26 citations · 31 across the 11 of their papers we have counts for
6 papers · 1 filter
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
Hongyi Zhang, Jingya Li, Zhiqiang Qi +4
Fast and reliable connectivity is essential to enhancing situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster ci…
Bayesian propensity score matching in automotive embedded software engineering
Yuchu Liu, David Issa Mattos, Jan Bosch +2
Randomised field experiments, such as A/B testing, have long been the gold standard for evaluating the value that new software brings to customers. However, running randomised fiel…
An architecture for enabling A/B experiments in automotive embedded software
Yuchu Liu, Jan Bosch, Helena Holmström Olsson +1
A/B experimentation is a known technique for data-driven product development and has demonstrated its value in web-facing businesses. With the digitalisation of the automotive indu…
Size matters? Or not: A/B testing with limited sample in automotive embedded software
Yuchu Liu, David Issa Mattos, Jan Bosch +2
A/B testing is gaining attention in the automotive sector as a promising tool to measure causal effects from software changes. Different from the web-facing businesses, where A/B t…
On the Assessment of Benchmark Suites for Algorithm Comparison
David Issa Mattos, Lucas Ruud, Jan Bosch +1
Benchmark suites, i.e. a collection of benchmark functions, are widely used in the comparison of black-box optimization algorithms. Over the years, research has identified many des…
Real-time End-to-End Federated Learning: An Automotive Case Study
Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
With the development and the increasing interests in ML/DL fields, companies are eager to apply Machine Learning/Deep Learning approaches to increase service quality and customer e…