60 citations · 74 across the 6 of their papers we have counts for
6 papers
Improving prediction models by incorporating external data with weights based on similarity
Max Behrens, Maryam Farhadizadeh, Angelika Rohde +4
In clinical settings, we often face the challenge of building prediction models based on small observational data sets. For example, such a data set might be from a medical center…
Sequential Item Recommendation in the MOBA Game Dota 2
Alexander Dallmann, Johannes Kohlmann, Daniel Zoller +1
Multiplayer Online Battle Arena (MOBA) games such as Dota 2 attract hundreds of thousands of players every year. Despite the large player base, it is still important to attract new…
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
Alexander Dallmann, Daniel Zoller, Andreas Hotho
At the present time, sequential item recommendation models are compared by calculating metrics on a small item subset (target set) to speed up computation. The target set contains…
Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints
Daniela Zöller, Harald Binder
The discovery of clinical biomarkers requires large patient cohorts and is aided by a pooled data approach across institutions. In many countries, data protection constraints, espe…
Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time
Alexander Dallmann, Alexander Grimm, Christian Pölitz +2
Recently, Recurrent Neural Networks (RNNs) have been applied to the task of session-based recommendation. These approaches use RNNs to predict the next item in a user session based…
Of course we share! Testing Assumptions about Social Tagging Systems
Stephan Doerfel, Daniel Zoller, Philipp Singer +3
Social tagging systems have established themselves as an important part in today's web and have attracted the interest from our research community in a variety of investigations. T…