IAL@ECML-PKDD 2024

Table of Contents

• PDF
  
• Tutorial: Interactive Adaptive Learning 1-6 PDF
  Marek Herde, Alaa Tharwat, Tuan Pham Minh, Bernhard Sick
• Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data 7-11 PDF
  Manuel Röder, Frank-Michael Schleif
• Towards Deep Active Learning in Avian Bioacoustics 12-17 PDF
  Denis Huseljic, Bernhard Sick, Lukas Rauch, Jens Decke, Moritz Wirth, Christoph Scholz 0001
• Amortized Active Learning for Nonparametric Functions 18-32 PDF
  Christoph Zimmer, Marc Toussaint, Cen-You Li, Barbara Rakitsch
• General Reusability: Ensuring Long-Term Benefits of Deep Active Learning 33-46 PDF
  Denis Huseljic, Bernhard Sick, Paul Hahn, Marek Herde
• Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization 47-67 PDF
  Martin Holena, Jan Koza
• Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes 68-76 PDF
  Christian Gruhl, Bernhard Sick, Jens Decke, Alexander Heinen
• Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review 77-95 PDF
  Ayoub Bagheri, Rens van de Schoot, Michiel P. Bron, Bruno Messina Coimbra, Berend Greijn
• Contextual kNN Ensemble Retrieval Approach for Semantic Postal Address Matching 96-111 PDF
  Myriam Lamolle, Nedra Mellouli, El Moundir Faraoun, Stephane Millot