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20152022
most citedOn the Explanation of Machine Learning Predictions in Clinical Gait Analysis

76 citations · 424 across the 21 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

stat.ML2018

Persistence Bag-of-Words for Topological Data Analysis

Bartosz Zieliński, Michał Lipiński, Mateusz Juda +2

Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs). PDs exhibit, however, complex struct…

cs.MM2018★ 1 cited

SoniControl - A Mobile Ultrasonic Firewall

Matthias Zeppelzauer, Alexis Ringot, Florian Taurer

The exchange of data between mobile devices in the near-ultrasonic frequency band is a new promising technology for near field communication (NFC) but also raises a number of priva…

cs.CV2018★ 22 cited

Visual Estimation of Building Condition with Patch-level ConvNets

David Koch, Miroslav Despotovic, Muntaha Sakeena +2

The condition of a building is an important factor for real estate valuation. Currently, the estimation of condition is determined by real estate appraisers which makes it subjecti…

cs.CV2018★ 52 cited

Automatic Prediction of Building Age from Photographs

Matthias Zeppelzauer, Miroslav Despotovic, Muntaha Sakeena +2

We present a first method for the automated age estimation of buildings from unconstrained photographs. To this end, we propose a two-stage approach that firstly learns characteris…

stat.ML2018

Persistence Codebooks for Topological Data Analysis

Bartosz Zielinski, Michal Lipinski, Mateusz Juda +2

Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs) which are 2D multisets of points. The…