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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 -
Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access cited by 1 patent
Bojing Liu, Meaghan Polack, Nicolas Coudray, Adalberto Claudio Quiros, Theodore Sakellaropoulos, A. Stijn L. P. Crobach, +5 more
8citations -
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn2022 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access
Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aarón Pérez Martín, +4 more
0citations -
Adapting to uncertainty: The role of anxiety and fear of negative evaluation in learning in social and non-social contexts2024 preprint Psychology Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Open access
Selin Topel, Ili Ma, Anna C. K. van Duijvenvoorde, Henk van Steenbergen, Ellen de Bruijn
1citations -
Dissecting the Complexities of Learning With Infinite Hidden Markov Models2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Memory and Neural Mechanisms Open access
Sebastian A. Bruijns, Kcénia Bougrova, Inês C. Laranjeira, Petrina Lau, Guido T. Meijer, Nathaniel J Miska, +6 more
9citations