Anwendung des V-Modells XT - Stand und Erfahrungen aus der Pilotierungsphase. - Marco Kuhrmann; Dirk Niebuhr; Christian Bartelt (GI Jahrestagung (2), 2005)

Dynamic integration of heterogeneous mobile devices. - Christian Bartelt; Thomas Fischer 003; Dirk Niebuhr; Andreas Rausch 001; Franz Seidl; Marcus Trapp (ACM SIGSOFT Softw. Eng. Notes, 2005)

Modellorientiertes Variantenmanagement. - Christian Bartelt; Sebastian Herold (Modellierung, 2006)

Consistence preserving model merge in collaborative development processes. - Christian Bartelt (CVSM@ICSE, 2008)

Paradigmen zur Variabilitätsbeschreibung von Vorgehensmodellen. - Christian Bartelt; Edward Fischer; Thomas Ternité (GI Jahrestagung, 2009)

A Model Repository for Collaborative Modeling with the Jazz Development Platform. - Christian Bartelt; Georg Molter; Tim Schumann (HICSS, 2009)

Orchestration of Global Software Engineering Projects - Position Paper. - Christian Bartelt; Manfred Broy; Christoph Herrmann 003; Eric Knauss; Marco Kuhrmann; Andreas Rausch 001; Bernhard Rumpe; Kurt Schneider (ICGSE, 2009)

Technology Support for Collaborative Inconsistency Management in Model Driven Engineering. - Christian Bartelt; Björn Schindler (HICSS, 2010)

Conflict Analysis at Collaborative Development of Domain Specific Models using Description Logics. - Christian Bartelt (HICSS, 2011)

Kollaborative Modellierung im Software Engineering. - Christian Bartelt (2011)

Werkzeugunterstützung bei kooperativer Modellierung und Variantenmanagement von Motorsteuergeräte-Funktionen. - Marc Janßen; Christian Bartelt; Andreas Rausch 001 (GI-Jahrestagung, 2012)

From Software Systems to Complex Software Ecosystems: Model- and Constraint-Based Engineering of Ecosystems. - Andreas Rausch 001; Christian Bartelt; Sebastian Herold; Holger Klus; Dirk Niebuhr (Perspectives on the Future of Software Engineering, 2013)

Collaborative Creativity: From Hand Drawn Sketches to Formal Domain Specific Models and Back Again. - Christian Bartelt; Martin Vogel; Tim Warnecke (MoRoCo@ECSCW, 2013)

A Software Architecture to Synchronize Interactivity of Concurrent Simulations in Systems Engineering. - Christian Bartelt; Volker Böß; Jan Brüning; Andreas Rausch 001; Berend Denkena; Jean Paul Tatou (CE, 2013)

Scribbler: From Collaborative Sketching to Formal Domain Specific Models and Back Again. - Martin Vogel; Tim Warnecke; Christian Bartelt (MoDELS (Demos/Posters/StudentResearch), 2013)

Towards a Decentralized Middleware for Composition of Resource-limited Components to Realize Distributed Applications. - Christian Bartelt; Benjamin Fischer; Andreas Rausch 001 (PECCS, 2013)

Scribbler - Drawing Models in a Creative and Collaborative Environment: from Hand-Drawn Sketches to Domain Specific Models. - Martin Vogel; Tim Warnecke; Christian Bartelt; Andreas Rausch 001 (AUIC, 2014)

Speed up of co-simulation by a heuristic time warp mechanism. - Christian Bartelt; Karina Rehfeldt; Stefan H. A. Wittek (SIMULTECH, 2014)

Orchestration of Global Software Engineering Projects. - Christian Bartelt; Manfred Broy; Christoph Herrmann 003; Eric Knauss; Marco Kuhrmann; Andreas Rausch 001; Bernhard Rumpe; Kurt Schneider (CoRR, 2014)

Quo vadis cyber-physical systems: research areas of cyber-physical ecosystems: a position paper. - Christian Bartelt; Andreas Rausch 001; Karina Rehfeldt (CTSE@SIGSOFT FSE, 2015)

Methodology for an Ontology-Driven Product Configuration Process. - Sandra Bergner; Christian Bartelt; Klaus Bergner; Andreas Rausch 001 (MKWI, 2016)

Knowledge-Driven Architecture Composition: Case-Based Formalization of Integration Knowledge to Enable Automated Component Coupling. - Fabian Burzlaff; Christian Bartelt (ICSA Workshops, 2017)

Next Place Prediction: A Systematic Literature Review. - Christian Schreckenberger; Simon Beckmann; Christian Bartelt (PredictGIS@SIGSPATIAL, 2018)

I4.0-Device Integration: A Qualitative Analysis of Methods and Technologies Utilized by System Integrators: Implications for Enginering Future Industrial Internet of Things System. - Fabian Burzlaff; Christian Bartelt (ICSA Companion, 2018)

Next Steps in Knowledge-driven Architecture Composition. - Fabian Burzlaff; Christian Bartelt; Heiner Stuckenschmidt (LWDA, 2018)

Executing Model-based Software Development for Embedded I4.0 Devices Properly. - Fabian Burzlaff; Christian Bartelt; Steffen Jacobs (Modellierung (Workshops), 2018)

A Mapping Language for IoT Device Descriptions. - Fabian Burzlaff; Maurice Ackel; Christian Bartelt (COMPSAC (2), 2019)

Enhancing a Crowd-based Delivery Network with Mobility Predictions. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (PredictGIS@SIGSPATIAL, 2019)

A Conceptual Architecture for Enabling Future Self-Adaptive Service Systems. - Fabian Burzlaff; Christian Bartelt (HICSS, 2019)

iDropout: Leveraging Deep Taylor Decomposition for the Robustness of Deep Neural Networks. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (OTM Conferences, 2019)

Robust Decision Tree Induction from Unreliable Data Sources. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (STAIRS@ECAI, 2020)

MergePoint: A Graphical Web-App for Merging HTTP-Endpoints and IoT-Platform Models. - Fabian Burzlaff; Benedikt Bongarth; Sven Grottker; Johannes Hammen; Christian Bartelt (HICSS, 2020)

Restructuring of Hoeffding Trees for Trapezoidal Data Streams. - Christian Schreckenberger; Tim Glockner; Heiner Stuckenschmidt; Christian Bartelt (ICDM (Workshops), 2020)

GUI2WiRe: Rapid Wireframing with a Mined and Large-Scale GUI Repository using Natural Language Requirements. - Kristian Kolthoff; Christian Bartelt; Simone Paolo Ponzetto (ASE, 2020)

xRAI: Explainable Representations through AI. - Christian Bartelt; Sascha Marton; Heiner Stuckenschmidt (CoRR, 2020)

Towards Trace-Graphs for Data-driven Test Case Mining in the Domain of Automated Driving. - Noah Metzger; Lars Hoffmann; Christian Bartelt; Heiner Stuckenschmidt; Michael Wommer; Maria Belen Bescos del Castillo (AITest, 2021)

Knowledge Injection via ML-based Initialization of Neural Networks. - Lars Hoffmann; Christian Bartelt; Heiner Stuckenschmidt (CIKM Workshops, 2021)

Gabble: Managing Integration Knowledge in IoT-Systems with Logical Reasoning (short paper). - Fabian Burzlaff; Maurice Ackel; Christian Bartelt (ECSA (Companion), 2021)

Applying Knowledge-Driven Architecture Composition with Gabble. - Fabian Burzlaff; Maurice Ackel; Christian Bartelt (ECSA (Tracks and Workshops), 2021)

Governing Black-Box Agents in Competitive Multi-Agent Systems. - Michael Pernpeintner; Christian Bartelt; Heiner Stuckenschmidt (EUMAS, 2021)

Knowledge-Driven Architecture Composition: Assisting the System Integrator to Reuse Integration Knowledge. - Fabian Burzlaff; Christian Bartelt (ICWE, 2021)

Automated Retrieval of Graphical User Interface Prototypes from Natural Language Requirements. - Kristian Kolthoff; Christian Bartelt; Simone Paolo Ponzetto (NLDB, 2021)

Rendezvous Delivery: Utilizing Autonomous Electric Vehicles to Improve the Efficiency of Last Mile Parcel Delivery in Urban Areas. - Frederik P. Nolte; Nils Wilken; Christian Bartelt (PerCom Workshops, 2021)

Combining Symbolic and Data-Driven Methods for Goal Recognition. - Nils Wilken; Heiner Stuckenschmidt; Christian Bartelt (PerCom Workshops, 2021)

Self-learning Governance of Black-Box Multi-Agent Systems. - Michael Oesterle; Christian Bartelt; Stefan Lüdtke; Heiner Stuckenschmidt (COINE, 2022)

Dynamic Forest for Learning from Data Streams with Varying Feature Spaces. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (CoopIS, 2022)

Exchangeability-Aware Sum-Product Networks. - Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (IJCAI, 2022)

Outlier Explanation via Sum-Product Networks. - Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2022)

Context-Aware Human Activity Recognition in Industrial Processes. - Friedrich Niemann; Stefan Lüdtke; Christian Bartelt; Michael ten Hompel (Sensors, 2022)

Semantic Interoperability Methods for Smart Service Systems: A Survey. - Fabian Burzlaff; Nils Wilken; Christian Bartelt; Heiner Stuckenschmidt (IEEE Trans. Engineering Management, 2022)

Online Random Feature Forests for Learning in Varying Feature Spaces. - Christian Schreckenberger; Yi He 007; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (AAAI, 2023)

Investigating the Importance of Demographic Features for EDM-Predictions. - Lea Cohausz; Andrej Tschalzev; Christian Bartelt; Heiner Stuckenschmidt (EDM, 2023)

A Multidimensional Analysis of Social Biases in Vision Transformers. - Jannik Brinkmann; Paul Swoboda; Christian Bartelt (ICCV, 2023)

Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? - Nils Wilken; Lea Cohausz; Christian Bartelt; Heiner Stuckenschmidt (KI, 2023)

Outlying Aspect Mining via Sum-Product Networks. - Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (PAKDD (1), 2023)

Leveraging Planning Landmarks for Hybrid Online Goal Recognition. - Nils Wilken; Lea Cohausz; Johannes Schaum; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2023)

Learning Decision Trees with Gradient Descent. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2023)

Emergent Software Service Platform and its Application in a Smart Mobility Setting. - Nils Wilken; Christoph Knieke; Eric Nyakam; Andreas Rausch 001; Christian Schindler; Christian Bartelt; Nikolaus Ziebura (CoRR, 2023)

GRANDE: Gradient-Based Decision Tree Ensembles. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2023)

Data-driven prototyping via natural-language-based GUI retrieval. - Kristian Kolthoff; Christian Bartelt; Simone Paolo Ponzetto (Autom. Softw. Eng., 2023)

Correction to: Data-driven prototyping via natural-language-based GUI retrieval. - Kristian Kolthoff; Christian Bartelt; Simone Paolo Ponzetto (Autom. Softw. Eng., 2023)

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (AAAI, 2024)

A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task. - Jannik Brinkmann; Abhay Sheshadri; Victor Levoso; Paul Swoboda; Christian Bartelt (ACL (Findings), 2024)

RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management. - Michael Oesterle; Tim Grams; Christian Bartelt; Heiner Stuckenschmidt (AAMAS, 2024)

Fact Probability Vector Based Goal Recognition. - Nils Wilken; Lea Cohausz; Christian Bartelt; Heiner Stuckenschmidt (ECAI, 2024)

Unsupervised Extraction of Test Scenarios from Time-Series Sensor Data using Trace Graphs. - Jannik Brinkmann; Noah Metzger; Christian Bartelt (HICSS, 2024)

DRAMA at the PettingZoo: Dynamically Restricted Action Spaces for Multi-Agent Reinforcement Learning Frameworks. - Michael Oesterle; Tim Grams; Christian Bartelt (HICSS, 2024)

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (ICLR, 2024)

Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. - Andrej Tschalzev; Paul Nitschke; Lukas Kirchdorfer; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (IJCAI, 2024)

Self-Elicitation of Requirements with Automated GUI Prototyping. - Kristian Kolthoff; Christian Bartelt; Simone Paolo Ponzetto; Kurt Schneider (ASE, 2024)

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data. - Andrej Tschalzev; Sascha Marton; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (NeurIPS, 2024)

Interlinking User Stories and GUI Prototyping: A Semi-Automatic LLM-Based Approach. - Kristian Kolthoff; Felix Kretzer; Christian Bartelt; Alexander Maedche; Simone Paolo Ponzetto (RE, 2024)

Interpreting Outliers in Time Series Data through Decoding Autoencoder. - Patrick Knab; Sascha Marton; Christian Bartelt; Robert Fuder (TempXAI@PKDD/ECML, 2024)

DSEG-LIME - Improving Image Explanation by Hierarchical Data-Driven Segmentation. - Patrick Knab; Sascha Marton; Christian Bartelt (CoRR, 2024)

SYMPOL: Symbolic Tree-Based On-Policy Reinforcement Learning. - Sascha Marton; Tim Grams; Florian Vogt; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2024)

A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs. - Patrick Betz; Nathanael Stelzner; Christian Meilicke; Heiner Stuckenschmidt; Christian Bartelt (CoRR, 2024)

Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation. - Kristian Kolthoff; Felix Kretzer; Lennart Fiebig; Christian Bartelt; Alexander Maedche; Simone Paolo Ponzetto (CoRR, 2024)

Aligning Visual and Semantic Interpretability through Visually Grounded Concept Bottleneck Models. - Patrick Knab; Katharina Prasse; Sascha Marton; Christian Bartelt; Margret Keuper (CoRR, 2024)

Explaining neural networks without access to training data. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Andrej Tschalzev; Heiner Stuckenschmidt (Mach. Learn., 2024)

Closing the Loop between User Stories and GUI Prototypes: An LLM-Based Assistant for Cross-Functional Integration in Software Development. - Felix Kretzer; Kristian Kolthoff; Christian Bartelt; Simone Paolo Ponzetto; Alexander Maedche (CHI, 2025)

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization. - Sascha Marton; Tim Grams; Florian Vogt; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (ICLR, 2025)

GUIDE: LLM-Driven GUI Generation Decomposition for Automated Prototyping. - Kristian Kolthoff; Felix Kretzer; Christian Bartelt; Alexander Maedche; Simone Paolo Ponzetto (ICSE Companion, 2025)

Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages. - Jannik Brinkmann; Chris Wendler; Christian Bartelt; Aaron Mueller (NAACL (Long Papers), 2025)

Disentangling Exploration of Large Language Models by Optimal Exploitation. - Tim Grams; Patrick Betz; Christian Bartelt (CoRR, 2025)

Shedding Light in Task Decomposition in Program Synthesis: The Driving Force of the Synthesizer Model. - Janis Zenkner; Tobias Sesterhenn; Christian Bartelt (CoRR, 2025)

Unreflected Use of Tabular Data Repositories Can Undermine Research Quality. - Andrej Tschalzev; Lennart Purucker; Stefan Lüdtke; Frank Hutter; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2025)

Which LIME should I trust? Concepts, Challenges, and Solutions. - Patrick Knab; Sascha Marton; Udo Schlegel; Christian Bartelt (CoRR, 2025)

Transductively Informed Inductive Program Synthesis. - Janis Zenkner; Tobias Sesterhenn; Christian Bartelt (CoRR, 2025)

A Compute-Matched Re-Evaluation of TroVE on MATH. - Tobias Sesterhenn; Ian Berlot-Attwell; Janis Zenkner; Christian Bartelt (CoRR, 2025)

GUI-ReRank: Enhancing GUI Retrieval with Multi-Modal LLM-based Reranking. - Kristian Kolthoff; Felix Kretzer; Christian Bartelt; Alexander Maedche; Simone Paolo Ponzetto (CoRR, 2025)