100 citations
- Leibniz University HannoverDE89 papers
- Technische Informationsbibliothek (TIB)DE40 papers
- University of BonnDE13 papers
- GESIS - Leibniz Institute for the Social SciencesDE7 papers
- Indian Institute of Technology KharagpurIN6 papers
- University of KasselDE6 papers
- Delft University of TechnologyNL4 papers
- Freie Universität BerlinDE4 papers
- German Research Centre for Artificial IntelligenceDE4 papers
- Aalborg UniversityDK3 papers
- FIZ Karlsruhe – Leibniz Institute for Information InfrastructureDE3 papers
- FORTH Institute of Computer ScienceGR3 papers
6 papers · 2 filters
FCA2VEC: Embedding Techniques for Formal Concept Analysis
Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann
Embedding large and high dimensional data into low dimensional vector spaces is a necessary task to computationally cope with contemporary data sets. Superseding latent semantic an…
Neural Random Forest Imitation
Christoph Reinders, Bodo Rosenhahn
We present Neural Random Forest Imitation - a novel approach for transforming random forests into neural networks. Existing methods propose a direct mapping and produce very ineffi…
AdaFair: Cumulative Fairness Adaptive Boosting
Vasileios Iosifidis, Eirini Ntoutsi
The widespread use of ML-based decision making in domains with high societal impact such as recidivism, job hiring and loan credit has raised a lot of concerns regarding potential…
Fairness-enhancing interventions in stream classification
Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
The wide spread usage of automated data-driven decision support systems has raised a lot of concerns regarding accountability and fairness of the employed models in the absence of…
A Comparative Study for Unsupervised Network Representation Learning
Megha Khosla, Vinay Setty, Avishek Anand
There has been appreciable progress in unsupervised network representation learning (UNRL) approaches over graphs recently with flexible random-walk approaches, new optimization ob…
"Is this an example image?" -- Predicting the Relative Abstractness Level of Image and Text
Christian Otto, Sebastian Holzki, Ralph Ewerth
Successful multimodal search and retrieval requires the automatic understanding of semantic cross-modal relations, which, however, is still an open research problem. Previous work…