Papers matching “principal component analysis” 25
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Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
17citations -
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection261citations
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A Novel Intrusion Detection Method Based on Lightweight Neural Network for Internet of Things2021 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection
Ruijie Zhao, Guan Gui, Zhi Xue, Jie Yin, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, +1 more
225citations -
Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines2024 IEEE International Workshop on Information Forensics and Security conference-paper Computer Science Wireless Signal Modulation Classification Open access
Matteo Varotto, Florian Heinrichs, Timo Schürg, Stefano Tomasin, Stefan Valentin
7citations -
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann
6citations -
Fully automated AI-based digital workflow for orbital fracture mirroring: A multicenter approach2026 Journal of Cranio-Maxillofacial Surgery article Computer Science Medical Image Segmentation Techniques Open access
Sorana Mureșanu, Michel Beyer, Ashkan Rashad, Oliver Vladu, Behrus Puladi, Frank Hölzle, +3 more
0citations -
Monoplanar CT Reconstruction with GANs2022 International Conference on Image Processing Theory, Tools and Applications (IPTA) conference-paper Computer Science Generative Adversarial Networks and Image Synthesis
Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung, +1 more
2citations -
Using Machine Learning for Lunar Mineralogy-I: Hyperspectral Imaging of Volcanic Samples2025 arXiv (Cornell University) preprint Computer Science Geochemistry and Geologic Mapping Open access
Fatemeh Fazel Hesar, Mojtaba Raouf, Peyman Soltani, B. Foing, M. J. A. de Dood, Fons J. Verbeek, +1 more
0citations -
MO062: Pan-Disease Segmentation and Feature Extraction for Large-Scale Digital Nephropathology2022 Nephrology Dialysis Transplantation conference-abstract Computer Science AI in cancer detection
David Laurin Hölscher, Nassim Bouteldja, Yu-Chia Lan, Saskia Freifrau von Stillfried, Roman David Bülow, Peter Boor
1citations
25 results