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Publication search results
found 205 matches
- 2024
- Rudolf Vetschera, Dmitriy Knyazev, Daniel Rehsmann:
Properties of bundle valuations in carrier collaboration. Central Eur. J. Oper. Res. 32(2): 241-266 (2024) - Rudolf Erdei, Daniela Delinschi, Oliviu Matei, Laura Andreica:
Good practices in designing a communication channel architecture for secure async flexible distributed collaboration. Log. J. IGPL 32(2): 334-351 (2024) - Daniel Rudolf, Philip Schär:
Dimension-independent spectral gap of polar slice sampling. Stat. Comput. 34(1): 20 (2024) - Markus Wurzenberger, Stephan Krenn, Max Landauer, Florian Skopik, Cora Perner, Jarno Lötjönen, Jani Päijänen, Georgios Gardikis, Nikos Alabasis, Liisa Sakerman, Kristiina Omri, Juha Röning, Kimmo Halunen, Vincent Thouvenot, Martin Weise, Andreas Rauber, Vasileios Gkioulos, Sokratis K. Katsikas, Luigi Sabetta, Jacopo Bonato, Rocío Ortíz, Daniel Navarro, Nikolaos Stamatelatos, Ioannis Avdoulas, Rudolf Mayer, Andreas Ekelhart, Ioannis Giannoulakis, Emmanouil Kafetzakis, Antonello Corsi, Ulrike Lechner, Corinna Schmitt:
NEWSROOM: Towards Automating Cyber Situational Awareness Processes and Tools for Cyber Defence. ARES 2024: 69:1-69:11 - Daniel Eisele, Carla Bernadette Bubeck, Matthias Rudolf, Tibor Petzoldt:
The Prevalence of Automated Vehicles (with eHMIs) May Influence Pedestrian-Vehicle Interactions. AutomotiveUI 2024: 329-337 - Philip Schär, Michael Habeck, Daniel Rudolf:
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo. ICML 2024 - Thomas Rudolf, Daniel Flögel, Tobias Schürmann, Simon Süß, Stefan Schwab, Sören Hohmann:
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries. CoRR abs/2401.05251 (2024) - Julian Hofstadler, Krzysztof Latuszynski, Gareth O. Roberts, Daniel Rudolf:
Almost sure convergence rates of adaptive increasingly rare Markov chain Monte Carlo. CoRR abs/2402.12122 (2024) - Daniel Flögel, Lars Fischer, Thomas Rudolf, Tobias Schürmann, Sören Hohmann:
Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning. CoRR abs/2403.09793 (2024) - Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß:
Smooth Deep Saliency. CoRR abs/2404.02282 (2024) - Florentina Tatrin Kurniati, Daniel HF Manongga, Eko Sediyono, Sri Yulianto Joko Prasetyo, Roy Rudolf Huizen:
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning. CoRR abs/2404.04578 (2024) - Rudolf Reiter, Armin Nurkanovic, Daniele Bernadini, Moritz Diehl, Alberto Bemporad:
A Long-Short-Term Mixed-Integer Formulation for Highway Lane Change Planning. CoRR abs/2405.02979 (2024) - Florentina Tatrin Kurniati, Daniel HF Manongga, Irwan Sembiring, Sutarto Wijono, Roy Rudolf Huizen:
The object detection model uses combined extraction with KNN and RF classification. CoRR abs/2405.05551 (2024) - 2023
- Ricardo Daniel Monteiro Simões, Patrick Huber, Nicola Meier, Nikita Smailov, Rudolf M. Füchslin, Kurt Stockinger:
Experimental Evaluation of Quantum Machine Learning Algorithms. IEEE Access 11: 6197-6208 (2023) - Stephan Rothstock, José María González-Ruiz, Hans-Rudolf Weiss, Deborah Turnbull, Daniel Krueger:
Severity and Cobb angle of scoliosis patients quantified with markerless trunk surface topography using k-NN search and multivariate regression analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(6): 2433-2439 (2023) - Julian Hofstadler, Daniel Rudolf:
Consistency of randomized integration methods. J. Complex. 76: 101740 (2023) - Saskia D. Hiltemann, Helena Rasche, Simon L. Gladman, Hans-Rudolf Hotz, Delphine Larivière, Daniel J. Blankenberg, Pratik D. Jagtap, Thomas Wollmann, Anthony Bretaudeau, Nadia Goué, Timothy J. Griffin, Coline Royaux, Yvan Le Bras, Subina P. Mehta, Anna Syme, Frederik Coppens, Bert Droesbeke, Nicola Soranzo, Wendi A. Bacon, Fotis E. Psomopoulos, Cristóbal Gallardo-Alba, John Davis, Melanie Christine Föll, Matthias Fahrner, Maria A. Doyle, Beatriz Serrano-Solano, Anne Fouilloux, Peter van Heusden, Wolfgang Maier, Dave Clements, Florian Heyl, The Galaxy Team, Björn A. Grüning, Bérénice Batut:
Galaxy Training: A powerful framework for teaching! PLoS Comput. Biol. 19(1) (2023) - Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß:
How GAN Generators can Invert Networks in Real-Time. ACML 2023: 422-437 - Daniel Dorfmeister, Flavio Ferrarotti, Bernhard Fischer, Evelyn Nicole Haslinger, Rudolf Ramler, Markus Zimmermann:
An Approach for Safe and Secure Software Protection Supported by Symbolic Execution. DEXA Workshops 2023: 67-78 - Philip Schär, Michael Habeck, Daniel Rudolf:
Gibbsian Polar Slice Sampling. ICML 2023: 30204-30223 - Daniele Cerra, Miguel Pato, Kevin Alonso, Claas Köhler, Mathias Schneider, Raquel De los Reyes, Emiliano Carmona, Rudolf Richter, Franz Kurz, Rupert Müller, Peter Reinartz:
Introducing DLR Hysu - A Benchmark Dataset for Spectral Unmixing. IGARSS 2023: 1008-1011 - Daniel Schläpfer, Joel Raebsamen, Christoph Popp, Rudolf Richter, Simon A. Trim, Marius Vögtli:
Droacor Topographic Correction Method with Adaptive Diffuse Irradiance Based Shadow Correction. IGARSS 2023: 7332-7335 - Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr:
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. IPMI 2023: 170-182 - Thomas Rudolf, Daniel Flögel, Tobias Schürmann, Simon Süß, Stefan Schwab, Sören Hohmann:
ReACT: Reinforcement Learning for Controller Parametrization Using B-Spline Geometries. SMC 2023: 3385-3391 - Mareike Hasenpflug, Viacheslav Natarovskii, Daniel Rudolf:
Reversibility of elliptical slice sampling revisited. CoRR abs/2301.02426 (2023) - Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass:
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time. CoRR abs/2302.02181 (2023) - Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr:
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. CoRR abs/2303.08632 (2023) - Florentina Tatrin Kurniati, Danny Manongga, Eko Sediyono, Sri Yulianto Joko Prasetyo, Roy Rudolf Huizen:
Object Classification Model Using Ensemble Learning with Gray-Level Co-Occurrence Matrix and Histogram Extraction. CoRR abs/2309.13512 (2023) - Simone Leo, Michael R. Crusoe, Laura Rodríguez-Navas, Raül Sirvent, Alexander Kanitz, Paul De Geest, Rudolf Wittner, Luca Pireddu, Daniel Garijo, José M. Fernández, Iacopo Colonnelli, Matej Gallo, Tazro Ohta, Hirotaka Suetake, Salvador Capella-Gutiérrez, Renske de Wit, Bruno de Paula Kinoshita, Stian Soiland-Reyes:
Recording provenance of workflow runs with RO-Crate. CoRR abs/2312.07852 (2023) - 2022
- Thomas Bach, Artur Andrzejak, Changyun Seo, Christian Bierstedt, Christian Lemke, Daniel Ritter, Dongwon Hwang, Erda Sheshi, Felix Schabernack, Frank Renkes, Gordon Gaumnitz, Jakob Martens, Lars Hömke, Michael Felderer, Michael Rudolf, Neetha Jambigi, Norman May, Robin Joy, Ruben Scheja, Sascha Schwedes, Sebastian Seibel, Sebastian Seifert, Stefan Haas, Stephan Kraft, Thomas Kroll, Tobias Scheuer, Wolfgang Lehner:
Testing Very Large Database Management Systems: The Case of SAP HANA. Datenbank-Spektrum 22(3): 195-215 (2022)
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