| Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications A Bakhtiarnia, B Leporowski, L Esterle, A Iosifidis 2022 IEEE International Smart Cities Conference (ISC2), 1-5, 2022 | 4 | 2022 |
| Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving B Leporowski, D Tola, C Hansen, A Iosifidis Towards Sustainable Customization: Bridging Smart Products and Manufacturing …, 2022 | 4 | 2022 |
| Visualising deep network time-series representations B Leporowski, A Iosifidis Neural Computing and Applications 33, 16489-16498, 2021 | 4 | 2021 |
| Aursad: Universal robot screwdriving anomaly detection dataset B Leporowski, D Tola, C Hansen, A Iosifidis arXiv preprint arXiv:2102.01409, 2021 | 4 | 2021 |
| Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos B Leporowski, A Bakhtiarnia, N Bonnici, A Muscat, L Zanella, Y Wang, ... arXiv preprint arXiv:2305.15084, 2023 | | 2023 |
| DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series B Leporowski, C Hansen, A Iosifidis arXiv preprint arXiv:2109.10082, 2021 | | 2021 |
Alexandros IosifidisProfessor, Aarhus UniversityVerified email at ece.au.dk
