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Papers matching “processing speed” 110

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IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
2023 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck

35

citations
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets
2022 Computers & Geosciences article Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

30

citations
GERALD: A novel dataset for the detection of German mainline railway signals
2023 Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit article Computer Science Advanced Neural Network Applications

Philipp Leibner, Christian Schindler

16

citations
seg-metrics: a Python package to compute segmentation metrics
2024 medRxiv preprint Computer Science Medical Image Segmentation Techniques Open access

Jingnan Jia, Marius Staring, Berend C. Stoel

11

citations
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck

7

citations
Maximizing the Potential of Custom RISC-V Vector Extensions for Speeding up SHA-3 Hash Functions
2023 Design, Automation, and Test in Europe conference-paper Computer Science Cryptographic Implementations and Security cited by 2 patents

Huimin Li, Nele Mentens, Stjepan Picek

7

citations
A Hybrid Intelligence Method for Argument Mining
2024 Journal of Artificial Intelligence Research article Computer Science Sentiment Analysis and Opinion Mining Open access

Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek T. J. M. Vossen, Pradeep Kumar Murukannaiah

7

citations
Accelerating Federated Learning via Modified Local Model Update Based on Individual Performance Metric
2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) conference-paper Computer Science Privacy-Preserving Technologies in Data

Mahdi Barhoush, Ahmad Ayad, Anke Schmeink

7

citations
High-Performance Image Filters via Sparse Approximations
2020 Proceedings of the ACM on Computer Graphics and Interactive Techniques article Computer Science Computer Graphics and Visualization Techniques

Kersten Schuster, Philip Trettner, Leif P. Kobbelt

7

citations
Deep Learning Approach for Bubble Detection and Segmentation with YOLOv5
2024 Preprints.org preprint Computer Science Advanced Neural Network Applications Open access

Amit Sharma, Moritz Eickhoff, Thomas Echterhof, Christian Wuppermann

6

citations
HyEnA: A Hybrid Method for Extracting Arguments from Opinions
2022 Frontiers in artificial intelligence and applications book-chapter Computer Science Sentiment Analysis and Opinion Mining Open access

Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek T. J. M. Vossen, Pradeep Kumar Murukannaiah

6

citations
Setting Up Configuration Spaces and Experiments
2022 Cognitive technologies book-chapter Computer Science Machine Learning and Data Classification Open access

Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren

4

citations
Efficient Qubit Calibration by Binary-Search Hamiltonian Tracking
2025 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Fabrizio Berritta, Jacob Benestad, Lukas Pahl, M. Geo Mathews, Jan A. Krzywda, Réouven Assouly, +11 more

3

citations
Performance of Computer Vision Algorithms for Fine‐Grained Classification Using Crowdsourced Insect Images
2025 IET Computer Vision article Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

3

citations
Solving weakly supervised regression problem using low-rank manifold regularization
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Vladimir Berikov, Alexander Litvinenko

2

citations
Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets
2021 preprint Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

2

citations
Potential-based Reward Shaping in Sokoban
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Zhao Yang, Mike Preuß, Aske Plaat

1

citations
Simulation-Aided Policy Tuning for Black-Box Robot Learning
2025 IEEE Transactions on Robotics article Computer Science Reinforcement Learning in Robotics Open access

Alexander von Rohr, Dominik Baumann, Xiang Ji, Sebastian Trimpe

1

citations
Finding efficient trade-offs in multi-fidelity response surface modelling
2022 Engineering Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck

1

citations
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

0

citations
Robust optimization and variants of the scheduling problem
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Complexity and Algorithms in Graphs Open access

Jenny Segschneider

0

citations
Interactive Streaming of 3D Scenes to Mobile Devices using Dual-Layer Image Warping and Loop-based Depth Reconstruction
2025 Journal of WSCG article Computer Science Computer Graphics and Visualization Techniques Open access

Jens Koenen, Simon Oehrl, Torsten Kuhlen, Tim Gerrits

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
A framework for symmetric self-intersecting surfaces
2026 Graphical Models article Computer Science Computational Geometry and Mesh Generation Open access

Christian Amend, Tom Goertzen

0

citations
A Kernel Two-sample Test for Dynamical Systems
2020 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe

0

citations