activity
20182021
most citedWAP: Digital Dependability Identities

45 citations · 52 across the 4 of their papers we have counts for

collaborators

6 papers

cs.SE20217 cited

DEIS: Dependability Engineering Innovation for Industrial CPS

Erik Armengaud, Georg Macher, Alexander Massoner +15

The open and cooperative nature of Cyber-Physical Systems (CPS) poses new challenges in assuring dependability. The DEIS project (Dependability Engineering Innovation for automotiv…

cs.OH202145 cited

WAP: Digital Dependability Identities

Daniel Schneider, Mario Trapp, Yiannis Papadopoulos +3

Cyber-Physical Systems (CPS) provide enormous potential for innovation but a precondition for this is that the issue of dependability has been addressed. This paper presents the co…

cs.LG2020

SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure

Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting +2

Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditi…

cs.SE2020

Failure Mode Reasoning in Model Based Safety Analysis

Hamid Jahanian, David Parker, Marc Zeller +2

Failure Mode Reasoning (FMR) is a novel approach for analyzing failure in a Safety Instrumented System (SIS). The method uses an automatic analysis of an SIS program to calculate p…

cs.NE2018

PeSOA: Penguins Search Optimisation Algorithm for Global Optimisation Problems

Youcef Gheraibia, Abdelouahab Moussaoui, Peng-Yeng Yin +2

This paper develops Penguin search Optimisation Algorithm (PeSOA), a new metaheuristic algorithm which is inspired by the foraging behaviours of penguins. A population of penguins…

q-fin.CP2018

A First Option Calibration of the GARCH Diffusion Model by a PDE Method

Yiannis A. Papadopoulos, Alan L. Lewis

Time-series calibrations often suggest that the GARCH diffusion model could also be a suitable candidate for option (risk-neutral) calibration. But unlike the popular Heston model,…