Mitchell Joblin

41 papers A* 4A 1B 4C 2Journal 25Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Is perceived gender related to contributions and standing in open-source software projects?
Empir. Softw. Eng.
Christian Hechtl, Mitchell Joblin, Sven Apel
2025 C conf
Mining Domain-Specific Edit Operations from Model Repositories with Applications to Semantic Lifting of Model Differences and Change Profiling.
Software Engineering
Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel
2025 J jnl
Prioritizing Test Gaps by Risk in Industrial Practice: An Automated Approach and Multimethod Study.
IEEE Trans. Software Eng.
Roman Haas, Michael Sailer, Mitchell Joblin, Elmar Juergens, Sven Apel
2023 J jnl
Automatic Core-Developer Identification on GitHub: A Validation Study.
ACM Trans. Softw. Eng. Methodol.
Thomas Bock, Nils Alznauer, Mitchell Joblin, Sven Apel
2023 — ch.
Combining Sub-Symbolic and Symbolic Methods for Explainability.
Compendium of Neurosymbolic Artificial Intelligence
Anna Himmelhuber, Stephan Grimm, Mitchell Joblin, Sonja Zillner, Thomas A. Runkler
2023 J jnl
Hierarchical and Hybrid Organizational Structures in Open-source Software Projects: A Longitudinal Study.
ACM Trans. Softw. Eng. Methodol.
Mitchell Joblin, Barbara Eckl, Thomas Bock, Angelika Schmid, Janet Siegmund, Sven Apel
2023 J jnl
Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling.
Autom. Softw. Eng.
Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel
2022 J jnl
How Do Successful and Failed Projects Differ? A Socio-Technical Analysis.
ACM Trans. Softw. Eng. Methodol.
Mitchell Joblin, Sven Apel
2022 J jnl
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study.
IEEE Trans. Software Eng.
Wolfgang Mauerer, Mitchell Joblin, Damian A. Tamburri, Carlos V. Paradis, Rick Kazman, Sven Apel
2022 B conf
On Calibration of Graph Neural Networks for Node Classification.
IJCNN
Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
2022 J jnl
On Calibration of Graph Neural Networks for Node Classification.
CoRR
Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
2022 J jnl
Synchronous development in open-source projects: A higher-level perspective.
Autom. Softw. Eng.
Thomas Bock, Claus Hunsen, Mitchell Joblin, Sven Apel
2022 A* conf
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs.
AAAI
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
2022 J jnl
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing.
BMC Bioinform.
Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt
2021 C conf
A New Concept for Explaining Graph Neural Networks.
NeSy
Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler
2021 J jnl
Combining Sub-Symbolic and Symbolic Methods for Explainability.
CoRR
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 B conf
Combining Sub-symbolic and Symbolic Methods for Explainability.
RuleML+RR
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 — conf
Demystifying Graph Neural Network Explanations.
PKDD/ECML Workshops (1)
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 J jnl
Demystifying Graph Neural Network Explanations.
CoRR
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 — conf
Generating Table Vector Representations.
DL4KG@ISWC
Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2021 J jnl
Generating Table Vector Representations.
CoRR
Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2021 J jnl
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study.
CoRR
Wolfgang Mauerer, Mitchell Joblin, Damian A. Tamburri, Carlos V. Paradis, Rick Kazman, Sven Apel
2021 A* conf
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining.
ASE
Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel
2021 J jnl
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining.
CoRR
Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel
2021 J jnl
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs.
CoRR
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
2021 B conf
Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs.
ESWC
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
2021 A conf
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.
CIKM
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
2021 J jnl
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.
CoRR
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
2021 J jnl
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs.
CoRR
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
2020 J jnl
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs.
CoRR
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2020 J jnl
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing.
CoRR
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp
2020 A* conf
Reasoning on Knowledge Graphs with Debate Dynamics.
AAAI
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2020 J jnl
Reasoning on Knowledge Graphs with Debate Dynamics.
CoRR
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2019 B conf
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context.
ESWC
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp
2017 A* conf
Classifying developers into core and peripheral: an empirical study on count and network metrics.
ICSE
Mitchell Joblin, Sven Apel, Claus Hunsen, Wolfgang Mauerer
2017 J jnl
Evolutionary trends of developer coordination: a network approach.
Empir. Softw. Eng.
Mitchell Joblin, Sven Apel, Wolfgang Mauerer
2017 — —
Structural and Evolutionary Analysis of Developer Networks.
Mitchell Joblin
2016 J jnl
An Interactive Survey Application for Validating Social Network Analysis Techniques.
R J.
Mitchell Joblin, Wolfgang Mauerer
2016 J jnl
Classifying Developers into Core and Peripheral: An Empirical Study on Count and Network Metrics.
CoRR
Mitchell Joblin, Sven Apel, Claus Hunsen, Wolfgang Mauerer
2015 J jnl
Evolutionary Trends of Developer Coordination: A Network Approach.
CoRR
Mitchell Joblin, Sven Apel, Wolfgang Mauerer
2015 — conf
From Developer Networks to Verified Communities: A Fine-Grained Approach.
ICSE (1)
Mitchell Joblin, Wolfgang Mauerer, Sven Apel, Janet Siegmund, Dirk Riehle