4.4k citations · 4.8k across the 50 of their papers we have counts for
5 papers · 1 filter
End-to-End Image-Based Fashion Recommendation
Shereen Elsayed, Lukas Brinkmeyer, Lars Schmidt-Thieme
In fashion-based recommendation settings, incorporating the item image features is considered a crucial factor, and it has shown significant improvements to many traditional models…
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG
Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed +8
Machine learning is being widely adapted in industrial applications owing to the capabilities of commercially available hardware and rapidly advancing research. Volkswagen Financia…
Optimal Time-Series Motifs
Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme
Motifs are the most repetitive/frequent patterns of a time-series. The discovery of motifs is crucial for practitioners in order to understand and interpret the phenomena occurring…
Time-Series Classification Through Histograms of Symbolic Polynomials
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme
Time-series classification has attracted considerable research attention due to the various domains where time-series data are observed, ranging from medicine to econometrics. Trad…
Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems
Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Cai-Nicolas Ziegler
The advent of the Semantic Web necessitates paradigm shifts away from centralized client/server architectures towards decentralization and peer-to-peer computation, making the exis…