From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “engineering methods” 29

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Adaptive Encoding Strategy for Quantum Annealing in Mixed-Variable Engineering Optimization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Fabian Key, Lukas Freinberger, Mayu Muramatsu, Norbert Hosters

0

citations
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design
2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access

Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, +9 more

0

citations
Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dirk Abel

6

citations
ManQala: Game-Inspired Strategies for Quantum State Engineering
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Onur Danaci, Wenlei Zhang, William Djakam, Michaela Amoo, Ryan T. Glasser, Brian T. Kirby, +2 more

0

citations
Towards a Systematic Engineering of Industrial Domain-Specific Language
2021 arXiv (Cornell University) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Rohit Gupta, Sieglinde Kranz, Nikolaus Regnat, Bernhard Rumpe⋆, Andreas Wortmann

0

citations
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
2022 Preprints.org preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

4

citations
Using Grammar Masking to Ensure Syntactic Validity in LLM-based Modeling Tasks
2024 arXiv (Cornell University) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Lukas Netz, Jan Heinrich Reimer, Bernhard Rumpe⋆

0

citations
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, +3 more

3

citations
From Text to Tables: A Local Privacy Preserving Large Language Model for Structured Information Retrieval from Medical Documents
2023 medRxiv preprint Computer Science Machine Learning in Healthcare Open access

Isabella C. Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, +6 more

25

citations
Fi-score: a novel approach to characterise protein topology and aid in drug discovery studies
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Austė Kanapeckaitė, Claudia Beaurivage, MATTHEW J. HANCOCK, Erik Verschueren

2

citations
Unbounded-Time Safety Verification of Stochastic Differential Dynamics
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Shenghua Feng, Mingshuai Chen, Xue Bai, Sriram Sankaranarayanan, Naijun Zhan

1

citations
Adapting Software Architectures to Machine Learning Challenges
2021 arXiv (Cornell University) preprint Computer Science Advanced Software Engineering Methodologies Open access

Alex Serban, Joost Visser

0

citations
A Kernel Two-sample Test for Dynamical Systems
2020 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe

0

citations
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System
2024 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Gineke Wiggers, Suzan Verberne, Arjen P. de Vries

0

citations
Replication and Exploration of Generative Retrieval over Dynamic Corpora
2025 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, +3 more

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Empirical assessment of the perception of graphical threat model acceptability
2025 arXiv (Cornell University) preprint Computer Science Information and Cyber Security Open access

Nathan Daniel Schiele, Olga Gadyatskaya

0

citations
QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling
2024 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Yumeng Wang, Xiuying Chen, Suzan Verberne

0

citations
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti

0

citations
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, Zhaochun Ren

24

citations
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology
2023 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, +6 more

5

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

citations
On the Computational Complexity of the Chain Rule of Differential Calculus
2021 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Uwe Naumann

1

citations
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
2025 arXiv (Cornell University) preprint Computer Science Cryptographic Implementations and Security Open access

Sengim Karayalçın, Marina Krček, Stjepan Picek

0

citations
Differentiable Scripting
2021 arXiv (Cornell University) preprint Computer Science Computational Physics and Python Applications Open access

Uwe Naumann

0

citations