A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detectionby…
Expert-Driven Monitoring of Operational ML Modelsby Joran Leest, Claudia Raibulet, Ilias Gerostathopoulos, Patricia LagoFirst submitted…
HgbNet: predicting hemoglobin level/anemia degree from EHR databy Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine…
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learningby Chu Myaet Thwal, Minh N.H. Nguyen, Ye…
P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision Transformerby Zhiyuan Wang, Xiaoyang Qu,…
Parametric Matrix Modelsby Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean LeeFirst submitted…
Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approachby Amisha Priyadarshini, Barbara Martinez-Neda, Sergio…
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transportby Chuanwen Feng, Wenlong Chen, Ao…
FedGTA: Topology-aware Averaging for Federated Graph Learningby Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu,…
Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitisby Yin Li, Yu…