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Auflistung nach Autor:in "Meyer, Melina"

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  • Konferenzbeitrag
    Anomaly Detection in Supermarket Refrigeration Systems using Transformer Models: A Comparative Study
    (INFORMATIK 2024, 2024) Meyer, Melina; Gergeleit, Martin; Krechel, Dirk
    This study investigates anomaly detection methods in supermarket refrigeration systems. A transformer-based model is introduced in this field and compared with LSTM autoencoders. The models are trained and evaluated using preprocessed refrigeration data, with parameters optimized for accuracy, recall, precision, and F1 score. Our findings aim to enhance system monitoring and maintenance strategies, ultimately improving reliability, energy efficiency, and operational excellence in supermarket refrigeration technology.
  • Textdokument
    Citcom – Citation Recommendation
    (INFORMATIK 2020, 2021) Meyer, Melina; Frey, Jenny; Laub, Tamino; Wrzalik, Marco; Krechel, Dirk
    Citation recommendation aims to predict references based on a given text. In this paper, we focus on predicting references using small passages instead of a whole document. Besides using a search engine as baseline, we introduce two further more advanced approaches that are based on neural networks. The first one aims to learn an alignment between a passage encoder and reference embeddings while using a feature engineering approach including a simple feed forward network. The second model takes advantage of BERT, a state-of-the-art language representation model, to generate context-sensitive passage embeddings. The predictions of the second model are based on inter-passage similarities between the given text and indexed sentences, each associated with a set of references. For training and evaluation of our models, we prepare a large dataset consisting of English papers from various scientific disciplines.