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Molina-Moreno,\ M.*\ ; Schilling,\ M.P.*\ ; Reischl,\ M.*\ ; Mikut,\ R.*
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ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging.
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IEEE Access 13, 54794-54807 (2025)
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Raseta,\ M.*\ ; Silver,\ S.D.*\ ; Bazarova,\ A.
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Phase transitions in an ising model of agent expectations in financial markets: Analytics and numerical results in one and two-dimensional network topologies.
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IEEE Access 13, 181336-181348 (2025)
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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.*
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Systematic comparison of ECG delineation algorithm performance on smartwatch data.
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IEEE Access, DOI: 10.1109/ACCESS.2024.3487013 (2024)
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Klede,\ K.*\ ; Altstidl,\ T.*\ ; Zanca,\ D.*\ ; Eskofier,\ B.M.
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The impact of random models on standardized clustering similarity.
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IEEE Access 12, 179879-179890 (2024)
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Roider,\ J.*\ ; Nguyen,\ A.*\ ; Zanca,\ D.*\ ; Eskofier,\ B.M.
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Assessing the performance of remaining time prediction methods for business processes.
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IEEE Access 12, 130583-130601 (2024)
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Madni,\ H.A.*\ ; Umer,\ R.M.\ ; Foresti,\ G.L.*
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Blockchain-based swarm learning for the mitigation of gradient leakage in federated learning.
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IEEE Access 11, 16549-16556 (2023)
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Boldeanu,\ M.*\ ; González-Alonso,\ M.*\ ; Cucu,\ H.*\ ; Burileanu,\ C.*\ ; Maya-Manzano,\ J.M.\ ; Buters,\ J.T.M.
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Automatic pollen classification and segmentation using U-nets and synthetic Data.
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IEEE Access 10, 73675-73684 (2022)
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Schilling,\ M.P.*\ ; Scherr,\ T.*\ ; Muenke,\ F.R.*\ ; Neumann,\ O.*\ ; Schutera,\ M.*\ ; Mikut,\ R.*\ ; Reischl,\ M.*\ ; Schilling,\ M.*
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Automated Annotator Variability Inspection for Biomedical Image Segmentation.
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IEEE Access 10, 2753-2765 (2022)
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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.*
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A cloud-based framework for machine learning workloads and applications.
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IEEE Access 8, 18681-18692 (2020)
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