Explaining Predictions of Non-Linear Classifiers in NLP. - Leila Arras; Franziska Horn; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (Rep4NLP@ACL, 2016)

"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach. - Leila Arras; Franziska Horn; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (CoRR, 2016)

Context encoders as a simple but powerful extension of word2vec. - Franziska Horn (Rep4NLP@ACL, 2017)

Interactive Exploration and Discovery of Scientific Publications with PubVis. - Franziska Horn (CoRR, 2017)

Exploring text datasets by visualizing relevant words. - Franziska Horn; Leila Arras; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (CoRR, 2017)

Discovering topics in text datasets by visualizing relevant words. - Franziska Horn; Leila Arras; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (CoRR, 2017)

Learning similarity preserving representations with neural similarity encoders. - Franziska Horn; Klaus-Robert Müller (CoRR, 2017)

The DALPHI annotation framework & how its pre-annotations can improve annotator efficiency. - Robert Greinacher; Franziska Horn (CoRR, 2018)

The autofeat Python Library for Automated Feature Engineering and Selection. - Franziska Horn; Robert Pack; Michael Rieger (PKDD/ECML Workshops (1), 2019)

Automating the search for a patent's prior art with a full text similarity search. - Lea Helmers; Franziska Horn; Franziska Biegler; Tim Oppermann; Klaus-Robert Müller (CoRR, 2019)

The autofeat Python Library for Automatic Feature Engineering and Selection. - Franziska Horn; Robert Pack; Michael Rieger (CoRR, 2019)

Similarity encoder: A neural network architecture for learning similarity preserving embeddings. - Franziska Horn (2020)

Exploring Word Usage Change with Continuously Evolving Embeddings. - Franziska Horn (ACL (demo), 2021)

Forecasting industrial aging processes with machine learning methods. - Mihail Bogojeski; Simeon Sauer; Franziska Horn; Klaus-Robert Müller (Comput. Chem. Eng., 2021)