Fraunhofer Institute for Cognitive Systems IKS| 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 Lorenz, Jeanette Miriam |
Vortrag Presentation |
| 2022 | Using hybrid quantum-classical convolutional neural networks to identify cancer Matic, Andrea |
Vortrag Presentation |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica