Not finding it? Sign in to also search OpenAlex live.
-
RDM in Chemistry: How to Educate and Train Future Researchers to Manage Their Data2023 Proceedings of the Conference on Research Data Infrastructure conference-paper Computer Science Research Data Management Practices Open access
Jochen Ortmeyer, Fabian Fink, Alexander Hoffmann, Sonja Herres‐Pawlis
0citations -
Generating a pixel-wise annotated training dataset to train ML algorithms for mineral identification in rock thin sections2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Geochemistry and Geologic Mapping Open access
Jiaxin Yu, Joyce Schmatz, Marven von Domarus, Mingze Jiang, Simon Virgo, Bastian Leibe, +1 more
0citations -
Assessment of Simulated Data for Training Semantic Segmentation-based Perception Models in Construction2025 Procedia Computer Science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Jorge Luis Jiménez Aparicio, David Böken, Johannes Sprink, Xiaoting Wang, Jürgen Roßmann
0citations -
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis Open access
Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney
4citations -
Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train2023 Proceedings of the Conference on Research Data Infrastructure conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Yongli Mou, Li Fei-Fei, Sven Weber, Sabith Haneef, Hans Meine, Liliana Caldeira, +7 more
2citations -
Accurate detection and 3D localization of humans using a novel YOLO-based RGB-D fusion approach and synthetic training data2020 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Advanced Neural Network Applications
Timm Linder, Kilian Pfeiffer, Narunas Vaškevičius, Robert F. Schirmer, Kai O. Arras
35citations -
Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more
0citations -
Fault detection and diagnosis in building energy systems: A tool chain for the automated generation of training data2021 Journal of Physics Conference Series conference-paper Engineering Fault Detection and Control Systems Open access
Christine van Stiphoudt, Florian Stinner, Gerrit Bode, Alexander Kümpel, Dirk Müller
4citations -
Learning Analytics Data Visualization in a Virtual Reality Teacher Training Simulation2025 RWTH Publications (RWTH Aachen) conference-paper Computer Science Online Learning and Analytics Open access
Birte Heinemann, Sergej Görzen, Ana Dragoljic, Jasmin Hartanto, Lars Florian Meiendresch, Jona Recker, +3 more
0citations -
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection2025 International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) conference-paper Computer Science Hate Speech and Cyberbullying Detection Open access
Rabiraj Bandyopadhyay, Dennis Assenmacher, José M. Alonso, Claudia Wagner
0citations -
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices2023 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering Mechanical Circulatory Support Devices
Johannes Kummert, Alexander Schulz, Robert Feldhans, Moriz Habigt, Maike Stemmler, Christina Kohler, +3 more
2citations -
Shape analysis of training data for neural networks in Electrical Impedance Tomography2023 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society conference-paper Engineering Electrical and Bioimpedance Tomography
Jöran Rixen, Benedikt Eliasson, Simon Lyra, Steffen K. Leonhardt
0citations -
Using Synthesized IMU Data to Train a Long-Short Term Memory-based Neural Network for Unobtrusive Gait Analysis with a Sparse Sensor Setup6citations
-
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge2021 Lecture notes in computer science conference-paper Medicine Advanced MRI Techniques and Applications Open access
Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, +35 more
12citations -
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) conference-paper Engineering Robotics and Sensor-Based Localization
Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein
3citations -
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection2023 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
4citations -
A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, Suzan Verberne
12citations -
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations