DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. - Marco Maier; Chadly Marouane; Daniel Elsner (AAMAS, 2019)

Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications. - Daniel Elsner; Pouya Aleatrati Khosroshahi; Alan D. MacCormack; Robert Lagerström (HICSS, 2019)

DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. - Marco Maier; Daniel Elsner; Chadly Marouane; Meike Zehnle; Christoph Fuchs (IJCAI, 2019)

Deep Neural Baselines for Computational Paralinguistics. - Daniel Elsner; Stefan Langer; Fabian Ritz; Robert Müller 005; Steffen Illium (INTERSPEECH, 2019)

Empirically evaluating readily available information for regression test optimization in continuous integration. - Daniel Elsner; Florian Hauer 002; Alexander Pretschner; Silke Reimer (ISSTA, 2021)

How can manual testing processes be optimized? developer survey, optimization guidelines, and case studies. - Roman Haas; Daniel Elsner; Elmar Jürgens; Alexander Pretschner; Sven Apel (ESEC/SIGSOFT FSE, 2021)

Challenges in Regression Test Selection for End-to-End Testing of Microservice-based Software Systems. - Daniel Elsner; Daniel Bertagnolli; Alexander Pretschner; Rudi Klaus (AST@ICSE, 2022)

Probe-based Syscall Tracing for Efficient and Practical File-level Test Traces. - Daniel Elsner; Roland Wuersching; Markus Schnappinger; Alexander Pretschner (AST@ICSE, 2022)

Build System Aware Multi-language Regression Test Selection in Continuous Integration. - Daniel Elsner; Roland Wuersching; Markus Schnappinger; Alexander Pretschner; Maria Graber; René Dammer; Silke Reimer (ICSE (SEIP), 2022)

FuzzTastic: A Fine-grained, Fuzzer-agnostic Coverage Analyzer. - Stephan Lipp; Daniel Elsner; Thomas Hutzelmann; Sebastian Banescu; Alexander Pretschner; Marcel Böhme (ICSE-Companion, 2022)

How to Be Non-Assertive in the 'Assertive Edition': Encoding Doubt in the Auden Musulin Papers. - Massimiliano Carloni; Daniel Elsner; Timo Frühwirth; Dimitra Grigoriou; Sandra Mayer (DH, 2023)

BinaryRTS: Cross-language Regression Test Selection for C++ Binaries in CI. - Daniel Elsner; Severin Kacianka; Stephan Lipp; Alexander Pretschner; Axel Habermann; Maria Graber; Silke Reimer (ICST, 2023)

DIRTS: Dependency Injection Aware Regression Test Selection. - Simon Hundsdorfer; Daniel Elsner; Alexander Pretschner (ICST, 2023)

Severity-Aware Prioritization of System-Level Regression Tests in Automotive Software. - Roland Wuersching; Daniel Elsner; Fabian Leinen; Alexander Pretschner; Georg Grueneissl; Thomas Neumeyr; Tobias Vosseler (ICST, 2023)

Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction. - Stephan Lipp; Daniel Elsner; Severin Kacianka; Alexander Pretschner; Marcel Böhme; Sebastian Banescu (ISSTA, 2023)

Integrating System and Process Characteristics into Regression Test Optimization. - Daniel Elsner (2023)

Cost of Flaky Tests in Continuous Integration: An Industrial Case Study. - Fabian Leinen; Daniel Elsner; Alexander Pretschner; Andreas Stahlbauer; Michael Sailer; Elmar Jürgens (ICST, 2024)