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ORCIDIAL@PKDD/ECML 2024: Vilnius, Lithuania
- Mirko Bunse, Marek Herde, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Minh Tuan Pham, 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 2024), Vilnius, Lithuania, September 9th, 2024. CEUR Workshop Proceedings 3770, CEUR-WS.org 2024
Extended Abstracts
- Marek Herde, Tuan Pham Minh, Alaa Tharwat, Bernhard Sick:
Tutorial: Interactive Adaptive Learning. 1-6 - Manuel Röder, Frank-Michael Schleif:
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data. 7-11 - Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz:
Towards Deep Active Learning in Avian Bioacoustics. 12-17
Research Papers
- Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
Amortized Active Learning for Nonparametric Functions. 18-32 - Paul Hahn, Denis Huseljic, Marek Herde, Bernhard Sick:
General Reusability: Ensuring Long-Term Benefits of Deep Active Learning. 33-46 - Martin Holena, Jan Koza:
Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization. 47-67 - Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl:
Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes. 68-76 - Michiel P. Bron, Berend Greijn, Bruno Messina Coimbra, Rens van de Schoot, Ayoub Bagheri:
Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review. 77-95 - El Moundir Faraoun, Nédra Mellouli, Stephane Millot, Myriam Lamolle:
Contextual kNN Ensemble Retrieval Approach for Semantic Postal Address Matching. 96-111
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