Patrick Zschech

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Kai HeinrichOtto-von-Guericke Universität MagdeburgAdresse e-mail validée de ovgu.de
Christian JanieschTU Dortmund UniversityAdresse e-mail validée de tu-dortmund.de
Mathias KrausProfessor for Explainable AI, University of RegensburgAdresse e-mail validée de informatik.uni-regensburg.de
Christoph SagerTechnische Universität DresdenAdresse e-mail validée de tu-dresden.de
Sven WeinzierlResearcher, Friedrich-Alexander-Universität Erlangen-NürnbergAdresse e-mail validée de fau.de
Stefan FeuerriegelProfessor, LMU MunichAdresse e-mail validée de lmu.de
Jochen HartmannProfessor of Digital Marketing, TUM School of Management, Technical University of MunichAdresse e-mail validée de tum.de
Sandra ZilkerTechnische Hochschule Nürnberg Georg Simon OhmAdresse e-mail validée de fau.de
Nico HambauerPhD Student in Explainable AI in Business Analytics, University of Regensburg, GermanyAdresse e-mail validée de ur.de
Niklas KühlUniversity of BayreuthAdresse e-mail validée de uni-bayreuth.de
Dimitri PetrikResearch Group Leader for Intelligent Circular Systems, GSaME, University of StuttgartAdresse e-mail validée de bwi.uni-stuttgart.de
Björn MöllerInstitute for Communcations TechnologyAdresse e-mail validée de tu-braunschweig.de
Thorsten SchoormannRoskilde UniversityAdresse e-mail validée de ruc.dk
Gero StrobelUniversity Duisburg-EssenAdresse e-mail validée de paluno.uni-due.de
Frederik MöllerTechnische Universität BraunschweigAdresse e-mail validée de tu-braunschweig.de
Jonas FriederichUniversity of Southern DenmarkAdresse e-mail validée de mmmi.sdu.dk
Lukas-Valentin HermJulius-Maximilians-Universität WürzburgAdresse e-mail validée de uni-wuerzburg.de
Martin MatznerFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Adresse e-mail validée de fau.de
Johannes GrafTU DresdenAdresse e-mail validée de mailbox.tu-dresden.de
Janis Sebastian NeufeldChair of Operations Management, Otto-von-Guericke University MagdeburgAdresse e-mail validée de ovgu.de

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Patrick Zschech

Professor for Intelligent Information Systems & Processes, Leipzig University

Adresse e-mail validée de uni-leipzig.de - Page d'accueil

Business Analytics Decision Support Systems Deep Learning Interpretable Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Machine learning and deep learning C Janiesch, P Zschech, K Heinrich Electronic Markets 31 (3), 685-695, 2021	2748	2021
Generative ai S Feuerriegel, J Hartmann, C Janiesch, P Zschech Business & Information Systems Engineering 66 (1), 111-126, 2024	562	2024
A survey of image labelling for computer vision applications C Sager, C Janiesch, P Zschech Journal of Business Analytics 4 (2), 91-110, 2021	113	2021
Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature T Schoormann, G Strobel, F Möller, D Petrik, P Zschech Communications of the Association for Information Systems 52 (1), 8, 2023	74	2023
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models J Zipfel, F Verworner, M Fischer, U Wieland, M Kraus, P Zschech Computers & Industrial Engineering 177, 109045, 2023	65	2023
Machine Learning and Deep Learning. arXiv C Janiesch, P Zschech, K Heinrich	62*	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 K Heinrich, P Zschech, C Janiesch, M Bonin Decision Support Systems, 113494, 2021	58	2021
How Much AI Do You Require? Decision Factors for Adopting AI Technology J Wanner, K Heinrich, C Janiesch, P Zschech 41st International Conference on Information Systems (ICIS), India, 2020	55*	2020
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems J Wanner, LV Herm, K Heinrich, C Janiesch, P Zschech 41st International Conference on Information Systems (ICIS), India, 2020	45	2020
Generative AI S Feuerriegel, J Hartmann, C Janiesch, P Zschech Business & Information Systems Engineering 66, 111–126, 2024	40*	2024
A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics P Zschech 26th European Conference on Information Systems (ECIS), Portsmouth, UK, 2018	39	2018
Intelligent User Assistance for Automated Data Mining Method Selection P Zschech, R Horn, D Höschele, C Janiesch, K Heinrich Business & Information Systems Engineering 62 (3), 227–247, 2020	36*	2020
Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning P Zschech, K Heinrich, R Bink, JS Neufeld Business & Information Systems Engineering 61 (3), 327–343, 2019	30	2019
GAM (e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints P Zschech, S Weinzierl, N Hambauer, S Zilker, M Kraus 30th European Conference on Information Systems (ECIS), Timisoara, Romania, 2022	23	2022
labelcloud: A lightweight domain-independent labeling tool for 3d object detection in point clouds C Sager, P Zschech, N Kühl arXiv preprint arXiv:2103.04970, 2021	23	2021
Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting K Heinrich, A Roth, P Zschech 27th European Conference on Information Systems (ECIS), Stockholm, Schweden, 2019	22	2019
Das aufstrebende Berufsbild des Data Scientist C Schumann, P Zschech, A Hilbert HMD Praxis der Wirtschaftsinformatik 53 (4), 453-466, 2016	22	2016
Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems K Heinrich, P Zschech, T Skouti, J Griebenow, S Riechert 25th Americas Conference on Information Systems (AMCIS), 2019	21	2019
Data Science Skills and Enabling Enterprise Systems P Zschech, V Fleißner, N Baumgärtel, A Hilbert HMD Praxis der Wirtschaftsinformatik 55 (1), 163-181, 2018	21	2018
Predictive Maintenance in der industriellen Praxis R Bink, P Zschech HMD Praxis der Wirtschaftsinformatik: Vol. 55, No. 3, 2018	21	2018

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