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Publication search results
found 181 matches
- 2024
- Stefan Grafberger, Zeyu Zhang, Sebastian Schelter, Ce Zhang:
Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI. IEEE Data Eng. Bull. 47(1): 63-81 (2024) - Hartmut Surmann, Kevin Daun, Marius Schnaubelt, Oskar von Stryk, Manuel Patchou, Stefan Böcker, Christian Wietfeld, Jan Quenzel, Daniel Schleich, Sven Behnke, Robert Grafe, Nils Heidemann, Dominik Slomma, Ivana Kruijff-Korbayová:
Lessons from robot-assisted disaster response deployments by the German Rescue Robotics Center task force. J. Field Robotics 41(3): 782-797 (2024) - Sebastian Schelter, Stefan Grafberger, Maarten de Rijke:
Snapcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning. Proc. VLDB Endow. 17(12): 4273-4276 (2024) - Michael Hubner, Kilian Wohlleben, Martin Litzenberger, Stephan Veigl, Andreas Opitz, Stefan Grebien, Franz Graf, Andreas Haderer, Susanne Rechbauer, Sebastian Poltschak:
Robust Detection of Critical Events in the Context of Railway Security Based on Multimodal Sensor Data Fusion. Sensors 24(13): 4118 (2024) - Hussain Al-Qassem, Mohammed Ali:
On Certain Rough Marcinkiewicz Integral Operators with Grafakos-Stefanov Kernels on Product Spaces. Symmetry 16(8): 955 (2024) - Julius Polz, Luca Glawion, Hiob Gebisso, Lukas Altenstrasser, Maximilian Graf, Harald Kunstmann, Stefanie Vogl, Christian Chwala:
Temporal Super-Resolution, Ground Adjustment, and Advection Correction of Radar Rainfall Using 3-D-Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme:
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. AAAI 2024: 16255-16263 - André Heining, Stefan Esser, Stephanie Mrzyglod, Marwan Abdou Ahmed, Thomas Graf, Oliver Sawodny:
Intra-Cavity Control of an Adaptive Thin-Disk Laser with Multiple Pneumatically Actuated Deformable Mirrors. ACC 2024: 5061-5066 - Stefan Grafberger, Paul Groth, Sebastian Schelter:
Towards Interactively Improving ML Data Preparation Code via "Shadow Pipelines". DEEM@SIGMOD 2024: 7-11 - Linda Graf, Katharina Emmerich, Stefan Liszio, Maic Masuch:
The Impact of Emotional Virtual Characters on Emotional State and Player Experience in VR Horror Games. FDG 2024: 5 - Lorenz Graf-Vlachy, Stefan Wagner:
Endogeneity, Instruments, and Two-Stage Models. ICSE Companion 2024: 274-275 - Lorenz Graf-Vlachy, Stefan Wagner:
Different Debt: An Addition to the Technical Debt Dataset and a Demonstration Using Developer Personality. TechDebt@ICSE 2024: 31-35 - Hendrik Kristian Möller, Robert Graf, Joachim Schmitt, Benjamin Keinert, Matan Atad, Anjany Sekuboyina, Felix Streckenbach, Hanna Schön, Florian Kofler, Thomas Kröncke, Stefanie Bette, Stefan Willich, Thomas Keil, Thoralf Niendorf, Tobias Pischon, Beate Endemann, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke:
SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation. CoRR abs/2402.16368 (2024) - Lorenz Graf-Vlachy, Stefan Wagner:
Different Debt: An Addition to the Technical Debt Dataset and a Demonstration Using Developer Personality. CoRR abs/2403.01157 (2024) - Stefan Grafberger, Paul Groth, Sebastian Schelter:
Towards Interactively Improving ML Data Preparation Code via "Shadow Pipelines". CoRR abs/2404.19591 (2024) - Prajnamaya Dass, Marcel Gräfenstein, Stefan Köpsell:
Exploring Privacy Issues in Mission Critical Communication: Navigating 5G and Beyond Networks. CoRR abs/2405.01492 (2024) - Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt:
Neural Persistence Dynamics. CoRR abs/2405.15732 (2024) - Robert Graf, Paul-Sören Platzek, Evamaria Olga Riedel, Constanze Ramschütz, Sophie Starck, Hendrik Kristian Möller, Matan Atad, Henry Völzke, Robin Bülow, Carsten Oliver Schmidt, Julia Rüdebusch, Matthias Jung, Marco Reisert, Jakob Weiss, Maximilian Löffler, Fabian Bamberg, Bene Wiestler, Johannes C. Paetzold, Daniel Rueckert, Jan Stefan Kirschke:
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images. CoRR abs/2406.00125 (2024) - Stefan Grafberger:
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans. CoRR abs/2407.07560 (2024) - Matan Atad, David Schinz, Hendrik Kristian Möller, Robert Graf, Benedikt Wiestler, Daniel Rueckert, Nassir Navab, Jan S. Kirschke, Matthias Keicher:
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder. CoRR abs/2408.01571 (2024) - Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji:
GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch. CoRR abs/2408.03204 (2024) - Matan Atad, Gabriel Gruber, Marx Ribeiro, Luis Fernando Nicolini, Robert Graf, Hendrik Kristian Möller, Kati Nispel, Ivan Ezhov, Daniel Rueckert, Jan S. Kirschke:
Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model. CoRR abs/2408.06067 (2024) - Sebastian Schelter, Stefan Grafberger:
Messy Code Makes Managing ML Pipelines Difficult? Just Let LLMs Rewrite the Code! CoRR abs/2409.10081 (2024) - 2023
- Aron Schnakenbeck, Robin Mross, Marcus Völker, Stefan Kowalewski, Alexander Fay:
Transformation von GRAFCET in GAL auf Basis eines ausführlichen Metamodells zur Verifikation von Entwurfsfehlern. Autom. 71(1): 56-68 (2023) - Stefan Hartmann, Pranav Kumar Dileep, Matthias Grafenhorst:
A time-adaptive FE2-approach within the method of vertical lines. Comput. Math. Appl. 151: 222-243 (2023) - Stefan Grafberger, Paul Groth, Sebastian Schelter:
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines. Proc. ACM Manag. Data 1(2): 128:1-128:26 (2023) - Stefan Grafberger, Shubha Guha, Paul Groth, Sebastian Schelter:
MLWHATIF: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? Proc. VLDB Endow. 16(12): 4002-4005 (2023) - Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CVPR Workshops 2023: 3064-3076 - Clarisse Bardiot, David Rouquet, Alexandre Michaan, Irénée Blin, Mei Menassel, Sébastien Hildebrand, Jacob Hart, Stefania Ferrando, Cosetta Graffione, Daniele Marranca:
From MemoRekall to MemoRekall-IIIF: developing a video annotation web application in the context of citizen science co-creation practices. DH 2023 - Robin Mroß, Aron Schnakenbeck, Marcus Völker, Alexander Fay, Stefan Kowalewski:
Unambiguous Interpretation of IEC 60848 GRAFCET based on a Literature Review. ETFA 2023: 1-8
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