An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of…
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problemby Huaiyuan Liu,…
PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimationby Rui Wang, Mengshi Qi, Yingxia Shao,…
Machine learning empowered Modulation detection for OFDM-based signalsby Ali Pourranjbar, Georges Kaddoum, Verdier Assoume Mba,…
Snuffy: Efficient Whole Slide Image Classifierby Hossein Jafarinia, Alireza Alipanah, Danial Hamdi, Saeed Razavi, Nahal…
Absence of Closed-Form Descriptions for Gradient Flow in Two-Layer Narrow Networksby Yeachan ParkFirst submitted to…
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in…
An Efficient Replay for Class-Incremental Learning with Pre-trained Modelsby Weimin Yin, Bin Chen adn Chunzhao…
Hearing Your Blood Sugar: Non-Invasive Glucose Measurement Through Simple Vocal Signals, Transforming any Speech into…
Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortalityby Sangita Das, Subhrajyoti MajiFirst…