conference on Information Systems, 2022
2021
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., 2021
Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability.
Proceedings of the Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, 2021
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems.
Proceedings of the 29th European Conference on Information Systems, 2021
Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance.
Proceedings of the 29th European Conference on Information Systems, 2021
2020
Bus. Inf. Syst. Eng., 2020
Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten.
Proceedings of the Entwicklungen, 2020
Die Rolle der mehrschichtigen Netzwerkanalyse im Bereich Social Media Analysis am Beispiel der Identifizierung von Persönlichkeitsmerkmalen.
Proceedings of the Entwicklungen, 2020
Proceedings of the 41st International Conference on Information Systems, 2020
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems.
Proceedings of the 41st International Conference on Information Systems, 2020
Vindictive Word-of-Mouth on Social Media Platforms - an Empirical Investigation of Drivers and their Measurement.
Proceedings of the 28th European Conference on Information Systems, 2020
Fool me Once, shame on You, Fool me Twice, shame on me: a Taxonomy of Attack and de-Fense Patterns for AI Security.
Proceedings of the 28th European Conference on Information Systems, 2020
2019
Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning.
HMD Prax. Wirtsch., 2019
Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning.
Bus. Inf. Syst. Eng., 2019
Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting.
Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019
Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation.
Proceedings of the 40th International Conference on Information Systems, 2019
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
A Quantitative Analysis of Culture-induced differences in Pivotal IT Outsourcing Contract Features.
Proceedings of the 27th European Conference on Information Systems, 2019
Proceedings of the 27th European Conference on Information Systems, 2019
Proceedings of the 25th Americas Conference on Information Systems, 2019
Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems.
Proceedings of the 25th Americas Conference on Information Systems, 2019
2018
Towards an Open Book Architecture for Deep Learning Networks: Data Properties and Architectures - Evidence from Time Series Analytics.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018
Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe.
Proceedings of the 24th Americas Conference on Information Systems, 2018
Deep Intelligent Systems for Time Series Prediction: Champion or Lame Duck? - Evidence from Crude Oil Price Prediction.
Proceedings of the 24th Americas Conference on Information Systems, 2018
2017
Are You up for the Challenge? Towards the Development of a Big Data Capability Assessment Model.
Proceedings of the 25th European Conference on Information Systems, 2017
2016
The missing link: a general prediction model based on textural and network data features.
PhD thesis, 2016
Effective Visualizations of Energy Consumption in a Feedback System - A Conjoint Measurement Study.
Proceedings of the Business Information Systems - 19th International Conference, 2016
Proceedings of the 22nd Americas Conference on Information Systems, 2016
2015
Integration von Topic Models und Netzwerkanalyse bei der Bestimmung des Kundenwertes.
Proceedings of the Gemeinschaften in Neuen Medien (GeNeMe) 2015, Dresden, 2015
2012
What is the Conversation About?: A Topic-Model-Based Approach for Analyzing Customer Sentiments in Twitter.
Int. J. Intell. Inf. Technol., 2012
2011
Proceedings of the Tagungsband des dritten Workshops "Business Intelligence" der GI-Fachgruppe Business Intelligence in Zusammenarbeit mit dem Lehrstuhl für ABWL und Wirtschaftsinformatik I der Universität Stuttgart, Stuttgart, Germany, October 13th, 2011
Worüber reden die Kunden? - Ein modelbasierter Ansatz für die Analyse von Kundenmeinungen in Microblogs.
Proceedings of the Gemeinschaften in Neuen Medien (GeNeMe) 2011, Dresden, 2011
Analyzing customer sentiments in microblogs - A topic-model-based approach for Twitter datasets.
Proceedings of the A Renaissance of Information Technology for Sustainability and Global Competitiveness. 17th Americas Conference on Information Systems, 2011