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Karl Meinke
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2020 – today
- 2024
- [j11]Tian Yuan
, Xuan Zhao, Rui Liu
, Qiang Yu
, Xichan Zhu, Shu Wang
, Karl Meinke
:
Driving Intention Recognition and Speed Prediction at Complex Urban Intersections Considering Traffic Environment. IEEE Trans. Intell. Transp. Syst. 25(5): 4470-4488 (2024) - 2023
- [c37]Tai Hasegawa, Helena Arvidsson
, Nikolce Tudzarovski
, Karl Meinke
, Rachael V. Sugars
, Aravind Ashok Nair
:
Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction. IPMI 2023: 265-277 - 2022
- [j10]Aravind Ashok Nair, Helena Arvidsson, Jorge E. Gatica V., Nikolce Tudzarovski, Karl Meinke, Rachael V. Sugars
:
A graph neural network framework for mapping histological topology in oral mucosal tissue. BMC Bioinform. 23(1): 506 (2022) - [e7]Laura Kovács
, Karl Meinke
:
Tests and Proofs - 16th International Conference, TAP 2022, Held as Part of STAF 2022, Nantes, France, July 5, 2022, Proceedings. Lecture Notes in Computer Science 13361, Springer 2022, ISBN 978-3-031-09826-0 [contents] - 2021
- [c36]Karl Meinke:
Active Machine Learning to Test Autonomous Driving. ICST Workshops 2021: 286 - [c35]Karl Meinke, Hojat Khosrowjerdi:
Use Case Testing: A Constrained Active Machine Learning Approach. TAP@STAF 2021: 3-21 - [i7]Karl Meinke:
Code Coverage and Test Automation: State of the Art. CoRR abs/2108.11723 (2021) - 2020
- [c34]Aravind Ashok Nair
, Avijit Roy, Karl Meinke:
funcGNN: A Graph Neural Network Approach to Program Similarity. ESEM 2020: 10:1-10:11 - [c33]Hojat Khosrowjerdi, Hamed Nemati
, Karl Meinke:
Spatio-Temporal Model-Checking of Cyber-Physical Systems Using Graph Queries. TAP@STAF 2020: 59-79 - [i6]Aravind Ashok Nair, Avijit Roy, Karl Meinke:
funcGNN: A Graph Neural Network Approach to Program Similarity. CoRR abs/2007.13239 (2020)
2010 – 2019
- 2019
- [c32]Aravind Ashok Nair
, Karl Meinke, Sigrid Eldh
:
Leveraging mutants for automatic prediction of metamorphic relations using machine learning. MaLTeSQuE@ESEC/SIGSOFT FSE 2019: 1-6 - 2018
- [c31]Amel Bennaceur, Karl Meinke:
Machine Learning for Software Analysis: Models, Methods, and Applications. Machine Learning for Dynamic Software Analysis 2018: 3-49 - [c30]Karl Meinke:
Learning-Based Testing: Recent Progress and Future Prospects. Machine Learning for Dynamic Software Analysis 2018: 53-73 - [c29]Karl Meinke, Amel Bennaceur
:
Machine learning for software engineering: models, methods, and applications. ICSE (Companion Volume) 2018: 548-549 - [c28]Hojat Khosrowjerdi, Karl Meinke, Andreas Rasmusson:
Virtualized-Fault Injection Testing: A Machine Learning Approach. ICST 2018: 297-308 - [c27]Carl Bergenhem, Karl Meinke, Fabian Ström:
Quantitative Safety Analysis of a Coordinated Emergency Brake Protocol for Vehicle Platoons. ISoLA (3) 2018: 386-404 - [c26]Hojat Khosrowjerdi, Karl Meinke:
Learning-based testing for autonomous systems using spatial and temporal requirements. MASES@ASE 2018: 6-15 - [e6]Amel Bennaceur, Reiner Hähnle, Karl Meinke:
Machine Learning for Dynamic Software Analysis: Potentials and Limits - International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers. Lecture Notes in Computer Science 11026, Springer 2018, ISBN 978-3-319-96561-1 [contents] - 2017
- [c25]Karl Meinke:
Learning-Based Testing of Cyber-Physical Systems-of-Systems: A Platooning Study. EPEW 2017: 135-151 - [c24]Hojat Khosrowjerdi
, Karl Meinke, Andreas Rasmusson:
Learning-Based Testing for Safety Critical Automotive Applications. IMBSA 2017: 197-211 - 2016
- [c23]Falk Howar, Karl Meinke, Andreas Rausch:
Learning Systems: Machine-Learning in Software Products and Learning-Based Analysis of Software Systems - Special Track at ISoLA 2016. ISoLA (2) 2016: 651-654 - [i5]Amel Bennaceur, Dimitra Giannakopoulou, Reiner Hähnle, Karl Meinke:
Machine Learning for Dynamic Software Analysis: Potentials and Limits (Dagstuhl Seminar 16172). Dagstuhl Reports 6(4): 161-173 (2016) - 2015
- [j9]Peter Y. H. Wong, Richard Bubel, Frank S. de Boer, Miguel Gómez-Zamalloa
, Stijn de Gouw
, Reiner Hähnle
, Karl Meinke, Muddassar Azam Sindhu:
Testing abstract behavioral specifications. Int. J. Softw. Tools Technol. Transf. 17(1): 107-119 (2015) - [c22]Karl Meinke, Peter Nycander:
Learning-Based Testing of Distributed Microservice Architectures: Correctness and Fault Injection. SEFM Workshops 2015: 3-10 - 2013
- [c21]Karl Meinke, Muddassar A. Sindhu:
LBTest: A Learning-Based Testing Tool for Reactive Systems. ICST 2013: 447-454 - [c20]Lei Feng
, Simon Lundmark, Karl Meinke, Fei Niu, Muddassar A. Sindhu, Peter Y. H. Wong:
Case Studies in Learning-Based Testing. ICTSS 2013: 164-179 - 2012
- [c19]Karl Meinke, Neil Walkinshaw
:
Model-Based Testing and Model Inference. ISoLA (1) 2012: 440-443 - [c18]Karl Meinke, Fei Niu:
An Incremental Learning Algorithm for Extended Mealy Automata. ISoLA (1) 2012: 488-504 - [i4]Karl Meinke, Muddassar A. Sindhu:
An n log n Alogrithm for Deterministic Kripke Structure Minimization. CoRR abs/1205.5928 (2012) - [i3]Muddassar A. Sindhu, Karl Meinke:
IDS: An Incremental Learning Algorithm for Finite Automata. CoRR abs/1206.2691 (2012) - 2011
- [c17]Shaolin Hu, Xiaofeng Wang, Karl Meinke, Huajiang Ouyang:
Outlier-Tolerant Fitting and Online Diagnosis of Outliers in Dynamic Process Sampling Data Series. AICI (3) 2011: 195-203 - [c16]Karl Meinke, Fei Niu, Muddassar A. Sindhu:
Learning-Based Software Testing: A Tutorial. ISoLA Workshops 2011: 200-219 - [c15]Karl Meinke, Fei Niu:
Learning-Based Testing for Reactive Systems Using Term Rewriting Technology. ICTSS 2011: 97-114 - [c14]Karl Meinke, Muddassar A. Sindhu:
Incremental Learning-Based Testing for Reactive Systems. TAP@TOOLS 2011: 134-151 - 2010
- [c13]Karl Meinke:
CGE: A Sequential Learning Algorithm for Mealy Automata. ICGI 2010: 148-162 - [c12]Karl Meinke, Fei Niu:
A Learning-Based Approach to Unit Testing of Numerical Software. ICTSS 2010: 221-235
2000 – 2009
- 2007
- [j8]Shaolin Hu, Karl Meinke, Rushan Chen, Ouyang Huajiang:
Iterative Estimators of Parameters in Linear Models with Partially Variant Coefficients. Int. J. Appl. Math. Comput. Sci. 17(2): 179-187 (2007) - 2006
- [c11]Karl Meinke:
A Stochastic Theory of Black-Box Software Testing. Essays Dedicated to Joseph A. Goguen 2006: 578-595 - 2004
- [c10]Karl Meinke:
Automated black-box testing of functional correctness using function approximation. ISSTA 2004: 143-153 - 2003
- [j7]Karl Meinke:
Proof theory of higher-order equations: conservativity, normal forms and term rewriting. J. Comput. Syst. Sci. 67(1): 127-173 (2003) - 2001
- [j6]Karl Meinke, L. J. Steggles:
Correctness of dataflow and systolic algorithms using algebras of streams. Acta Informatica 38(1): 45-88 (2001) - 2000
- [c9]Karl Meinke:
Validation and Test Case Generations for MSCs Using A Propositional SAT Solver. SAM 2000: 203-
1990 – 1999
- 1998
- [e5]Catuscia Palamidessi, Hugh Glaser, Karl Meinke:
Principles of Declarative Programming, 10th International Symposium, PLILP'98 Held Jointly with the 7th International Conference, ALP'98, Pisa, Italy, September 16-18, 1998, Proceedings. Lecture Notes in Computer Science 1490, Springer 1998, ISBN 3-540-65012-1 [contents] - 1997
- [j5]Karl Meinke:
A Completeness Theorem for the Expressive Power of Higher-Order Algebraic Specifications. J. Comput. Syst. Sci. 54(3): 502-519 (1997) - [e4]Michael Hanus
, Jan Heering, Karl Meinke:
Algebraic and Logic Programming, 6th International Joint Conference, ALP '97 - HOA '97, Southampton, UK, September 3-5, 1997, Proceedings. Lecture Notes in Computer Science 1298, Springer 1997, ISBN 3-540-63459-2 [contents] - 1996
- [j4]Piotr Kosiuczenko, Karl Meinke:
On the Power of Higher-Order Algebraic Specification Methods. Inf. Comput. 124(1): 85-101 (1996) - [j3]Karl Meinke:
Topological Methods for Algebraic Specification. Theor. Comput. Sci. 166(1&2): 263-290 (1996) - [e3]Gilles Dowek, Jan Heering, Karl Meinke, Bernhard Möller:
Higher-Order Algebra, Logic, and Term Rewriting, Second International Workshop, HOA '95, Paderborn, Germany, September 21-22, 1995, Selected Papers. Lecture Notes in Computer Science 1074, Springer 1996, ISBN 3-540-61254-8 [contents] - 1995
- [c8]Karl Meinke:
Higher-Order Equational Logic for Specification, Simulation and Testing. HOA 1995: 124-143 - 1994
- [j2]Karl Meinke:
A Recursive Second Order Initial Algebra Specification of Primitive Recursion. Acta Informatica 31(4): 329-340 (1994) - [c7]Karl Meinke:
Topological Methods for Algebraic Specification. COMPASS/ADT 1994: 368-388 - [e2]Egon Börger, Yuri Gurevich, Karl Meinke:
Computer Science Logic, 7th Workshop, CSL '93, Swansea, United Kingdom, September 13-17, 1993, Selected Papers. Lecture Notes in Computer Science 832, Springer 1994, ISBN 3-540-58277-0 [contents] - [e1]Jan Heering, Karl Meinke, Bernhard Möller, Tobias Nipkow:
Higher-Order Algebra, Logic, and Term Rewriting, First International Workshop, HOA '93, Amsterdam, The Netherlands, September 23-24, 1993, Selected Papers. Lecture Notes in Computer Science 816, Springer 1994, ISBN 3-540-58233-9 [contents] - 1993
- [c6]B. M. Hearn, Karl Meinke:
ATLAS: A Typed Language for Algebraic Specification. HOA 1993: 146-168 - [c5]Karl Meinke, L. J. Steggles:
Specification and Verification in Higher-Order Algebra: A Case Study of Convolution. HOA 1993: 189-222 - [i2]B. M. Hearn, Karl Meinke:
ATLAS: a typed language for algebraic specification. Forschungsberichte, TU Munich TUM I 9330: 1-21 (1993) - [i1]Karl Meinke:
Topological methods for algebraic specification. Forschungsberichte, TU Munich TUM I 9331: 1-32 (1993) - 1992
- [j1]Karl Meinke:
Universal Algebra in Higher Types. Theor. Comput. Sci. 100(2): 385-417 (1992) - [c4]Karl Meinke:
Algebraic Semantics of Rewriting Terms and Types. CTRS 1992: 1-20 - 1991
- [c3]Karl Meinke:
Equational Specification of Abstract Types and Combinators. CSL 1991: 257-271 - 1990
- [c2]Karl Meinke:
Universal Algebra in Higher Types. ADT 1990: 185-203
1980 – 1989
- 1988
- [c1]Karl Meinke, John V. Tucker:
The Scope and Limits of Synchronous Concurrent Computation. Concurrency 1988: 163-180
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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