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ORCIDIAL@PKDD/ECML 2023: Torino, Italy
- Mirko Bunse, Barbara Hammer, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Amal Saadallah:
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), Torino, Italy, September 22nd, 2023. CEUR Workshop Proceedings 3470, CEUR-WS.org 2023
Extended Abstracts
- Mirko Bunse, Georg Krempl, Alaa Tharwat, Amal Saadallah:
Tutorial: Interactive Adaptive Learning. 1-8 - Christian Beyer, Maik Büttner, Myra Spiliopoulou:
Challenges for Active Feature Acquisition and Imputation on Data Streams. 9-13 - Marek Herde, Denis Huseljic, Bernhard Sick, Ulrich Bretschneider, Sarah Oeste-Reiß:
Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning. 14-18 - Denis Huseljic, Marek Herde, Paul Hahn, Bernhard Sick:
Role of Hyperparameters in Deep Active Learning. 19-24
Research Papers
- Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick:
Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. 25-45 - Klest Dedja, Felipe Kenji Nakano, Celine Vens:
Active Learning for Survival Analysis with Incrementally Disclosed Label Information. 46-64 - Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick:
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. 65-73 - Hilde J. P. Weerts, Renée Theunissen, Martijn C. Willemsen:
Look and You Will Find It: Fairness-Aware Data Collection through Active Learning. 74-88 - Ons Saadallah, Zied Rouissi:
Interpretable Meta-Active Learning for Regression Ensemble Learning. 89-103
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