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Mitchell Joblin
Person information
- affiliation: Siemens Corporate Technology, Munich, Germany
- affiliation: Siemens AG, Erlangen, Germany
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2020 – today
- 2023
- [j9]Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel
:
Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling. Autom. Softw. Eng. 30(2): 17 (2023) - [j8]Mitchell Joblin
Hierarchical and Hybrid Organizational Structures in Open-source Software Projects: A Longitudinal Study. ACM Trans. Softw. Eng. Methodol. 32(4): 86:1-86:29 (2023) - [j7]Thomas Bock
Automatic Core-Developer Identification on GitHub: A Validation Study. ACM Trans. Softw. Eng. Methodol. 32(6): 138:1-138:29 (2023) - [p1]Anna Himmelhuber, Stephan Grimm, Mitchell Joblin, Sonja Zillner, Thomas A. Runkler:
Combining Sub-Symbolic and Symbolic Methods for Explainability. Compendium of Neurosymbolic Artificial Intelligence 2023: 559-576 - 2022
- [j6]Thomas Bock
Synchronous development in open-source projects: A higher-level perspective. Autom. Softw. Eng. 29(1): 3 (2022) - [j5]Florin Ratajczak
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing. BMC Bioinform. 23(1): 84 (2022) - [j4]Mitchell Joblin
How Do Successful and Failed Projects Differ? A Socio-Technical Analysis. ACM Trans. Softw. Eng. Methodol. 31(4): 67:1-67:24 (2022) - [j3]Wolfgang Mauerer
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. IEEE Trans. Software Eng. 48(8): 3159-3184 (2022) - [c13]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI 2022: 4120-4127 - [c12]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. IJCNN 2022: 1-8 - [i14]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. CoRR abs/2206.01570 (2022) - 2021
- [c11]Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin:
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. CIKM 2021: 1538-1547 - [c10]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. DL4KG@ISWC 2021 - [c9]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. ESWC 2021: 375-391 - [c8]Christof Tinnes
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. ASE 2021: 930-942 - [c7]Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler:
A New Concept for Explaining Graph Neural Networks. NeSy 2021: 1-5 - [c6]Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. PKDD/ECML Workshops (1) 2021: 67-75 - [c5]Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Combining Sub-symbolic and Symbolic Methods for Explainability. RuleML+RR 2021: 172-187 - [d1]Wolfgang Mauerer
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. Zenodo, 2021 - [i13]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR abs/2103.10367 (2021) - [i12]Wolfgang Mauerer, Mitchell Joblin, Damian A. Tamburri, Carlos V. Paradis, Rick Kazman, Sven Apel:
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. CoRR abs/2105.08198 (2021) - [i11]Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel:
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. CoRR abs/2108.01001 (2021) - [i10]Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin:
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. CoRR abs/2109.03604 (2021) - [i9]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. CoRR abs/2110.15132 (2021) - [i8]Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. CoRR abs/2111.12984 (2021) - [i7]Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Combining Sub-Symbolic and Symbolic Methods for Explainability. CoRR abs/2112.01844 (2021) - [i6]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR abs/2112.08025 (2021) - 2020
- [c4]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI 2020: 4123-4131 - [i5]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR abs/2001.00461 (2020) - [i4]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. CoRR abs/2001.03436 (2020) - [i3]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp:
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR abs/2007.05292 (2020)
2010 – 2019
- 2019
- [c3]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp:
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. ESWC 2019: 179-193 - 2017
- [b1]Mitchell Joblin:
Structural and Evolutionary Analysis of Developer Networks. University of Passau, Germany, 2017 - [j2]Mitchell Joblin, Sven Apel
Evolutionary trends of developer coordination: a network approach. Empir. Softw. Eng. 22(4): 2050-2094 (2017) - [c2]Mitchell Joblin, Sven Apel
Classifying developers into core and peripheral: an empirical study on count and network metrics. ICSE 2017: 164-174 - 2016
- [j1]Mitchell Joblin, Wolfgang Mauerer:
An Interactive Survey Application for Validating Social Network Analysis Techniques. R J. 8(1): 149 (2016) - [i2]Mitchell Joblin, Sven Apel, Claus Hunsen, Wolfgang Mauerer:
Classifying Developers into Core and Peripheral: An Empirical Study on Count and Network Metrics. CoRR abs/1604.00830 (2016) - 2015
- [c1]Mitchell Joblin, Wolfgang Mauerer, Sven Apel
From Developer Networks to Verified Communities: A Fine-Grained Approach. ICSE (1) 2015: 563-573 - [i1]Mitchell Joblin, Sven Apel, Wolfgang Mauerer:
Evolutionary Trends of Developer Coordination: A Network Approach. CoRR abs/1510.06988 (2015)
Coauthor Index
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last updated on 2024-10-13 17:59 CEST by the dblp team
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