271 citations · 359 across the 8 of their papers we have counts for
11 papers
Forecasting Industrial Aging Processes with Machine Learning Methods
Mihail Bogojeski, Simeon Sauer, Franziska Horn +1
Accurately predicting industrial aging processes makes it possible to schedule maintenance events further in advance, ensuring a cost-efficient and reliable operation of the plant.…
Automating the search for a patent's prior art with a full text similarity search
Lea Helmers, Franziska Horn, Franziska Biegler +2
More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an invention being patentable, i…
The autofeat Python Library for Automated Feature Engineering and Selection
Franziska Horn, Robert Pack, Michael Rieger
This paper describes the autofeat Python library, which provides scikit-learn style linear regression and classification models with automated feature engineering and selection cap…
The DALPHI annotation framework & how its pre-annotations can improve annotator efficiency
Robert Greinacher, Franziska Horn
Producing the required amounts of training data for machine learning and NLP tasks often involves human annotators doing very repetitive and monotonous work. In this paper, we pres…
Discovering topics in text datasets by visualizing relevant words
Franziska Horn, Leila Arras, Grégoire Montavon +2
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 achieved by using a clus…
Exploring text datasets by visualizing relevant words
Franziska Horn, Leila Arras, Grégoire Montavon +2
When working with a new dataset, it is important to first explore and familiarize oneself with it, before applying any advanced machine learning algorithms. However, to the best of…
Interactive Exploration and Discovery of Scientific Publications with PubVis
Franziska Horn
With an exponentially growing number of scientific papers published each year, advanced tools for exploring and discovering publications of interest are becoming indispensable. To…
Context encoders as a simple but powerful extension of word2vec
Franziska Horn
With a simple architecture and the ability to learn meaningful word embeddings efficiently from texts containing billions of words, word2vec remains one of the most popular neural…
Predicting Pairwise Relations with Neural Similarity Encoders
Franziska Horn, Klaus-Robert Müller
Matrix factorization is at the heart of many machine learning algorithms, for example, dimensionality reduction (e.g. kernel PCA) or recommender systems relying on collaborative fi…
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach
Leila Arras, Franziska Horn, Grégoire Montavon +2
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 trained to automatic…
Explaining Predictions of Non-Linear Classifiers in NLP
Leila Arras, Franziska Horn, Grégoire Montavon +2
Layer-wise relevance propagation (LRP) is a recently proposed technique for explaining predictions of complex non-linear classifiers in terms of input variables. In this paper, we…