AI for Explaining Decisions in Multi-Agent Environments

no code implementations • 10 Oct 2019 • Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath

Explanation is necessary for humans to understand and accept decisions made by an AI system when the system's goal is known.

Fairness

Explainable Deep Learning for Augmentation of sRNA Expression Profiles

no code implementations • 26 Sep 2019 • Jelena Fiosina, Maksims Fiosins, Stefan Bonn

In this study, we systematically benchmark deep learning (DL) and random forest (RF)-based metadata augmentation of tissue, age, and sex using small RNA (sRNA) expression profiles.

Data Augmentation Feature Importance

Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles

no code implementations • 26 Sep 2019 • Jelena Fiosina, Maksims Fiosins, Stefan Bonn

Automatic data-based augmentation (generation of annotations on the base of expression data) can considerably improve the annotation quality and has not been well-studied.

General Classification