output
20142020
most citedAn Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

90 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

stat.ML2020★ 15 cited

Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring

Michael Bücker, Gero Szepannek, Alicja Gosiewska +1

A major requirement for credit scoring models is to provide a maximally accurate risk prediction. Additionally, regulators demand these models to be transparent and auditable. Thus…

cs.LG2019★ 90 cited

An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

Hyeryung Jang, Osvaldo Simeone, Brian Gardner +1

Spiking neural networks (SNNs) are distributed trainable systems whose computing elements, or neurons, are characterized by internal analog dynamics and by digital and sparse synap…

cs.GT2016★ 4 cited

Game-Theoretic Model of Incentivizing Privacy-Aware Users to Consent to Location Tracking

Emmanouil Panaousis, Aron Laszka, Johannes Pohl +2

Nowadays, mobile users have a vast number of applications and services at their disposal. Each of these might impose some privacy threats on users' "Personally Identifiable Informa…

q-bio.BM2014★ 22 cited

Affinity, stoichiometry and cooperativity of heterochromatin protein 1 (HP1) binding to nucleosomal arrays

Vladimir B. Teif, Nick Kepper, Klaus Yserentant +2

Heterochromatin protein 1 (HP1) participates in establishing and maintaining heterochromatin via its histone modification dependent chromatin interactions. In recent papers HP1 bin…