Lumpability for Uncertain Continuous-Time Markov Chains7 September 2021The assumption of perfect knowledge of rate parameters in continuous-time Markov chains (CTMCs) is...
From time to space and back: languages and tool for spatio-temporal monitoring30 July 2021The specification and monitoring of spatio-temporal properties is becoming of utmost importance in...
Cyber Physical Uncertainties29 July 2021Cyber-physical systems are exposed to multiple uncertainties due to mixing software and hardware...
Patenting in 4IR Technologies and Firm Performance23 June 2021We investigate whether firm performance is related to the accumulated stock of technological...
Constrained Deep Learning for System Identification and Differentiable Predictive Control of Nonlinear Systems17 June 2021We present a differentiable predictive control (DPC) methodology for learning dynamics and...
Uncovering seeds9 June 2021We provide the theoretical foundations for a new estimation algorithm that non-parametrically...
Can we trust the algorithms that recommend products online? Theory and practice of recommender systems.19 May 2021Upon logging into their Netflix, Amazon or Spotify accounts, consumers are usually greeted with...
Mapping flows on weighted and directed networks with incomplete observations12 May 2021Detecting significant community structure in networks with incomplete observations is challenging...
Global Value Chains and the Removal of Trade Protection5 May 2021This paper examines how trade protection is affected by changes in the value-added content of...
Random Networks and Geometries in Physics22 April 2021Physicists have long speculated that spacetime at the very shortest scales may not be a continuum...