Molina-Moreno, M.* ; Schilling, M.P.* ; Reischl, M.* ; Mikut, R.*
ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging.
IEEE Access 13, 54794-54807 (2025)
Raseta, M.* ; Silver, S.D.* ; Bazarova, A.
Phase transitions in an ising model of agent expectations in financial markets: Analytics and numerical results in one and two-dimensional network topologies.
IEEE Access 13, 181336-181348 (2025)
Jaeger, K.M.* ; Nissen, M.* ; Flaucher, M.* ; Gräf, L.* ; Joanidopoulos, J.* ; Anneken, L.* ; Huebner, H.* ; Goossens, C.* ; Titzmann, A.* ; Pontones, C.* ; Fasching, P.A.* ; Beckmann, M.W.* ; Eskofier, B.M. ; Leutheuser, H.*
Systematic comparison of ECG delineation algorithm performance on smartwatch data.
IEEE Access, DOI: 10.1109/ACCESS.2024.3487013 (2024)
Klede, K.* ; Altstidl, T.* ; Zanca, D.* ; Eskofier, B.M.
The impact of random models on standardized clustering similarity.
IEEE Access 12, 179879-179890 (2024)
Roider, J.* ; Nguyen, A.* ; Zanca, D.* ; Eskofier, B.M.
Assessing the performance of remaining time prediction methods for business processes.
IEEE Access 12, 130583-130601 (2024)
Madni, H.A.* ; Umer, R.M. ; Foresti, G.L.*
Blockchain-based swarm learning for the mitigation of gradient leakage in federated learning.
IEEE Access 11, 16549-16556 (2023)
Boldeanu, M.* ; González-Alonso, M.* ; Cucu, H.* ; Burileanu, C.* ; Maya-Manzano, J.M. ; Buters, J.T.M.
Automatic pollen classification and segmentation using U-nets and synthetic Data.
IEEE Access 10, 73675-73684 (2022)
Schilling, M.P.* ; Scherr, T.* ; Muenke, F.R.* ; Neumann, O.* ; Schutera, M.* ; Mikut, R.* ; Reischl, M.* ; Schilling, M.*
Automated Annotator Variability Inspection for Biomedical Image Segmentation.
IEEE Access 10, 2753-2765 (2022)
Lopez Garcia, A.* ; Tran, V.* ; Alic, A.S.* ; Caballer, M.* ; Plasencia, I.C.* ; Costantini, A.* ; Dlugolinsky, S.* ; Duma, D.C.* ; Donvito, G.* ; Gomes, J.* ; Heredia Cacha, I.* ; De Lucas, J.M.* ; Ito, K. ; Kozlov, V.Y.* ; Nguyen, G.* ; Orviz Fernandez, P.* ; Sustr, Z.* ; Wolniewicz, P.* ; Antonacci, M.* ; zu Castell, W. ; David, M.* ; Hardt, M.* ; Lloret Iglesias, L.* ; Molto, G.* ; Plociennik, M.*
A cloud-based framework for machine learning workloads and applications.
IEEE Access 8, 18681-18692 (2020)