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Publications

Displaying results 311 to 320 of 681.

  1. Marco Stricker; Muhammad Nabeel Asim; Andreas Dengel; Sheraz Ahmed

    CircNet: An encoder–decoder-based convolution neural network (CNN) for circular RNA identification

    In: Neural Computing and Applications, Vol. 34, Pages 11441-11452, Springer, London, 1/2021.

  2. Muhammad Nabeel Asim; Muhammad Imran Malik; Christoph Zehe; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    MirLocPredictor: a ConvNet-based multi-label MicroRNA subcellular localization predictor by incorporating k-Mer positional information

    In: Genes, Vol. 11, No. 12 (1475), Pages 1-23, MDPI, 2020.

  3. Ashlam Ahmed Abadulla; Atta Badii; Frederic Theodor Stahl

    A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks

    In: Abdessattar Ben Amor; Salwa Elloumi; Samir Nejim; Nabila Dhahbi; Hassène Gritli; Naoufel Machta (Hrsg.). 5th International Conference on Advanced Systems and Emergent Technologies. International Conference on Advanced Systems and Emergent Technologies (IC_ASET-2022), March 22-25, Hammamet, Tunisia, Pages 513-517, ISBN 978-1-6654-2735-7, IEEE, 2022.

  4. Adriano Lucieri; Fabian Schmeisser; Christoph Peter Balada; Muhammad Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

    In: Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb (Hrsg.). Annual Conference on Medical Image Understanding and Analysis - MIUA 2022. Medical Image Understanding and Analysis (MIUA-2022), July 27-29, Cambridge, United Kingdom, Pages 46-61, LNCS, Vol. 13413, ISBN 978-3-031-12052-7, Springer, Cham, 7/2022.

  5. Melle Mendikowski; Mattis Hartwig

    Creating Customers That Never Existed - Synthesis of E-commerce Data Using CTGAN

    In: ibai - publishing (Hrsg.). Machine Learning and Data Mining in Pattern Recognition. International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM-2022), 18th International Conference on Machine Learning and Data Mining, July 16-21, New York, New York, USA, Pages 91-105, Vol. 284, ISBN 978-3-942952-93-4, Springer, Heidelberg, 7/2022.

  6. Goutham Kallempudi; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Toward Semi-Supervised Graphical Object Detection in Document Images

    In: Future Internet (MDPI), Vol. 14, No. 6, Pages 176-198, MDPI, Switzerland, 6/2022.

  7. Qiuheng Zhou; Wei Jiang; Donglin Wang; Hans D. Schotten (Hrsg.)

    Deep Learning-Based Signal-to-Noise Ratio Prediction for Realistic Wireless Communication

    IEEE Vehicular Technology Conference (VTC-2022), June 19-22, Helsinki, Finland, IEEE, 2022.

  8. Viktor Eisenstadt; Jessica Bielski; Burak Mete; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Autocompletion of Floor Plans for the Early Design Phase in Architecture: Foundations, Existing Methods, and Research Outlook

    In: POST-CARBON - Proceedings of the 27th CAADRIA Conference. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2022), Pages 323-332, CUMINCAD, 2022.

  9. Benjamin Paaßen; Irena Koprinska; Kalina Yacef

    Recursive tree grammar autoencoders

    In: Peggy Cellier; Krzysztof Dembczynski; Albrecht Zimmermann; Emilie Devijver (Hrsg.). Machine Learning, Vol. Special Issue of the ECML PKDD 2022 Journal Track, Pages 1-31, Springer, 2022.

  10. Maximilian Hoffmann; Ralph Bergmann

    Improving Automated Hyperparameter Optimization with Case-Based Reasoning

    In: Mark T. Keane; Nirmalie Wiratunga (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR), Springer, Cham, 2022.

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