Export list as BibTeX file

2022

• 2022 Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation Peter Bludau and Alexander Pretschner In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, pages 22-31, Association for Computing Machinery. Details DOI BIB
• 2022 Laplace Approximation for Real-time Uncertainty Estimation in Object Detection Ming Gui, Tianming Qiu, Fridolin Bauer and Hao Shen 25th IEEE International Conference on Intelligent Transportation Systems (ITSC), ():, 2022. Details BIB
• 2022 Only Time Will Tell: Modelling Information Diffusion in Code Review with Time-Varying Hypergraphs Michael Dorner, Darja Smite, Daniel Mendez, Krzysztof Wnuk and Jacek Czerwonka volume , , , edition, 2022. , IEEE. Details BIB
• 2022 PR-SZZ: How pull requests can support the tracing of defects in software repositories Peter Bludau and Alexander Pretschner In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pages 1-12, IEEE Computer Society. Details DOI BIB
• 2022 SViT: Hybrid Vision Transformer Models with Scattering Transform Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao and Hao Shen 32nd IEEE International Workshop on Machine Learning for Signal Processing (MLSP), ():, 2022. Details BIB
• 2022 Towards Cost-benefit Evaluation for Continuous Software Engineering Activities Eriks Klotins and Tony Gorschek Empirical Software Engineering, ():, 2022. Details BIB
• 2022 Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance Oleksandra Klymenko, Stephan Meisenbacher, Oleksandr Kosenkov, Parisa Elahidoost, Daniel Mendez and Florian Matthes volume , , , edition, 2022. , IEEE. Details BIB
• 2022 Work-From-Home is Here to Stay: Call for Flexibility in Post-Pandemic Work Policies Darja Smite, Daniel Mendez, Javier Gonzalez-Huerta, Nils Brede Moe and Jarle Hildrum Journal of Systems and Software, ():, 2022. Details URL DOI BIB

2021

• December 2021 Laplace Approximation with Diagonalized Hessian for Over-parameterized Neural Networks Ming Gui, Ziqing Zhao, Tianming Qiu and Hao Shen NeurIPS 2021, Bayesian Deep Learning Workshop(36):, December 2021. Details URL BIB
• December 2021 ML-based Data Classification and Data Aggregation on the Edge Erkan Karabulut, Nisrine Bnouhanna and Rute C. Sofia In CoNEXT-SW '21: Proceedings of the CoNEXT Student Wokshop, pages 21-22, ACM. Details URL DOI BIB