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Overcoming data scarcity in biomedical imaging with a foundational multi-task model2024 Nature Computational Science article Computer Science Domain Adaptation and Few-Shot Learning Open access
Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, +2 more
73citations -
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, +3 more
2citations -
A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices2022 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification
Biao Dong, Yuchao Liu, Guan Gui, Xue Gang Fu, Heng Dong, Bamidele Adebisi, +2 more
52citations -
Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models2023 Advances in transdisciplinary engineering book-chapter Computer Science Reinforcement Learning in Robotics Open access
Akshay Paranjape, Nils Plettenberg, Markus Ohlenforst, Robert Heinrich Schmitt
2citations -
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access
Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden, Peter A. N. Bosman, Tanja Alderliesten
0citations -
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
4citations -
A Model-Driven Generative Self Play-Based Toolchain for Developing Games and Players2022 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE) conference-paper Computer Science Artificial Intelligence in Games
Evgeny Kusmenko, Maximilian Münker, Matthias Nadenau, Bernhard Rumpe⋆
2citations -
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 -
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning2023 ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman
0citations -
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks2020 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection Open access cited by 1 patent
Segun Isaiah Popoola, Bamidele Adebisi, Mohammad Ali A. Hammoudeh, Guan Gui, Haris Gacanin
249citations