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Year: 2022
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Displaying results 41 to 50 of 79.

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

    Chasing the White Rabbit: A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board

    In: Proceedings of the 13th International Conference on Computational Creativity. International Conference on Computational Creativity (ICCC-22), 13th, June 27 - July 1, Bolzano, Italy, Pages 73-77, ISBN 978-989-54160-4-2, Association for Computational Creativity (ACC), 6/2022.

  2. Ahmet Kerem Aksoy; Pavel Dushev; Eleni Tzirita Zacharatou; Holmer Hemsen; Marcela Charfuelan Oliva; Jorge Arnulfo Quiane Ruiz; Begüm Demir; Volker Markl

    Satellite Image Search in AgoraEO

    In: Fatma Ozcan; Juliana Freire; Xuemin Li (Hrsg.). Proceedings of the 48th International Conference on Very Large Databases. International Conference on Very Large Data Bases (VLDB-2022), September 5-9, Sydney, Australia, Pages 3646-3649, Vol. 15, No. 12, VLDB Endowment Inc, 8/2022.

  3. Hamraz Javaheri; Sencer Melih Deniz; Juan Felipe Vargas; Dogan Urgun; Fariza Sabit; Mahmut Tok; Mehmet Haklidir; Bo Zhou; Paul Lukowicz

    Prediction of Lifted Weight Category Using EEG Equipped Headgear

    In: IEEÉ-BHI-BSN 2022. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-22), IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’22) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN’22, Ioannina, Greece, IEEE EMBS, 2022.

  4. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    Towards Decentralized Parameter Servers for Secure Federated Learning

    In: Alfredo Cuzzocrea; Oleg Gusikhin; Wil M. P. van der Aalst; Slimane Hammoudi (Hrsg.). Proceedings of the 11th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2022), July 11-13, Lisbon, Portugal, Pages 257-269, SCITEPRESS, 2022.

  5. Julia Andresen; Timo Kepp; Jan Ehrhardt; Claus von der Burchard; Johann Roider; Heinz Handels

    Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 17, No. 4, Pages 699-710, Springer, 2022.

  6. Hristina Uzunova; Matthias Wilms; Nils D Forkert; Heinz Handels; Jan Ehrhardt

    A systematic comparison of generative models for medical images

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 17, Pages 1-12, Springer, 2022.

  7. Víctor Uc-Cetina; Nicolás Navarro-Guerrero; Anabel Martin-Gonzalez; Cornelius Weber; Stefan Wermter

    Survey on Reinforcement Learning for Language Processing

    In: Artificial Intelligence Review, Vol. 1, Pages 1-33, Springer, 6/2022.

  8. 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.

  9. 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.

  10. 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.

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