Summary of Towards Secure and Efficient Data Scheduling For Vehicular Social Networks, by Youhua Xia et al.
Towards Secure and Efficient Data Scheduling for Vehicular Social Networksby Youhua Xia, Tiehua Zhang, Jiong…
Summary of Methodology to Deploy Cnn-based Computer Vision Models on Immersive Wearable Devices, by Kaveh Malek (1) et al.
Methodology to Deploy CNN-Based Computer Vision Models on Immersive Wearable Devicesby Kaveh Malek, Fernando MoreuFirst…
Summary of Learning a Clinically-relevant Concept Bottleneck For Lesion Detection in Breast Ultrasound, by Arianna Bunnell et al.
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasoundby Arianna Bunnell, Yannik Glaser,…
Summary of Comparative Analysis Of Lstm Neural Networks and Traditional Machine Learning Models For Predicting Diabetes Patient Readmission, by Abolfazl Zarghani
Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient…
Summary of Dimensions Underlying the Representational Alignment Of Deep Neural Networks with Humans, by Florian P. Mahner et al.
Dimensions underlying the representational alignment of deep neural networks with humansby Florian P. Mahner, Lukas…
Summary of Advancing Operational Pm2.5 Forecasting with Dual Deep Neural Networks (d-dnet), by Shengjuan Cai et al.
Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet)by Shengjuan Cai, Fangxin Fang, Vincent-Henri…
Summary of Operator Learning Of Lipschitz Operators: An Information-theoretic Perspective, by Samuel Lanthaler
Operator Learning of Lipschitz Operators: An Information-Theoretic Perspectiveby Samuel LanthalerFirst submitted to arxiv on: 26…
Summary of Unified Uncertainties: Combining Input, Data and Model Uncertainty Into a Single Formulation, by Matias Valdenegro-toro and Ivo Pascal De Jong and Marco Zullich
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulationby Matias Valdenegro-Toro, Ivo…
Summary of Improving Hyperparameter Optimization with Checkpointed Model Weights, by Nikhil Mehta et al.
Improving Hyperparameter Optimization with Checkpointed Model Weightsby Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam,…
Summary of Emt: a Novel Transformer For Generalized Cross-subject Eeg Emotion Recognition, by Yi Ding et al.
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognitionby Yi Ding, Chengxuan Tong, Shuailei…