Papers matching “training data selection” 125
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Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
0citations -
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection2023 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
4citations -
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection2025 Underline Science Inc. other Computer Science Hate Speech and Cyberbullying Detection Open access
Association for Computational Linguistics 2025, Jose Maria Alonso, Dennis Assenmacher, Rabiraj Bandyopadhyay, Claudia Wagner
0citations -
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization - Reproducibility Repository2023 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovič, Ana Nikolikj, Urban Škvorc, +3 more
0citations -
Anomaly Detection in Intensive Care Unit Data: A Comparative Analysis2026 International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) conference-paper Computer Science Anomaly Detection Techniques and Applications
Simon Fonck, Lavinia Goldermann, Sebastian Johannes Fritsch, Lena Olivier, André Stollenwerk
0citations -
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data2022 International Conference on Computer and Automation Engineering conference-paper Computer Science Seismology and Earthquake Studies Open access
Fan Yang, Marios Kefalas, Anna V. Kononova, Yanan Qiao, Thomas Bäck
11citations -
Large-Scale Modeling of Sparse Protein Kinase Activity Data2023 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Sohvi Luukkonen, Erik Meijer, Giovanni A. Tricarico, Johan Hofmans, Pieter F. W. Stouten, Gerard J. P. van Westen, +1 more
14citations -
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection261citations