45 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Local Initiatives Support CorporationUS6 papers
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR5 papers
- AIT Austrian Institute of Technology GmbHAT3 papers
- Fraunhofer Institute for Experimental Software EngineeringDE3 papers
- Université Paris-SaclayFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Graz University of TechnologyAT2 papers
- Laboratoire d'Intégration des Systèmes et des TechnologiesFR2 papers
- Siemens (Germany)DE2 papers
- Subsea Technologies (United Kingdom)GB2 papers
- University of HullGB2 papers
- Virtual Vehicle Research GmbH (Austria)AT2 papers
25 papers
Sparse Coverage: Semantic Center Representations for Patent Prior-Art Retrieval
You Zuo, Kim Gerdes, Éric de la Clergerie +1
Patent prior-art retrieval is a recall-oriented search task over long and highly structured technical documents. Dense retrieval improves semantic matching, but single-vector repre…
The Grammar Does the Work: Functional vs. Lexical Dependency Length Minimization Across Universal Dependencies
Kim Gerdes
Dependency length minimization (DLM) is a well-documented processing universal, but previous studies report a single mean dependency distance (MDD) per language, obscuring variatio…
Citation-Driven Multi-View Training for Patent Embeddings: QaECTER and Sophia-Bench
Younes Djemmal, You Zuo, Kim Gerdes +1
Patent retrieval underpins critical decisions in innovation, examination, and IP strategy, yet progress has been hampered by the absence of benchmarks that reflect the diversity of…
Digital twin-based hybrid framework for steam generator clogging prognostics
Edgar Jaber, Emmanuel Remy, Vincent Chabridon +5
We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reacto…
The Environmental Impacts of Language Model Training Keep Rising Now is the Time to Catch Impacts on the Rebound
Clément Morand, Anne-Laure Ligozat, Aurélie Névéol
Recent Machine Learning (ML) approaches have shown increased performance on benchmarks at the cost of escalating compute demands. Hardware, algorithmic and carbon optimizations hav…
Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation
Franz Thaler, Darko Stern, Gernot Plank +1
As the leading cause of death worldwide, cardiovascular diseases motivate the development of more sophisticated methods to analyze the heart and its substructures from medical imag…
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
Clément Morand, Anne-Laure Ligozat, Aurélie Névéol
The compute requirements associated with training Artificial Intelligence (AI) models have increased exponentially over time. Optimisation strategies aim to reduce the energy consu…
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics
Théo Gigant, Camille Guinaudeau, Marc Decombas +1
Automatic metrics are used as proxies to evaluate abstractive summarization systems when human annotations are too expensive. To be useful, these metrics should be fine-grained, sh…
The Kinetics Observer: A Tightly Coupled Estimator for Legged Robots
Arnaud Demont, Mehdi Benallegue, Abdelaziz Benallegue +5
This paper presents the Kinetics Observer, a novel proprioceptive state estimator for legged robots designed to provide the feedback required for versatile locomotion and physical…
Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators
Edgar Jaber, Vincent Chabridon, Emmanuel Remy +4
Long-term operation of nuclear steam generators can result in the occurrence of clogging, a deposition phenomenon that may increase the risk of mechanical and vibration loadings on…
A Systematic Approach to Automotive Security
Masoud Ebrahimi, Stefan Marksteiner, Dejan Ničković +8
We propose a holistic methodology for designing automotivesystems that consider security a central concern at every design stage.During the concept design, we model the system arch…
State of the Art Study of the Safety Argumentation Frameworks for Automated Driving System Safety
Ilona Cieslik, Víctor J. Expósito Jiménez, Helmut Martin +2
The automotive industry is experiencing a transition from assisted to highly automated driving. New concepts for validation of Automated Driving System (ADS) include amongst other…
An Agnostic Domain Specific Language for Implementing Attacks in an Automotive Use Case
Christian Wolschke, Stefan Marksteiner, Tobias Braun +1
This paper presents a Domain Specific Language (DSL) for generically describing cyber attacks, agnostic to specific system-under-test(SUT). The creation of the presented DSL is mot…
Critical ride comfort detection for automated vehicles
Alexander Genser, Roland Spielhofer, Philippe Nitsche +1
In a future connected vehicle environment, an optimized route and motion planning should not only fulfill efficiency and safety constraints but also minimize vehicle motions and os…
Using Cyber Digital Twins for Automated Automotive Cybersecurity Testing
Stefan Marksteiner, Slava Bronfman, Markus Wolf +1
Cybersecurity testing of automotive systems has become a practical necessity, with the wide adoption of advanced driving assistance functions and vehicular communications. These fu…
A Model-Driven Methodology for Automotive Cybersecurity Test Case Generation
Stefan Marksteiner, Peter Priller
Through international regulations (most prominently the latest UNECE regulation) and standards, the already widely perceived higher need for cybersecurity in automotive systems has…
SaSeVAL: A Safety/Security-Aware Approach for Validation of Safety-Critical Systems
Christian Wolschke, Behrooz Sangchoolie, Jacob Simon +3
Increasing communication and self-driving capabilities for road vehicles lead to threats imposed by attackers. Especially attacks leading to safety violations have to be identified…
DEIS: Dependability Engineering Innovation for Industrial CPS
Erik Armengaud, Georg Macher, Alexander Massoner +15
The open and cooperative nature of Cyber-Physical Systems (CPS) poses new challenges in assuring dependability. The DEIS project (Dependability Engineering Innovation for automotiv…
WAP: Digital Dependability Identities
Daniel Schneider, Mario Trapp, Yiannis Papadopoulos +3
Cyber-Physical Systems (CPS) provide enormous potential for innovation but a precondition for this is that the issue of dependability has been addressed. This paper presents the co…
A Process to Facilitate Automated Automotive Cybersecurity Testing
Stefan Marksteiner, Nadja Marko, Andre Smulders +6
Modern vehicles become increasingly digitalized with advanced information technology-based solutions like advanced driving assistance systems and vehicle-to-x communications. These…
A New Approach for Explainable Multiple Organ Annotation with Few Data
Régis Pierrard, Jean-Philippe Poli, Céline Hudelot
Despite the recent successes of deep learning, such models are still far from some human abilities like learning from few examples, reasoning and explaining decisions. In this pape…
Integrating Threat Modeling and Automated Test Case Generation into Industrialized Software Security Testing
Stefan Marksteiner, Rudolf Ramler, Hannes Sochor
Industrial Internet of Things (IIoT) application provide a whole new set of possibilities to drive efficiency of industrial production forward. However, with the higher degree of i…
Approaching the Automation of Cyber Security Testing of Connected Vehicles
Stefan Marksteiner, Zhendong Ma
The advancing digitalization of vehicles and automotive systems bears many advantages for creating and enhancing comfort and safety-related systems ranging from drive-by-wire, incl…
Requirements and Recommendations for IoT/IIoT Models to automate Security Assurance through Threat Modelling, Security Analysis and Penetration Testing
Ralph Ankele, Stefan Marksteiner, Kai Nahrgang +1
The factories of the future require efficient interconnection of their physical machines into the cyber space to cope with the emerging need of an increased uptime of machines, hig…