Patrick Mäder

Patrick Maeder , Ilka Philippow , Matthias Riebisch
Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007) 2 507 -511

2007

A Machine Learning Approach for Detecting Ultrasonic Echoes in Noisy Environments

Mohamed-Elamir Mohamed , Heinrich Gotzig , Raoul Zoellner , Patrick Maeder
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) 1 -6

2019

Evaluation of design pattern recovery tools

Ghulam Rasool , Patrick Maeder , Ilka Philippow
Procedia Computer Science 3 813 -819

2011

Trace queries for safety requirements in high assurance systems

Jane Cleland-Huang , Mats Heimdahl , Jane Huffman Hayes , Robyn Lutz
requirements engineering foundation for software quality 179 -193

2012

Grand challenges, benchmarks, and TraceLab: developing infrastructure for the software traceability research community

Jane Cleland-Huang , Youghee Shin , Andrea Zisman , Giuliano Antoniol
Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering 17 -23

2011

A convolution neural network based machine learning approach for ultrasonic noise suppression with minimal distortion

Mohamed Elamir Mohamed , Heinrich Gotzig , Raoul Zoellner , Patrick Maeder
internaltional ultrasonics symposium

2019

Stickypillars: Robust and efficient feature matching on point clouds using graph neural networks

Martin Simon , Kai Fischer , Stefan Milz , Christian Witt
arXiv e-prints arXiv: 2002.03983 -arXiv: 2002.03983

2020

Joint Proceedings of REFSQ-2017 Workshops, Doctoral Symposium, ResearchMethod Track, and Poster Track co-located with the 22nd InternationalConference on Requirements Engineering: Foundation for Software Quality(REFSQ 2017), Essen, Germany, February 27, 2017

Eric Knauss , Angelo Susi , David Ameller , Daniel M Berry
CEUR-WS.org 1796

2017

Traceability for Managing Evolutionary Change.

Patrick Maeder , Matthias Riebisch , Ilka Philippow
SEDE 1 -8

2006

Limoseg: Real-time bird's eye view based lidar motion segmentation

Sambit Mohapatra , Mona Hodaei , Senthil Yogamani , Stefan Milz
arXiv preprint arXiv:2111.04875

2021

Ain’t got time for this? Reducing manual evaluation effort with Machine Learning based Grouping of Analog Waveform Test Data

Tom Reinhold , Marco Seeland , Martin Grabmann , Christian Paintz
ANALOG 2020; 17th ITG/GMM-Symposium 1 -6

2020

ToolNet–Domain and Tool Connector

M Monteiro , Patrick Maeder
Proceedings of the International Symposium on Grand Challenges in Traceability (GCT'07) 22 23 -23

2007

Trash or Treasure? Machine-learning based PCB layout anomaly detection with AnoPCB

Henning Franke , Paul Kucera , Julian Kuners , Tom Reinhold
SMACD/PRIME 2021; International Conference on SMACD and 16th Conference on PRIME 1 -4

2021

SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving

Sambit Mohapatra , Thomas Mesquida , Mona Hodaei , Senthil Yogamani
2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) 1 -5

2022

Improved Ultrasonic Sensing Using Machine Learning

Heinrich Gotzig , Mohamed-Elamir Mohamed , Raoul Zoellner , Patrick Maeder
AmE 2022-Automotive meets Electronics; 13. GMM-Symposium 1 -2

2022

An Application-Driven Procedure for Optimal Signal Digitization of Automotive-Grade Ultrasonic Sensors

Mohamed Shawki Elamir , Heinrich Gotzig , Raoul Zoellner , Patrick Maeder
International Journal of Mechanical and Mechatronics Engineering 16 ( 8) 202 -205

2022

A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors

Mohamed Shawki Elamir , Heinrich Gotzig , Raoul Zoellner , Patrick Maeder
arXiv e-prints arXiv: 2202.12684 -arXiv: 2202.12684

2022

Enhanced Traceability for the Unified Process

Patrick Maeder , Ilka Philippow , Matthias Riebisch