A Framework for Evaluating PM2.5 Forecasts from the Perspective of Individual Decision Makingby Renato Berlinghieri,…
Developing an Explainable Artificial Intelligent (XAI) Model for Predicting Pile Driving Vibrations in Bangkok’s Subsoilby…
Machine Learning Based Optimal Design of Fibrillar Adhesivesby Mohammad Shojaeifard, Matteo Ferraresso, Alessandro Lucantonio, Mattia…
Forward KL Regularized Preference Optimization for Aligning Diffusion Policiesby Zhao Shan, Chenyou Fan, Shuang Qiu,…
K-Fold Causal BART for CATE Estimationby Hugo Gobato Souto, Francisco Louzada NetoFirst submitted to arxiv…
Using machine learning for fault detection in lighthouse light sensorsby Michael Kampouridis, Nikolaos Vastardis, George…
Interpolation, Extrapolation, Hyperpolation: Generalising into new dimensionsby Toby OrdFirst submitted to arxiv on: 9 Sep…
Normalizing Energy Consumption for Hardware-Independent Evaluationby Constance Douwes, Romain SerizelFirst submitted to arxiv on: 9…
Joint Input and Output Coordination for Class-Incremental Learningby Shuai Wang, Yibing Zhan, Yong Luo, Han…
Towards Automated Machine Learning Researchby Shervin ArdeshirFirst submitted to arxiv on: 9 Sep 2024CategoriesMain: Machine…