Auflistung nach Schlagwort "neural network"

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  • A Cross-Country Model for End-Use Specific Aggregated Household Load Profiles 
    Schlemminger, Marlon; Niepelt, Raphael; Brendel, Rolf (Basel : MDPI, 2021)
    End-use specific residential electricity load profiles are of interest for energy system modelling that requires future load curves or demand-side management. We present a model that is applicable across countries to predict ...
  • Global Triggers for Attacking and Analyzing Ranking Models 
    Wang, Yumeng (Hannover : Gottfried Wilhelm Leibniz Universität, 2022)
    Text ranking models based on BERT are now well established for a wide range of pas- sage and document ranking tasks. However, the robustness of BERT-based ranking models under adversarial attack is under-explored. In ...
  • On the Impact of Dataset Size: A Twitter Classification Case Study 
    Nguyen, Thi Huyen; Nguyen, Hoang H.; Ahmadi, Zahra; Hoang, Tuan-Anh; Doan, Thanh-Nam (New York,NY,United States : Association for Computing Machinery, 2021)
    The recent advent and evolution of deep learning models and pre-trained embedding techniques have created a breakthrough in supervised learning. Typically, we expect that adding more labeled data improves the predictive ...
  • Quantum neural networks 
    Beer, Kerstin (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022)
    Quantum computing is one of the most exciting research areas of the last decades. At the same time, methods of machine learning have started to dominate science, industry and our everyday life. In this thesis we combine ...
  • “The Rodney Dangerfield of Stylistic Devices”: End-to-End Detection and Extraction of Vossian Antonomasia Using Neural Networks 
    Schwab, Michel; Jäschke, Robert; Fischer, Frank (Lausanne : Frontiers Media, 2022)
    Vossian Antonomasia (VA) is a well-known stylistic device based on attributing a certain property to a person by relating them to another person who is famous for this property. Although the morphological and semantic ...
  • Updating structural wind turbine blade models via invertible neural networks 
    Noever Castelos, Pablo (Hannover : Institut für Windenergiesystem, Leibniz Universität Hannover, 2023)
    Wind turbine rotor blades are huge and complex composite structures that are exposed to exceptionally high loads, both extreme and fatigue loads. These can result in damages causing severe downtimes or repair costs. It is ...