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Publications

Displaying results 301 to 310 of 682.

  1. Ahmed Anwar; Brian Moser; Dayananda Herurkar; Federico Raue; Vinit Heiste; Tatjana Legler; Andreas Dengel

    FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

    In: 2nd Federated Learning Technologies and Applications Conference 2024. International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-19, Valencia, Spain, IEEEXplore, 2024.

  2. Ihab Alzalam; Christoph Lipps; Hans Dieter Schotten

    Time-Series Forecasting Models for 5G Mobile Networks: A Comparative Study in a Cloud Implementation

    In: IEEE 15th International Conference on Network of the Future. International Conference on Network of the Future (NoF-2024), October 2-4, Castelldefels (Barcelona), Spain, IEEE, 2024.

  3. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  4. Lotfy Abdel Kaliq; Sabine Janzen; Wolfgang Maaß

    Unleashing the Unpredictable: Generating Context-Driven Synthetic Black Swans

    In: Proceedings of Forty-Fifth International Conference on Information Systems. International Conference on Information Systems (ICIS-2024), December 15-18, Bangkok, Thailand, 12/2024.

  5. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Graph neural networks for multivariate time series regression with application to seismic data

    In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

  6. Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

    Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, Pages 10193-10200, ISBN 978-1-66547-927-1, IEEE, 10/2022.

  7. Mahsa Manshadi; Milad Mousavi; M. Soltani; Amirhosein Mosavi; Levente Kovacs

    Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System

    In: Energies, Vol. 15, No. 24, Pages 9484-9494, MDPI, 12/2022.

  8. Nabeel Khalid; Fabian Schmeisser; Mohammadmahdi Koochali; Mohsin Munir; Christoffer Edlund; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    Point2Mask: A Weakly Supervised Approach for Cell Segmentation using Point Annotation

    In: 2022 Annual Conference on Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (MIUA-2022), July 25-29, Cambridge, United Kingdom, MIUA, 2022.

  9. Mohammad Amin Rezaei; Arman Fathollahi; Sajad Rezaei; Jiefeng Hu; Meysam Gheisarnejad; Ali Reza Teimouri; Rituraj Rituraj; Amirhosein Mosavi; Mohammad-Hassan Khooban

    Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

    In: IEEE Access (IEEE), Vol. 10, Pages 132271-132287, IEEE, 12/2022.

  10. Chihiro Maru; Boris Brandherm; Ichiro Kobayashi

    Combining Transformer with a Discriminator for Anomaly Detection in Multivariate Time Series

    In: 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS). Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS-2022), November 29 - December 2, Ise, Japan, Pages 1-7, ISBN 978-1-6654-9924-8, IEEE, 11/2022.

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