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Papers matching “model performance” 1,482

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Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman

2

citations
Intra-unikernel isolation with Intel memory protection keys
2020 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE) conference-paper Computer Science Security and Verification in Computing

Mincheol Sung, Pierre Olivier, Stefan Lankes, Binoy Ravindran

56

citations
Investigating De-Identification Methodologies in Dutch Medical Texts: A Replication Study of Deduce and Deidentify
2025 Electronics article Computer Science Privacy-Preserving Technologies in Data Open access

Pablo J. Mosteiro, Floortje E. Scheepers, Marco René Spruit

0

citations
Automated Algorithm Design for Auto-Tuning Optimizers
2025 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Bas van Stein, Ben van Werkhoven

0

citations
Application of RL in control systems using the example of a rotatory inverted pendulum
2024 conference-paper Computer Science Reinforcement Learning in Robotics Open access

René Rütters, Michael Bragard

0

citations
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
2023 IEEE Congress on Evolutionary Computation (CEC) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Frank Neumann, Aneta Neumann, Chao Qian, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, +3 more

3

citations
Bayesian Generative Modelling of Student Results in Course Networks
2023 Journal of Learning Analytics article Computer Science Online Learning and Analytics Open access

M. Haas, Colin C. Caprani, Benji Van Beurden

2

citations
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Frank Neumann, Aneta Neumann, Viet Anh Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, +3 more

1

citations
Rapid RISC-V Floating Point Vector Simulation
2025 conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Niko Zurstraßen, Nils Bosbach, Lukas Jünger, Rainer Leupers

0

citations
Out of Control: Reducing Probabilistic Models by Control-State Elimination
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Johannes C. Lehmann, Joost-Pieter Katoen

0

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations
Rashomon Alignment
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Moisés Santos, Peter van der Putten, Bernhard Pfahringer, Carlos Soares

0

citations
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2021 IEEE Access article Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

32

citations
Strategy Synthesis for POMDPs in Robot Planning via Game-Based Abstractions
2020 IEEE Transactions on Automatic Control article Computer Science Formal Methods in Verification Open access

Leonore Winterer, Sebastian Junges, Ralf Wimmer, Nils Jansen, Ufuk Topcu, Joost-Pieter Katoen, +1 more

13

citations
The Optimal Quantum of Temporal Decoupling
2024 Asia and South Pacific Design Automation Conference (ASP-DAC) conference-paper Computer Science Embedded Systems Design Techniques

Niko Zurstraßen, Ruben Brandhofer, José Cubero-Cascante, Nils Bosbach, Lukas Jünger, Rainer Leupers

4

citations
Learning recommendations from educational event data in higher education
2024 Journal of Intelligent Information Systems article Computer Science Online Learning and Analytics Open access

Gyunam Park, Lukas Liß, Wil M. P. van der Aalst

3

citations
MYX: Runtime Correctness Analysis for Multi-Level Parallel Programming Paradigms
2020 Lecture notes in computational science and engineering book-chapter Computer Science Parallel Computing and Optimization Techniques Open access

Joachim Protze, Miwako Tsuji, Christian Terboven, Thomas Dufaud, Hitoshi Murai, Serge G. Petiton, +3 more

1

citations
Proving the Potential of Skeleton Based Action Recognition to Automate the Analysis of Manual Processes
2023 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Marlin Berger, Frederik Cloppenburg, Jens Eufinger, Thomas Gries

0

citations
Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Ben McEwen, Shiqi Zhang, Dan Stowell

0

citations
Generating Piano Music with Transformers: A Comparative Study of Scale, Data, and Metrics
2025 arXiv (Cornell University) preprint Computer Science Music Technology and Sound Studies Open access

Jonathan Lehmkuhl, Ábel Ilyés-Kun, Nico Bremes, Cemhan Kaan Özaltan, Frederik Muthers, Jiayi Yuan

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

3

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Modeling the composition of analysis components and automatic constraint checking for semantic soundness
2025 Journal of Systems and Software article Computer Science Model-Driven Software Engineering Techniques Open access

Bahareh Taghavi, Sebastian Weber, Adrian Marin, Bernhard Rumpe⋆, Sebastian Stüber, Jörg Henß, +2 more

3

citations
Machine Learning as a Novel Method to Support Therapeutic Drug Management and Precision Dosing
2021 Clinical Pharmacology & Therapeutics article Computer Science Machine Learning in Healthcare Open access

Teun van Gelder, Alexander A. T. M. M. Vinks

25

citations