The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Micronutrient levels of global tropical reef fish communities differ from fisheries capture
Conor Waldock, Eva Maire, Camille Albouy, Vania Andreoli, Maria Beger, Thomas Claverie, Katie L. Cramer, David A. Feary, Sebastian C. A. Ferse, Andrew Hoey, Nicolas Loiseau, M. Aaron MacNeil, Matthew McLean, Camille Mellin, Simon Ahouansou Montcho, Maria Lourdes Palomares, Santiago de la Puente, Mark Tupper, Shaun Wilson, Laure Velez, Jessica Zamborain‐Mason, Dirk Zeller, David Mouillot and Loïc Pellissier People and Nature 7(1) 32 (2025) https://doi.org/10.1002/pan3.10736
Modeling the spatial distribution and abundance of deep‐water red shrimps in the Mediterranean Sea: a machine learning approach
Elena Catucci, Diego Panzeri, Simone Libralato, Gianpiero Cossarini, Germana Garofalo, Irida Maina, Stefanos Kavadas, Federico Quattrocchi, Giulia Cipriano, Roberto Carlucci, Sergio Vitale, Chryssi Mytilineou, Fabio Fiorentino and Tommaso Russo Fisheries Research 281 107257 (2025) https://doi.org/10.1016/j.fishres.2024.107257
optRF: Optimising random forest stability by determining the optimal number of trees
Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration
Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi and Ali El Bilali International Journal of Sediment Research 40(1) 91 (2025) https://doi.org/10.1016/j.ijsrc.2024.10.002
Measuring Affective State: Subject-Dependent and -Independent Prediction Based on Longitudinal Multimodal Sensing
Lea Berkemeier, Wim Kamphuis, Anne-Marie Brouwer, Herman de Vries, Maarten Schadd, Jan Ubbo van Baardewijk, Hilbrand Oldenhuis, Rudolf Verdaasdonk and Lisette van Gemert-Pijnen IEEE Transactions on Affective Computing 16(2) 827 (2025) https://doi.org/10.1109/TAFFC.2024.3474098
Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India
Predicting the high-strain-rate deformation behavior and constructing processing maps of 304L stainless steel through machine learning and deep learning
M. Ghaffari Farid, H.R. Abedi, R. Ghasempour, A. Taylor, S. Khoddam and P.D. Hodgson Journal of Materials Research and Technology 36 7507 (2025) https://doi.org/10.1016/j.jmrt.2025.05.009
Hybrid physically based and machine learning model to enhance high streamflow prediction
Predicting the Effect of RSW Parameters on the Shear Force and Nugget Diameter of Similar and Dissimilar Joints Using Machine Learning Algorithms and Multilayer Perceptron
What, where, and when: Spatial-temporal distribution of macro-litter on the seafloor of the western and central Mediterranean sea
Alessandro Cau, Alice Sbrana, Simone Franceschini, Fabio Fiorentino, Maria Cristina Follesa, Francois Galgani, Germana Garofalo, Olivia Gerigny, Adriana Profeta, Paola Rinelli, Mario Sbrana and Tommaso Russo Environmental Pollution 342 123028 (2024) https://doi.org/10.1016/j.envpol.2023.123028
Field validation of NDVI to identify crop phenological signatures
Muhammad Tousif Bhatti, Hammad Gilani, Muhammad Ashraf, Muhammad Shahid Iqbal and Sarfraz Munir Precision Agriculture 25(5) 2245 (2024) https://doi.org/10.1007/s11119-024-10165-6
sEMG Signal Gesture Recognition Method Based on Dung Beetle Optimized Random Forest
Evaluating Salinity Tolerance of Pomegranate Cultivars Using Subordinate Function Analysis and Machine Learning
Shashi Pathania, Baljit Singh, Ajmer Singh Brar, Sukhpreet Singh and Amit Bajaj Communications in Soil Science and Plant Analysis 55(20) 3088 (2024) https://doi.org/10.1080/00103624.2024.2380498
Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods
Victoire Michal, Jon Wakefield, Alexandra M Schmidt, Alicia Cavanaugh, Brian E Robinson and Jill Baumgartner Journal of Survey Statistics and Methodology 12(5) 1489 (2024) https://doi.org/10.1093/jssam/smae032
Learning Adsorption Patterns on Amorphous Surfaces
Ore genesis of the Laguhe Au deposit, West Qinling, China: Evidence from sulfide geochemistry and machine learning
Feifan Xu, Fan Yang, Emmanuel John M. Carranza, Kangning Li, Shuai Zhang, Qingyan Tang and Dengbang Li Ore Geology Reviews 163 105767 (2023) https://doi.org/10.1016/j.oregeorev.2023.105767
Analysis of the Frictional Performance of AW-5251 Aluminium Alloy Sheets Using the Random Forest Machine Learning Algorithm and Multilayer Perceptron
Tomasz Trzepieciński, Sherwan Mohammed Najm, Omar Maghawry Ibrahim and Marek Kowalik Materials 16(15) 5207 (2023) https://doi.org/10.3390/ma16155207
AI-based identification of therapeutic agents targeting GPCRs: introducing ligand type classifiers and systems biology
Jonas Goßen, Rui Pedro Ribeiro, Dirk Bier, Bernd Neumaier, Paolo Carloni, Alejandro Giorgetti and Giulia Rossetti Chemical Science 14(32) 8651 (2023) https://doi.org/10.1039/D3SC02352D
Digital assessments of soil organic carbon storage using digital maps provided by static and dynamic environmental covariates
Fatemeh Rahbar Alam Shirazi, Farzin Shahbazi, Hossein Rezaei and Asim Biswas Soil Use and Management 39(2) 948 (2023) https://doi.org/10.1111/sum.12900
Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning
Nontembeko Dudeni-Tlhone, Onisimo Mutanga, Pravesh Debba and Moses Azong Cho Remote Sensing 15(17) 4117 (2023) https://doi.org/10.3390/rs15174117
Uncovering the effects of Urmia Lake desiccation on soil chemical ripening using advanced mapping techniques
Tile-Based Random Forest Analysis for Analyte Discovery in Balanced and Unbalanced GC × GC-TOFMS Data Sets
Meriem Gaida, Caitlin N. Cain, Robert E. Synovec, Jean-François Focant and Pierre-Hugues Stefanuto Analytical Chemistry 95(36) 13519 (2023) https://doi.org/10.1021/acs.analchem.3c01872
Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria
Chemical Descriptors for a Large-Scale Study on Drop-Weight Impact Sensitivity of High Explosives
Frank W. Marrs, Jack V. Davis, Alexandra C. Burch, et al. Journal of Chemical Information and Modeling 63(3) 753 (2023) https://doi.org/10.1021/acs.jcim.2c01154
Effects of stopping criterion on the growth of trees in regression random forests
Aryana Arsham, Philip Rosenberg and Mark Little The New England Journal of Statistics in Data Science 46 (2023) https://doi.org/10.51387/22-NEJSDS5
Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study
Predicting spatial distribution of stable isotopes in precipitation by classical geostatistical- and machine learning methods
Dániel Erdélyi, István Gábor Hatvani, Hyeongseon Jeon, Matthew Jones, Jonathan Tyler and Zoltán Kern Journal of Hydrology 617 129129 (2023) https://doi.org/10.1016/j.jhydrol.2023.129129
Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil
Husein Ali Zeini, Duaa Al-Jeznawi, Hamza Imran, Luís Filipe Almeida Bernardo, Zainab Al-Khafaji and Krzysztof Adam Ostrowski Sustainability 15(2) 1408 (2023) https://doi.org/10.3390/su15021408
Modeling the Combined Effect of Fulvic Acid, Effective Microorganisms and Micro-Carbon on Olive Yield
Waleed Mohammad Elhanafy F, Younes Mohammad Rashad and Omar Maghawry Ibrahim Asian Journal of Plant Sciences 22(2) 394 (2023) https://doi.org/10.3923/ajps.2023.394.405
Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison
Estimation of Eucalyptus productivity using efficient artificial neural network
Ricardo Rodrigues de Oliveira Neto, Helio Garcia Leite, José Marinaldo Gleriani and Bogdan M. Strimbu European Journal of Forest Research 141(1) 129 (2022) https://doi.org/10.1007/s10342-021-01431-7
Random forest-based modeling of stream nutrients at national level in a data-scarce region
IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques
Francisco Troncoso-Pastoriza, Miguel Martínez-Comesaña, Ana Ogando-Martínez, Javier López-Gómez, Pablo Eguía-Oller and Lara Febrero-Garrido Automation in Construction 139 104261 (2022) https://doi.org/10.1016/j.autcon.2022.104261
Nonlinear Effects of the Neighborhood Environments on Residents’ Mental Health
Lin Zhang, Suhong Zhou, Lanlan Qi and Yue Deng International Journal of Environmental Research and Public Health 19(24) 16602 (2022) https://doi.org/10.3390/ijerph192416602
Change Detection Techniques with Synthetic Aperture Radar Images: Experiments with Random Forests and Sentinel-1 Observations
Mapping soil erodibility in southeast China at 250 m resolution: Using environmental variables and random forest regression with limited samples
Zhiyuan Tian, Feng Liu, Yin Liang and Xuchao Zhu International Soil and Water Conservation Research 10(1) 62 (2022) https://doi.org/10.1016/j.iswcr.2021.06.005
Moisés R. Santos, Douglas D. C. Braz, André C. P. L. F. Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato Silva Filho, Danilo Y. Suiama, Lorena E. Ferreira and José E. Carmo Júnior 1 (2022) https://doi.org/10.1109/LA-CCI54402.2022.9981846
Pietro Mastro, Domenico Cimini, Filomena Romano, Elisabetta Ricciardelli, Francesco Di Paola, Guido Masiello, Carmine Serio, Adolfo Comerón, Evgueni I. Kassianov, Klaus Schäfer, Richard H. Picard, Konradin Weber and Upendra N. Singh 29 (2022) https://doi.org/10.1117/12.2642874
Tropical cyclone full track simulation in the western North Pacific based on random forests
Mingfeng Huang, Qing Wang, Renzhi Jing, Wenjuan Lou, Yi Hong and Lizhong Wang Journal of Wind Engineering and Industrial Aerodynamics 228 105119 (2022) https://doi.org/10.1016/j.jweia.2022.105119
A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image
Integration of Sentinel optical and radar data for mapping smallholder coffee production systems in Vietnam
Gina Maskell, Abel Chemura, Huong Nguyen, Christoph Gornott and Pinki Mondal Remote Sensing of Environment 266 112709 (2021) https://doi.org/10.1016/j.rse.2021.112709
Neural Computing for Advanced Applications
Hiu Fai Lee and Ming Jiang Communications in Computer and Information Science, Neural Computing for Advanced Applications 1449 211 (2021) https://doi.org/10.1007/978-981-16-5188-5_16
Mobile‐aided screening system for proliferative diabetic retinopathy
Rahma Boukadida, Yaroub Elloumi, Mohamed Akil and Mohamed Hedi Bedoui International Journal of Imaging Systems and Technology 31(3) 1638 (2021) https://doi.org/10.1002/ima.22547
Short-Term Forecasting of Household Water Demand in the UK Using an Interpretable Machine Learning Approach
Mapping and Quantification of the Dwarf Eelgrass Zostera noltei Using a Random Forest Algorithm on a SPOT 7 Satellite Image
Salma Benmokhtar, Marc Robin, Mohamed Maanan and Hocein Bazairi ISPRS International Journal of Geo-Information 10(5) 313 (2021) https://doi.org/10.3390/ijgi10050313
Muscle Synergy of Lower Limb Motion in Subjects with and without Knee Pathology
A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations
Chenxi Wang, Steven Platnick, Kerry Meyer, Zhibo Zhang and Yaping Zhou Atmospheric Measurement Techniques 13(5) 2257 (2020) https://doi.org/10.5194/amt-13-2257-2020
Sonoma County Complex Fires of 2017: Remote sensing data and modeling to support ecosystem and community resiliency
Kass Green, Mark Tukman, Dylan Loudon, et al. California Fish and Wildlife Journal 106(Fire Special Issue) (2020) https://doi.org/10.51492/cfwj.firesi.1