Markus Borg

Software Engineering Researcher

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Tag: machine learning

Machine Learning (ML) deals with how computer programs can learn and improve at performing a specific task when trained on historical data. ML is divided into unsupervised learning (such as clustering and topic modeling) and supervised learning (training a system on annotated examples). ML has been a central part of my research since my PhD studies, and even ended up in my thesis title.

October 6, 2020December 28, 2020mrksbrg

Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN

September 24, 2019July 15, 2020mrksbrg

Requirements Engineering for Machine Learning: Perspectives from Data Scientists

August 28, 2019December 28, 2020mrksbrg

Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks

August 27, 2019August 27, 2019mrksbrg

SZZ Unleashed: An Open Implementation of the SZZ Algorithm – Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project

April 22, 2019May 23, 2019mrksbrg

Machine Learning to Guide Performance Testing: An Autonomous Test Framework

April 4, 2019December 28, 2020mrksbrg

Towards Structured Evaluation of Deep Neural Network Supervisors

January 31, 2019August 18, 2019mrksbrg

Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry

May 29, 2018July 13, 2018mrksbrg

Adaptive Runtime Response Time Control in PLC-based Real-Time Systems using Reinforcement Learning

May 28, 2018July 13, 2018mrksbrg

Learning-based Response Time Analysis in Real-Time Embedded Systems: A Simulation-based Approach

May 28, 2018July 13, 2018mrksbrg

Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard

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Recent Publications

  • Testing AD/ADAS in Simulators – Results from Two Tool Competitions August 26, 2021
  • Digital Twins Are Not Monozygotic – Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators April 13, 2021
  • Making Programming Lab Sessions Mandatory – On Student Work Distribution in a Gamified Project Course on Market-Driven Software Engineering November 11, 2020
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