Publikationen 2022

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2022 A causal model of safety assurance for machine learning
Burton, Simon
Paper
2022 A Comparative Study on Solving Optimization Problems with Exponentially Fewer Qubits
Winderl, David; Franco, Nicola; Lorenz, Jeanette Miriam
Paper
2022 A Comparison of Ambulance Redeployment Systems on Real-World Data
Strauß, Niklas; Berrendorf, Max; Haider, Tom; Schubert, Matthias
Konferenzbeitrag
Conference Paper
2022 Application of Differential Game Theory for Vehicle Collision Avoidance
Hans, Ole
Master Thesis
2022 Automating Safety Argument Change Impact Analysis for Machine Learning Components
Cârlan, Carmen; Gauerhof, Lydia; Gallina, Barbara; Burton, Simon
Konferenzbeitrag
Conference Paper
2022 Bessere KI-Algorithmen durch Quantencomputing?
Lorenz, Jeanette Miriam
Zeitschriftenaufsatz
Journal Article
2022 Beyond Test Accuracy: The Effects of Model Compression on CNNs
Schwaiger, Adrian; Schwienbacher, Kristian; Roscher, Karsten
Konferenzbeitrag
Conference Paper
2022 Characteristics of Quantum Architectures in Reinforcement Learning Applications
Dragan, Theodora-Augustina
Master Thesis
2022 Computer Safety, Reliability, and Security. 41st International Conference, SAFECOMP 2022. Proceedings
Tagungsband
Conference Proceeding
2022 Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops, DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE. Proceedings
Tagungsband
Conference Proceeding
2022 Concept for Safe Interaction of Driverless Industrial Trucks and Humans in Shared Areas
Drabek, Christian; Kosmalska, Anna; Weiß, Gereon; Ishigooka, Tasuku; Otsuka, Satoshi; Mizuochi, Mariko
Konferenzbeitrag
Conference Paper
2022 Dependable Computing - EDCC 2022 Workshops. Proceedings
Tagungsband
Conference Proceeding
2022 Deutsche Normungsroadmap Künstliche Intelligenz
Adler, Rasmus; Bunte, Andreas; Burton, Simon; Großmann, Jürgen; Jaschke, Alexander; Kleen, Philip; Lorenz, Jeanette Miriam; Ma, Jackie; Markert, Karla; Meeß, Henri; Meyer, Olga; Neuhüttler, Jens; Philipp, Patrick; Poretschkin, Maximilian; Rennoch, Axel; Roscher, Karsten; Sperl, Philip; Usländer, Thomas; Weicken, Eva; Wrobel, Stefan; Zidowitz, Stephan; Ziehn, Jens; Kläs, Michael; Cheng, Chih-Hong; Heinrich, Jana; Knoblauch, Dorian; Heidrich, Jens; Görge, Rebekka; Kolomiichuk, Sergii; Lämmel, Philipp; Plinge, Axel; Rauh, Lukas; Tcholtchev, Nikolay Vassilev
Studie
Study
2022 Enabling Cognitive Manufacturing in Heterogeneous Industrial Automation Systems
Van, Hoai My; Dreiser, Marc; Sawczuk da Silva, Alexandre; Weiß, Gereon
Konferenzbeitrag
Conference Paper
2022 Ensemble-based Uncertainty Estimation with overlapping alternative Predictions
Eilers, Dirk; Schmoeller da Roza, Felippe; Roscher, Karsten
Vortrag
Presentation
2022 Flexibler und kontinuierlicher Einsatz von Künstlicher Intelligenz. Ein Framework für den Daten- und KI-Lebenszyklus
Van, Hoai My
Vortrag
Presentation
2022 Formal Specification for Learning-Enabled Autonomous Systems
Bensalem, Saddek; Cheng, Chih-Hong; Huang, Xiaowei; Katsaros, Panagiotis; Molin, Adam; Nickovic, Dejan; Peled, Doron
Konferenzbeitrag
Conference Paper
2022 Formally Compensating Performance Limitations for Imprecise 2D Object Detection
Schuster, Tobias; Seferis, Emmanouil; Burton, Simon; Cheng, Chih-Hong
Konferenzbeitrag
Conference Paper
2022 Framework for Data and AI Life Cycle. Research Project REMORA
Van, Hoai My; Dreiser, Marc; Sawczuk da Silva, Alexandre; Weiß, Gereon
Vortrag
Presentation
2022 Framework for Data and AI Lifecycle. Research Project REMORA
Van, Hoai My; Dreiser, Marc; Sawczuk da Silva, Alexandre; Weiß, Gereon
Vortrag
Presentation
2022 Fuzzy Interpretation of Operational Design Domains in Autonomous Driving
Salvi, Aniket; Weiß, Gereon; Trapp, Mario; Oboril, Fabian; Buerkle, Cornelius
Konferenzbeitrag
Conference Paper
2022 GAE-LCT: A Run-Time GA-Based Classifier Evolution Method for Hardware LCT Controlled SoC Performance-Power Optimization
Surhonne, Anmol; Doan, Nguyen Anh Vu; Maurer, Florian; Wild, Thomas; Herkersdorf, Andreas
Konferenzbeitrag
Conference Paper
2022 Implementing a Metadata Manager for Machine Learning with the Asset Administration Shell
Sawczuk da Silva, Alexandre; Van, Hoai My; Weiß, Gereon
Konferenzbeitrag
Conference Paper
2022 Intelligent Testing for Autonomous Vehicles - Methods and Tools
Cheng, Chih-Hong
Vortrag
Presentation
2022 Investigation of Out-of-Distribution Detection Using Contrastive Learning
Adeoti, Temiloluwa Olawamiwa
Master Thesis
2022 Is it all a cluster game?
Sinhamahapatra, Poulami; Koner, Rajat; Roscher, Karsten; Günnemann, Stephan
Konferenzbeitrag
Conference Paper
2022 Logically Sound Arguments for the Effectiveness of ML Safety Measures
Cheng, Chih-Hong; Schuster, Tobias; Burton, Simon
Konferenzbeitrag
Conference Paper
2022 Machine learning and simulation on NISQ devices
Sakhnenko, Alona; Lorenz, Jeanette Miriam
Vortrag
Presentation
2022 Neural Criticality Metric for Object Detection Deep Neural Networks
Diviš, Václav; Schuster, Tobias; Hrúz, Marek
Konferenzbeitrag
Conference Paper
2022 On Perceptual Uncertainty in Autonomous Driving under Consideration of Contextual Awareness
Saad, Ahmad; Bangalore, Nischal; Kurzidem, Iwo; Schleiß, Philipp
Konferenzbeitrag
Conference Paper
2022 On Quantum Computing for Neural Network Robustness Verification
Franco, Nicola; Wollschläger, Tom; Gao, Nicholas; Lorenz, Jeanette Miriam; Günnemann, Stephan
Vortrag
Presentation
2022 On the stony way to a practical quantum advantage
Lorenz, Jeanette Miriam
Vortrag
Presentation
2022 Planning via model checking with decision-tree controllers
Kiesbye, Jonis; Grover, Kush; Ashok, Pranav; Křetínský, Jan
Konferenzbeitrag
Conference Paper
2022 Preface
Trapp, Mario; Saglietti, Francesca; Spisländer, Marc; Bitsch, Friedemann
Konferenzbeitrag
Conference Paper
2022 Preventing Failures of Cooperative Maneuvers Among Connected and Automated Vehicles
Häfner, Bernhard; Jiru, Josef; Schepker, Henning F.; Schmitt, Georg Albrecht; Ott, Jörg
Zeitschriftenaufsatz
Journal Article
2022 Prioritizing Corners in OoD Detectors via Symbolic String Manipulation
Cheng, Chih-Hong; Changshun, Wu; Seferis, Emmanouil; Bensalem, Saddek
Konferenzbeitrag
Conference Paper
2022 Quantencomputing verspricht in der Zukunft bessere Patientenversorgung im Krankenhaus
Lorenz, Jeanette Miriam
Zeitschriftenaufsatz
Journal Article
2022 Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm
Franco, Nicola; Wollschläger, Tom; Gao, Nicholas; Lorenz, Jeanette Miriam; Günnemann, Stephan
Konferenzbeitrag
Conference Paper
2022 Quantum-classical convolutional neural networks in radiological image classification
Matic, Andrea; Monnet, Maureen; Schachtner, Balthasar; Lorenz, Jeanette Miriam; Messerer, Thomas
Konferenzbeitrag
Conference Paper
2022 QuaST Software for Quantum Computing- Easing Solutions for Complex Optimization Problems
Lorenz, Jeanette Miriam; Ehm, Hans
Video
2022 Region of interest based non-dominated sorting genetic algorithm-II
Manuel, Manu; Hien, Benjamin; Conrady, Simon; Kreddig, Arne; Doan, Nguyen Anh Vu; Stechele, Walter
Konferenzbeitrag
Conference Paper
2022 Resilience in IIoT Applications. Dependable Cloud Services for Industrial Robots
Drabek, Christian; Wörter, Florian
Vortrag
Presentation
2022 ROS2 versus AUTOSAR: Automated Parking System case-study
Casado Navarro, Kenneth
Master Thesis
2022 Safe AI - How is this possible?
Rueß, Harald; Burton, Simon
Paper
2022 Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning
Schmoeller da Roza, Felippe; Rasheed, Hassan; Roscher, Karsten; Ning, Xiangyu; Günnemann, Stephan
Konferenzbeitrag
Conference Paper
2022 Safety Assessment: From Black-Box to White-Box
Kurzidem, Iwo; Misik, Adam; Schleiß, Philipp; Burton, Simon
Konferenzbeitrag
Conference Paper
2022 Safety Assurance of Machine Learning for Perception Functions
Burton, Simon; Hellert, Christian; Hüger, Fabian; Mock, Michael; Rohatschek, Andreas
Aufsatz in Buch
Book Article
2022 Safety Implications of Runtime Adaptation to Changing Operating Conditions
Salvi, Aniket; Weiß, Gereon; Trapp, Mario; Oboril, Fabian; Buerkle, Cornelius
Konferenzbeitrag
Conference Paper
2022 SEC-Learn: Sensor Edge Cloud for Federated Learning
Aichroth, Patrick; Antes, Christoph; Gembaczka, Pierre; Graf, Holger; Johnson, David S.; Jung, Matthias; Kämpfe, Thomas; Kleinberger, Thomas; Köllmer, Thomas; Kuhn, Thomas; Kutter, Christoph; Krüger, Jens; Loroch, Dominik M.; Lukashevich, Hanna; Laleni, Nelli; Zhang, Lei; Leugering, Johannes; Martín Fernández, Rodrigo; Mateu, Loreto; Mojumder, Shaown; Prautsch, Benjamin; Pscheidl, Ferdinand; Roscher, Karsten; Schneickert, Sören; Vanselow, Frank; Wallbott, Paul; Walter, Oliver; Weber, Nico
Konferenzbeitrag
Conference Paper
2022 Selected Challenges in ML Safety for Railway
Cheng, Chih-Hong
Vortrag
Presentation
2022 Simulative Uncertainty Analysis of Camera-Based Object Detection for Autonomous Vehicles
Misik, Adam
Master Thesis
2022 Software Architectural Design for Safety in Automated Driving Systems
El Kabdani, Yassine
Master Thesis
2022 Software Architectural Design for Safety in Automated Parking System
Hernández, Roger Tremosa
Master Thesis
2022 The Effect of Noise on the Performance of the Variational Quantum Eigensolver
Oliv, Marita; Matic, Andrea; Messerer, Thomas; Lorenz, Jeanette Miriam
Poster
2022 The impact of noise on the Variational Quantum Eigensolver
Oliv, Marita; Matic-Flierl, Andrea; Lorenz, Jeanette Miriam
Vortrag
Presentation
2022 Towards Anomaly Detection in Reinforcement Learning
Müller, Robert; Illium, Steffen; Phan, Thomy; Haider, Tom; Linnhoff-Popien, Claudia
Konferenzbeitrag
Conference Paper
2022 Towards Continuous Safety Assurance for Autonomous Systems
Schleiß, Philipp; Carella, Francesco; Kurzidem, Iwo
Konferenzbeitrag
Conference Paper
2022 Towards the Quantitative Verification of Deep Learning for Safe Perception
Schleiß, Philipp; Hagiwara, Yuki; Kurzidem, Iwo; Carella, Francesco
Konferenzbeitrag
Conference Paper
2022 Using hybrid quantum-classical convolutional neural networks to identify cancer
Matic, Andrea
Vortrag
Presentation
2022 Using hybrid quantum-classical convolutional neural networks to identify cancer
Lorenz, Jeanette Miriam
Vortrag
Presentation
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica