activity
20162020
most citedAMSOM: Adaptive Moving Self-organizing Map for Clustering and Visualization

9 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Can we detect harmony in artistic compositions? A machine learning approach

Adam Vandor, Marie van Vollenhoven, Gerhard Weiss +1

Harmony in visual compositions is a concept that cannot be defined or easily expressed mathematically, even by humans. The goal of the research described in this paper was to find…

cs.IR2019

Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering

Dimitrios Rafailidis, Gerhard Weiss

Nowadays, users open multiple accounts on social media platforms and e-commerce sites, expressing their personal preferences on different domains. However, users' behaviors change…

cs.IR2019★ 2 cited

A Neural Attention Model for Adaptive Learning of Social Friends' Preferences

Dimitrios Rafailidis, Gerhard Weiss

Social-based recommendation systems exploit the selections of friends to combat the data sparsity on user preferences, and improve the recommendation accuracy of the collaborative…

cs.LG2016★ 2 cited

Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data

Gerasimos Spanakis, Gerhard Weiss, Anne Roefs

Ecological Momentary Assessment (EMA) data is organized in multiple levels (per-subject, per-day, etc.) and this particular structure should be taken into account in machine learni…

cs.AI2016★ 9 cited

AMSOM: Adaptive Moving Self-organizing Map for Clustering and Visualization

Gerasimos Spanakis, Gerhard Weiss

Self-Organizing Map (SOM) is a neural network model which is used to obtain a topology-preserving mapping from the (usually high dimensional) input/feature space to an output/map s…