Published in Bioinformatics, 2021
cmd-iaso is a decoupled, modular and scriptable curation tool built on top of the existing identifiers.org platform.
Recommended citation: Tyree, J. & Hermjakob, H. & Llinares, M. B. (2021) A decoupled, modular and scriptable architecture for tools to curate data platforms. Bioinformatics. btab233. Available from: doi:10.1093/bioinformatics/btab233.
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Published in Lecture Notes in Computer Science, 2023
χiplot is an HTML5-based system for interactive exploration of data and machine learning models.
Recommended citation: Tanaka, A., Tyree, J., Björklund, A., Mäkelä, J., and Puolamäki, K. (2023) χiplot: Web-First Visualisation Platform for Multidimensional Data. In: De Francisci Morales, G., Perlich, C., Ruchansky, N., Kourtellis, N., Baralis, E., Bonchi, F. (eds) Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track. ECML PKDD 2023. Lecture Notes in Computer Science, 14175. Available from: doi:10.1007/978-3-031-43430-3_26.
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Published in University of Helsinki, 2023
The Icarus Response Surface Model architecture combines an out-of-distribution detector, a prediction model, and an uncertainty quantifier.
Recommended citation: Tyree, J. (2023) Prudent Response Surface Models: Exploring a Framework for Approximating Simulations with Confidence and Certainty. Master’s Thesis. Available from: URN:NBN:fi:hulib-202305151941.
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Published in Imperial College London, 2021
necsim-rust implements a novel communication-free algorithm for individual-based probabilistic neutral biodiversity simulations.
Recommended citation: Tyree, J. (2021) Communication-free and Parallel Simulation of Neutral Biodiversity Models. Master’s Thesis. Available from: doi:10.48550/arXiv.2108.05815.
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Published in Zenodo, 2024
This deliverable documents the development of an Online Laboratory for Data Compression in Climate Science and Meteorology and the publication of the data compression datasets that allow the testing of various compression methods for output of both weather and climate models.
Recommended citation: Faghih-Naini, S., Tyree, J., Yepes-Arbós, X., Peters-von Gehlen, K., Dueben, P., Järvinen, H. J. (2024) ESiWACE3 Deliverable D3.3 - Report on the online version of the data sets. Available from: doi:10.5281/zenodo.14622238.
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Published in arXiv, 2023
phepy is a benchmark for out-of-distribution detection, which includes three novel and easily-visualisable toy examples.
Recommended citation: Tyree, J., Rupp, A., Clusius, P. S., Boy, M. H. (2023) phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors. Preprint. Available from: doi:10.48550/arXiv.2503.05169.
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