Sort by
Refine Your Search
-
Category
-
Field
-
with Prof. Jesse Davis on safe AI where the goal is to develop verification and reasoning techniques for tree ensembles with applications in planning. This is a joint project in conjunction with Prof
-
, but detrimental for multitasking. It is assumed that cognitive control prevents multitasking to shield learning efficacy. However, the framework also predicts that multitasking capacity should increase
-
without shortages. The project will explore the use of historical demand and supply data, along with auxiliary information, within a Predict-then-Optimize (PtO) framework. This PtO framework will leverage
-
Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
-
friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction