activity
20162020
most citedBagged Boosted Trees for Classification of Ecological Momentary Assessment Data

2 citations · 4 across the 4 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.IR20192 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.LG20162 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

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…