Publikationen

Online Deep Hybrid Ensemble Learning for Time Series Forecasting

Saadallah, Amal; Jakobs, Matthias, 2023

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods

Sabih, Muhammad; Yayla, Mikail; Hannig, Frank; Teich, Jürgen; Chen, Jian-Jia, 2023

Hidden Schema Networks

Sanchez, Ramses J.; Conrads, Lukas; Welke, Pascal; Cvejoski, Kostadin; Ojeda, Cesar, 2023

Curvature-based Pooling within Graph Neural Networks

Sanders, Cedric; Roth, Andreas; Liebig, Thomas, 2023

Veröffentlicht in: arXiv

MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks

Sao, Ashutosh; Gottschalk, Simon; Tempelmeier, Nicolas; Demidova, Elena, 2023

How Much User Context Do We Need? Privacy by Design in Mental Health {NLP} Applications

Sawhney, Ramit; Neerkaje, Atula; Habernal, Ivan; Flek, Lucie, 2023

Veröffentlicht in: Proceedings of the International {AAAI} Conference on Web and Social Media

Cup Curriculum: Curriculum Learning on Model Capacity

Scharr, Luca; Toborek, Vanessa, 2023

Road Network Representation Learning with Vehicle Trajectories

Schestakov, Stefan; Heinemeyer, Paul; Demidova, Elena, 2023

Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis

Schneider, Helen; Yildiz, Elif Cansu; Biesner, David; Layer, Yannik C.; Wulff, Benjamin; Nowak, Sebastian; Theis, Maike; Sprinkart, Alois M.; Attenberger, Ulrike I.; Sifa, Rafet, 2023

Segmentation and analysis of lumbar spine mri scans for vertebral body measurements

Schneider, Helen; Biesner, David; Ashokan, Akash; Broß, Maximilian; Kador, Rebecca; Bagyo, Gabor; Dankerl, Peter; Ragab, Haissam; Yamamura, Jin; Halscheidt, Sandra; Labisch, Christoph; Sifa, Rafet, 2023