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Global or local modeling for XGBoost in geospatial studies upon simulated data and German COVID-19 infection forecasting.

• Authors : Cheng X; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587, Berlin, Germany. .; Ma J

Subjects: Boosting Machine Learning Algorithms* ; COVID-19*/COVID-19*/COVID-19*/epidemiology ; Forecasting*/Forecasting*/Forecasting*/methods

• Source: Scientific reports [Sci Rep] 2025 Mar 14; Vol. 15 (1), pp. 8858. Date of Electronic Publication: 2025 Mar 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Machine-learning algorithms predict soil seed bank persistence from easily available traits.

• Authors : Rosbakh, Sergey¹ ; Pichler, Maximilian²; Poschlod, Peter¹

• Source: Applied Vegetation Science. Apr-Jun2022, Vol. 25 Issue 2, p1-13. 13p.

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Machine learning methods' performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest.

• Authors : Ali, Abebe Mohammed^1,2 (AUTHOR) ; Darvishzadeh, Roshanak¹ (AUTHOR); Skidmore, Andrew^1,3 (AUTHOR)

• Source: International Journal of Digital Earth. Jan2021, Vol. 14 Issue 1, p106-120. 15p.

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Prediction of Seropositivity in Suspected Autoimmune Encephalitis by Use of Radiomics: A Radiological Proof-of-Concept Study.

• Authors : Stake, Jacob¹ (AUTHOR) ; Spiekers, Christine¹ (AUTHOR); Akkurt, Burak Han¹ (AUTHOR)

• Source: Diagnostics (2075-4418). Jun2024, Vol. 14 Issue 11, p1070. 12p.

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Prediction of Perceived Exertion Ratings in National Level Soccer Players Using Wearable Sensor Data and Machine Learning Techniques.

• Authors : Leppich, Robert¹ ; Kunz, Philipp² ; Bauer, André³

• Source: Journal of Sports Science & Medicine. Dec2024, Vol. 23 Issue 4, p744-753. 10p.

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A Rank-Order Test on the Statistical Performance of Neural Network Models for Regional Labor Market Forecasts.

• Authors : Patuelli, Roberto¹ ; Longhi, Simonetta² ; Reggiani, Aura³

• Source: Review of Regional Studies. Summer2007, Vol. 37 Issue 1, p64-81. 18p. 4 Charts, 3 Maps.

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pyESDv1.0.1: an open-source Python framework for empirical-statistical downscaling of climate information.

• Authors : Boateng, Daniel¹ (AUTHOR) ; Mutz, Sebastian G.^1,2 (AUTHOR)

• Source: Geoscientific Model Development. 2023, Vol. 16 Issue 22, p6479-6514. 36p.

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spateGAN: Spatio‐Temporal Downscaling of Rainfall Fields Using a cGAN Approach.

• Authors : Glawion, Luca¹ (AUTHOR) ; Polz, Julius¹ (AUTHOR); Kunstmann, Harald^1,2 (AUTHOR)

• Source: Earth & Space Science. Oct2023, Vol. 10 Issue 10, p1-24. 24p.

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Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.

• Authors : Amann, Julia¹ (AUTHOR) ; Vayena, Effy¹ (AUTHOR); Ormond, Kelly E.¹ (AUTHOR)

Subjects: *Clinical decision support systems; *Machine learning; *Artificial intelligenceSwitzerland; Germany

• Source: PLoS ONE. 1/11/2023, Vol. 18 Issue 1, p1-19. 19p.

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Machine Learning for Occupation Coding—A Comparison Study.

• Authors : Schierholz, Malte¹ (AUTHOR) ; Schonlau, Matthias² (AUTHOR)

• Source: Journal of Survey Statistics & Methodology. Nov2021, Vol. 9 Issue 5, p1013-1034. 22p.

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