Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model by Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang, Caiyan Qin

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Enhancing uncertainty quantification in drug discovery with censored regression labels by Emma Svensson, Hannah Rosa Friesacher, Susanne Winiwarter, Lewis Mervin, Adam Arany, Ola Engkvist

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Outlook towards deployable continual learning for particle accelerators by Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram

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UTransBPNet for cuffless and calibration-free blood pressure estimation under dynamic conditions by Yali Zheng, Hongda Huang, Jiasheng Gao, Jingyuan Hong, Shenghao Wu, Yuanting Zhang, Qing Liu

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Adversarial Validation in Image Classification Datasets by Means of Cumulative Spectral Gradient by Diego Renza, Ernesto Moya-Albor, Adrian Chavarro

Subjects: “…distribution shift…”
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Neural Network Approaches for Distributional Shifts in Environmental Sensors by Tobias Sukianto, Sebastian A. Schober, Cecilia Carbonelli, Simon Mittermaier, Robert Wille

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Space-scale exploration of the poor reliability of deep learning models: the case of the remote sensing of rooftop photovoltaic systems by Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan, Philippe Blanc

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Few-Shot Segmentation of 3D Point Clouds Under Real-World Distributional Shifts in Railroad Infrastructure by Abdur R. Fayjie, Mathijs Lens, Patrick Vandewalle

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APROKSIMASI DISTRIBUSI WAKTU HIDUP YANG AKAN DATANG by Thomas Pentury, Rudy W. Matakupan, Lexy J. Sinay

Subjects: “…approximations, future lifetime distribution, shifted jacobi polynomials, exponentials combination, makeham’s law…”
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A review of climate change impacts on migration patterns of marine vertebrates in Arctic and Subarctic ecosystems by Katherine J. Kuletz, Steven H. Ferguson, Morten Frederiksen, Colin P. Gallagher, Donna D. W. Hauser, Haakon Hop, Kit M. Kovacs, Christian Lydersen, Anders Mosbech, Andrew C. Seitz

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Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions by Geofrey Kapalaga, Florence N. Kivunike, Susan Kerfua, Daudi Jjingo, Daudi Jjingo, Savino Biryomumaisho, Justus Rutaisire, Paul Ssajjakambwe, Swidiq Mugerwa, Seguya Abbey, Mulindwa H. Aaron, Yusuf Kiwala

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The Problem of Grade Inflation: Measurement and Analysis by Andrei R. Markov, Natalia L. Shagas, Elena V. Merekina, Alexandra A. Moskaleva

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IoT-edge anomaly detection for covariate shifted and point time series health data by Partha Pratim Ray, Dinesh Dash

Subjects: “…Covariate abrupt distributional shift…”
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Extreme Grid Operation Scenario Generation Framework Considering Discrete Failures and Continuous Output Variations by Dong Liu, Guodong Guo, Zhidong Wang, Fan Li, Kaiyuan Jia, Chenzhenghan Zhu, Haotian Wang, Yingyun Sun

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Coupling spatio-temporal distribution to provide more informative population status and management recommendations by Qingpeng Han, Xiujuan Shan, Harry Gorfine, Yue Jin, Qiang Wu, Guangliang Teng

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Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer by Xinyue Zhang, Rong Gui, Jun Hu, Jinghui Zhang, Lihuan Tan, Xixi Zhang

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