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- Erhard Rahm
Leipzig University, Germany
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Publication search results
found 308 matches
- 2024
- Martin Franke, Victor Christen, Peter Christen, Florens Rohde, Erhard Rahm:
(Privately) Estimating Linkage Quality for Record Linkage. EDBT 2024: 294-306 - Christopher Rost, Riccardo Tommasini, Angela Bonifati, Emanuele Della Valle, Erhard Rahm, Keith W. Hare, Stefan Plantikow, Petra Selmer, Hannes Voigt:
Seraph: Continuous Queries on Property Graph Streams. EDBT 2024: 234-247 - Lucas Lange, Nils Wenzlitschke, Erhard Rahm:
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection. CoRR abs/2401.13327 (2024) - Victor Christen, Daniel Obraczka, Marvin Hofer, Martin Franke, Erhard Rahm:
Graph-based Active Learning for Entity Cluster Repair. CoRR abs/2401.14992 (2024) - 2023
- Victor Christen, Tim Häntschel, Peter Christen, Erhard Rahm:
Privacy-preserving record linkage using autoencoders. Int. J. Data Sci. Anal. 15(4): 347-357 (2023) - Florens Rohde, Martin Franke, Victor Christen, Erhard Rahm:
Value-specific Weighting for Record-level Encodings in Privacy-Preserving Record Linkage. BTW 2023: 439-460 - Christopher Rost, Kevin Gómez, Peter Christen, Erhard Rahm:
Evolution of Degree Metrics in Large Temporal Graphs. BTW 2023: 485-507 - Maja Schneider, Peter Christen, Erhard Rahm, Jonathan Schneider, Lea Löffelmann:
Tuning the Utility-Privacy Trade-Off in Trajectory Data. EDBT 2023: 839-842 - Lucas Lange, Borislav Degenkolb, Erhard Rahm:
Privacy-Preserving Stress Detection Using Smartwatch Health Data. GI-Jahrestagung 2023: 549-560 - Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, Erhard Rahm:
Multi-Modal Artificial Intelligence in Additive Manufacturing: Combining Thermal and Camera Images for 3D-Print Quality Monitoring. ICEIS (1) 2023: 539-546 - Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, Erhard Rahm:
Using differential equation inspired machine learning for valve faults prediction. INDIN 2023: 1-8 - Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm:
Privacy in Practice: Private COVID-19 Detection in X-Ray Images. SECRYPT 2023: 624-633 - Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, Erhard Rahm:
Construction of Knowledge Graphs: State and Challenges. CoRR abs/2302.11509 (2023) - Lucas Lange, Tobias Schreieder, Victor Christen, Erhard Rahm:
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference. CoRR abs/2308.08310 (2023) - 2022
- Daniel Ayala, Inma Hernández, David Ruiz, Erhard Rahm:
LEAPME: Learning-based Property Matching with Embeddings. Data Knowl. Eng. 137: 101943 (2022) - Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm:
Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models. SN Comput. Sci. 3(5): 387 (2022) - Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm:
Correction: Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models. SN Comput. Sci. 3(6): 475 (2022) - Daniel Obraczka, Erhard Rahm:
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs. SN Comput. Sci. 3(6): 501 (2022) - Christopher Rost, Kevin Gómez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, Erhard Rahm:
Distributed temporal graph analytics with GRADOOP. VLDB J. 31(2): 375-401 (2022) - Martin Grimmer, Tim Kaelble, Felix Nirsberger, Emmely Schulze, Toni Rucks, Jörn Hoffmann, Erhard Rahm:
Dataset Report: LID-DS 2021. CRITIS 2022: 63-73 - Maja Schneider, Lukas Gehrke, Peter Christen, Erhard Rahm:
D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories. GI-Jahrestagung 2022: 219-230 - Daniel Obraczka, Alieh Saeedi, Victor Christen, Erhard Rahm:
Big Data Integration for Industry 4.0. Digital Transformation 2022: 247-268 - Lucas Lange, Maja Schneider, Erhard Rahm:
Privacy in Practice: Private COVID-19 Detection in X-Ray Images. CoRR abs/2211.11434 (2022) - 2021
- Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm:
Enhancing Cross-lingual Semantic Annotations using Deep Network Sentence Embeddings. HEALTHINF 2021: 188-199 - Kevin Gómez, Matthias Täschner, M. Ali Rostami, Christopher Rost, Erhard Rahm:
Graph Sampling with Distributed In-Memory Dataflow Systems. BTW 2021: 303-312 - Stefan Lerm, Alieh Saeedi, Erhard Rahm:
Extended Affinity Propagation Clustering for Multi-source Entity Resolution. BTW 2021: 217-236 - Ziad Sehili, Florens Rohde, Martin Franke, Erhard Rahm:
Multi-Party Privacy Preserving Record Linkage in Dynamic Metric Space. BTW 2021: 257-278 - Martin Franke, Ziad Sehili, Florens Rohde, Erhard Rahm:
Evaluation of Hardening Techniques for Privacy-Preserving Record Linkage. EDBT 2021: 289-300 - Christopher Rost, Kevin Gómez, Philip Fritzsche, Andreas Thor, Erhard Rahm:
Exploration and Analysis of Temporal Property Graphs. EDBT 2021: 682-685 - Martin Grimmer, Tim Kaelble, Erhard Rahm:
Improving Host-Based Intrusion Detection Using Thread Information. EISA 2021: 159-177
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