Работы, цитирующие эту работу

Работ: 5

Работа: Stochastic gradient boosting

1. Framework for agricultural performance assessment based on MODIS multitemporal data

   Dimo Dimov, Fabian Löw, Johannes Uhl +4

   СтатьяRemote Sensing in AgricultureJournal of Applied Remote Sensing2019Цитирований: 9

   ABIABI:AkademIndex/openalex/2026.other.201629

2. SAR and optical time series for crop classification

   Dimo Dimov, Fabian Löw, Mirzahayot Ibrakhimov +2

   СтатьяSpectroscopy and Chemometric Analyses2017Цитирований: 0

   ABIABI:AkademIndex/openalex/2017.article.000143

3. Solving the problem of classifying forest cover types based on soil characteristics

   Dilnoz Muhamediyeva, Lola Safarova, Sevara Nabiyeva

   СтатьяSoil and Environmental Studies2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.004699

4. A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

   Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

   СтатьяPhase Equilibria and ThermodynamicsChinese Journal of Analytical Chemistry2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.010719

5. Machine Learning-Enhanced Non-Invasive Glucose Monitoring via a Compact Microwave CSRR Resonator Sensor

   Dalia N. Elsheakh, Esraa Sallam, Ibrahim H. El-Shal +1

   ПрепринтSpectroscopy Techniques in Biomedical and Chemical ResearchResearch Square2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.preprint.000246