Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric…
Data-Driven Self-Supervised Graph Representation Learningby Ahmed E. Samy, Zekarias T. Kefatoa, Sarunas GirdzijauskasaFirst submitted to…
Robust Federated Learning in the Face of Covariate Shift: A Magnitude Pruning with Hybrid Regularization…
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learningby Eric Brouwer,…
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performanceby Sukrit Leelaluk, Cheng Tang,…
Uncertainty separation via ensemble quantile regressionby Navid Ansari, Hans-Peter Seidel, Vahid BabaeiFirst submitted to arxiv…
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoringby…
UA-PDFL: A Personalized Approach for Decentralized Federated Learningby Hangyu Zhu, Yuxiang Fan, Zhenping XieFirst submitted…
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networksby Giorgio Morales, John SheppardFirst…
Early Detection of At-Risk Students Using Machine Learningby Azucena L. Jimenez Martinez, Kanika Sood, Rakeshkumar…