no code implementations • 4 Mar 2022 • Amir Hossein Akhavan Rahnama, Judith Butepage
Instead of using black-box models, such as neural networks, we propose to focus on tree-based LTR models, from which we can extract the ground truth feature importance scores using decision paths.
no code implementations • 4 Jun 2021 • Amir Hossein Akhavan Rahnama, Judith Butepage, Pierre Geurts, Henrik Bostrom
Evaluating explanation techniques using human subjects is costly, time-consuming and can lead to subjectivity in the assessments.
1 code implementation • 26 Mar 2020 • Thomas Ziegler, Judith Butepage, Michael C. Welle, Anastasiia Varava, Tonci Novkovic, Danica Kragic
Research on automated, image based identification of clothing categories and fashion landmarks has recently gained significant interest due to its potential impact on areas such as robotic clothing manipulation, automated clothes sorting and recycling, and online shopping.
no code implementations • 15 Nov 2017 • Cheng Zhang, Judith Butepage, Hedvig Kjellstrom, Stephan Mandt
Many modern unsupervised or semi-supervised machine learning algorithms rely on Bayesian probabilistic models.