Smart cities are an innovate concept for managing urban cities to enhance sustainability and
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …

In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …

Automated Machine Learning (AutoML) supports practitioners and researchers with the
tedious task of designing machine learning pipelines and has recently achieved substantial …

Submodularity1 is a property of set functions with deep theoretical consequences and far–
reaching applications. At first glance it appears very similar to concavity, in other ways it …

Is it possible to maximize a monotone submodular function faster than the widely used lazy
greedy algorithm (also known as accelerated greedy), both in theory and practice? In this …

In networks, not all nodes have the same importance, and some are more important than
others. The issue of finding the most important nodes in networks has been addressed …

Given a water distribution network, where should we place sensors toquickly detect
contaminants? Or, which blogs should we read to avoid missing important stories?. These …

We consider the problem of maximizing a (non-monotone) submodular function subject to a
cardinality constraint. In addition to capturing well-known combinatorial optimization …

This paper tries to answer two questions. First, how to infer real-time air quality of any
arbitrary location given environmental data and historical air quality data from very sparse …

Automated Machine Learning, which supports practitioners and researchers with the tedious
task of manually designing machine learning pipelines, has recently achieved substantial …