73 citations · 176 across the 10 of their papers we have counts for
10 papers
Collecting Prosody in the Wild: A Content-Controlled, Privacy-First Smartphone Protocol and Empirical Evaluation
Timo K. Koch, Florian Bemmann, Ramona Schoedel +2
Collecting everyday speech data for prosodic analysis is challenging due to the confounding of prosody and semantics, privacy constraints, and participant compliance. We introduce…
Aligning Generalisation Between Humans and Machines
Filip Ilievski, Barbara Hammer, Frank van Harmelen +22
Recent advances in AI -- including generative approaches -- have resulted in technology that can support humans in scientific discovery and forming decisions, but may also disrupt…
Putting Language into Context Using Smartphone-Based Keyboard Logging
Florian Bemmann, Timo Koch, Maximilian Bergmann +4
While the study of language as typed on smartphones offers valuable insights, existing data collection methods often fall short in providing contextual information and ensuring use…
Against Algorithmic Exploitation of Human Vulnerabilities
Inga Strümke, Marija Slavkovik, Clemens Stachl
Decisions such as which movie to watch next, which song to listen to, or which product to buy online, are increasingly influenced by recommender systems and user models that incorp…
Factorized Structured Regression for Large-Scale Varying Coefficient Models
David Rügamer, Andreas Bender, Simon Wiegrebe +4
Recommender Systems (RS) pervade many aspects of our everyday digital life. Proposed to work at scale, state-of-the-art RS allow the modeling of thousands of interactions and facil…
Digital Voodoo Dolls
Marija Slavkovik, Clemens Stachl, Caroline Pitman +1
An institution, be it a body of government, commercial enterprise, or a service, cannot interact directly with a person. Instead, a model is created to represent us. We argue the e…
Grouped Feature Importance and Combined Features Effect Plot
Quay Au, Julia Herbinger, Clemens Stachl +2
Interpretable machine learning has become a very active area of research due to the rising popularity of machine learning algorithms and their inherently challenging interpretabili…
Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach
Sarah Theres Völkel, Ramona Schödel, Daniel Buschek +4
We present the first systematic analysis of personality dimensions developed specifically to describe the personality of speech-based conversational agents. Following the psycholex…
Component-Wise Boosting of Targets for Multi-Output Prediction
Quay Au, Daniel Schalk, Giuseppe Casalicchio +3
Multi-output prediction deals with the prediction of several targets of possibly diverse types. One way to address this problem is the so called problem transformation method. This…
Multilabel Classification with R Package mlr
Philipp Probst, Quay Au, Giuseppe Casalicchio +2
We implemented several multilabel classification algorithms in the machine learning package mlr. The implemented methods are binary relevance, classifier chains, nested stacking, d…