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R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge2025 International Conference on Communications conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Aladin Djuhera, Vlad C. Andrei, Mohsen Pourghasemian, Haris Gacanin, Holger Boche, Walid Saad
1citations -
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Yusuke Yamazaki, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, +1 more
47citations -
Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma2023 Nature Communications article Computer Science AI in cancer detection Open access cited by 1 patent
Julien Caldéraro, Narmin Ghaffari Laleh, Qinghe Zeng, Pascale Maillé, Loëtitia Favre, Anaïs Pujals, +79 more
85citations -
A Machine Learning-Driven Virtual Biopsy System For Kidney Transplant Patients2024 Nature Communications article Medicine Renal Transplantation Outcomes and Treatments Open access cited by 1 patent
Daniel Yoo, Gillian Divard, Marc Raynaud, Aarón Cohen, Tom Mone, John Thomas Rosenthal, +33 more
40citations -
Predictors for extubation failure in COVID-19 patients using a machine learning approach2021 Critical Care article Medicine Respiratory Support and Mechanisms Open access cited by 1 patent
Lucas M. Fleuren, Tariq A. Dam, Michele Tonutti, Daan P. de Bruin, Robbert C. A. Lalisang, Diederik A M P J Gommers, +91 more
39citations -
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities2021 IFIP/IEEE International Conference on Very Large Scale Integration conference-paper Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access
Dominik Šišejković, Lennart M. Reimann, Elmira Moussavi, Farhad Merchant, Rainer Leupers
29citations -
Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning2023 Energy & Fuels article Chemical Engineering Advanced Combustion Engine Technologies Open access
Lorenz Fleitmann, Philipp Ackermann, Johannes Schilling, Johanna Kleinekorte, Jan G. Rittig, Florian vom Lehn, +6 more
25citations -
Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption2023 IEEE Transactions on Intelligent Transportation Systems article Engineering Traffic control and management
Lucas Koch, Tobias Brinkmann, Marius Wegener, Kevin Badalian, Jakob Andert
24citations -
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit2022 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society conference-paper Engineering Non-Invasive Vital Sign Monitoring
Nicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, Srinivasa Karthik, Keerthi Ram, Steffen K. Leonhardt, +2 more
20citations -
Deep learning-enhanced characterization of bubble dynamics in proton exchange membrane water electrolyzers2024 Physical Chemistry Chemical Physics article Energy Electrocatalysts for Energy Conversion Open access
André Colliard-Granero, Keusra Armel Gompou, Christian Rodenbücher, Kourosh Malek, Michael Hermann Eikerling, Mohammad J. Eslamibidgoli
19citations