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ORCIDRabih Younes
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2020 – today
- 2024
[j4]Lucy Chikwetu
, Rabih Younes:
Carbohydrate Content Classification Using Postprandial Heart Rate Responses from Non-Invasive Wearables. Sensors 24(16): 5331 (2024)- [i4]Zehao Wen, Rabih Younes:
ChatGPT v.s. Media Bias: A Comparative Study of GPT-3.5 and Fine-tuned Language Models. CoRR abs/2403.20158 (2024) - [i3]Sheng Shen, Rabih Younes:
Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning. CoRR abs/2409.07763 (2024) - 2023
- [c7]Charlie Haywood, Rabih Younes:
Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network. IJCNN 2023: 1-8 - [c6]Chenhui Zhao, Xiang Li, Rabih Younes:
Self-supervised Multi-Modal Video Forgery Attack Detection. WCNC 2023: 1-6 - 2022
- [i2]Chenhui Zhao, Xiang Li, Siwen Dong, Rabih Younes:
Self-supervised Multi-Modal Video Forgery Attack Detection. CoRR abs/2209.06345 (2022) - [i1]Xiang Li, Rabih Younes:
Recovering Surveillance Video Using RF Cues. CoRR abs/2212.13340 (2022) - 2021
- [c5]Zixuan Yan, Rabih Younes, Jason Forsyth:
ResNet-Like CNN Architecture and Saliency Map for Human Activity Recognition. MobiCASE 2021: 129-143 - 2020
- [j3]Xiang Li, Rabih Younes, Diana Bairaktarova, Qi Guo:
Predicting Spatial Visualization Problems' Difficulty Level from Eye-Tracking Data. Sensors 20(7): 1949 (2020) - [c4]Xiang Li, Jinqi Luo, Rabih Younes:
ActivityGAN: generative adversarial networks for data augmentation in sensor-based human activity recognition. UbiComp/ISWC Adjunct 2020: 249-254
2010 – 2019
- 2018
- [b1]Rabih Younes:
Toward Practical, In-The-Wild, and Reusable Wearable Activity Classification. Virginia Tech, Blacksburg, VA, USA, 2018 - [j2]Rabih Younes, Mark T. Jones, Thomas L. Martin:
Classifier for Activities with Variations. Sensors 18(10): 3529 (2018) - [c3]Rabih Younes, Mark T. Jones, Thomas L. Martin:
Toward Practical Activity Recognition: Recognizing Complex Activities with Wide Variations. PerCom Workshops 2018: 9-14 - 2015
- [j1]Madison Blake, Rabih Younes, Jacob Dennis, Thomas L. Martin, Mark T. Jones:
A User-Independent and Sensor-Tolerant Wearable Activity Classifier. Computer 48(10): 64-71 (2015) - [c2]Rabih Younes:
Improving the accuracy of wearable activity classifiers. UbiComp/ISWC Adjunct 2015: 509-514 - [c1]Rabih Younes, Thomas L. Martin, Mark T. Jones:
Activity classification at a higher level: what to do after the classifier does its best? ISWC 2015: 83-86
Coauthor Index
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