Mitchell Joblin

According to our database, Mitchell Joblin authored at least 27 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automatic Core-Developer Identification on GitHub: A Validation Study.

Thomas Bock, Nils Alznauer, Mitchell Joblin, Sven Apel

ACM Trans. Softw. Eng. Methodol., November, 2023

Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling.

Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel

Autom. Softw. Eng., November, 2023

Hierarchical and Hybrid Organizational Structures in Open-source Software Projects: A Longitudinal Study.

Mitchell Joblin, Barbara Eckl, Thomas Bock, Angelika Schmid, Janet Siegmund, Sven Apel

ACM Trans. Softw. Eng. Methodol., July, 2023

Combining Sub-Symbolic and Symbolic Methods for Explainability.

Anna Himmelhuber, Stephan Grimm, Mitchell Joblin, Sonja Zillner, Thomas A. Runkler

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

2022

In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study.

Wolfgang Mauerer, Mitchell Joblin, Damian A. Tamburri, Carlos V. Paradis, Rick Kazman, Sven Apel

IEEE Trans. Software Eng., 2022

How Do Successful and Failed Projects Differ? A Socio-Technical Analysis.

Mitchell Joblin, Sven Apel

ACM Trans. Softw. Eng. Methodol., 2022

Task-driven knowledge graph filtering improves prioritizing drugs for repurposing.

Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt

BMC Bioinform., 2022

Synchronous development in open-source projects: A higher-level perspective.

Thomas Bock, Claus Hunsen, Mitchell Joblin, Sven Apel

Autom. Softw. Eng., 2022

On Calibration of Graph Neural Networks for Node Classification.

Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 2022

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs.

Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study.

Wolfgang Mauerer, Mitchell Joblin, Damian Andrew Tamburri, Carlos V. Paradis, Rick Kazman, Sven Apel

Dataset, May, 2021

Combining Sub-symbolic and Symbolic Methods for Explainability.

Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler

Proceedings of the Rules and Reasoning - 5th International Joint Conference, 2021

Demystifying Graph Neural Network Explanations.

Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

A New Concept for Explaining Graph Neural Networks.

Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler

Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining.

Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs.

Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp

Proceedings of the Semantic Web - 18th International Conference, 2021

Generating Table Vector Representations.

Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.

Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing.

Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp

CoRR, 2020

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

CoRR, 2020

Reasoning on Knowledge Graphs with Debate Dynamics.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context.

Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp

Proceedings of the Semantic Web - 16th International Conference, 2019

2017

Structural and Evolutionary Analysis of Developer Networks.

Mitchell Joblin

PhD thesis, 2017

Evolutionary trends of developer coordination: a network approach.

Mitchell Joblin, Sven Apel, Wolfgang Mauerer

Empir. Softw. Eng., 2017

Classifying developers into core and peripheral: an empirical study on count and network metrics.

Mitchell Joblin, Sven Apel, Claus Hunsen, Wolfgang Mauerer

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

An Interactive Survey Application for Validating Social Network Analysis Techniques.

Mitchell Joblin, Wolfgang Mauerer

R J., 2016

2015

From Developer Networks to Verified Communities: A Fine-Grained Approach.

Mitchell Joblin, Wolfgang Mauerer, Sven Apel, Janet Siegmund, Dirk Riehle

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015