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Publication search results
found 202 matches
- 2024
- Simon Ecke
, Florian Stehr, Julian Frey, Dirk Tiede
, Jan Dempewolf, Hans-Joachim Klemmt, Ewald Endres, Thomas Seifert
:
Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning. Comput. Electron. Agric. 219: 108785 (2024) - Rodion Novkin
, Florian Klemme
, Hussam Amrouch
:
Approximation- and Quantization-Aware Training for Graph Neural Networks. IEEE Trans. Computers 73(2): 599-612 (2024) - Anne Grohnert, Michael John, Benny Häusler, Christian Giertz, Mirko Wolschke, Jana Liebach, Rona Reibis, Anne Klemmer, Lisa Konrad, Silke Kollath, Jan C. Zoellick:
Quantified Health: A Feasibility Study on a Sensor-Based Feedback and Assistance System in Cardiology, Oncology and Orthopaedics. BIOSTEC (2) 2024: 628-637 - Hanieh Jafarzadeh, Florian Klemme, Hussam Amrouch, Sybille Hellebrand, Hans-Joachim Wunderlich:
Time and Space Optimized Storage-based BIST under Multiple Voltages and Variations. ETS 2024: 1-6 - Mayank Mittal, Nikita Rudin, Victor Klemm, Arthur Allshire, Marco Hutter:
Symmetry Considerations for Learning Task Symmetric Robot Policies. ICRA 2024: 7433-7439 - Hussam Amrouch, Victor M. van Santen, Javier Diaz-Fortuny
, Florian Klemme:
Machine Learning Unleashes Aging and Self-Heating Effects: From Transistors to Full Processor (Invited Paper). IRPS 2024: 1-8 - Anirban Kar, Florian Klemme, Yogesh Singh Chauhan, Hussam Amrouch:
On the Severity of Self-Heating in FDSOI at Cryogenic Temperatures: In-depth Analysis from Transistors to Full Processor. IRPS 2024: 1-6 - Hanieh Jafarzadeh, Florian Klemme, Hussam Amrouch, Sybille Hellebrand, Hans-Joachim Wunderlich:
Vmin Testing under Variations: Defect vs. Fault Coverage. LATS 2024: 1-6 - Dominik Wermke, Jan H. Klemmer, Noah Wöhler, Juliane Schmüser, Harshini Sri Ramulu, Yasemin Acar, Sascha Fahl:
Always Contribute Back: A Qualitative Study on Security Challenges of the Open Source Supply Chain. Software Engineering 2024: 139-140 - Dominik Wermke, Noah Wöhler, Jan H. Klemmer, Marcel Fourné, Yasemin Acar, Sascha Fahl:
Committed to Trust: A Qualitative Study on Security and Trust in Open Source Software Projects. Software Engineering 2024: 141-142 - Nicolas Huaman, Jacques Suray, Jan H. Klemmer, Marcel Fourné, Sabrina Amft, Ivana Trummová, Yasemin Acar, Sascha Fahl:
"You have to read 50 different RFCs that contradict each other": An Interview Study on the Experiences of Implementing Cryptographic Standards. USENIX Security Symposium 2024 - Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner:
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR abs/2402.01444 (2024) - Mayank Mittal, Nikita Rudin, Victor Klemm, Arthur Allshire, Marco Hutter:
Symmetry Considerations for Learning Task Symmetric Robot Policies. CoRR abs/2403.04359 (2024) - Sven Ochs, Jens Doll, Marc Heinrich, Philip Schörner, Sebastian Klemm, Marc René Zofka, J. Marius Zöllner:
Leveraging Swarm Intelligence to Drive Autonomously: A Particle Swarm Optimization based Approach to Motion Planning. CoRR abs/2404.02644 (2024) - Clemens Schwarke, Victor Klemm, Jesus Tordesillas, Jean-Pierre Sleiman, Marco Hutter:
Learning Quadrupedal Locomotion via Differentiable Simulation. CoRR abs/2404.02887 (2024) - Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel:
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. CoRR abs/2404.04258 (2024) - Jan H. Klemmer, Stefan Albert Horstmann
, Nikhil Patnaik, Cordelia Ludden, Cordell Burton Jr., Carson Powers, Fabio Massacci, Akond Rahman
, Daniel Votipka, Heather Richter Lipford, Awais Rashid, Alena Naiakshina, Sascha Fahl:
Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns. CoRR abs/2405.06371 (2024) - Jacques Suray, Jan H. Klemmer, Juliane Schmüser, Sascha Fahl:
How the Future Works at SOUPS: Analyzing Future Work Statements and Their Impact on Usable Security and Privacy Research. CoRR abs/2405.20785 (2024) - 2023
- Shima Hosseinzadeh, Marius Klemm, Georg Fischer
, Dietmar Fey:
Optimizing multi-level ReRAM memory for low latency and low energy consumption. it Inf. Technol. 65(1-2): 52-64 (2023) - Peter Hofinger
, Hans-Joachim Klemmt, Simon Ecke
, Steffen Rogg, Jan Dempewolf
:
Application of YOLOv5 for Point Label Based Object Detection of Black Pine Trees with Vitality Losses in UAV Data. Remote. Sens. 15(8): 1964 (2023) - Florian Klemme
, Hussam Amrouch
:
Transistor Self-Heating-Aware Synthesis for Reliable Digital Circuit Designs. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 5366-5379 (2023) - Hussam Amrouch, Florian Klemme:
ML to the Rescue: Reliability Estimation from Self-Heating and Aging in Transistors All the Way up Processors. ASP-DAC 2023: 76-82 - Jan H. Klemmer
, Marco Gutfleisch
, Christian Stransky
, Yasemin Acar
, M. Angela Sasse
, Sascha Fahl
:
"Make Them Change it Every Week!": A Qualitative Exploration of Online Developer Advice on Usable and Secure Authentication. CCS 2023: 2740-2754 - Katja Klemm
, Hannah Kron
, Alexander Woll
, Klaus Bös
, Claudia Niessner:
Opportunities and Limits of a Disciplinary Repository Using the Example MO|RE data (eResearch Infrastructure for Motor Research Data). CoRDI 2023 - Clemens Schwarke, Victor Klemm, Matthijs van der Boon, Marko Bjelonic, Marco Hutter:
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks. CoRL 2023: 2594-2610 - Victor M. van Santen, Marcel Walter
, Florian Klemme, Shivendra Singh Parihar, Girish Pahwa, Yogesh Singh Chauhan, Robert Wille, Hussam Amrouch:
Design Automation for Cryogenic CMOS Circuits. DAC 2023: 1-6 - Florian Klemme, Sami Salamin, Hussam Amrouch:
Upheaving Self-Heating Effects from Transistor to Circuit Level using Conventional EDA Tool Flows. DATE 2023: 1-6 - Zahra Paria Najafi-Haghi, Florian Klemme, Hanieh Jafarzadeh, Hussam Amrouch, Hans-Joachim Wunderlich:
Robust Resistive Open Defect Identification Using Machine Learning with Efficient Feature Selection. DATE 2023: 1-2 - Behnaz Ranjbar
, Florian Klemme, Paul R. Genssler, Hussam Amrouch, Jinhyo Jung, Shail Dave, Hwisoo So, Kyongwoo Lee, Aviral Shrivastava, Ji-Yung Lin, Pieter Weckx, Subrat Mishra, Francky Catthoor, Dwaipayan Biswas
, Akash Kumar
:
Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. DATE 2023: 1-10 - Victor M. van Santen, Florian Klemme, Paul R. Genssler, Hussam Amrouch:
Challenges in Machine Learning Techniques to Estimate Reliability from Transistors to Circuits. DFT 2023: 1-6
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