Patrick Mäder

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 75

Top Venues

CoRR

Empir. Softw. Eng.

Softwaretechnik-Trends

IEEE Trans. Software Eng.

Technische Universität Ilmenau, Germany (PHD)

Education History

Technische Universität Ilmenau, Germany

PHD

Publications

Johannes Viehweg, Dominik Walther, Patrick Mäder
Temporal Convolution Derived Multi-Layered Reservoir Computing. CoRR (2024)
Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder
MagneticPillars: Efficient Point Cloud Registration through Hierarchized Birds-Eye-View Cell Correspondence Refinement. WACV (2024)
Marius Schlegel, Daniel Scheliga, Kai-Uwe Sattler, Marco Seeland, Patrick Mäder
Collaboration Management for Federated Learning. ICDEW (2024)
Mihaela Todorova Tomova, Martin Hofmann, Constantin Hütterer, Patrick Mäder
Assessing the utility of text-to-SQL approaches for satisfying software developer information needs. Empir. Softw. Eng. 29 (1) (2024)
Dominik Walther, Johannes Viehweg, Jens Haueisen, Patrick Mäder
A systematic comparison of deep learning methods for EEG time series analysis. Frontiers Neuroinformatics 17 (2023)
Daniel Scheliga, Patrick Mäder, Marco Seeland
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks. CoRR (2023)
Mario Janke, Patrick Mäder
${\text{FS}^{3}}_{\text{change}}$FS3change: A Scalable Method for Change Pattern Mining. IEEE Trans. Software Eng. 49 (6) (2023)
Sambit Mohapatra, Senthil Kumar Yogamani, Varun Ravi Kumar, Stefan Milz, Heinrich Gotzig, Patrick Mäder
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving. CoRR (2023)
Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder
A Static Analysis Platform for Investigating Security Trends in Repositories. SVM (2023)
Johannes Viehweg, Karl Worthmann, Patrick Mäder
Parameterizing echo state networks for multi-step time series prediction. Neurocomputing 522 (2023)
Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Lynn von Kurnatowski, Andreas Schreiber, Thomas S. Heinze, Patrick Mäder
A Static Analysis Platform for Investigating Security Trends in Repositories. CoRR (2023)
Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder
StickyLocalization: Robust End-To-End Relocalization on Point Clouds using Graph Neural Networks. WACV (2022)
Daniel Scheliga, Patrick Mäder, Marco Seeland
Combining Variational Modeling with Partial Gradient Perturbation to Prevent Deep Gradient Leakage. CoRR (2022)
Daniel Scheliga, Patrick Mäder, Marco Seeland
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. WACV (2022)
Philipp Teutsch, Patrick Mäder
Flipped Classroom: Effective Teaching for Time Series Forecasting. Trans. Mach. Learn. Res. 2022 (2022)
Hui Gao, Hongyu Kuang, Kexin Sun, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, He Zhang
Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. CoRR (2022)
Sandeep Pandey, Philipp Teutsch, Patrick Mäder, Jörg Schumacher
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection. CoRR (2022)
Johan Linåker, Patrick Rempel, Björn Regnell, Patrick Mäder
How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns. CoRR (2022)
Martin Hofmann, Patrick Mäder
Synaptic Scaling - An Artificial Neural Network Regularization Inspired by Nature. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Hui Gao, Hongyu Kuang, Xiaoxing Ma, Hao Hu, Jian Lü, Patrick Mäder, Alexander Egyed
Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery. Empir. Softw. Eng. 27 (2) (2022)
Daniel Scheliga, Patrick Mäder, Marco Seeland
Dropout is NOT All You Need to Prevent Gradient Leakage. CoRR (2022)
Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Mäder
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. CoRR (2022)
Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder
Generalizability of Code Clone Detection on CodeBERT. ASE (2022)
Mario Janke, Patrick Mäder
Graph Based Mining of Code Change Patterns From Version Control Commits. IEEE Trans. Software Eng. 48 (3) (2022)
Hui Gao, Hongyu Kuang, Kexin Sun, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, He Zhang
Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. ASE (2022)
Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder
Generalizability of Code Clone Detection on CodeBERT. CoRR (2022)
Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder
Deep security analysis of program code. Empir. Softw. Eng. 27 (1) (2022)
Philipp Teutsch, Patrick Mäder
Flipped Classroom: Effective Teaching for Time Series Forecasting. CoRR (2022)
Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. CoRR (2021)
Martin Rabe, Stefan Milz, Patrick Mäder
Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey. CVPR Workshops (2021)
Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Mäder
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. WACV (2021)
Sambit Mohapatra, Senthil Kumar Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mäder
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. CoRR (2021)
Sambit Mohapatra, Senthil Kumar Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mäder
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. ITSC (2021)
Varun Ravi Kumar, Senthil Kumar Yogamani, Stefan Milz, Patrick Mäder
FisheyeDistanceNet++: Self-Supervised Fisheye Distance Estimation with Self-Attention, Robust Loss Function and Camera View Generalization. Autonomous Vehicles and Machines (2021)
Daniel Scheliga, Patrick Mäder, Marco Seeland
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. CoRR (2021)
Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder
OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving. IEEE Robotics Autom. Lett. 6 (2) (2021)
Patrick Mäder, Tobias Kuschke, Mario Janke
Reactive Auto-Completion of Modeling Activities. IEEE Trans. Software Eng. 47 (7) (2021)
Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving. CoRR (2021)
Kai Fischer, Martin Simon, Florian Ölsner, Stefan Milz, Horst-Michael Gross, Patrick Mäder
StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks. CVPR (2021)
Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder
Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode. Softwaretechnik-Trends 40 (2) (2020)
Michael Rath, Mihaela Todorova Tomova, Patrick Mäder
SpojitR: Intelligently Link Development Artifacts. SANER (2020)
David Boho, Michael Rzanny, Jana Wäldchen, Fabian Nitsche, Alice Deggelmann, Hans Christian Wittich, Marco Seeland, Patrick Mäder
Flora Capture: a citizen science application for collecting structured plant observations. BMC Bioinform. 21 (1) (2020)
Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. IROS (2020)
Michael Rath, Patrick Mäder
Request for comments: conversation patterns in issue tracking systems of open-source projects. SAC (2020)
Varun Ravi Kumar, Sandesh Athni Hiremath, Markus Bach, Stefan Milz, Christian Witt, Clément Pinard, Senthil Kumar Yogamani, Patrick Mäder
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. ICRA (2020)
Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. CoRR (2020)
Varun Ravi Kumar, Sandesh Athni Hiremath, Stefan Milz, Christian Witt, Clément Pinard, Senthil Kumar Yogamani, Patrick Mäder
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. CoRR (2019)
Martin Hofmann, Marco Seeland, Patrick Mäder
Efficiently Annotating Object Images with Absolute Size Information Using Mobile Devices. Int. J. Comput. Vis. 127 (2) (2019)
Michael Rath, Patrick Mäder
Structured information in bug report descriptions - influence on IR-based bug localization and developers. Softw. Qual. J. 27 (3) (2019)
Michael Rath, Mihaela Todorova Tomova, Patrick Mäder
Selecting Open Source Projects for Traceability Case Studies. REFSQ (2019)
Paola Spoletini, Patrick Mäder
Preface. REFSQ Workshops (2019)
Marco Seeland, Michael Rzanny, David Boho, Jana Wäldchen, Patrick Mäder
Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinform. 20 (1) (2019)
Hongyu Kuang, Hui Gao, Hao Hu, Xiaoxing Ma, Jian Lu, Patrick Mäder, Alexander Egyed
Using frugal user feedback with closeness analysis on code to improve IR-based traceability recovery. ICPC (2019)
Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. SE/SWM (2019)
Hans Christian Wittich, Marco Seeland, Jana Wäldchen, Michael Rzanny, Patrick Mäder
Recommending plant taxa for supporting on-site species identification. BMC Bioinform. 19 (1) (2018)
Rohan Krishnamurthy, Michael Meinel, Carina Haupt, Andreas Schreiber, Patrick Mäder
DLR secure software engineering: position and vision paper. SEAD@ICSE (2018)
Michael Rath, David Lo, Patrick Mäder
Analyzing requirements and traceability information to improve bug localization. MSR (2018)
Jana Wäldchen, Michael Rzanny, Marco Seeland, Patrick Mäder
Automated plant species identification - Trends and future directions. PLoS Comput. Biol. 14 (4) (2018)
Maksim Goman, Michael Rath, Patrick Mäder
Lessons Learned from Analyzing Requirements Traceability using a Graph Database. Softwaretechnik-Trends 38 (1) (2018)
Mihaela Todorova Tomova, Michael Rath, Patrick Mäder
Use of trace link types in issue tracking systems. ICSE (Companion Volume) (2018)
Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder
Traceability in the wild: automatically augmenting incomplete trace links. ICSE (2018)
Michael Rath, Patrick Mäder
Influence of Structured Information in Bug Report Descriptions on IR-Based Bug Localization. SEAA (2018)
Michael Rath, Maksim Goman, Patrick Mäder
State of the Art of Traceability in Open-Source Projects. Softwaretechnik-Trends 38 (1) (2018)
Mihaela Todorova Tomova, Michael Rath, Patrick Mäder
Preprocessing Texts in Issue Tracking Systems to improve IR Techniques for Trace Creation. Softwaretechnik-Trends 38 (1) (2018)
Patrick Mäder, Rocco Oliveto, Andrian Marcus
Empirical studies in software and systems traceability. Empir. Softw. Eng. 22 (3) (2017)
Patrick Rempel, Patrick Mäder
Preventing Defects: The Impact of Requirements Traceability Completeness on Software Quality. IEEE Trans. Software Eng. 43 (8) (2017)
Tobias Kuschke, Patrick Mäder
RapMOD - in situ auto-completion for graphical models: poster. ICSE (Companion Volume) (2017)
Hongyu Kuang, Jia Nie, Hao Hu, Patrick Rempel, Jian Lu, Alexander Egyed, Patrick Mäder
Analyzing closeness of code dependencies for improving IR-based Traceability Recovery. SANER (2017)
Michael Rath, David Akehurst, Christoph Borowski, Patrick Mäder
Are Graph Query Languages Applicable for Requirements Traceability Analysis? REFSQ Workshops (2017)
Michael Rath, Patrick Rempel, Patrick Mäder
The IlmSeven Dataset. RE (2017)
Patrick Mäder, Alexander Egyed
Do developers benefit from requirements traceability when evolving and maintaining a software system? Software Engineering (2016)
Patrick Rempel, Patrick Mäder
Continuous assessment of software traceability. ICSE (Companion Volume) (2016)
Patrick Rempel, Patrick Mäder
A quality model for the systematic assessment of requirements traceability. Software Engineering (2016)
Johan Linåker, Patrick Rempel, Björn Regnell, Patrick Mäder
How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns. REFSQ (2016)
Patrick Mäder, Jane Cleland-Huang
From Raw Project Data to Business Intelligence. IEEE Softw. 32 (4) (2015)
Patrick Rempel, Patrick Mäder
Estimating the Implementation Risk of Requirements in Agile Software Development Projects with Traceability Metrics. REFSQ (2015)
Patrick Mäder, Alexander Egyed
Do developers benefit from requirements traceability when evolving and maintaining a software system? Empir. Softw. Eng. 20 (2) (2015)
Hongyu Kuang, Patrick Mäder, Hao Hu, Achraf Ghabi, LiGuo Huang, Jian Lü, Alexander Egyed
Can method data dependencies support the assessment of traceability between requirements and source code? J. Softw. Evol. Process. 27 (11) (2015)
Patrick Rempel, Patrick Mäder, Tobias Kuschke, Jane Cleland-Huang
Traceability Gap Analysis for Assessing the Conformance of Software Traceability to Relevant Guidelines. Software Engineering & Management (2015)
Patrick Rempel, Patrick Mäder
A quality model for the systematic assessment of requirements traceability. RE (2015)
Jane Cleland-Huang, Sanjai Rayadurgam, Patrick Mäder, Wilhelm Schäfer
Software and Systems Traceability for Safety-Critical Projects (Dagstuhl Seminar 15162). Dagstuhl Reports 5 (4) (2015)
Sugandha Lohar, Jane Cleland-Huang, Alexander Rasin, Patrick Mäder
Live Study Proposal: Collecting Natural Language Trace Queries. REFSQ Workshops (2015)
Jane Cleland-Huang, Mona Rahimi, Patrick Mäder
Achieving lightweight trustworthy traceability. SIGSOFT FSE (2014)
Jane Cleland-Huang, Orlena Gotel, Jane Huffman Hayes, Patrick Mäder, Andrea Zisman
Software traceability: trends and future directions. FOSE (2014)
Tobias Kuschke, Patrick Mäder
Pattern-based auto-completion of UML modeling activities. ASE (2014)
Patrick Rempel, Patrick Mäder, Tobias Kuschke, Jane Cleland-Huang
Mind the gap: assessing the conformance of software traceability to relevant guidelines. ICSE (2014)
Patrick Mäder, Paul L. Jones, Yi Zhang, Jane Cleland-Huang
Strategic Traceability for Safety-Critical Projects. IEEE Softw. 30 (3) (2013)
Patrick Mäder
Interactive Traceability Querying and Visualization for Coping With Development Complexity CoRR (2013)
Tobias Kuschke, Patrick Mäder, Patrick Rempel
Recommending Auto-completions for Software Modeling Activities. MoDELS (2013)
Patrick Rempel, Patrick Mäder, Tobias Kuschke
Towards feature-aware retrieval of refinement traces. TEFSE@ICSE (2013)
Patrick Rempel, Patrick Mäder, Tobias Kuschke, Ilka Philippow
Requirements Traceability across Organizational Boundaries - A Survey and Taxonomy. REFSQ (2013)
Patrick Mäder, Jane Cleland-Huang
A visual language for modeling and executing traceability queries. Softw. Syst. Model. 12 (3) (2013)
Mehdi Mirakhorli, Julia Carvalho, Jane Cleland-Huang, Patrick Mäder
A domain-centric approach for recommending architectural tactics to satisfy quality concerns. TwinPeaks@RE (2013)
Patrick Rempel, Patrick Mäder, Tobias Kuschke
An empirical study on project-specific traceability strategies. RE (2013)
Elke Bouillon, Patrick Mäder, Ilka Philippow
A Survey on Usage Scenarios for Requirements Traceability in Practice. REFSQ (2013)
Patrick Mäder, Alexander Egyed
Assessing the effect of requirements traceability for software maintenance. ICSM (2012)
Jane Cleland-Huang, Patrick Mäder, Mehdi Mirakhorli, Sorawit Amornborvornwong
Breaking the big-bang practice of traceability: Pushing timely trace recommendations to project stakeholders. RE (2012)
Mehdi Mirakhorli, Patrick Mäder, Jane Cleland-Huang
Variability points and design pattern usage in architectural tactics. SIGSOFT FSE (2012)
Hongyu Kuang, Patrick Mäder, Hao Hu, Achraf Ghabi, LiGuo Huang, Jian Lv, Alexander Egyed
Do data dependencies in source code complement call dependencies for understanding requirements traceability? ICSM (2012)

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Publication Activity (10 Years)

Top Topics

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Patrick Mäder