Kai Heinrich - RankMe

45 papers C 4Journal 14Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Designing a Neural Question-Answering System for Times of (Information) Pandemics. Inf. Syst. Manag. Johannes Graf, Gino Lancho, Kai Heinrich, Frederik Möller, Thorsten Schoormann, Patrick Zschech
2025	J	`jnl`	Red Lights, Blind Spots: Sex Work and Stigma in Information Systems. Commun. Assoc. Inf. Syst. Eduard Buzila, Kai Heinrich
2024	—	`conf`	Are Our Predictions Healthy? A Comparative Meta-Analysis of Machine Learning Studies in Predictive Healthcare. ECIS Kai Heinrich, Armin Keshavarzi
2023	J	`jnl`	Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. Int. J. Inf. Manag. Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch
2022	C	`conf`	Algorithms as a Manager: A Critical Literature Review of Algorithm Management. ICIS Kai Heinrich, Minh Anh Vu, Anastasiia Vysochyna
2022	J	`jnl`	Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. CoRR Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch
2022	J	`jnl`	The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study. Electron. Mark. Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch
2022	J	`jnl`	Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations. CoRR Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich
2022	—	`conf`	Where was COVID-19 first discovered? Designing a question-answering system for pandemic situations. ECIS Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich
2021	—	`conf`	A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. ECIS Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
2021	J	`jnl`	A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. CoRR Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
2021	—	`conf`	Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance. ECIS Jonas Wanner, Laurell Popp, Kevin Fuchs, Kai Heinrich, Lukas-Valentin Herm, Christian Janiesch
2021	J	`jnl`	Machine learning and deep learning. CoRR Christian Janiesch, Patrick Zschech, Kai Heinrich
2021	J	`jnl`	Machine learning and deep learning. Electron. Mark. Christian Janiesch, Patrick Zschech, Kai Heinrich
2021	J	`jnl`	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. Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin
2021	—	`conf`	Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability. I3E Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch
2020	—	`conf`	Die Rolle der mehrschichtigen Netzwerkanalyse im Bereich Social Media Analysis am Beispiel der Identifizierung von Persönlichkeitsmerkmalen. Wirtschaftsinformatik (Zentrale Tracks) Kai Heinrich, Adrian Fischer, Michael Seifert
2020	—	`conf`	Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten. Wirtschaftsinformatik (Zentrale Tracks) Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin
2020	—	`conf`	Fool me Once, shame on You, Fool me Twice, shame on me: a Taxonomy of Attack and de-Fense Patterns for AI Security. ECIS Kai Heinrich, Johannes Graf, Ji Chen, Jakob Laurisch, Patrick Zschech
2020	C	`conf`	How Much AI Do You Require? Decision Factors for Adopting AI Technology. ICIS Jonas Wanner, Kai Heinrich, Christian Janiesch, Patrick Zschech
2020	J	`jnl`	Intelligent User Assistance for Automated Data Mining Method Selection. Bus. Inf. Syst. Eng. Patrick Zschech, Richard Horn, Daniel Höschele, Christian Janiesch, Kai Heinrich
2020	—	`conf`	Vindictive Word-of-Mouth on Social Media Platforms - an Empirical Investigation of Drivers and their Measurement. ECIS Marie-Christin Papen, Janine Göttling, Kai Heinrich, Lisa Kraus, Christian Leyh, Florian Siems
2020	C	`conf`	White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. ICIS Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch, Patrick Zschech
2019	—	`conf`	A Quantitative Analysis of Culture-induced differences in Pivotal IT Outsourcing Contract Features. ECIS Michael Könning, Kai Heinrich, Christian Leyh, Markus Westner
2019	—	`conf`	Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems. AMCIS Kai Heinrich, Patrick Zschech, Tarek Skouti, Jakob Griebenow, Sebastian Riechert
2019	—	`conf`	Everything counts: a Taxonomy of Deep Learning Approaches for Object Counting. ECIS Kai Heinrich, Andreas Roth, Patrick Zschech
2019	—	`conf`	Influencing Factors of Clinical Patient Recruitment Systems Design. HICSS Jonathan Philipps, Kai Heinrich
2019	J	`jnl`	Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning. HMD Prax. Wirtsch. Kai Heinrich, Patrick Zschech, Björn Möller, Lukas Breithaupt, Johannes Maresch
2019	J	`jnl`	Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning. Bus. Inf. Syst. Eng. Patrick Zschech, Kai Heinrich, Raphael Bink, Janis S. Neufeld
2019	C	`conf`	Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation. ICIS Patrick Zschech, Jonas Bernien, Kai Heinrich
2019	—	`conf`	Towards a Text-based Recommender System for Data Mining Method Selection. AMCIS Patrick Zschech, Kai Heinrich, Richard Horn, Daniel Höschele
2019	—	`conf`	Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting. Wirtschaftsinformatik Kai Heinrich, Andreas Roth, Lukas Breithaupt, Björn Möller, Johannes Maresch
2018	—	`conf`	Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe. AMCIS Michael Könning, Kai Heinrich, Patrick Zschech, Christian Leyh
2018	—	`conf`	Deep Intelligent Systems for Time Series Prediction: Champion or Lame Duck? - Evidence from Crude Oil Price Prediction. AMCIS Kai Heinrich, Vera Fleißner
2018	—	`conf`	Towards an Open Book Architecture for Deep Learning Networks: Data Properties and Architectures - Evidence from Time Series Analytics. LWDA Vera Fleißner, Kai Heinrich, Michael Seifert
2017	—	`conf`	Are You up for the Challenge? Towards the Development of a Big Data Capability Assessment Model. ECIS Patrick Zschech, Kai Heinrich, Marcus Pfitzner, Andreas Hilbert
2016	—	`conf`	Effective Visualizations of Energy Consumption in a Feedback System - A Conjoint Measurement Study. BIS Tobias Weiß, Madlen Diesing, Marco Krause, Kai Heinrich, Andreas Hilbert
2016	—	`conf`	The Missing Link - Predictive Models based on Textual and Dynamic Network Data. AMCIS Kai Heinrich
2016	—	`—`	The missing link: a general prediction model based on textural and network data features. Kai Heinrich
2015	—	`conf`	Integration von Topic Models und Netzwerkanalyse bei der Bestimmung des Kundenwertes. GeNeMe Kai Heinrich
2012	—	`conf`	Methoden für Trendanalysen im Web zur Unter-stützungdes Customer Relationship Management. MKWI Kai Heinrich, Andreas Hilbert, Martin Kersten
2012	J	`jnl`	What is the Conversation About?: A Topic-Model-Based Approach for Analyzing Customer Sentiments in Twitter. Int. J. Intell. Inf. Technol. Stefan Sommer, Andreas Schieber, Kai Heinrich, Andreas Hilbert
2011	—	`conf`	Analyse von Konsumentenmeinungen in Microblogs: Topic-based Opinion Mining. WSBI Andreas Schieber, Kai Heinrich, Andreas Hilbert
2011	—	`conf`	Analyzing customer sentiments in microblogs - A topic-model-based approach for Twitter datasets. AMCIS Andreas Schieber, Stefan Sommer, Andreas Hilbert, Kai Heinrich
2011	—	`conf`	Worüber reden die Kunden? - Ein modelbasierter Ansatz für die Analyse von Kundenmeinungen in Microblogs. GeNeMe Andreas Schieber, Stefan Sommer, Kai Heinrich, Andreas Hilbert