Search Results - "Horn, Franziska"

"What is relevant in a text document?": An interpretable machine learning approach by Arras, Leila, Horn, Franziska, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech

“…Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML) models have been…”
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Automating the search for a patent's prior art with a full text similarity search by Helmers, Lea, Horn, Franziska, Biegler, Franziska, Oppermann, Tim, Müller, Klaus-Robert

“…More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an…”
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Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging by Doehrmann, Oliver, Ghosh, Satrajit S, Polli, Frida E, Reynolds, Gretchen O, Horn, Franziska, Keshavan, Anisha, Triantafyllou, Christina, Saygin, Zeynep M, Whitfield-Gabrieli, Susan, Hofmann, Stefan G, Pollack, Mark, Gabrieli, John D

“…Current behavioral measures poorly predict treatment outcome in social anxiety disorder (SAD). To our knowledge, this is the first study to examine…”
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Robust artifactual independent component classification for BCI practitioners by Winkler, Irene, Brandl, Stephanie, Horn, Franziska, Waldburger, Eric, Allefeld, Carsten, Tangermann, Michael

“…EEG artifacts of non-neural origin can be separated from neural signals by independent component analysis (ICA). It is unclear (1) how robustly recently…”
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Forecasting industrial aging processes with machine learning methods by Bogojeski, Mihail, Sauer, Simeon, Horn, Franziska, Müller, Klaus-Robert

“…•Machine learning models can be used to accurately forecast industrial aging processes.•Multiple machine learning models were tested using synthetic and…”
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Similarity Encoder: A Neural Network Architecture for Learning Similarity Preserving Embeddings by Horn, Franziska

“…Matrix factorization is at the heart of many machine learning algorithms, for example, for dimensionality reduction (e.g. kernel PCA) or recommender systems…”
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Induction of Heme Oxygenase-1 Is Linked to the Severity of Disease in Human Abdominal Aortic Aneurysm by Hofmann, Anja, Müglich, Margarete, Wolk, Steffen, Khorzom, Yazan, Sabarstinski, Pamela, Kopaliani, Irakli, Egorov, Dmitry, Horn, Franziska, Brunssen, Coy, Giebe, Sindy, Hamann, Bianca, Deussen, Andreas, Morawietz, Henning, Poitz, David M, Reeps, Christian

“…Background Rupture of abdominal aortic aneurysm (rAAA) is associated with high case fatality rates, and risk of rupture increases with the AAA diameter. Heme…”
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Bedeutung von Seneszenz im abdominellen Aortenaneurysma by Hofmann, Anja, Horn, Franziska, Wolk, Steffen, Reeps, Christian

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Interactive Exploration and Discovery of Scientific Publications with PubVis by Horn, Franziska

“…With an exponentially growing number of scientific papers published each year, advanced tools for exploring and discovering publications of interest are…”
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Context encoders as a simple but powerful extension of word2vec by Horn, Franziska

“…With a simple architecture and the ability to learn meaningful word embeddings efficiently from texts containing billions of words, word2vec remains one of the…”
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The DALPHI annotation framework & how its pre-annotations can improve annotator efficiency by Greinacher, Robert, Horn, Franziska

“…Producing the required amounts of training data for machine learning and NLP tasks often involves human annotators doing very repetitive and monotonous work…”
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The autofeat Python Library for Automated Feature Engineering and Selection by Horn, Franziska, Pack, Robert, Rieger, Michael

“…This paper describes the autofeat Python library, which provides scikit-learn style linear regression and classification models with automated feature…”
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Forecasting Industrial Aging Processes with Machine Learning Methods by Bogojeski, Mihail, Sauer, Simeon, Horn, Franziska, Müller, Klaus-Robert

“…Accurately predicting industrial aging processes makes it possible to schedule maintenance events further in advance, ensuring a cost-efficient and reliable…”
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Predicting Pairwise Relations with Neural Similarity Encoders by Horn, Franziska, Müller, Klaus-Robert

“…Bulletin of the Polish Academy of Sciences: Technical Sciences, 66(6):821-830, 2018 Matrix factorization is at the heart of many machine learning algorithms,…”
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Automating the search for a patent's prior art with a full text similarity search by Helmers, Lea, Horn, Franziska, Biegler, Franziska, Oppermann, Tim, Müller, Klaus-Robert

“…PLoS ONE 14(3): e0212103 (2019) More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection…”
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Discovering topics in text datasets by visualizing relevant words by Horn, Franziska, Arras, Leila, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech

“…When dealing with large collections of documents, it is imperative to quickly get an overview of the texts' contents. In this paper we show how this can be…”
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Exploring text datasets by visualizing relevant words by Horn, Franziska, Arras, Leila, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech

“…When working with a new dataset, it is important to first explore and familiarize oneself with it, before applying any advanced machine learning algorithms…”
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"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach by Arras, Leila, Horn, Franziska, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech

“…Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML) models have been…”
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Explaining Predictions of Non-Linear Classifiers in NLP by Arras, Leila, Horn, Franziska, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech

“…Layer-wise relevance propagation (LRP) is a recently proposed technique for explaining predictions of complex non-linear classifiers in terms of input…”
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