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Michael Guckert
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2020 – today
- 2024
- [j11]Ketra A. Schmitt
, Heather A. Love, Michael Guckert, Elisabeth Gilmore, Royce A. Francis, Neha Chugh, Antonio Bucchiarone:
Introducing the Editorial Board - Part I. IEEE Technol. Soc. Mag. 43(1): 9-12 (2024) - [c34]Nils Gumpfer
Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation. AIME (2) 2024: 350-361 - 2023
- [j10]Nils Gumpfer
SIGNed explanations: Unveiling relevant features by reducing bias. Inf. Fusion 99: 101883 (2023) - [j9]Simon T. Powers
The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI. IEEE Technol. Soc. Mag. 42(4): 95-106 (2023) - [c33]Johannes Nguyen
Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services. ECMS 2023: 201-207 - [c32]Daniel Bruneß, Matthias Bay, Christian Schulze, Michael Guckert, Mirjam Minor:
A Hybrid AI-Based Method for ICD Classification of Medical Documents. ICIMTH 2023: 1-4 - 2022
- [j8]Benjamin Hoffmann
An empirical evaluation of a novel domain-specific language - modelling vehicle routing problems with Athos. Empir. Softw. Eng. 27(7): 180 (2022) - [j7]Michael Guckert, Kristina Milanovic, Jennifer Hannig, David Simon, Tamara Wettengl, Daniel Evers, Arnd Kleyer
The Disruption of Trust in the Digital Transformation Leading to Health 4.0. Frontiers Digit. Health 4: 815573 (2022) - [j6]Johannes Nguyen
Modelling the Impact of Individual Preferences on Traffic Policies. SN Comput. Sci. 3(5): 365 (2022) - [c31]Daniel Bruneß
An Ontology-based transfer learning method improving classification of medical documents. ICMLA 2022: 407-412 - [c30]Torben Eckwert, Michael Guckert, Gabriele Taentzer:
EvolveDB: a tool for model driven schema evolution. MoDELS (Companion) 2022: 61-65 - [c29]Johannes Nguyen
Multi-Agent Modelling Notation (MAMN): A Multi-layered Graphical Modelling Notation for Agent-Based Simulations. PRIMA 2022: 640-649 - 2021
- [j5]Michael Guckert, Nils Gumpfer, Jennifer Hannig
A conceptual framework for establishing trust in real world intelligent systems. Cogn. Syst. Res. 68: 143-155 (2021) - [c28]Nils Gumpfer
An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models. AIME 2021: 384-388 - [c27]Joshua Prim, Tim Uhlemann, Nils Gumpfer, Dimitri Grün, Sebastian Wegener, Sabrina Krug, Jennifer Hannig, Till Keller, Michael Guckert:
A Data Pipeline for Extraction and Processing of Electrocardiogram Recordings. CinC 2021: 1-4 - [c26]Tim Uhlemann, Joshua Prim, Nils Gumpfer, Dimitri Grün, Sebastian Wegener, Sabrina Krug, Jennifer Hannig
An Ensemble Learning Approach to Detect Cardiac Abnormalities in ECG Data Irrespective of Lead Availability. CinC 2021: 1-4 - [c25]Matthias Bay, Daniel Bruneß
Term Extraction from Medical Documents Using Word Embeddings. CIST 2021: 328-333 - [c24]Johannes Nguyen
Using Semantic Technology To Model Persona For Adaptable Agents. ECMS 2021: 172-178 - [c23]Fabian Kittel, Jannik Enenkel, Michael Guckert, Jana Holznigenkemper, Neil Urquhart:
Optimisation algorithms for parallel machine scheduling problems with setup times. GECCO Companion 2021: 131-132 - [c22]Johannes Nguyen
Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. PAAMS 2021: 163-175 - [c21]Johannes Nguyen
Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour. PAAMS 2021: 363-366 - [i2]Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert:
An Overview of Agent-based Traffic Simulators. CoRR abs/2102.07505 (2021) - [i1]Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, Neil Urquhart:
A Conceptual Framework for Establishing Trust in Real World Intelligent Systems. CoRR abs/2104.05432 (2021) - 2020
- [j4]Dimitri Grün, Felix Rudolph, Nils Gumpfer
Identifying Heart Failure in ECG Data With Artificial Intelligence - A Meta-Analysis. Frontiers Digit. Health 2: 584555 (2020) - [c20]Benjamin Hoffmann, Neil Urquhart, Kevin Chalmers, Michael Guckert:
Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation. Modellierung 2020: 141-156 - [c19]Jannik Geyer, Johannes Nguyen
AGADE Traffic 2.0 - A Knowledge-Based Approach for Multi-agent Traffic Simulations. PAAMS 2020: 417-420 - [c18]Jan Linus Steuler, Markus Beck, Benjamin N. Passow, Michael Guckert:
Optimizing the Energy Consumption of Neural Networks. SSCI 2020: 2312-2319
2010 – 2019
- 2019
- [c17]Benjamin Hoffmann, Kevin Chalmers, Neil Urquhart, Michael Guckert:
Athos - A Model Driven Approach to Describe and Solve Optimisation Problems: An Application to the Vehicle Routing Problem with Time Windows. RWDSL@CGO 2019: 3:1-3:10 - [c16]Benjamin Hoffmann, Michael Guckert, Kevin Chalmers, Neil Urquhart:
Simulating Dynamic Vehicle Routing Problems With Athos. ECMS 2019: 296-302 - [c15]Neil Urquhart, Michael Guckert, Simon T. Powers:
Increasing trust in meta-heuristics by using MAP-elites. GECCO (Companion) 2019: 1345-1348 - 2018
- [j3]Steffen Vaupel
Model-driven development of mobile applications for Android and iOS supporting role-based app variability. Softw. Syst. Model. 17(1): 35-63 (2018) - [j2]Peter Andras
Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE Technol. Soc. Mag. 37(4): 76-83 (2018) - [c14]Benjamin Hoffmann, Michael Guckert, Thomas Farrenkopf, Kevin Chalmers, Neil Urquhart:
A Domain-Specific Language For Routing Problems. ECMS 2018: 262-268 - [c13]Johannes Nguyen, Jannik Geyer, Thomas Farrenkopf, Michael Guckert:
Aided OWL Notation (AOWLN): Conceptual Modelling and Visualisation of Advanced SWRL Rules. KEOD 2018: 173-180 - [c12]Jannik Geyer, Johannes Nguyen, Thomas Farrenkopf, Michael Guckert:
Single Rule Evaluation (SRE): Computational Algorithmic Debugging for Complex SWRL Rules. KEOD 2018: 189-196 - [c11]David Lenz, Christian Schulze, Michael Guckert:
Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings. ICANN (2) 2018: 337-348 - [c10]Benjamin Hoffmann, Kevin Chalmers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert:
Towards Reducing Complexity of Multi-agent Simulations by Applying Model-Driven Techniques. PAAMS 2018: 187-199 - [c9]Benjamin Hoffmann, Kevin Chalmers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert:
ATHOS - A Domain-Specific Language for Multi-agent Simulations. PAAMS 2018: 322-325 - 2017
- [c8]Serge Rotärmel, Michael Guckert, Thomas Farrenkopf, Neil Urquhart:
AGADE-TRAFFIC - Multi-agent Simulations in Geographical Networks. PAAMS 2017: 355-358 - 2016
- [j1]Thomas Farrenkopf, Michael Guckert, Neil Urquhart, Simon Wells:
Ontology Based Business Simulations. J. Artif. Soc. Soc. Simul. 19(4) (2016) - [c7]Thomas Farrenkopf, Michael Guckert, Neil Urquhart, Simon Wells:
Demo Paper: AGADE - Scalability of Ontology Based Agent Simulations. PAAMS 2016: 256-259 - [c6]Steffen Vaupel, Gabriele Taentzer, René Gerlach, Michael Guckert:
Model-driven development of platform-independent mobile applications supporting role-based app variability. Software Engineering 2016: 99-100 - 2015
- [c5]Thomas Farrenkopf, Michael Guckert, Neil Urquhart:
AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour. PAAMS 2015: 93-106 - [c4]Thomas Farrenkopf, Michael Guckert, Neil Urquhart:
Demo Paper: AGADE - Using Communities of Agents to Provide Realistic Feedback in Business Simulations. PAAMS 2015: 271-274 - 2014
- [c3]Thomas Farrenkopf, Michael Guckert, Benjamin Hoffmann, Neil Urquhart:
AGADE - How Individual Guidance Leads to Group Behaviour and How This Can Be Simulated. MATES 2014: 234-250 - [c2]Steffen Vaupel
Model-Driven Development of Mobile Applications Allowing Role-Driven Variants. MoDELS 2014: 1-17
2000 – 2009
- 2008
- [c1]Michael Guckert, René Gerlach:
Relational Model Driven Application Design. SIGSAND-EUROPE 2008: 71-73
Coauthor Index
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