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Anton Kos
Publications
- 2024
- [j35]Libin Jiao, Wenchao Gao, Rongfang Bie, Anton Umek, Anton Kos:
Golf Guided Grad-CAM: attention visualization within golf swings via guided gradient-based class activation mapping. Multim. Tools Appl. 83(13): 38481-38503 (2024) - 2022
- [c20]Yao Guo, Junyang Song, Yu Guo, Rongfang Bie, Libin Jiao, Anton Umek, Anton Kos:
RtSNN: Building a Real-time Siamese Neural Networks Model for Few-shot Action Recognition. BigCom 2022: 243-250 - 2021
- [j29]Anton Kos, Yunchuan Sun, Rongfang Bie:
Information, communication and computing technologies as enablers of advancements in modern information society. Pers. Ubiquitous Comput. 25(6): 957-958 (2021) - 2020
- [j25]Junqi Guo, Lan Yang, Anton Umek, Rongfang Bie, Saso Tomazic, Anton Kos:
A Random Forest-Based Accuracy Prediction Model for Augmented Biofeedback in a Precision Shooting Training System. Sensors 20(16): 4512 (2020) - 2019
- [j24]Junqi Guo, Lan Yang, Rongfang Bie, Jiguo Yu, Yuan Gao, Yan Shen, Anton Kos:
An XGBoost-based physical fitness evaluation model using advanced feature selection and Bayesian hyper-parameter optimization for wearable running monitoring. Comput. Networks 151: 166-180 (2019) - [c18]Shuaijing Xu, Guangzhi Zhang, Rongfang Bie, Anton Kos:
CXNet-m2: A Deep Model with Visual and Clinical Contexts for Image-Based Detection of Multiple Lesions. WASA 2019: 407-418 - 2018
- [j21]Chao Zhang, Hao Wu, Rongfang Bie, Rashid Mehmood, Anton Kos:
Dynamic Modeling of Failure Events in Preventative Pipe Maintenance. IEEE Access 6: 12539-12550 (2018) - [j18]Libin Jiao, Rongfang Bie, Hao Wu, Yu Wei, Jixin Ma, Anton Umek, Anton Kos:
Golf swing classification with multiple deep convolutional neural networks. Int. J. Distributed Sens. Networks 14(10) (2018) - [j16]Libin Jiao, Hao Wu, Rongfang Bie, Anton Umek, Anton Kos:
Towards Real-Time Multi-Sensor Golf Swing Classification Using Deep CNNs. J. Database Manag. 29(3): 17-42 (2018) - 2017
- [c15]Libin Jiao, Hao Wu, Rongfang Bie, Anton Umek, Anton Kos:
Multi-sensor Golf Swing Classification Using Deep CNN. IIKI 2017: 59-65
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