Boosting Transformer’s Robustness and Efficacy in PPG Signal Artifact Detection with Self-Supervised Learningby Thanh-Dung LeFirst…
PAC-Bayesian Domain Adaptation Bounds for Multi-view learningby Mehdi Hennequin, Khalid Benabdeslem, Haytham ElghazelFirst submitted to…
Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDMby Mohamed Elmahallawy,…
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning…
Tensor Networks for Explainable Machine Learning in Cybersecurityby Borja Aizpurua, Samuel Palmer, Roman OrusFirst submitted…
Kernel Density Estimation for Multiclass Quantificationby Alejandro Moreo, Pablo González, Juan José del CozFirst submitted…
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approachby Shun…
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learnersby Rachel Redberg,…
Federated Class-Incremental Learning with New-Class Augmented Self-Distillationby Zhiyuan Wu, Tianliu He, Sheng Sun, Yuwei Wang,…
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine…