Fraunhofer-Institut für Kognitive Systeme IKS| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2024 | A Comparative Study on Solving Optimization Problems with Exponentially Fewer Qubits Winderl, David; Franco, Nicola; Lorenz, Jeanette Miriam |
Zeitschriftenaufsatz Journal Article |
| 2024 | A Deductive Approach to Safety Assurance: Formalising Safety Contracts with Subjective Logic Herd, Benjamin; Zacchi, Joao-Vitor; Burton, Simon |
Konferenzbeitrag Conference Paper |
| 2024 | A hyperparameter study for quantum kernel methods Egginger, Sebastian; Sakhnenko, Alona; Lorenz, Jeanette Miriam |
Zeitschriftenaufsatz Journal Article |
| 2024 | Analysis of Missingness Scenarios for Observational Health Data Zamanian, Alireza; Kleist, Henrik von; Ciora, Octavia; Piperno, Marta; Lancho, Gino; Ahmidi, Narges |
Zeitschriftenaufsatz Journal Article |
| 2024 | Analysis of Neural Network Inference Response Times on Embedded Platforms Huber, Patrick; Göhner, Ulrich; Trapp, Mario; Zender, Jonathan; Lichtenberg, Rabea |
Konferenzbeitrag Conference Paper |
| 2024 | Applying Concept-Based Models for Enhanced Safety Argumentation Costa de Araujo, João Paulo; Balu, Balahari; Reichmann, Eik; Kelly, Jessica; Kugele, Stefan; Mata, Núria; Grunske, Lars |
Konferenzbeitrag Conference Paper |
| 2024 | Approach for Argumenting Safety on Basis of an Operational Design Domain Weiß, Gereon; Zeller, Marc; Schoenhaar, Hannes; Drabek, Christian; Kreutz, Andreas |
Konferenzbeitrag Conference Paper |
| 2024 | Assured Resilience in Autonomous Systems - Machine Learning Methods for Reliable Perception Weiß, Gereon; Gansloser, Jens; Schwaiger, Adrian; Schwaiger, Maximilian |
Aufsatz in Buch Book Article |
| 2024 | Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique Karabey Aksalli, Isil; Baygin, Nursena; Hagiwara, Yuki; Paul, Jose Kunnel; Iype, Thomas; Koh, Joel E. W.; Barua, Prabal Datta; Baygin, Mehmet; Dogan, Sengul; Tuncer, Turker; Acharya, U. Rajendra |
Zeitschriftenaufsatz Journal Article |
| 2024 | Automatic Deduction of the Impact of Context Variability on System Safety Goals Kreutz, Andreas; Weiß, Gereon; Trapp, Mario |
Konferenzbeitrag Conference Paper |
| 2024 | Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK Kiwit, Florian J.; Wolf, Maximilian A.; Marso, Marwa; Ross, Philipp; Lorenz, Jeanette Miriam; Riofrío, Carlos A.; Luckow, Andre |
Zeitschriftenaufsatz Journal Article |
| 2024 | Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset Sakhnenko, Alona; Sikora, Julian; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Can you trust your Agent? The Effect of Out-of-Distribution Detection on the Safety of Reinforcement Learning Systems Haider, Tom; Roscher, Karsten; Herd, Benjamin; Schmoeller da Roza, Felippe; Burton, Simon |
Konferenzbeitrag Conference Paper |
| 2024 | Can you trust your ML metrics? Using Subjective Logic to determine the true contribution of ML metrics for safety Herd, Benjamin; Burton, Simon |
Konferenzbeitrag Conference Paper |
| 2024 | Certifiably Robust Encoding Schemes Saxena, Aman; Wollschläger, Tom; Franco, Nicola; Lorenz, Jeanette Miriam; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
| 2024 | Challenges and opportunities in quantum optimization Abbas, Amira; Ambainis, Andris; Augustino, Brandon; Bärtschi, Andreas; Buhrman, Harry; Coffrin, Carleton; Cortiana, Giorgio; Egger, Daniel J.; Dunjko, Vedran; Elmegreen, Bruce G.; Franco, Nicola; Fratini, Filippo; Fuller, Bryce; Gacon, Julien; Gonciulea, Constantin; Gribling, Sander; Gupta, Swati; Hadfield, Stuart; Heese, Raoul; Kircher, Gerhard; Kleinert, Thomas; Koch, Thorsten; Korpas, Georgios; Lenk, Steve; Markov, Vanio; Marecek, Jakub; Mazzola, Guglielmo; Mensa, Stefano; Mohseni, Naeimeh; Nannicini, Giacomo; O’Meara, Corey; Peña Tapia, Elena; Pokutta, Sebastian; Proissl, Manuel; Rebentrost, Patrick; Sahin, Emre; Symons, Benjamin C.B.; Tornow, Sabine; Valls, Víctor; Woerner, Stefan; Wolf-Bauwens, Mira L.; Yard, Jon; Yarkoni, Sheir; Zechiel, Dirk; Zhuk, Sergiy; Zoufal, Christa |
Zeitschriftenaufsatz Journal Article |
| 2024 | Computer Safety, Reliability, and Security. 43rd International Conference, SAFECOMP 2024. Proceedings | Tagungsband Conference Proceeding |
| 2024 | Computer Safety, Reliability, and Security. SAFECOMP 2024 Workshops. Proceedings | Tagungsband Conference Proceeding |
| 2024 | Concept-Guided LLM Agents for Human-AI Safety Codesign Geissler, Florian; Roscher, Karsten; Trapp, Mario |
Konferenzbeitrag Conference Paper |
| 2024 | Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach Ciora, Octavia; Seegmüller, Tanja; Fischer, Johannes; Wirth, Theresa; Häfner, Friederike; Stoecklein, Sophia; Flemmer, Andreas W.; Förster, Kai; Kindt, Alida; Bassler, Dirk; Poets, Christian F.; Ahmidi, Narges; Hilgendorff, Anne |
Zeitschriftenaufsatz Journal Article |
| 2024 | Dependable Computing - EDCC 2024 Workshops. Proceedings | Tagungsband Conference Proceeding |
| 2024 | Discrete Randomized Smoothing Meets Quantum Computing Wollschläger, Tom; Saxena, Aman; Franco, Nicola; Lorenz, Jeanette Miriam; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
| 2024 | Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms Schnaus, Manuel; Palackal, Lilly; Poggel, Benedikt; Runge, Xiomara; Ehm, Hans; Lorenz, Jeanette Miriam; Mendl, Christian B. |
Konferenzbeitrag Conference Paper |
| 2024 | Enhancing Argument Generation Using Bayesian Networks Cao, Yuan; Fuchs, Rafael; Keshmirian, Anita |
Konferenzbeitrag Conference Paper |
| 2024 | Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes Sinhamahapatra, Poulami; Shit, Suprosanna; Sekuboyina, Anjany; El Husseini, Malek; Schinz, David; Lenhart, Nicolas; Menze, Bjoern; Kirschke, Jan; Roscher, Karsten; Guennemann, Stephan |
Zeitschriftenaufsatz Journal Article |
| 2024 | From Networks to Narratives: Bayes Nets and the Problems of Argumentation Keshmirian, Anita; Fuchs, Rafael; Cao, Yuan; Hartmann, Stephan; Hahn, Ulrike |
Konferenzbeitrag Conference Paper |
| 2024 | Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing Franco, Nicola; Spiegelberg, Jakob; Lorenz, Jeanette Miriam; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
| 2024 | Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization Kruse, Georg; Coelho, Rodrigo; Roßkopf, Andreas; Wille, Robert; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Hochautomatisierte und autonome cyber-physische Produktionssysteme Liggesmeyer, Peter; Trapp, Mario; Schneider, Daniel; Kuhn, Thomas |
Aufsatz in Buch Book Article |
| 2024 | Hybrid Meta-Solving for Practical Quantum Computing Eichhorn, Domenik; Schweikart, Maximilian; Poser, Nick; Fiand, Frederik; Poggel, Benedikt; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Identifying Bottlenecks of NISQ-Friendly HHL Algorithms Marfany Andreu, Marc; Sakhnenko, Alona; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Intelligente Gesundheit Lorenz, Jeanette Miriam; Schmidhuber, Johanna |
Zeitschriftenaufsatz Journal Article |
| 2024 | KI-Entwicklung - von der Vorschrift zum Computercode Zamanian, Alireza; Pachl, Elisabeth; Lancho, Gino |
Zeitschriftenaufsatz Journal Article |
| 2024 | Landscape of AI Safety Concerns - A Methodology to Support Safety Assurance for AI-Based Autonomous Systems Schnitzer, Ronald; Kilian, Lennart; Roessner, Simon; Theodorou, Konstantinos; Zillner, Sonja |
Konferenzbeitrag Conference Paper |
| 2024 | Navigating the EU AI Act: A Methodological Approach to Compliance for Safety-critical Products Kelly, Jessica; Zafar, Shanza Ali; Heidemann, Lena; Zacchi, Joao-Vitor; Espinoza, Delfina; Mata, Núria |
Konferenzbeitrag Conference Paper |
| 2024 | Online Identification of Operational Design Domains of Automated Driving System Features Salvi, Aniket; Weiß, Gereon; Trapp, Mario |
Konferenzbeitrag Conference Paper |
| 2024 | Predominant Aspects on Security for Quantum Machine Learning: Literature Review Franco, Nicola; Sakhnenko, Alona; Stolpmann, Leon; Thuerck, Daniel; Petsch, Fabian; Rüll, Annika; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis Franco, Nicola; Kempkes, Marie; Spiegelberg, Jakob; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Quantum neural networks under depolarization noise: exploring white-box attacks and defenses Winderl, David; Franco, Nicola; Lorenz, Jeanette Miriam |
Zeitschriftenaufsatz Journal Article |
| 2024 | Quantum Patch-Based Autoencoder for Anomaly Segmentation Madeira, Maria Francisca; Poggiali, Alessandro; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Reinforcement Learning with Ensemble Model Predictive Safety Certification Gronauer, Sven; Haider, Tom; Schmoeller da Roza, Felippe; Diepold, Klaus |
Konferenzbeitrag Conference Paper |
| 2024 | Rolle der Künstlichen Intelligenz in der Elektro- und Informationstechnik Bockelmann, Carsten; Dudek, Damian; Haja, Andreas; Hanuschkin, Alexander; Klischat, Cosima; Lehnhoff, Sebastian; Magdowski, Mathias; Matthes, Britta; Rigoll, Gerhard; Schanz, Michael; Van, Hoai My; Wübben, Dirk; Zeller, Niclas |
Paper |
| 2024 | Safety Performance of Neural Networks in the Presence of Covariate Shift Cheng, Chih-Hong; Ruess, Harald; Theodorou, Konstantinos |
Konferenzbeitrag Conference Paper |
| 2024 | Self-Adaptive Optimization Techniques for Matrix Production Systems Sawczuk da Silva, Alexandre; Knissel, Tim; Weiß, Gereon |
Konferenzbeitrag Conference Paper |
| 2024 | Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection Bodden, Lennard; Ha, Duc Bach; Schwaiger, Franziska; Kreuzberg, Lars; Behnke, Sven |
Konferenzbeitrag Conference Paper |
| 2024 | Taxonomy of Safe Uncertainty Handling in the Context of Dynamic Risk Management Schleiß, Philipp; Zafar, Shanza Ali; Tanzarella, Luciana; Carella, Francesco |
Konferenzbeitrag Conference Paper |
| 2024 | The European Artificial Intelligence Act Heidemann, Lena; Herd, Benjamin; Kelly, Jessica; Mata, Núria; Tsai, Wan-Ting; Zafar, Shanza Ali; Zamanian, Alireza |
Paper |
| 2024 | The quest for a practical quantum advantage or the importance of applications for quantum computing Lorenz, Jeanette Miriam |
Zeitschriftenaufsatz Journal Article |
| 2024 | The Role of Uncertainty Quantification for Trustworthy AI Deuschel, Jessica; Foltyn, Andreas; Roscher, Karsten; Scheele, Stephan |
Aufsatz in Buch Book Article |
| 2024 | Towards a Stateful Capability-Skill Ontology for Scheduling in Flexible Manufacturing Systems Sawczuk da Silva, Alexandre; Van, Hoai My; Weiß, Gereon |
Konferenzbeitrag Conference Paper |
| 2024 | Towards Engineered Safe AI with Modular Concept Models Heidemann, Lena; Kurzidem, Iwo; Monnet, Maureen; Roscher, Karsten; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
| 2024 | Towards Small Anomaly Detection Messerer, Thomas |
Konferenzbeitrag Conference Paper |
| 2024 | Uncertainty-Aware Evaluation of Quantitative ML Safety Requirements Burton, Simon; Herd, Benjamin; Zacchi, Joao-Vitor |
Konferenzbeitrag Conference Paper |
| 2024 | Understanding ReLU Network Robustness Through Test Set Certification Performance Franco, Nicola; Lorenz, Jeanette Miriam; Roscher, Karsten; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
| 2024 | Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks Monnet, Maureen; Chaabani, Nermine; Dragan, Theodora-Augustina; Schachtner, Balthasar; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments Kruse, Georg; Dragan, Theodora-Augustina; Wille, Robert; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
| 2024 | Wettbewerbsfaktor Digitaler Industriestandort Altendeitering, Marcel; Behrens, Roland; Binz, Vera; Birnstill, Pascal; Bocklisch, Franziska; Eul, Ursula; Flores-Herr, Nicolas; Fritz, Michael; Hölzle, Katharina; Ihlenfeldt, Steffen; Jost, Jana; Kerner, Sören; Klein, Peter; Kraus, Werner; Lange-Bever, Christoph; Laß, Dietmar; Lutz, Juliane; Lux, Simon; Luyken, Richard Johannes; Peinsipp-Byma, Elisabeth; Petereit, Janko; Plogsties, Jan; Prasuhn, Pierre; Sauer, Olaf; Schimmler, Sonja; Schlegel, Andreas; Schmidtke, Niels; Steiert, Maximilian; Stiller, Michael; Stork, Andre; Todtermuschke, Marcel |
Paper |
| 2024 | Zukunftsteam KI und medizinisches Personal Lorenz, Jeanette Miriam; Pachl, Elisabeth |
Zeitschriftenaufsatz Journal Article |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica