Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
---|---|---|
2023 | Concept Correlation and its Effects on Concept-Based Models Heidemann, Lena; Monnet, Maureen; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | Proteomics reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients Bauer, Alina; Pachl, Elisabeth; Hellmuth, Johannes C.; Kneidinger, Nikolaus; Motaharehsadat, Heydarian; Frankenberger, Marion; Stubbe, Hans C.; Ryffel, Bernhard; Petrera, Agnese; Hauck, Stefanie M.; Behr, Jürgen; Kaiser, Rainer; Scherer, Clemens; Deng, Li; Teupser, Daniel; Ahmidi, Narges; Muenchhoff, Maximilian; Schubert, Benjamin; Hilgendorff, Anne |
Zeitschriftenaufsatz Journal Article |
2023 | Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices Dragan, Theodora-Augustina; Monnet, Maureen; Mendl, Christian B.; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
2023 | Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning Eilers, Dirk; Burton, Simon; Schmoeller da Roza, Felippe; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | Sensing and Machine Learning for Automotive Perception: A Review Pandharipande, Ashish; Cheng, Chih-Hong; Dauwels, Justin; Gurbuz, Sevgi Z.; Ibanez-Guzman, Javier; Li, Guofa; Piazzoni, Andrea; Wang, Pu; Santra, Avik |
Zeitschriftenaufsatz Journal Article |
2023 | Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Sinhamahapatra, Poulami; Heidemann, Lena; Monnet, Maureen; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Sinhamahapatra, Poulami; Heidemann, Lena; Monnet, Maureen; Roscher, Karsten |
Vortrag Presentation |
2023 | Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents Schmoeller da Roza, Felippe; Hadwiger, Simon; Thorn, Ingo; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | Uncertainty-Aware Hierarchical Reinforcement Learning Robust to Noisy Observations Schmoeller da Roza, Felippe |
Konferenzbeitrag Conference Paper |
2023 | What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification Schröder, Maresa; Zamanian, Alireza; Ahmidi, Narges |
Zeitschriftenaufsatz Journal Article |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica