21 citations · 53 across the 16 of their papers we have counts for
4 papers · 1 filter
A Machine Learning Framework Towards Transparency in Experts' Decision Quality
Wanxue Dong, Maytal Saar-Tsechansky, Tomer Geva
Expert workers make non-trivial decisions with significant implications. Experts' decision accuracy is thus a fundamental aspect of their judgment quality, key to both management a…
Cost-Accuracy Aware Adaptive Labeling for Active Learning
Ruijiang Gao, Maytal Saar-tsechansky
Conventional active learning algorithms assume a single labeler that produces noiseless label at a given, fixed cost, and aim to achieve the best generalization performance for giv…
Human-AI Collaboration with Bandit Feedback
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga +3
Human-machine complementarity is important when neither the algorithm nor the human yield dominant performance across all instances in a given domain. Most research on algorithmic…
Modeling Longitudinal Dynamics of Comorbidities
Basil Maag, Stefan Feuerriegel, Mathias Kraus +2
In medicine, comorbidities refer to the presence of multiple, co-occurring diseases. Due to their co-occurring nature, the course of one comorbidity is often highly dependent on th…