Patrick Zschech

76 papers C 4Journal 45Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning Models. Bus. Inf. Syst. Eng. Sven Kruschel, Nico Hambauer, Sven Weinzierl, Sandra Zilker, Mathias Kraus, Patrick Zschech
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
2026	J	`jnl`	Inherently Interpretable Machine Learning: A Contrasting Paradigm to Post-hoc Explainable AI. Bus. Inf. Syst. Eng. Patrick Zschech, Sven Weinzierl, Mathias Kraus
2025	J	`jnl`	Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification. CoRR Lukas Pätz, Moritz Beyer, Jannik Späth, Lasse Bohlen, Patrick Zschech, Mathias Kraus, Julian Rosenberger
2025	—	`conf`	Benchmarking Cluster-Then-Predict Models to Challenge Prevailing Global Machine Learning Models. HICSS Nico Hambauer, Theodor Stoecker, Patrick Zschech, Mathias Kraus
2025	J	`jnl`	Beware of "Explanations" of AI. CoRR David Martens, Galit Shmueli, Theodoros Evgeniou, Kevin Bauer, Christian Janiesch, Stefan Feuerriegel, Sebastian Gabel, Sofie Goethals, Travis Greene, Nadja Klein, Mathias Kraus, Niklas Kühl, Claudia Perlich, Wouter Verbeke, Alona Zharova, Patrick Zschech, Foster J. Provost
2025	J	`jnl`	CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations. CoRR Julian Rosenberger, Lukas Wolfrum, Sven Weinzierl, Mathias Kraus, Patrick Zschech
2025	J	`jnl`	CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations. Expert Syst. Appl. Julian Rosenberger, Lukas Wolfrum, Sven Weinzierl, Mathias Kraus, Patrick Zschech
2025	—	`conf`	Challenges in Managing the Relationship Between Agentic AI Systems and Humans in Organizations. BIS Christopher Wissuchek, Patrick Zschech
2025	—	`conf`	Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework. PACIS Christopher Wissuchek, Patrick Zschech
2025	J	`jnl`	Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework. CoRR Christopher Wissuchek, Patrick Zschech
2025	J	`jnl`	Hate Speech and Sentiment of YouTube Video Comments From Public and Private Sources Covering the Israel-Palestine Conflict. CoRR Simon Hofmann, Christoph Sommermann, Mathias Kraus, Patrick Zschech, Julian Rosenberger
2025	J	`jnl`	Leveraging interpretable machine learning in intensive care. Ann. Oper. Res. Lasse Bohlen, Julian Rosenberger, Patrick Zschech, Mathias Kraus
2025	—	`conf`	Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users. ECIS Julian Rosenberger, Philipp Schröppel, Sven Kruschel, Mathias Kraus, Patrick Zschech, Maximilian Förster
2025	J	`jnl`	Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users. CoRR Julian Rosenberger, Philipp Schröppel, Sven Kruschel, Mathias Kraus, Patrick Zschech, Maximilian Förster
2025	J	`jnl`	Overcoming Algorithm Aversion with Transparency: Can Transparent Predictions Change User Behavior? CoRR Lasse Bohlen, Sven Kruschel, Julian Rosenberger, Patrick Zschech, Mathias Kraus
2025	J	`jnl`	Prescriptive analytics systems revised: a systematic literature review from an information systems perspective. Inf. Syst. E Bus. Manag. Christopher Wissuchek, Patrick Zschech
2025	J	`jnl`	The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment. CoRR Julian Rosenberger, Sophie Kuhlemann, Verena Tiefenbeck, Mathias Kraus, Patrick Zschech
2025	J	`jnl`	Unveiling Location-Specific Price Drivers: A Two-Stage Cluster Analysis for Interpretable House Price Predictions. CoRR Paul Gümmer, Julian Rosenberger, Mathias Kraus, Patrick Zschech, Nico Hambauer
2024	J	`jnl`	A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis. CoRR Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner
2024	J	`jnl`	Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models. CoRR Sven Kruschel, Nico Hambauer, Sven Weinzierl, Sandra Zilker, Mathias Kraus, Patrick Zschech
2024	J	`jnl`	Generative AI. Bus. Inf. Syst. Eng. Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
2024	—	`conf`	Hate Speech and Sentiment of YouTube Video Comments From Public and Private Sources Covering the Israel-Palestine Conflict. Wirtschaftsinformatik Simon Hofmann, Christoph Sommermann, Mathias Kraus, Patrick Zschech, Julian Rosenberger
2024	C	`conf`	How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories. ICIS Sven Weinzierl, Sandra Zilker, Patrick Zschech, Mathias Kraus, Tobias Leibelt, Martin Matzner
2024	—	`conf`	IGANN Sparse: Bridging Sparsity and Interpretability with Non-Linear Insight. ECIS Theodor Felix Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus
2024	J	`jnl`	IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight. CoRR Theodor Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus
2024	J	`jnl`	Interpretable generalized additive neural networks. Eur. J. Oper. Res. Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, Patrick Zschech
2024	J	`jnl`	Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability. CoRR Sven Kruschel, Lasse Bohlen, Julian Rosenberger, Patrick Zschech, Mathias Kraus
2024	J	`jnl`	Survey and systematization of 3D object detection models and methods. Vis. Comput. Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech
2024	—	`conf`	The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment. Wirtschaftsinformatik Julian Rosenberger, Sophie Kuhlemann, Verena Tiefenbeck, Mathias Kraus, Patrick Zschech
2023	J	`jnl`	Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models. Comput. Ind. Eng. Justus Zipfel, Felix Verworner, Marco Fischer, Uwe Wieland, Mathias Kraus, Patrick Zschech
2023	—	`conf`	Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction. ECIS Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner
2023	J	`jnl`	Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines. Inf. Syst. E Bus. Manag. Patrick Zschech
2023	J	`jnl`	Generative AI. CoRR Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
2023	—	`conf`	Survey and Systematization of Prescriptive Analytics Systems: Towards Archetypes from a Human-Machine-Collaboration Perspective. ECIS Christopher Wissuchek, Patrick Zschech
2022	—	`conf`	A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. Wirtschaftsinformatik Maximilian V. Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
2022	J	`jnl`	A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. CoRR Maximilian Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
2022	J	`jnl`	A Survey of Text Representation Methods and Their Genealogy. IEEE Access Philipp Siebers, Christian Janiesch, Patrick Zschech
2022	J	`jnl`	A Survey of Text Representation Methods and Their Genealogy. CoRR Philipp Siebers, Christian Janiesch, Patrick Zschech
2022	J	`jnl`	Artificial Intelligence for Sustainability - A Systematic Review of Information Systems Literature. Commun. Assoc. Inf. Syst. Thorsten Schoormann, Gero Strobel, Frederik Möller, Dimitri Petrik, Patrick Zschech
2022	—	`conf`	GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. ECIS Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
2022	J	`jnl`	GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. CoRR Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
2022	J	`jnl`	Survey and Systematization of 3D Object Detection Models and Methods. CoRR Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech
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	J	`jnl`	A survey of image labelling for computer vision applications. CoRR Christoph Sager, Christian Janiesch, Patrick Zschech
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`	Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern. HMD Prax. Wirtsch. Patrick Zschech, Christoph Sager, Philipp Siebers, Maik Pertermann
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`	Tweeting in IIoT Ecosystems - Empirical Insights from Social Media Analytics about IIoT Platforms. Software Management Dimitri Petrik, Katharina Pantow, Patrick Zschech, Georg Herzwurm
2021	—	`conf`	Tweeting in IIoT Ecosystems - Empirical Insights from Social Media Analytics about IIoT Platforms. Wirtschaftsinformatik Dimitri Petrik, Katharina Pantow, Patrick Zschech, Georg Herzwurm
2021	J	`jnl`	labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds. CoRR Christoph Sager, Patrick Zschech, Niklas Kühl
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`	Review and Systematization of Solutions for 3D Object Detection. Wirtschaftsinformatik (Zentrale Tracks) Jonas Friederich, Patrick Zschech
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`	Application of Process Mining Techniques to Support Maintenance-Related Objectives. Wirtschaftsinformatik Richard Horn, Patrick Zschech
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	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
2018	—	`conf`	A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics. ECIS Patrick Zschech
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`	Constituent Elements for Prescriptive Analytics Systems. ECIS Karolin Stefani, Patrick Zschech
2018	J	`jnl`	Data Science Skills and Enabling Enterprise Systems. HMD Prax. Wirtsch. Patrick Zschech, Vera Fleißner, Nicole Baumgärtel, Andreas Hilbert
2018	J	`jnl`	Predictive Maintenance in der industriellen Praxis. HMD Prax. Wirtsch. Raphael Bink, Patrick Zschech
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	J	`jnl`	Das aufstrebende Berufsbild des Data Scientist. HMD Prax. Wirtsch. Conny Schumann, Patrick Zschech, Andreas Hilbert
2014	—	`conf`	Existieren Wissensmanagement-Schulen? Eine Clusteranalyse von Wissensmanagement-Beiträgen aus den letzten 10 Jahren. GeNeMe Paul Kruse, Christian Kummer, Patrick Zschech