• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 72 matches

• 2024
• 
  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. IAL@PKDD/ECML 2024: 77-95
• 
  Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl:
  Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes. IAL@PKDD/ECML 2024: 68-76
• 
  El Moundir Faraoun, Nédra Mellouli, Stephane Millot, Myriam Lamolle:
  Contextual kNN Ensemble Retrieval Approach for Semantic Postal Address Matching. IAL@PKDD/ECML 2024: 96-111
• 
  Paul Hahn, Denis Huseljic, Marek Herde, Bernhard Sick:
  General Reusability: Ensuring Long-Term Benefits of Deep Active Learning. IAL@PKDD/ECML 2024: 33-46
• 
  Marek Herde, Tuan Pham Minh, Alaa Tharwat, Bernhard Sick:
  Tutorial: Interactive Adaptive Learning. IAL@PKDD/ECML 2024: 1-6
• 
  Martin Holena, Jan Koza:
  Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization. IAL@PKDD/ECML 2024: 47-67
• 
  Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
  Amortized Active Learning for Nonparametric Functions. IAL@PKDD/ECML 2024: 18-32
• 
  Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz:
  Towards Deep Active Learning in Avian Bioacoustics. IAL@PKDD/ECML 2024: 12-17
• 
  Manuel Röder, Frank-Michael Schleif:
  Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data. IAL@PKDD/ECML 2024: 7-11
• 
  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 [contents]
• 2023
• 
  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. IAL@PKDD/ECML 2023: 65-73
• 
  Christian Beyer, Maik Büttner, Myra Spiliopoulou:
  Challenges for Active Feature Acquisition and Imputation on Data Streams. IAL@PKDD/ECML 2023: 9-13
• 
  Mirko Bunse, Georg Krempl, Alaa Tharwat, Amal Saadallah:
  Tutorial: Interactive Adaptive Learning. IAL@PKDD/ECML 2023: 1-8
• 
  Klest Dedja, Felipe Kenji Nakano, Celine Vens:
  Active Learning for Survival Analysis with Incrementally Disclosed Label Information. IAL@PKDD/ECML 2023: 46-64
• 
  Marek Herde, Denis Huseljic, Bernhard Sick, Ulrich Bretschneider, Sarah Oeste-Reiß:
  Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning. IAL@PKDD/ECML 2023: 14-18
• 
  Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick:
  Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. IAL@PKDD/ECML 2023: 25-45
• 
  Denis Huseljic, Marek Herde, Paul Hahn, Bernhard Sick:
  Role of Hyperparameters in Deep Active Learning. IAL@PKDD/ECML 2023: 19-24
• 
  Ons Saadallah, Zied Rouissi:
  Interpretable Meta-Active Learning for Regression Ensemble Learning. IAL@PKDD/ECML 2023: 89-103
• 
  Hilde J. P. Weerts, Renée Theunissen, Martijn C. Willemsen:
  Look and You Will Find It: Fairness-Aware Data Collection through Active Learning. IAL@PKDD/ECML 2023: 74-88
• 
  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 [contents]
• 2022
• 
  Sandra Gilhuber, Max Berrendorf, Yunpu Ma, Thomas Seidl:
  Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations. IAL@PKDD/ECML 2022: 43-48
• 
  Marek Herde, Denis Huseljic, Jelena Mitrovic, Michael Granitzer, Bernhard Sick:
  A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning. IAL@PKDD/ECML 2022: 1-6
• 
  Lukas Rauch, Denis Huseljic, Bernhard Sick:
  Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources. IAL@PKDD/ECML 2022: 27-42
• 
  Benjamin Rombaut, Joris Roels, Yvan Saeys:
  BioSegment: Active Learning segmentation for 3D electron microscopy imaging. IAL@PKDD/ECML 2022: 7-26
• 
  Jan Schneegans, Maarten Bieshaar, Bernhard Sick:
  A Practical Evaluation of Active Learning Approaches for Object Detection. IAL@PKDD/ECML 2022: 49-67
• 
  Martin Senz, Mirko Bunse, Katharina Morik:
  Certifiable Active Class Selection in Multi-Class Classification. IAL@PKDD/ECML 2022: 68-76
• 
  Georg Krempl, Vincent Lemaire, Daniel Kottke, Andreas Holzinger, Barbara Hammer:
  Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain, September 13, 2021. CEUR Workshop Proceedings 3079, CEUR-WS.org 2022 [contents]
• 
  Daniel Kottke, Georg Krempl, Andreas Holzinger, Barbara Hammer:
  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 2022), Grenoble, France, September 23, 2022. CEUR Workshop Proceedings 3259, CEUR-WS.org 2022 [contents]
• 2021
• 
  Alexandre Abraham, Léo Dreyfus-Schmidt:
  Sample Noise Impact on Active Learning. IAL@PKDD/ECML 2021: 80-88
• 
  Maria Arostegi, Jesus L. Lobo, Javier Del Ser:
  SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency. IAL@PKDD/ECML 2021: 50-64

skipping 42 more matches