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Jahr: 2019
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  1. Merton Lansley; Nikolaos Polatidis; Stelios Kapetanakis; Kareem Amin; George Samakovitis; Miltos Petridis

    Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning

    In: Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Case-based reasoning and deep learning workshop. Case-Based Reasoning and Deep Learning Workshop (CBDRL-2019), located at Twenty-seventh International Conference on Case-Based Reasoning, September 9, Otzenhausen, Germany, ICCBR, 2019.

  2. Jonas Traub

    Demand-based data stream gathering, processing, and transmission

    PhD-Thesis, Technische Universität Berlin, 2019.

  3. Jonas Traub; Julius Hülsmann; Sebastian Breß; Tilmann Rabl; Volker Markl

    SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1912.04648, Page 4648, arXiv, 2019.

  4. Jonas Traub; Jorge Arnulfo Quiane Ruiz; Zoi Kaoudi; Volker Markl

    Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.03026, Page 3026, arXiv, 2019.

  5. Kareem Amin; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Cases without borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-based Reasoning

    In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence (AAAI SSS-2019), November 4-6, Portland, OR, USA, Pages 133-140, ISBN 978-1-7281-3798-8, IEEE Digital Library, 11/2019.

  6. Kareem Amin; Stelios Kapetanakis; Nikolaos Polatidis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Building Knowledge Intensive Architectures for heterogeneous NLP workflows

    In: Artificial Intelligence XXXVI. SGAI International Conference on Artificial Intelligence (AI-2019), December 17-19, Cambridge, United Kingdom, Springer, 2019.

  7. Daniel Kondratyuk

    Multilingual Learning using Syntactic Multi-Task Training

    Mastersthesis, Institute of Formal and Applied Linguistics, 2019.

  8. Daniel Kondratyuk

    Cross-Lingual Lemmatization and Morphology Tagging with Two-Stage Multilingual BERT Fine-Tuning

    In: Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology. Workshop on Computational Research in Phonetics, Phonology, and Morphology (SIGMORPHON-2019), August 1-2, Florence, Italy, Pages 12-18, Association for Computational Linguistics, 8/2019.

  9. Daniel Kondratyuk; Milan Straka

    75 Languages, 1 Model: Parsing Universal Dependencies Universally

    In: Proceedings of the Conference on Empirical Methods in Natural Language Processing 2019. Conference on Empirical Methods in Natural Language Processing (EMNLP-2019), November 3-7, Hong Kong, China, Pages 2779-2795, ISBN 978-1-950737-90-1, Association for Computational Linguistics, Stroudsburg, PA, USA, 11/2019.

  10. Jens Meyerjürgens; Thomas H Badewien; Oliver Zielinski

    Trajectories of state-of-the-art surface drifters reveal pathways of floating marine litter in the North Sea

    In: Journal of Geophysical Research: Oceans (JGR Oceans), Vol. 21, Pages 1-1, Copernicus Gesellschaft mbH, Göttingen, 1/2019.

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