2025:
Ester Judith Herrmann , Michael Guckert, Dimitri Gruen , Till Keller , Khodr Tello ,Werner Seeger , Samuel Sossalla and Birgit Assmus: Case Series Evaluating the Relationship of SGLT2 Inhibition to Pulmonary Artery Pressure and Non-Invasive Cardiopulmonary Parameters in HFpEF/HFmrEF Patients—A Pilot Study, January 2025, Sensors 25(3)
2024:
Erbil Batur BULUT, Gerd MANTHEI, Ivan SIRBU, Michael GUCKERT: Research of Acoustic Emission Characteristicsand Applicability of Artificial Intelligencefor Source Localization, EWGAE 202436th Conference of the European Working Group on Acoustic Emission, Potsdam
Timm STRAUB, Michael GUCKERT, Udo FIEDLER, Simon STRAUCH: Explainable AI based Predictions for WorkpieceQuality, EWGAE 202436th Conference of the European Working Group on Acoustic Emission, Potsdam
Erbil Batur BULUT, Gerd MANTHEI, Ivan SIRBU, Michael GUCKERT: Classification of Crack Coordinates through Wavelet - Analysis and CNN: Analysis of Data Preparation and Network Structure,EWGAE 202436th Conference of the European Working Group on Acoustic Emission, Potsdam
Ester J. Herrmann, Denise Lange, Jennifer Hannig, Gina Zimmer, Dimitri Gruen, Till Keller, · Albin Edegran, Linda S. Johnson, Samuel Sossalla, Michael Guckert, Birgit Assmus: Association of daily physical activity with pulmonary artery pressure in HFpEF and HFmrEF NYHA class III patients: a pilot trial—feasibility and first results, November 2024, Clinical Research in Cardiology, DOI: 10.1007/s00392-024-02564-6
Nils Gumpfer, Borislav Dinov, Samuel Sossalla, Michael Guckert, Jennifer Hannig:
Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation. AIME (2) 2024: 350-361
2023:
Gumpfer, N.; Prim, J.; Keller, T.; Seeger, B.; Guckert. M.; Hannig, J.: SIGNed Explanations: Unveiling relevant features by reducing bias, If. Fusion 99, 101883 (2023)
Nguyen, J.; Powers, S.; Urquharts, N., Eckerle, D.; Farrenkopf, T.; Guckert, M.: Extending AGADE Traffic to Simulate Auctions in Shared Mobility Services, ECMS 2023, 201-207
Bruneß, D.; Nax, M.; Guckert, M.; Schulze, C.; Minor, M.: A Hybrid AI-Based Method for ICD Classification of Medical Documents, ICIMTH 2023, 1-4
Manthei G.; Guckert, M.: Classification of located Acoustic Emission Events using Neural Networks, Journal of Nondestructive Evaluation (42), 2023
2022:
Prim, J.; Pöschl, H.; Guckert, M.: AI-based Product Quality Controlling in an Anodizing Process, Anwendungen und Konzepte der Wirtschaftsinformatik, AKWI Nr. 16 (2022), DOI: https://doi.org/10.26034/lu.akwi.2022.n16
Torben Eckwert, Michael Guckert, Gabriele Taentzer: EvolveDB: a tool for model driven schema evolution. MoDELS (Companion) 2022: 61-65
Bruness, D., Bay M., Schulze C., Guckert, M., Minor, M.: An Ontology-based transfer learning method improving classification of medical documents, 21 IEEE International Conference on Machine Learning and Applications, 2022, Bahamas
Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert:
Multi-Agent Modelling Notation (MAMN): A Multi-layered Graphical Modelling Notation for Agent-Based Simulations. PRIMA 2022: 640-649
Manthei, G.; Guckert, M.: Classification of located Acoustic Emission Events using Neural Networks
26th International Acoustic Emission Symposium (IAES-26), October 31 -November 2, 2022
Kawasaki City Industrial Promotion Hall
Hoffmann, B.; Urquhart, N.; Chalmers, K.; Guckert, M.: An Empirical Evaluation of a Novel Domain-Specific Language -- Modelling Vehicle Routing Problems with Athos, Journal of Empirical Software Engineering 27(7), 2022
Nguyen, J.; Powers, S.; Urquhart, N.; Farrenkopf, T.; Guckert, M.: Modelling the Impact of Individual Preferences on Traffic Policies, Springer Nature Computer Science 3(5), July 2022
Guckert, M., Milanovic, K., Hannig, J., Simon, D., Wettengl, T., Evers, D., Kleyer, A., Keller, T., Pitt, J. The Disruption of Trust in the Digital Transformation Leading to Health 4.0, Frontiers in Digital Health. 2022
2021:
Nguyen, J.; Powers, S.; Urquhart, N.; Farrenkopf, T.; Guckert, M.: An overview of agent-based traffic simulators, Transportation Research Interdisciplinary Perspectives, 12(3), December 2021, DOI: 10.1016/j.trip.2021.100486
Stützner, E.; Gumpfer, N.; Wegrner, S.; Prim, J.; Grün, D.; Guckert, M.; Keller, T.: Machine learning to optimize ECG leadwise evaluation for localization of myocardial infarction, Clin Res Cardiol (2022). https://doi.org/10.1007/s00392-022-02002-5
Nguyen, J.; Powers, S.; Urquhart, N.; Farrenkopf, T.; Guckert, M.: Modelling Individual Preferences to Study and Predict Effects on Traffic Policies in Demazeau Y et al. Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 21th International Conference, PAAMS 2021, Salamanca, Spain
Nguyen, J.; Powers, S.; Urquhart, N.; Farrenkopf, T.; Guckert, M.: Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour in Demazeau, Y. et. al. Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 21th International Conference, PAAMS 2021, Salamanca, Spain
Holznigenkemper, J.; Keiner, N.; Hannig, J.; Seeger B.; Guckert, M.: Robust Shipping Date Predictions in Manufacturing using High-level Petri Nets, International Journal of Modelling and Simulation, August 2021
Prim, J., Uhlemann, T., Gumpfer, N., Grün, D., Wegener, S., Krug, S., Hannig, J., Keller, T., Guckert, M.(2021). A data-pipeline processing electrocardiogram recordings for use in artificial intelligence algorithms. ESC Congress 2021.
Wegener, S., Grün, D., Prim, J., Gumpfer, N., Wolter, S., Hamm, C.W., Liebetrau, C., Hannig, J., Guckert, M., Keller, T. (2021) Predicting mortality in cardiovascular patients using electrocardiogram data and artificial intelligence. ESC Congress 2021.
Gumpfer, N., Wegener, S., Prim, J., Grün, D., Hannig, J., Keller, T., Guckert, M. (2021). On the importance of representative datasets in ECG-based artificial intelligence. ESC Congress 2021.
Wegener, S., Schmidt, T., Prim, J., Gumpfer, N., Grün, D., Hannig, J., Guckert, M., Keller, T. (2021). Detecting a broader spectrum of cardiac pathologies in electrocardiogram data by applying a deep neural network designed to detect a specific cardiac disease. ESC Congress 2021.
Gumpfer, N.; Prim, J.; Grün, D.; Hannig, J.; Keller, T., Guckert, M.: An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models, Artificial Intelligence in Medicine, Springer, Proceedings of International Conference on Artificial Intelligence in Medicine,2021, Porto
Kittel, F.; Enenkel, J.; Holznigenkemper, J.; Urquhart N.; Guckert, M.: Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times, The Genetic and Evolutionary Computing Conference - GECCO 2021, Lille
Johannes Nguyen, J.; Farrenkopf, T.; Guckert, M.; Powers, S.; Urquhart, N.: Using Semantic Technology To Model Persona For Adaptable Agents},Proceedings of the 35th International {ECMS} International Conference on Modelling and Simulation, 2021, Virtual Event, UK, May 31
Guckert, M.; Gumpfer, N., Hannig, J, Keller, T.; A conceptual framework for establishing trust in real world intelligent systems, Cognitive Systems Research, Volume 68, 2021, pp. 143-155
Bay, M.; Bruneß, D.; Herold, M.; Schulze, C.; Guckert, M.; Minor, M.: Term Extraction from Medical Documents Using Word Embeddings, 2020 6th IEEE Congress on Information Science and Technology (CiSt), June 2021
2020:
Grün, D.; Rudoph, F.; Gumpfer, N.; Hannig, J.; Elsner, L.; von Jeinsen, B.; Hamm, C.W.; Rieth, A.; Guckert, M.; Keller, T.: Identifying Heart Failure in ECG data with Artificial Intelligence, Fontiers in Digital Health, (accpeted to appear)
Steuler, L.; Passow, B.; Beck, M.; Guckert, M.: Optimizing the Energy Consumption of Neural Networks, 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE, Canberra
Gumpfer, N.; Grün. D.; Hannig, J.; Keller, T.; Guckert, M.: Detecting myocardial scar using electrocardiogram data and deep neural networks, Biological Chemistry, October 2020, DOI: https://doi.org/10.1515/hsz-2020-0169
Gumpfer, N.; Grün. D.; Hannig, J.; Keller, T.; Guckert, M.: Detecting myocardial scar using electrocardiogram data and deep neural networks, German Conference on Bioinformatics (GCB) 2020, 16-19 September 2020, German Cancer Research Center (DKFZ), Heidelberg
Gumpfer, N.; Grün. D.; Hannig, J.; Keller, T.; Guckert, M.: A deep learning approach to predict myocardial scar tissue based on electrocardiogram data, German Conference on Bioinformatics (GCB) 2020, 16-19 September 2020, German Cancer Research Center (DKFZ), Heidelberg (Poster)
Gumpfer, N.; Prim, J.; Hannig, J.; Grün. D.; Morgen A.; Körber, M.; Seeger, B.; Keller, T.; Guckert, M.: Using database queries to detect conspicuous R-R-intervals in electrocardiogram records, German Conference on Bioinformatics (GCB) 2020, 16-19 September 2020, German Cancer Research Center (DKFZ), Heidelberg (Poster)
Hannig, J.; Chamgordani, N.A., Guckert, M.; Ackermann, J.; Koch, I: The virtual infection model of an epithelial cell by Salmonella Typhimurium: an agent-based simulation, German Conference on Bioinformatics (GCB) 2020, 16-19 September 2020, German Cancer Research Center (DKFZ), Heidelberg (Poster)
Nguyen, J.; Geyer, J.; Farrenkopf,T. Guckert, M.: AGADE Traffic 2.0 - A Knowledge-Based Approach for Multi-agent traffic simulations, in Demazeau Y et al. Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness: The PAAMS Collection, 18th International Conference, PAAMS 2020, Aquila, Italy
Buchert, J.; Schulze, C.; Guckert, M.: Benchmark für ein personalisiertes Empfehlungssystem mit zeitlicher Segmentierung basierend auf Assoziationsregeln, Anwendungen und Konzepte der Wirtschaftsinformatik, AKWI Nr. 11 (2020)
D. Grün, F. Rudolph, N. Gumpfer, J. Hannig, L. K. Elsner, B. von Jeinsen, A. Rieth, C. W. Hamm, M. Guckert, T. Keller: Use of artificial intelligence to process ECG data for identification of heart failure – a meta-analysis, DOI: 10.1007/s00392-020-01621-0, Clin Res Cardiol 109, Suppl 1, April 2020 - Beitrag V633
Hoffmann B, Chalmers K, Urquhart N, Guckert M. (2020) ATHOS: An Extensible DSL for Model Driven traffic and Transport Simulation, Modellierung 2020, 19.-21. Februar 2020, Wien, Österreich
2019:
Hoffmann B, Chalmers K, Urquhart N, Guckert M. (2019) Simulating Dynamic Vehicle Routing Problems with Athos, Nr. 10 (2019): Anwendungen und Konzepte der Wirtschaftsinformatik, AKWI Nr. 10 (2019)
Urquhart N, Guckert M, Powers S: Increasing Trust in Meta-Heuristics by Using MAP-Elites, July 2019, Genetic and Evolutionary Computation Conference (GECCO) 2019, Prag, Czech Republic
Hoffmann B, Chalmers K, Urquhart N, Guckert M. (2019) Simulating Dynamic Vehicle Routing Problems with Athos, June 2019, 33rd International ECMS Conference on Modelling and Simulation, Caserta, Italy
Gumpfer, N.; Hurka, S.; Hannig, J.; Rolf, A., Hamm, C. W.; Guckert, M., Keller, T.: Development of a machine learning algorithm to predict myocardial scar based on a 12-lead electrocardiogram, Clin Res Cardiol 108, Suppl 1, April 2019 - Beitrag V1802
Hoffmann B, Chalmers K, Urquhart N, Guckert M. (2019) Athos - A Model Driven Approach to Describe and Solve Optimisation Problems, ACM Workshop on Real World Domain Specific Languages 2019, 16th February 2019, 4th International ACM RWDSL Workshop, Washington DC, USA
2018:
Lenz D, Schulze C, Guckert M. (2018) Real-time Session-Based Recommendations using LSTM with Neural Embeddings, Lecture Notes in Computer Science, 11140
Andras P, Esterle L, Guckert M, Han TA, Lewis P, Milanovic K, Payne T, Perret C, Pitt J, Urquhart N, Well S. (2018) Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems, IEEE Technology and Society Magazine. 37(4)
Nitzl N, Schulze C, Guckert M. (2018) Finanzwirtschaftliche Modelle in einer integrierten R-Umgebung, Anwendungen und Konzepte der Wirtschaftsinformatik, AKWI Nr. 7 (2018)
Nguyen J, Geyer J, Farrenkopf T, Guckert M. (2018) Aided OWL Notation (AOWLN): Conceptual Modelling and Visualisation of Advanced SWRL Rules, IC3K 2018,10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Seville, Spain
Geyer J, Nguyen J, Farrenkopf T, Guckert M. (2018) Single Rule Evaluation (SRE): Computational Algorithmic Debugging for Complex SWRL Rules, IC3K 2018,10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Seville, Spain
Hoffmann B, Urquhart N, Chalmers K, Guckert M. (2018) A Domain-specific Language for Routing Problems, 32nd European Conference on Modelling and Simulation (ECMS) 2018, Wilhelmshaven, Germany
Hoffmann B, Urquhart N, Chalmers K, Guckert M. (2018) Towards reducing the complexity of multi-agent simulations by applying model-driven techniques, in Demazeau Y et al. Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 16th International Conference, PAAMS 2018, Toledo, Spain
2017:
Lang M, Schulze C, Guckert M. (2017) Sentimentanalyse von Nachrichtentiteln, in Barton T et al. Angewandte Forschung in der Wirtschaftsinformatik: Prozesse, Technologie, Anwendungen, Systeme und Management, Tagungsband zur AKWI-Fachtagung 2017, Aschaffenburg, Germany
Schwab J, Willems M, Guckert M. (2017) Tourenoptimierung in Barton T et al. Angewandte Forschung in der Wirtschaftsinformatik: Prozesse, Technologie, Anwendungen, Systeme und Management, Tagungsband zur AKWI-Fachtagung 2017, Aschaffenburg, Germany
Vanderpuye M, Richter M, Guckert M. (2017) Modellgetriebene Entwicklung - Vor- und Nachteile in der Test- und Einführungsphase in Barton T et al. Angewandte Forschung in der Wirtschaftsinformatik: Prozesse, Technologie, Anwendungen, Systeme und Management, Tagungsband zur AKWI-Fachtagung 2017, Aschaffenburg, Germany
Nitzl N, Schulze C, Guckert M. (2017) Berechnung von finanzwirtschaftlichen Modellen in einer intergrierten R-Umgebung in Barton T et al. Angewandte Forschung in der Wirtschaftsinformatik: Prozesse, Technologie, Anwendungen, Systeme und Management, Tagungsband zur AKWI-Fachtagung 2017, Aschaffenburg, Germany
Farrenkopf T, Guckert M, Urquhart N, Wells S. (2017) Information Diffusion in Multi-Agent Communities, Conference: World Congress of the International Microsimulation Association (IMA 2017), Turin, Italy
Rotärmel S, Guckert M, Farrenkopf T, Urquhart N. (2017) AGADE-TRAFFIC Multi Agent Simulations in Geographic Networks in in Demazeau Y et al. Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal
2016:
Farrenkopf T, Guckert M, Urquhart N, Wells S. (2016) Ontology Based Business Simulations, Journal of Artificial Societies and Social Simulation. 19(4)
Vaupel S, Taentzer G, Gerlach R, Guckert M. (2016) Model-driven development of mobile applications for Android and iOS supporting role-based app variability, Software and Systems Modeling. 17(1), 35-63
Gerlach R, Guckert M, Malerczyk C, Arlt HC, Taentzer G, Vaupel S, Fatum M. (2016) Modellgetriebene Entwicklung von mobilen Anwendungen mit Augmented Reality Funktionalität in Barton T et al. Mobile Anwendungen in Unternehmen: Konzepte und betriebliche Einsatzszenarien, Springer-Verlag
Vaupel S, Taentzer G, Gerlach R, Guckert M. (2016) Model-Driven Development of Platform-Independent Mobile Applications Supporting Role-based App Variability, Software Engineering 2016, Wien, Austria
Farrenkopf T, Guckert M, Urquhart N, Wells S. (2016) Demo paper: AGADE - Scalability of ontology based agent simulations in Demazeau Y et al. Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability, 14th International Conference, PAAMS 2016, Sevilla, Spain
2015:
Farrenkopf T, Guckert M, Urquhart N. (2015) AGADE – Using Personal Preferences and World Knowledge to Model Agent Behaviour in Demazeau Y et al. Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability, 13th International Conference, PAAMS 2015, Salamanca, Spain
Guckert M, Taentzer G, Malercyzk C, Gerlach R, Vaupel S, Fatum M. (2015) Plattformunabhängige Entwicklung mobiler Anwendungen mit Augmented Reality-Funktionalität, Anwendungen und Konzepte der Wirtschaftsinformatik, AKWI. 3, 5
Richter M, Guckert M, Vanderpuye M. (2015) Modellgetriebene Entwicklung einer Eclipse-RAP-Anwendung unter Verwendung des Eclipse Modeling Frameworks in Barton T et al. Angewandte Forschung in der Wirtschaftsinformatik: Prozesse, Technologie, Anwendungen, Systeme und Management, Tagungsband zur AKWI-Fachtagung 2015, Luzern, Germany
2014:
Vaupel S, Taentzer G, Harries J, Gerlach R, Guckert M. (2014) Model-Driven Development of Mobile Applications Allowing Role-Driven Variants in Dingel J et al. International Conference on Model-Driven Engineering Languages and Systems, 17th International Conference, MODELS 2014, Valencia, Spain
Farrenkopf T, Guckert M, Hoffmann B, Urquhart N. (2014) AGADE - How individual Guidance Leads to Group Behaviour and How This Can Be Simulated in Müller J et al. Multiagent System Technologies, Lecture Notes in Computer Science. Springer International Publishing. (8732), 234-250