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Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices2026 International Joint Conference on Artificial Intelligence conference-paper Computer Science IoT and Edge/Fog Computing Open access
Alexander Gräfe, 火丁, Vincent de Bakker, Johannes Berger, Marco Zimmerling, Sebastian Trimpe
0citations -
POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation2023 Medical Image Analysis article Computer Science Medical Image Segmentation Techniques Open access
Xingru Huang, Retesh Bajaj, Yilong Li, Xin Ye, Ji Lin, Francesca Pugliese, +8 more
21citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pretraining and Customized Fine-Tuning2025 Transportation Research Record Journal of the Transportation Research Board article Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Guo Song, Bart van Arem, Haneen Farah
2citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
0citations -
How Much Self-Attention Do We Needƒ Trading Attention for Feed-Forward Layers2020 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis cited by 2 patents
Kazuki Irie, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney
4citations -
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens2022 International Journal on Document Analysis and Recognition (IJDAR) article Computer Science Handwritten Text Recognition Techniques Open access cited by 1 patent
Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, +1 more
26citations -
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
0citations -
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
0citations -
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek
1citations -
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang
3citations -
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang
0citations -
Transfer Learning of Surrogate Models via Domain Affine Transformation2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang
5citations