output
20062026
most citedEstimating conditional quantiles with the help of the pinball loss

227 citations

Showing cs.SEShow all

8 papers · 1 filter

cs.SE2026

Evaluating Hardware Abstraction Layer Concepts for Software Defined Vehicles: Insights into Applicability and Effectiveness

Akshay Narla, Johannes Stümpfle, Souvik Saha +2

The emergence of Software-Defined Vehicles represents a fundamental shift in automotive design, prioritizing software-centric architectures over traditional hardware-driven models.…

cs.SE2025★ 5 cited

AI-assisted JSON Schema Creation and Mapping

Felix Neubauer, Jürgen Pleiss, Benjamin Uekermann

Model-Driven Engineering (MDE) places models at the core of system and data engineering processes. In the context of research data, these models are typically expressed as schemas…

cs.SE2023★ 4 cited

Qualitative and quantitative evaluation of a methodology for the Digital Twin creation of brownfield production systems

Dominik Braun, Nasser Jazdi, Wolfgang Schloegl +1

The Digital Twin is a well-known concept of industry 4.0 and is the cyber part of a cyber-physical production system providing several benefits such as virtual commissioning or pre…

cs.SE2023★ 21 cited

Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository

Lukas Heiland, Marius Hauser, Justus Bogner

Systems with artificial intelligence components, so-called AI-based systems, have gained considerable attention recently. However, many organizations have issues with achieving pro…

cs.SE2022★ 3 cited

A graph-based knowledge representation and pattern mining supporting the Digital Twin creation of existing manufacturing systems

Dominik Braun, Timo Müller, Nada Sahlab +3

The creation of a Digital Twin for existing manufacturing systems, so-called brownfield systems, is a challenging task due to the needed expert knowledge about the structure of bro…

cs.SE2021★ 50 cited

Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study

Justus Bogner, Roberto Verdecchia, Ilias Gerostathopoulos

Background: With the rising popularity of Artificial Intelligence (AI), there is a growing need to build large and complex AI-based systems in a cost-effective and manageable way.…