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A gap-filling method for room temperature data based on autoencoder neural networks2021 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Romana Markovic, Jérôme Frisch, Andreas Wagner, Francesco Causone, Christoph van Treeck
5citations -
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning2023 International Conference on Communications conference-paper Computer Science Wireless Signal Modulation Classification
Zeyang Yang, Xue Gang Fu, Guan Gui, Yun Lin, Haris Gacanin, Hikmet Sari, +1 more
10citations -
MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing2023 International Joint Conference on Computational Intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
9citations -
Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces2023 Journal of Physics Conference Series conference-paper Physics and Astronomy Radio Astronomy Observations and Technology Open access
Martin Erdmann, Katharina Hafner, Josina Schulte, Maximilian Straub
2citations -
Multi-Agent Scenario Generation in Roundabouts with a Transformer-Enhanced Conditional Variational Autoencoder2025 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Engineering Autonomous Vehicle Technology and Safety
Li Li, Tobias Brinkmann, Till Temmen, Markus Eisenbarth, Jakob Andert
0citations -
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis
Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, +1 more
4citations -
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-State Multivariate Time-Series Data2025 Studies in computational intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2citations -
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection Open access
Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose
0citations -
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 -
Autoencoders for Signal Enhancement in Communication Systems2024 International Conference on Military Communication and Information Systems (ICMCIS) conference-paper Computer Science Wireless Signal Modulation Classification
Vitor Duque, Jan Lewandowsky, Marc Adrat, Till Hardenbicker, Peter Jax
1citations -
Exploiting Generative Models for Performance Predictions of 3D Car Designs2021 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis Open access cited by 3 patents
Sneha Saha, Thiago Rios, Leandro Lei Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, +3 more
11citations -
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics
Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang
25citations