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Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
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Improving Quantum Multi-Objective Optimization with Archiving and Substitution2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Linus Ekstrøm, Takafumi Hosogi, Xavier Bonet-Monroig, Hao Wang, Thomas Bäck, Sebastian Schmitt
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QTFlow: Quantitative Timing-Sensitive Information Flow for Security-Aware Hardware Design on RTL2024 arXiv (Cornell University) preprint Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access
Lennart M. Reimann, Anschul Prashar, Chiara Ghinami, Rebecca Pelke, Dominik Šišejković, Farhad Merchant, +1 more
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DEEP LEARNING APPROACH FOR RENAL CELL CARCINOMA DETECTION, SUBTYPING, AND GRADING2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, Gopal Avinash, Johannes Stegmaier, Abin Jose
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Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids2024 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
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People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection2023 arXiv (Cornell University) preprint Computer Science Hate Speech and Cyberbullying Detection Open access
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagne
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Mixed-Precision GPU Acceleration of RTE-RRTMGP-CPP: Towards Radiative Transfer Simulations on Exascale Supercomputers2026 Procedia Computer Science conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Stijn Heldens, Alessio Sclocco, Gijs van den Oord, Ben van Werkhoven, Chiel van Heerwaarden, Erwan Raffin, +1 more
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Uncertainty-Aware Federated Learning for Joint Communication and Computation in XR Systems2026 IEEE Transactions on Mobile Computing article Computer Science Privacy-Preserving Technologies in Data Open access
Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad, Haris Gacanin, Aydin Sezgin
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Training of AI Models Beyond the Local Dataset Using Federated Learning with 695,000 Non-Identically-Labeled Chest Radiographs2023 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren article Computer Science Privacy-Preserving Technologies in Data
Soroosh Tayebi Arasteh, Peter Isfort, Marwin-Jonathan Sähn, Christiane Katharina Kuhl, Daniel Truhn, Sven Nebelung
0citations