Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classificationby Mohammad…
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learningby Yasin I. Tepeli, Mathijs de Wolf,…
Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Reviewby Abhijith S,…
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applicationsby Emily Williams,…
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimationby Chen Xu, Qiang Wang, Lijun SunFirst…
ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics Systemby Rahul…
Using Machine Bias To Measure Human Biasby Wanxue Dong, Maria De-Arteaga, Maytal Saar-TsechanskyFirst submitted to…
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease…
Active partitioning: inverting the paradigm of active learningby Marius Tacke, Matthias Busch, Kevin Linka, Christian…
Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivityby L. Klochko, M. d'Aquin, A.…