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20162022
most citedPerformance Analysis of Out-of-Distribution Detection on Trained Neural Networks

16 citations · 37 across the 24 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.SE2022

Mutation Testing Optimisations using the Clang Front-end

Sten Vercammen, Serge Demeyer, Markus Borg +2

Mutation testing is the state-of-the-art technique for assessing the fault detection capacity of a test suite. Unfortunately, a full mutation analysis is often prohibitively expens…

cs.CL2022

Automotive Multilingual Fault Diagnosis

John Pavlopoulos, Alv Romell, Jacob Curman +3

Automated fault diagnosis can facilitate diagnostics assistance, speedier troubleshooting, and better-organised logistics. Currently, AI-based prognostics and health management in…

cs.SE20222 cited

Adopting Automated Bug Assignment in Practice: A Longitudinal Case Study at Ericsson

Markus Borg, Leif Jonsson, Emelie Engström +2

The continuous inflow of bug reports is a considerable challenge in large development projects. Inspired by contemporary work on mining software repositories, we designed a prototy…

cs.LG202216 cited

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

Jens Henriksson, Christian Berger, Markus Borg +3

Several areas have been improved with Deep Learning during the past years. Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achieve…

cs.SE20224 cited

Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications

Qunying Song, Markus Borg, Emelie Engström +2

There is a growing interest in industry and academia in machine learning (ML) testing. We believe that industry and academia need to learn together to produce rigorous and relevant…

cs.SE2022

Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice

Markus Borg, Johan Bengtsson, Harald Österling +3

Due to the migration megatrend, efficient and effective second-language acquisition is vital. One proposed solution involves AI-enabled conversational agents for person-centered in…