Publikationen 2023

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