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A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Evolutionary Algorithms and Applications Open access
Alexander-Maurice Illig, Niklas E. Siedhoff, Ulrich Schwaneberg, Mehdi D. Davari
11citations -
Hydrogeochemical evaluation of groundwater evolution and quality in some Voltaian aquifers of Kintampo South District, Bono East Region, Ghana: Implications from chemometric analysis, geochemical modeling and geospatial mapping techniques
Emmanuel Daanoba Sunkari, Rafiatu Iddrisu, Joseph Turkson, Moses Boakye Okyere, Abayneh Ataro Ambushe
28citations -
Semantic Difference Analysis with Invariant Tracing for Class Diagrams Extended by OCL2024 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) conference-paper Computer Science Model-Driven Software Engineering Techniques
Bernhard Rumpe⋆, Max Stachon, Sebastian Stüber, Valdes Voufo
3citations -
Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort2024 Journal of Chemical Information and Modeling article Computer Science Evolutionary Algorithms and Applications
Alexander-Maurice Illig, Niklas E. Siedhoff, Mehdi D. Davari, Ulrich Schwaneberg
3citations -
Artifact and reference models for generative machine learning frameworks and build systems2021 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE) conference-paper Computer Science Model-Driven Software Engineering Techniques cited by 3 patents
Abdallah Atouani, Jörg Christian Kirchhof, Evgeny Kusmenko, Bernhard Rumpe⋆
15citations -
Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning2024 arXiv (Cornell University) preprint Computer Science Data Visualization and Analytics Open access
Euclid Collaboration, Ben Aussel, S. Kruk, M. Walmsley, M. Huertas-Company, M Castellano, +94 more
0citations -
Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets2023 IEEE Open Journal of Engineering in Medicine and Biology article Computer Science Machine Learning in Healthcare Open access
Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, +5 more
12citations -
Computational simulation of virtual patients reduces dataset bias and improves machine learning-based detection of ARDS from noisy heterogeneous ICU datasets
Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, +5 more
5citations -
Efficient hybrid multiobjective optimization of pressure swing adsorption2021 Chemical Engineering Journal article Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Zhimian Hao, Adrian Caspari, Artur M. Schweidtmann, Yannic Vaupel, Alexei A. Lapkin, Adel Mhamdi
57citations -
Stirring the false vacuum via interacting quantized bubbles on a 5564-qubit quantum annealer2024 White Rose Research Online (University of Leeds, The University of Sheffield, University of York) preprint Computer Science Quantum Information and Cryptography Open access
Jaka Vodeb, Jean-Yves Desaules, Andrew Hallam, Andrea Rava, Gregor Humar, Dennis Willsch, +4 more
0citations