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ORCIDManfred Reichert
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- affiliation: University of Ulm, Germany
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2020 – today
- 2024
[j127]Yusuf Kirikkayis
, Michael Winter, Manfred Reichert:
A User Study on Modeling IoT-Aware Processes with BPMN 2.0. Inf. 15(4): 229 (2024)- [j126]Marius Breitmayer, Lisa Arnold, Michael Winter, Manfred Reichert:
Exploring user editing preferences in electronic forms: an empirical study. Inf. Syst. E Bus. Manag. 22(1): 171-207 (2024) - [j125]Pascal Riedel, Lukas Schick, Reinhold von Schwerin, Manfred Reichert, Daniel Schaudt, Alexander Hafner:
Comparative analysis of open-source federated learning frameworks - a literature-based survey and review. Int. J. Mach. Learn. Cybern. 15(11): 5257-5278 (2024) - [j124]Robin Kraft, Manfred Reichert, Rüdiger Pryss:
Mobile Crowdsensing in Ecological Momentary Assessment mHealth Studies: A Systematic Review and Analysis. Sensors 24(2): 472 (2024) - [j123]Michael Stach, Lena Mulansky, Manfred Reichert, Rüdiger Pryss, Felix Beierle:
Call to Action: Investigating Interaction Delay in Smartphone Notifications. Sensors 24(8): 2612 (2024) - [j122]Ghada El-Khawaga, Omar M. Elzeki, Mervat Abu-Elkheir, Manfred Reichert:
Why Should I Trust Your Explanation? An Evaluation Approach for XAI Methods Applied to Predictive Process Monitoring Results. IEEE Trans. Artif. Intell. 5(4): 1458-1472 (2024) - [c371]Marius Breitmayer, Lisa Arnold, Manfred Reichert:
Permission Analysis for Object-Centric Processes. CAiSE Forum 2024: 11-19 - [c370]Irene Barba, Carmelo Del Valle, Andrés Jiménez-Ramírez, Barbara Weber, Manfred Reichert:
Discovering Two-Level Business Process Models from User Interface Event Logs. CAiSE 2024: 456-472 - [c369]Lisa Arnold, Marius Breitmayer, Manfred Reichert:
Determining the Progress of a Business Object Based on its Object Instances: An Empirical Study. ICSOFT 2024: 315-322 - [c368]Marius Breitmayer, Lisa Arnold, Marko Pejic, Manfred Reichert:
Transforming Object-Centric Process Models into BPMN 2.0 Models in the PHILharmonicFlows Framework. Modellierung 2024: 83-98 - [c367]Marius Breitmayer, Lisa Arnold, David Goth, Manfred Reichert:
An Approach for Discovering Data-Driven Object Lifecycle Processes. RCIS (1) 2024: 237-254 - [c366]Philipp Hehnle, Manfred Reichert:
Towards the Usage of Object-Aware Process Variants in Multiple Autonomous Organisations (short paper). ZEUS 2024: 9-13 - [c365]Marius Breitmayer, Lisa Arnold, Manfred Reichert:
Simulating Event Logs from Object Lifecycle Processes (short paper). ZEUS 2024: 14-21 - [c364]Pascal Schiessle, Yusuf Kirikkayis, Manfred Reichert:
Towards Robustness of IoT devices in BPMNE4IoT (short paper). ZEUS 2024: 41-46 - [c363]Lisa Arnold, Marius Breitmayer, Manfred Reichert:
Predictive Process Monitoring: An Implementation and Comparison of Student Performance Prediciton (short paper). ZEUS 2024: 47-53 - [i27]Juergen Mangler, Ronny Seiger, Janik-Vasily Benzin, Joscha Grüger, Yusuf Kirikkayis, Florian Gallik, Lukas Malburg, Matthias Ehrendorfer, Yannis Bertrand, Marco Franceschetti, Barbara Weber, Stefanie Rinderle-Ma, Ralph Bergmann, Estefanía Serral Asensio, Manfred Reichert:
From Internet of Things Data to Business Processes: Challenges and a Framework. CoRR abs/2405.08528 (2024) - [i26]Marvin Voelter, Raheleh Hadian, Timotheus Kampik, Marius Breitmayer, Manfred Reichert:
Leveraging Generative AI for Extracting Process Models from Multimodal Documents. CoRR abs/2406.04959 (2024) - [i25]Philipp Hehnle, Manfred Reichert:
Flexible Process Variant Binding in Information Systems with Software Product Line Engineering. CoRR abs/2410.17689 (2024) - 2023
- [j121]Pascal Riedel, Manfred Reichert, Reinhold von Schwerin, Alexander Hafner, Daniel Schaudt, Gaurav Singh:
Performance Analysis of Federated Learning Algorithms for Multilingual Protest News Detection Using Pre-Trained DistilBERT and BERT. IEEE Access 11: 134009-134022 (2023) - [j120]Iris Beerepoot, Claudio Di Ciccio, Hajo A. Reijers, Stefanie Rinderle-Ma, Wasana Bandara, Andrea Burattin, Diego Calvanese, Tianwa Chen, Izack Cohen, Benoît Depaire, Gemma Di Federico, Marlon Dumas, Christopher G. J. van Dun, Tobias Fehrer, Dominik Andreas Fischer, Avigdor Gal, Marta Indulska, Vatche Isahagian, Christopher Klinkmüller, Wolfgang Kratsch, Henrik Leopold, Amy Van Looy, Hugo A. López, Sanja Lukumbuzya, Jan Mendling, Lara Meyers, Linda Moder, Marco Montali, Vinod Muthusamy, Manfred Reichert, Yara Rizk, Michael Rosemann, Maximilian Röglinger, Shazia Sadiq, Ronny Seiger, Tijs Slaats, Mantas Simkus, Ida Asadi Someh, Barbara Weber, Ingo Weber, Mathias Weske, Francesca Zerbato:
The biggest business process management problems to solve before we die. Comput. Ind. 146: 103837 (2023) - [j119]Stefan Gaugel, Manfred Reichert:
PrecTime: A deep learning architecture for precise time series segmentation in industrial manufacturing operations. Eng. Appl. Artif. Intell. 122: 106078 (2023) - [j118]Judith Wewerka, Manfred Reichert:
Robotic process automation - a systematic mapping study and classification framework. Enterp. Inf. Syst. 17(2) (2023) - [j117]Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings. Expert Syst. Appl. 213(Part): 119217 (2023) - [j116]Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Corrigendum to "Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings" [Expert Syst. Appl. 213 (2023) 119217]. Expert Syst. Appl. 216: 119403 (2023) - [j115]Yusuf Kirikkayis, Florian Gallik, Michael Winter, Manfred Reichert:
BPMNE4IoT: A Framework for Modeling, Executing and Monitoring IoT-Driven Processes. Future Internet 15(3): 90 (2023) - [j114]Michael Winter, Rüdiger Pryss, Matthias Fink, Manfred Reichert:
Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework. Inf. Syst. E Bus. Manag. 21(3): 723-751 (2023) - [j113]Abdul Rahman Idrees, Robin Kraft, Michael Winter, Ann-Marie Küchler, Harald Baumeister, Ronan Reilly, Manfred Reichert, Rüdiger Pryss:
Exploring the usability of an internet-based intervention and its providing eHealth platform in an eye-tracking study. J. Ambient Intell. Humaniz. Comput. 14(7): 9621-9636 (2023) - [j112]Stefan Gaugel, Manfred Reichert:
Industrial Transfer Learning for Multivariate Time Series Segmentation: A Case Study on Hydraulic Pump Testing Cycles. Sensors 23(7): 3636 (2023) - [j111]Felix Beierle, Johannes Allgaier, Carolin Stupp, Thomas Keil, Winfried Schlee, Johannes Schobel, Carsten Vogel, Fabian Haug, Julian Haug, Marc Holfelder, Berthold Langguth, Jana Langguth, Burgi Riens, Ryan King, Lena Mulansky, Marc Schickler, Michael Stach, Peter Heuschmann, Manfred Wildner, Helmut Greger, Manfred Reichert, Hans A. Kestler, Rüdiger Pryss:
Self-Assessment of Having COVID-19 With the Corona Check mHealth App. IEEE J. Biomed. Health Informatics 27(6): 2794-2805 (2023) - [c362]Florian Gallik, Yusuf Kirikkayis, Ronny Seiger, Manfred Reichert:
An Object-Centric Approach to Handling Concurrency in IoT-Aware Processes. Business Process Management Workshops 2023: 105-117 - [c361]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
Modeling, Executing and Monitoring IoT-Driven Business Rules. BPMDS/EMMSAD@CAiSE 2023: 88-102 - [c360]Yusuf Kirikkayis, Florian Gallik, Ronny Seiger, Manfred Reichert:
Integrating IoT-Driven Events into Business Processes. CAiSE Forum 2023: 86-94 - [c359]Yusuf Kirikkayis, Florian Gallik, Michael Winter, Manfred Reichert:
Improving Comprehensibility of IoT-Driven Business Processes through BPMN 2.0 Extension: A User Study. CENTERIS/ProjMAN/HCist 2023: 19-26 - [c358]Robin Kraft, Maximilian Blasi, Marc Schickler, Manfred Reichert, Rüdiger Pryss:
Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines. CollaborateCom (3) 2023: 229-248 - [c357]Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert:
A Rule-based Evaluation Method of Local Explainers for Predictive Process Monitoring. ICDM (Workshops) 2023: 922-930 - [c356]Stefan Gaugel, Binlan Wu, Adarsh Anand, Manfred Reichert:
Supervised Time Series Segmentation as Enabler of Multi-Phased Time Series Classification: A Study on Hydraulic End-of-Line Testing. INDIN 2023: 1-8 - [c355]Lisa Arnold, Marius Breitmayer, Manfred Reichert:
Monitoring Object-Centric Business Processes: An Empirical Study. RCIS 2023: 327-342 - [c354]Marius Breitmayer, Lisa Arnold, Manfred Reichert:
Data-Driven Customization of Object Lifecycle Processes. CBI 2023: 1-10 - [c353]Philipp Hehnle, Manfred Reichert:
Handling Process Variants in Information Systems with Software Product Line Engineering. CBI 2023: 1-10 - [c352]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
Enhancing BPMN 2.0 with IoT Modeling Aspects: How Much Language is Enough? (short paper). ZEUS 2023: 9-12 - [c351]Marius Breitmayer, Lisa Arnold, Stephan La Rocca, Manfred Reichert:
Discovering Process Models of Different Granularity from Legacy Software Systems (short paper). ZEUS 2023: 26-33 - [c350]Lisa Arnold, Marius Breitmayer, Manfred Reichert:
Towards Progress Determination in Dynamically Evolving Large Process Structures (short paper). ZEUS 2023: 34-38 - [i24]Stefan Gaugel, Manfred Reichert:
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations. CoRR abs/2302.10182 (2023) - 2022
- [j110]Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert:
XAI in the Context of Predictive Process Monitoring: An Empirical Analysis Framework. Algorithms 15(6): 199 (2022) - [j109]Marco Montali, Ingo Weber, Mathias Weske, Manfred Reichert:
Special issue: BPM 2018 selected papers in foundations and engineering. Inf. Syst. 103: 101477 (2022) - [j108]Walid Fdhila, David Knuplesch, Stefanie Rinderle-Ma, Manfred Reichert:
Verifying compliance in process choreographies: Foundations, algorithms, and implementation. Inf. Syst. 108: 101983 (2022) - [j107]Dirk Fahland, Chiara Ghidini, Marlon Dumas, Manfred Reichert:
Special issue: BPM 2020 Selected Papers in Foundations and Engineering. Inf. Syst. 109: 102093 (2022) - [j106]Robin Kraft, Manfred Reichert, Rüdiger Pryss:
Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices. Sensors 22(1): 170 (2022) - [j105]Michael Winter, Rüdiger Pryss, Thomas Probst, Julia Baß, Manfred Reichert:
Measuring the Cognitive Complexity in the Comprehension of Modular Process Models. IEEE Trans. Cogn. Dev. Syst. 14(1): 164-180 (2022) - [j104]Robin Kraft, Fabian Hofmann, Manfred Reichert, Rüdiger Pryss:
Dealing With Inaccurate Sensor Data in the Context of Mobile Crowdsensing and mHealth. IEEE J. Biomed. Health Informatics 26(11): 5439-5449 (2022) - [c349]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
A Holistic Framework for IoT-Aware Business Processes. Business Process Management Workshops 2022: 89-100 - [c348]Jens Scheible, Fabian Hofmann, Manfred Reichert, Rüdiger Pryss, Marc Schickler:
Generic Concept for Integrating Voice Assistance Into Smart Therapeutic Interventions. CBMS 2022: 56-61 - [c347]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
Lifecycle Support for IoT-Driven Business Rules. CENTERIS/ProjMAN/HCist 2022: 193-200 - [c346]Marius Breitmayer, Lisa Arnold, Manfred Reichert:
Data-Driven Evolution of Activity Forms in Object- and Process-Aware Information Systems. CoopIS 2022: 186-204 - [c345]Michael Stach, Manfred Reichert, Fabian Prasser, Harald Baumeister, Winfried Schlee, Peter Heuschmann, Matthias Rose, Rüdiger Pryss:
Free Technical Solutions for Ecological Momentary Assessments - Searching GitHub plus Google. CSCI 2022: 1778-1781 - [c344]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges. EDOC 2022: 111-127 - [c343]Pia Beyer-Wunsch, Manfred Reichert, Rüdiger Pryss:
The Adjusted Reality Vision - Emerging Technology for Digital Transformation of Disruptive Environmental Stimuli. EUSPN/ICTH 2022: 157-164 - [c342]Marius Breitmayer, Lisa Arnold, Stephan La Rocca, Manfred Reichert:
Deriving Event Logs from Legacy Software Systems. ICPM Workshops 2022: 409-421 - [c341]Lisa Arnold, Marius Breitmayer, Manfred Reichert:
Progress Determination of a BPM Tool with Ad-Hoc Changes: An Empirical Study. RCIS 2022: 107-123 - [c340]Marius Breitmayer, Lisa Arnold, Manfred Reichert:
Enabling Conformance Checking for Object Lifecycle Processes. RCIS 2022: 124-141 - [c339]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
Towards a Comprehensive BPMN Extension for Modeling IoT-Aware Processes in Business Process Models. RCIS 2022: 711-718 - [c338]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
IoTDM4BPMN: An IoT-Enhanced Decision Making Framework for BPMN 2.0. ICSS 2022: 88-95 - [c337]Florian Gallik, Yusuf Kirikkayis, Manfred Reichert:
Modeling, Executing and Monitoring IoT-Aware Processes with BPM Technology. ICSS 2022: 96-103 - [c336]Abdul Rahman Idrees, Robin Kraft, Rüdiger Pryss, Manfred Reichert, Tran Nguyen, Lena Stenzel, Harald Baumeister:
Backend Concept of the eSano eHealth Platform for Internet- and Mobile-based Interventions. WiMob 2022: 88-93 - [c335]Marius Breitmayer, Lisa Arnold, Manfred Reichert:
Towards Retrograde Process Analysis in Running Legacy Applications (short paper). ZEUS 2022: 11-15 - [c334]Yusuf Kirikkayis, Florian Gallik, Manfred Reichert:
Visual Decision Modeling in IoT-Aware Processes (short paper). ZEUS 2022: 63-67 - [p12]Klaus Kammerer, Rüdiger Pryss, Manfred Reichert:
Retrieving, Abstracting, and Changing Business Process Models with PQL. Process Querying Methods 2022: 219-254 - [i23]Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert:
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues? CoRR abs/2202.08041 (2022) - [i22]Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert:
XAI in the context of Predictive Process Monitoring: Too much to Reveal. CoRR abs/2202.08265 (2022) - 2021
- [j103]Julian D. Schwab, Johannes Schobel, Silke D. Werle, Axel Fürstberger, Nensi Ikonomi, Robin Szekely, Patrick Thiam, Rolf Hühne, Niels Jahn, Rainer Schuler, Peter Kuhn, Martin Holderried, Florian Steger, Manfred Reichert, Udo X. Kaisers, Angelika M. R. Kestler, Thomas Seufferlein, Hans A. Kestler:
Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. IEEE Access 9: 83863-83875 (2021) - [j102]Irene Barba, Andrés Jiménez-Ramírez, Manfred Reichert, Carmelo Del Valle, Barbara Weber:
Flexible runtime support of business processes under rolling planning horizons. Expert Syst. Appl. 177: 114857 (2021) - [j101]Klaus Kammerer, Manuel Göster, Manfred Reichert, Rüdiger Pryss:
Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses. Future Internet 13(8): 203 (2021) - [j100]Kevin Andrews, Sebastian Steinau, Manfred Reichert:
Enabling runtime flexibility in data-centric and data-driven process execution engines. Inf. Syst. 101: 101447 (2021) - [j99]Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks. IEEE Robotics Autom. Lett. 6(2): 2357-2364 (2021) - [j98]Sebastian Steinau, Kevin Andrews, Manfred Reichert:
Coordinating large distributed relational process structures. Softw. Syst. Model. 20(5): 1403-1435 (2021) - [j97]Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets. IEEE Trans. Intell. Transp. Syst. 22(11): 7129-7144 (2021) - [c333]Michael Winter, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Thomas Probst, Rüdiger Pryss:
How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis. CBMS 2021: 313-318 - [c332]Judith Wewerka, Christian Micus, Manfred Reichert:
Seven Guidelines for Designing the User Interface in Robotic Process Automation. EDOC Workshops 2021: 157-165 - [c331]Lisa Arnold, Marius Breitmayer, Manfred Reichert:
A One-Dimensional Kalman Filter for Real-Time Progress Prediction in Object Lifecycle Processes. EDOC Workshops 2021: 176-185 - [c330]Florian Gallik, Michael Winter, Yusuf Kirikkayis, Rüdiger Pryss, Manfred Reichert:
DyVProMo - A Lightweight Web-Based Tool for the Dynamic Visualization of Additional Information in Business Process Models. EDOC Workshops 2021: 345-348 - [c329]Robin Kraft, Abdul Rahman Idrees, Lena Stenzel, Tran Nguyen, Manfred Reichert, Rüdiger Pryss, Harald Baumeister:
eSano - An eHealth Platform for Internet- and Mobile-based Interventions. EMBC 2021: 1997-2002 - [c328]Michael Winter, Harald Baumeister, Ulrich Frick, Miles Tallon, Manfred Reichert, Rüdiger Pryss:
Exploring the Usability of the German COVID-19 Contact Tracing App in a Combined Eye Tracking and Retrospective Think Aloud Study. EMBC 2021: 2215-2221 - [c327]Michael Stach, Florian Pflüger, Manfred Reichert, Rüdiger Pryss:
LAMP: a monitoring framework for mHealth application research. EUSPN/ICTH 2021: 203-210 - [c326]Abdul Rahman Idrees, Robin Kraft, Rüdiger Pryss, Manfred Reichert, Harald Baumeister:
Literature-based requirements analysis review of persuasive systems design for mental health applications. FNC/MobiSPC 2021: 143-150 - [c325]Volker Gruhn, Yanbo Han, Marc Hesenius, Manfred Reichert, Guiling Wang, Jian Yu, Liang Zhang:
BRIBOT: Towards a Service-Based Methodology for Bridging Business Processes and IoT Big Data. ICSOC 2021: 597-611 - [c324]Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert:
The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. ITSC 2021: 1225-1232 - [c323]Judith Wewerka, Manfred Reichert:
Robotic Process Automation in the Automotive Industry - Lessons Learned from an Exploratory Case Study. RCIS 2021: 3-19 - [c322]Judith Wewerka, Manfred Reichert:
Checklist-based Support of Knowledge Workers in Robotic Process Automation Projects. CBI (1) 2021: 52-61 - [c321]Lisa Arnold, Marius Breitmayer, Manfred Reichert:
Towards Real-Time Progress Determination of Object-Aware Business Processes. ZEUS 2021: 14-18 - [c320]Marius Breitmayer, Lisa Arnold, Manfred Reichert:
A Dashboard-based Approach for Monitoring Object-Aware Processes. ZEUS 2021: 29-33 - [e28]Artem Polyvyanyy, Moe Thandar Wynn, Amy Van Looy, Manfred Reichert:
Business Process Management Forum - BPM Forum 2021, Rome, Italy, September 06-10, 2021, Proceedings. Lecture Notes in Business Information Processing 427, Springer 2021, ISBN 978-3-030-85439-3 [contents] - [e27]Artem Polyvyanyy, Moe Thandar Wynn, Amy Van Looy, Manfred Reichert:
Business Process Management - 19th International Conference, BPM 2021, Rome, Italy, September 06-10, 2021, Proceedings. Lecture Notes in Computer Science 12875, Springer 2021, ISBN 978-3-030-85468-3 [contents] - [i21]Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks. CoRR abs/2102.01431 (2021) - [i20]Felix Beierle, Johannes Schobel, Carsten Vogel, Johannes Allgaier, Lena Mulansky, Fabian Haug, Julian Haug, Winfried Schlee, Marc Holfelder, Michael Stach, Marc Schickler, Harald Baumeister, Caroline Cohrdes, Jürgen Deckert, Lorenz Deserno, Johanna-Sophie Edler, Felizitas A. Eichner, Helmut Greger, Grit Hein, Peter Heuschmann, Dennis John, Hans A. Kestler, Dagmar Krefting, Berthold Langguth, Patrick Meybohm, Thomas Probst, Manfred Reichert, Marcel Romanos, Stefan Störk, Yannik Terhorst, Martin Weiß, Rüdiger Pryss:
Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. CoRR abs/2106.03386 (2021) - [i19]Michael Winter, Rüdiger Pryss, Matthias Fink, Manfred Reichert:
Towards Measuring and Quantifying the Comprehensibility of Process Models - The Process Model Comprehension Framework. CoRR abs/2106.12880 (2021) - [i18]Michael Winter, Rüdiger Pryss, Thomas Probst, Winfried Schlee, Miles Tallon, Ulrich Frick, Manfred Reichert:
Are Non-Experts Able to Comprehend Business Process Models - Study Insights Involving Novices and Experts. CoRR abs/2107.02030 (2021) - [i17]Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert:
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. CoRR abs/2107.04029 (2021) - [i16]Kevin Andrews, Manfred Reichert:
Empowering End-users with Object-aware Processes. CoRR abs/2107.09753 (2021) - [i15]Walid Fdhila, David Knuplesch, Stefanie Rinderle-Ma, Manfred Reichert:
Verifying Compliance in Process Choreographies: Foundations, Algorithms, and Implementation. CoRR abs/2110.09399 (2021) - [i14]Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Defining Gaze Patterns for Process Model Literacy - Exploring Visual Routines in Process Models with Diverse Mappings. CoRR abs/2111.02881 (2021) - 2020
- [j96]Ghada El-Khawaga, Mervat Abu-Elkheir, Sherif I. Barakat, Alaa M. Riad, Manfred Reichert:
CONDA-PM - A Systematic Review and Framework for Concept Drift Analysis in Process Mining. Algorithms 13(7): 161 (2020) - [j95]Marc Schickler, Manfred Reichert, Philip Geiger, Jens Winkler, Thomas Funk, Micha Weilbach, Rüdiger Pryss:
Flexible development of location-based mobile augmented reality applications with AREA. J. Ambient Intell. Humaniz. Comput. 11(12): 5809-5824 (2020) - [j94]Muntazir Mehdi, Constanze Riha, Patrick Neff, Albi Dode, Rüdiger Pryss, Winfried Schlee, Manfred Reichert, Franz J. Hauck:
Smartphone Apps in the Context of Tinnitus: Systematic Review. Sensors 20(6): 1725 (2020) - [j93]Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, Rüdiger Pryss:
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform. Sensors 20(12): 3456 (2020) - [j92]Michael Winter, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study. Sensors 20(16): 4561 (2020) - [j91]Klaus Kammerer, Rüdiger Pryss, Burkhard Hoppenstedt, Kevin Sommer, Manfred Reichert:
Process-Driven and Flow-Based Processing of Industrial Sensor Data. Sensors 20(18): 5245 (2020) - [c319]Kevin Andrews, Sebastian Steinau, Manfred Reichert:
Dynamically Switching Execution Context in Data-Centric BPM Approaches. BPMDS/EMMSAD@CAiSE 2020: 3-19 - [c318]