Rabih Younes

According to our database, Rabih Younes authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

ChatGPT v.s. Media Bias: A Comparative Study of GPT-3.5 and Fine-tuned Language Models.

Zehao Wen, Rabih Younes

CoRR, 2024

2023

Self-supervised Multi-Modal Video Forgery Attack Detection.

Chenhui Zhao, Xiang Li, Rabih Younes

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network.

Charlie Haywood, Rabih Younes

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Recovering Surveillance Video Using RF Cues.

Xiang Li, Rabih Younes

CoRR, 2022

Self-supervised Multi-Modal Video Forgery Attack Detection.

Chenhui Zhao, Xiang Li, Siwen Dong, Rabih Younes

CoRR, 2022

2021

ResNet-Like CNN Architecture and Saliency Map for Human Activity Recognition.

Zixuan Yan, Rabih Younes, Jason Forsyth

Proceedings of the Mobile Computing, Applications, and Services, 2021

2020

Predicting Spatial Visualization Problems' Difficulty Level from Eye-Tracking Data.

Xiang Li, Rabih Younes, Diana Bairaktarova, Qi Guo

Sensors, 2020

ActivityGAN: generative adversarial networks for data augmentation in sensor-based human activity recognition.

Xiang Li, Jinqi Luo, Rabih Younes

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2018

Classifier for Activities with Variations.

Rabih Younes, Mark T. Jones, Thomas L. Martin

Sensors, 2018

Toward Practical Activity Recognition: Recognizing Complex Activities with Wide Variations.

Rabih Younes, Mark T. Jones, Thomas L. Martin

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

2015

A User-Independent and Sensor-Tolerant Wearable Activity Classifier.

Madison Blake, Rabih Younes, Jacob Dennis, Thomas L. Martin, Mark T. Jones

Computer, 2015

Activity classification at a higher level: what to do after the classifier does its best?

Rabih Younes, Thomas L. Martin, Mark T. Jones

Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Improving the accuracy of wearable activity classifiers.

Rabih Younes

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015