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Title: UiT Machine Learning Group · GitHub

Open Graph Title: UiT Machine Learning Group

X Title: UiT Machine Learning Group

Description: Research group at UiT The Arctic University of Norway - UiT Machine Learning Group

Open Graph Description: Research group at UiT The Arctic University of Norway - UiT Machine Learning Group

X Description: Research group at UiT The Arctic University of Norway - UiT Machine Learning Group

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X: @github

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UiT Machine Learning Grouphttps://machine-learning.uit.no
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CogniLoad: A synthetic natural language reasoning benchmark with tunable length, intrinsic difficulty, and distractor densityhttps://openreview.net/forum?id=0Sex2H5Jnn
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaginghttps://link.springer.com/article/10.1186/s13550-026-01398-9
Liver, vessel, and tumor segmentation from partially labeled CT and multi-label masked learninghttps://proceedings.mlr.press/v307/ostmo26a.html
Graph machine learning can estimate drug concentrations in whole blood from forensic screening resultshttps://doi.org/10.1021/acs.analchem.5c07428
Codehttps://github.com/uitml/GNN-for-drug-concentration
Reducing manual workload in SAR-based oil spill detection through uncertainty-aware deep learninghttps://openreview.net/forum?id=8wgwRsfTuH
Reconsidering explicit longitudinal mammography alignment for enhanced breast cancer risk predictionhttps://link.springer.com/chapter/10.1007/978-3-032-04937-7_47
Codehttps://github.com/sot176/Longitudinal_Mammogram_Alignment
WOODWORK: A deep-learning based framework for woodpecker damage detection in powerline inspectionhttps://doi.org/10.1016/j.ijepes.2025.110900
The Fossil Frontier: An answer to the 3-billion fossil questionhttps://www.sciencedirect.com/science/article/pii/S2666544125000802
AdaptCMVC: Robust adaptation to incremental views in continual multi-view clusteringhttps://openaccess.thecvf.com/content/CVPR2025/html/Wang_AdaptCMVC_Robust_Adaption_to_Incremental_Views_in_Continual_Multi-view_Clustering_CVPR_2025_paper.html
REPEAT: Improving uncertainty estimation in representation learning explainabilityhttps://ojs.aaai.org/index.php/AAAI/article/view/32900
Codehttps://github.com/Wickstrom/REPEAT
Flatland and beyond: Mutual information across geometrieshttps://openaccess.thecvf.com/content/ICCV2025W/BEW/html/Wally_Flatland_and_Beyond_Mutual_Information_Across_Geometries_ICCVW_2025_paper.html
Codehttps://github.com/uitml/FlatlandandBeyond
Quantifying uncertainty in foraminifera classification: How deep learning compares to human expertshttps://www.sciencedirect.com/science/article/pii/S2666544125000413
Aggregation of dependent expert distributions in multimodal variational autoencodershttps://proceedings.mlr.press/v267/a-mancisidor25a.html
Codehttps://github.com/rogelioamancisidor/codevae
Tied prototype model for few-shot medical image segmentationhttps://link.springer.com/chapter/10.1007/978-3-032-04947-6_62
Codehttps://github.com/hjk92g/TPM-FSS
The conditional Cauchy–Schwarz divergence with applications to time-series data and sequential decision makinghttps://ieeexplore.ieee.org/abstract/document/10930811/
Polar mesospheric summer echo (PMSE) multilayer properties during solar maximum and solar minimumhttps://angeo.copernicus.org/articles/42/431/2024/
Exploring pain reduction through physical activity: A case study of seven fibromyalgia patientshttps://www.mdpi.com/2306-5354/11/8/765
LSNetv2: Improving weakly supervised power line detection with bipartite matchinghttps://www.sciencedirect.com/science/article/pii/S0957417424006390
Interrogating sea ice predictability with gradientshttps://ieeexplore.ieee.org/abstract/document/10436675/
Deep semisupervised semantic segmentation in multifrequency echosounder datahttps://ieeexplore.ieee.org/abstract/document/10034940/
A contextually supported abnormality detector for maritime trajectorieshttps://www.mdpi.com/2077-1312/11/11/2085
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