[1]
|
A New Approach to Predict the Mechanical Properties of Hot‐Rolled Strip Based on Multi‐Dimensional Feature Weighted Similarity and Integrated Just‐In‐Time Learning
steel research international,
2025
DOI:10.1002/srin.202400872
|
|
|
[2]
|
Stock identification of sympatric Atlantic cod populations in the Gulf of Maine and mixed stock fishery analysis using otolith-based techniques
Canadian Journal of Fisheries and Aquatic Sciences,
2025
DOI:10.1139/cjfas-2023-0159
|
|
|
[3]
|
Prediction of thermal conductivity of frozen soils from basic soil properties using ensemble learning methods
Geoderma,
2024
DOI:10.1016/j.geoderma.2024.117053
|
|
|
[4]
|
Data-Driven Analysis of Ocean Fronts’ Impact on Acoustic Propagation: Process Understanding and Machine Learning Applications, Focusing on the Kuroshio Extension Front
Journal of Marine Science and Engineering,
2024
DOI:10.3390/jmse12112010
|
|
|
[5]
|
Out of (the) bag—encoding categorical predictors impacts out-of-bag samples
PeerJ Computer Science,
2024
DOI:10.7717/peerj-cs.2445
|
|
|
[6]
|
Machine learning–based feature prediction of convergence zones in ocean front environments
Frontiers in Marine Science,
2024
DOI:10.3389/fmars.2024.1337234
|
|
|
[7]
|
Emotion, Cultural Valuation of Being Human and AI Services
IEEE Transactions on Engineering Management,
2024
DOI:10.1109/TEM.2023.3246930
|
|
|
[8]
|
Drivers of rising monthly water temperature in river estuaries
Limnology and Oceanography,
2024
DOI:10.1002/lno.12507
|
|
|
[9]
|
Emotion, Cultural Valuation of Being Human and AI Services
IEEE Transactions on Engineering Management,
2024
DOI:10.1109/TEM.2023.3246930
|
|
|
[10]
|
Drivers of rising monthly water temperature in river estuaries
Limnology and Oceanography,
2024
DOI:10.1002/lno.12507
|
|
|
[11]
|
Walleye (Sander vitreus, Mitchill 1818) age and sex classification using innovative supervised and unsupervised machine learning and soft computing methodologies
Fisheries Research,
2024
DOI:10.1016/j.fishres.2024.107031
|
|
|
[12]
|
Enhanced Detection of Artisanal Small-Scale Mining with Spectral and Textural Segmentation of Landsat Time Series
Remote Sensing,
2024
DOI:10.3390/rs16101749
|
|
|
[13]
|
A physics-informed machine learning approach for predicting acoustic convergence zone features from limited mesoscale eddy data
Frontiers in Marine Science,
2024
DOI:10.3389/fmars.2024.1364884
|
|
|
[14]
|
A comparative study of empirical and machine learning approaches for soil thickness mapping in the Joshimath region (India)
CATENA,
2024
DOI:10.1016/j.catena.2024.108024
|
|
|
[15]
|
Assessing the Conventional Wisdom on Dollar Store Locations Through Machine Learning
SSRN Electronic Journal,
2024
DOI:10.2139/ssrn.4840403
|
|
|
[16]
|
DUX4 is a common driver of immune evasion and immunotherapy failure in metastatic cancers
eLife,
2024
DOI:10.7554/eLife.89017.3
|
|
|
[17]
|
Influence of Image Compositing and Multisource Data Fusion on Multitemporal Land Cover Mapping of Two Philippine Watersheds
Remote Sensing,
2024
DOI:10.3390/rs16122167
|
|
|
[18]
|
Lost in the Forest: Encoding categorical variables and the absent levels problem
Data Mining and Knowledge Discovery,
2024
DOI:10.1007/s10618-024-01019-w
|
|
|
[19]
|
Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery
Remote Sensing,
2023
DOI:10.3390/rs15020375
|
|
|
[20]
|
Mapping tree species diversity of temperate forests using multi-temporal Sentinel-1 and -2 imagery
Science of Remote Sensing,
2023
DOI:10.1016/j.srs.2023.100094
|
|
|
[21]
|
The first map of crop sequence types in Europe over 2012–2018
Earth System Science Data,
2023
DOI:10.5194/essd-15-5651-2023
|
|
|
[22]
|
Metabolomic Profiling of the Secretome from Human Neural Stem Cells Flown into Space
Bioengineering,
2023
DOI:10.3390/bioengineering11010011
|
|
|
[23]
|
Fusion-based machine learning approach for classification of algae varieties exposed to different light sources in the growth stage
Algal Research,
2023
DOI:10.1016/j.algal.2023.103087
|
|
|
[24]
|
MDA-JITL model for on-line mechanical property prediction
Journal of Iron and Steel Research International,
2023
DOI:10.1007/s42243-022-00892-3
|
|
|
[25]
|
Efficient gene–environment interaction testing through bootstrap aggregating
Scientific Reports,
2023
DOI:10.1038/s41598-023-28172-4
|
|
|
[26]
|
Detection of
Ecballium elaterium
in hedgerow olive orchards using a low‐cost uncrewed aerial vehicle and open‐source algorithms
Pest Management Science,
2023
DOI:10.1002/ps.7233
|
|
|
[27]
|
Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery
Remote Sensing,
2023
DOI:10.3390/rs15020375
|
|
|
[28]
|
Monitoring of Drought Stress in Chinese Forests Based on Satellite Solar-Induced Chlorophyll Fluorescence and Multi-Source Remote Sensing Indices
Remote Sensing,
2023
DOI:10.3390/rs15040879
|
|
|
[29]
|
Fusion-based machine learning approach for classification of algae varieties exposed to different light sources in the growth stage
Algal Research,
2023
DOI:10.1016/j.algal.2023.103087
|
|
|
[30]
|
MDA-JITL model for on-line mechanical property prediction
Journal of Iron and Steel Research International,
2023
DOI:10.1007/s42243-022-00892-3
|
|
|
[31]
|
Ecosystem and Species Habitat Modeling for Conservation and Restoration
2023
DOI:10.1007/978-981-99-0131-9_27
|
|
|
[32]
|
Detection of Ecballium elaterium in hedgerow olive orchards using a low‐cost uncrewed aerial vehicle and open‐source algorithms
Pest Management Science,
2023
DOI:10.1002/ps.7233
|
|
|
[33]
|
The first map of crop sequence types in Europe over 2012–2018
Earth System Science Data,
2023
DOI:10.5194/essd-15-5651-2023
|
|
|
[34]
|
Integrative population genetics and metagenomics reveals urbanization increases pathogen loads and decreases connectivity in a wild bee
Global Change Biology,
2023
DOI:10.1111/gcb.16757
|
|
|
[35]
|
Random survival forest model identifies novel biomarkers of event-free survival in high-risk pediatric acute lymphoblastic leukemia
Computational and Structural Biotechnology Journal,
2022
DOI:10.1016/j.csbj.2022.01.003
|
|
|
[36]
|
A panel of lipid markers for rice discrimination of Wuchang Daohuaxiang in China
Food Research International,
2022
DOI:10.1016/j.foodres.2022.111511
|
|
|
[37]
|
Phenology-based classification of Sentinel-2 data to detect coastal mangroves
Geocarto International,
2022
DOI:10.1080/10106049.2022.2087754
|
|
|
[38]
|
Phenology-based classification of Sentinel-2 data to detect coastal mangroves
Geocarto International,
2022
DOI:10.1080/10106049.2022.2087754
|
|
|
[39]
|
Interpretability application of the Just-in-Time software defect prediction model
Journal of Systems and Software,
2022
DOI:10.1016/j.jss.2022.111245
|
|
|
[40]
|
A panel of lipid markers for rice discrimination of Wuchang Daohuaxiang in China
Food Research International,
2022
DOI:10.1016/j.foodres.2022.111511
|
|
|
[41]
|
Improving Land Use/Cover Classification Accuracy from Random Forest Feature Importance Selection Based on Synergistic Use of Sentinel Data and Digital Elevation Model in Agriculturally Dominated Landscape
Agriculture,
2022
DOI:10.3390/agriculture13010098
|
|
|
[42]
|
Psychological emotions-based online learning grade prediction via BP neural network
Frontiers in Psychology,
2022
DOI:10.3389/fpsyg.2022.981561
|
|
|
[43]
|
A panel of lipid markers for rice discrimination of Wuchang Daohuaxiang in China
Food Research International,
2022
DOI:10.1016/j.foodres.2022.111511
|
|
|
[44]
|
Optimization of Dry Weight Assessment in Hemodialysis Patients via Reinforcement Learning
IEEE Journal of Biomedical and Health Informatics,
2022
DOI:10.1109/JBHI.2022.3192021
|
|
|
[45]
|
Detection of
Ecballium elaterium
in hedgerow olive orchards using a low‐cost uncrewed aerial vehicle and open‐source algorithms
Pest Management Science,
2022
DOI:10.1002/ps.7233
|
|
|
[46]
|
Application of Machine Learning Techniques for Predicting Potential Vehicle-to-Pedestrian Collisions in Virtual Reality Scenarios
Applied Sciences,
2022
DOI:10.3390/app122211364
|
|
|
[47]
|
A panel of lipid markers for rice discrimination of Wuchang Daohuaxiang in China
Food Research International,
2022
DOI:10.1016/j.foodres.2022.111511
|
|
|
[48]
|
Optimization of Dry Weight Assessment in Hemodialysis Patients via Reinforcement Learning
IEEE Journal of Biomedical and Health Informatics,
2022
DOI:10.1109/JBHI.2022.3192021
|
|
|
[49]
|
Random survival forest model identifies novel biomarkers of event-free survival in high-risk pediatric acute lymphoblastic leukemia
Computational and Structural Biotechnology Journal,
2022
DOI:10.1016/j.csbj.2022.01.003
|
|
|
[50]
|
Improving Land Use/Cover Classification Accuracy from Random Forest Feature Importance Selection Based on Synergistic Use of Sentinel Data and Digital Elevation Model in Agriculturally Dominated Landscape
Agriculture,
2022
DOI:10.3390/agriculture13010098
|
|
|
[51]
|
Application of Machine Learning Techniques for Predicting Potential Vehicle-to-Pedestrian Collisions in Virtual Reality Scenarios
Applied Sciences,
2022
DOI:10.3390/app122211364
|
|
|
[52]
|
Productivity-Based Land Suitability and Management Sensitivity Analysis: The Eucalyptus E. urophylla × E. grandis Case
Forests,
2022
DOI:10.3390/f13020340
|
|
|
[53]
|
Mapping soil erodibility in southeast China at 250 m resolution: Using environmental variables and random forest regression with limited samples
International Soil and Water Conservation Research,
2022
DOI:10.1016/j.iswcr.2021.06.005
|
|
|
[54]
|
Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity
The Journal of Sex Research,
2022
DOI:10.1080/00224499.2021.1967846
|
|
|
[55]
|
Productivity-Based Land Suitability and Management Sensitivity Analysis: The Eucalyptus E. urophylla × E. grandis Case
Forests,
2022
DOI:10.3390/f13020340
|
|
|
[56]
|
Advances in Information and Communication
Lecture Notes in Networks and Systems,
2022
DOI:10.1007/978-3-030-98015-3_44
|
|
|
[57]
|
Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis
Journal of Information and Communication Technology,
2022
DOI:10.32890/jict2022.21.2.3
|
|
|
[58]
|
Random survival forest model identifies novel biomarkers of event-free survival in high-risk pediatric acute lymphoblastic leukemia
Computational and Structural Biotechnology Journal,
2022
DOI:10.1016/j.csbj.2022.01.003
|
|
|
[59]
|
Phenology-based classification of Sentinel-2 data to detect coastal mangroves
Geocarto International,
2022
DOI:10.1080/10106049.2022.2087754
|
|
|
[60]
|
The control of moldy risk during rice storage based on multivariate linear regression analysis and random forest algorithm
JUSTC,
2022
DOI:10.52396/JUSTC-2021-0118
|
|
|
[61]
|
Interpretability application of the Just-in-Time software defect prediction model
Journal of Systems and Software,
2022
DOI:10.1016/j.jss.2022.111245
|
|
|
[62]
|
Unraveling the Importance of the Yangtze River and Local Catchment on Water Level Variations of Poyang Lake (China) After the Three Gorges Dam Operation: Insights From Random Forest Modeling
Frontiers in Earth Science,
2022
DOI:10.3389/feart.2022.927462
|
|
|
[63]
|
APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies
Geoscience Frontiers,
2021
DOI:10.1016/j.gsf.2021.101232
|
|
|
[64]
|
Artificial Intelligence-Empowered Chatbot for Effective COVID-19 Information Delivery to Older Adults
International Journal of E-Health and Medical Communications,
2021
DOI:10.4018/IJEHMC.293285
|
|
|
[65]
|
Anomaly Detection in Software-Defined Networks Using Cross-Validation
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET),
2021
DOI:10.1109/ICECET52533.2021.9698645
|
|
|
[66]
|
Meta-learning Based Prediction of Different Corn Cultivars from Colour Feature Extraction with Image Processing Technique
Tarım Bilimleri Dergisi,
2021
DOI:10.15832/ankutbd.567407
|
|
|
[67]
|
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
npj Digital Medicine,
2021
DOI:10.1038/s41746-021-00388-6
|
|
|
[68]
|
OtoPair: Combining Right and Left Eardrum Otoscopy Images to Improve the Accuracy of Automated Image Analysis
Applied Sciences,
2021
DOI:10.3390/app11041831
|
|
|
[69]
|
Assessment of urban cooling effect based on downscaled land surface temperature: A case study for Fukuoka, Japan
Urban Climate,
2021
DOI:10.1016/j.uclim.2021.100790
|
|
|
[70]
|
Outlier Prediction Using Random Forest Classifier
2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC),
2021
DOI:10.1109/CCWC51732.2021.9376077
|
|
|
[71]
|
Estimating traffic flow states with smart phone sensor data
Transportation Research Part C: Emerging Technologies,
2021
DOI:10.1016/j.trc.2021.103062
|
|
|
[72]
|
CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma
European Journal of Radiology,
2021
DOI:10.1016/j.ejrad.2021.109710
|
|
|
[73]
|
Uncovering the Most Important Factors for Predicting Sexual Desire Using Explainable Machine Learning
The Journal of Sexual Medicine,
2021
DOI:10.1016/j.jsxm.2021.04.010
|
|
|
[74]
|
Texture analysis using machine learning–based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy
European Radiology,
2021
DOI:10.1007/s00330-021-07816-x
|
|
|
[75]
|
Effects of air pollution in Spatio-temporal modeling of asthma-prone areas using a machine learning model
Environmental Research,
2021
DOI:10.1016/j.envres.2021.111344
|
|
|
[76]
|
Response of Mangrove Carbon Fluxes to Drought Stress Detected by Photochemical Reflectance Index
Remote Sensing,
2021
DOI:10.3390/rs13204053
|
|
|
[77]
|
Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
Agronomy,
2021
DOI:10.3390/agronomy11112244
|
|
|
[78]
|
Application of random forest classification and remotely sensed data in geological mapping on the Jebel Meloussi area (Tunisia)
Arabian Journal of Geosciences,
2021
DOI:10.1007/s12517-021-08509-x
|
|
|
[79]
|
Metabolomic profiling reveals a differential role for hippocampal glutathione reductase in infantile memory formation
eLife,
2021
DOI:10.7554/eLife.68590
|
|
|
[80]
|
Machine Learning Modeling Techniques for Forecasting the Trophic Level in a Restored South Mediterranean Lagoon Using Chlorophyll-a
Wetlands,
2021
DOI:10.1007/s13157-021-01479-6
|
|
|
[81]
|
Differentiation Model for Insomnia Disorder and the Respiratory Arousal Threshold Phenotype in Obstructive Sleep Apnea in the Taiwanese Population Based on Oximetry and Anthropometric Features
Diagnostics,
2021
DOI:10.3390/diagnostics12010050
|
|
|
[82]
|
Differentiation Model for Insomnia Disorder and the Respiratory Arousal Threshold Phenotype in Obstructive Sleep Apnea in the Taiwanese Population Based on Oximetry and Anthropometric Features
Diagnostics,
2021
DOI:10.3390/diagnostics12010050
|
|
|
[83]
|
Response of Mangrove Carbon Fluxes to Drought Stress Detected by Photochemical Reflectance Index
Remote Sensing,
2021
DOI:10.3390/rs13204053
|
|
|
[84]
|
Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
Agronomy,
2021
DOI:10.3390/agronomy11112244
|
|
|
[85]
|
Artificial Intelligence-Empowered Chatbot for Effective COVID-19 Information Delivery to Older Adults
International Journal of E-Health and Medical Communications,
2021
DOI:10.4018/IJEHMC.293285
|
|
|
[86]
|
Metabolome profiling of the developing murine lens
Experimental Eye Research,
2021
DOI:10.1016/j.exer.2020.108343
|
|
|
[87]
|
Effects of air pollution in Spatio-temporal modeling of asthma-prone areas using a machine learning model
Environmental Research,
2021
DOI:10.1016/j.envres.2021.111344
|
|
|
[88]
|
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
npj Digital Medicine,
2021
DOI:10.1038/s41746-021-00388-6
|
|
|
[89]
|
Metabolome profiling of the developing murine lens
Experimental Eye Research,
2021
DOI:10.1016/j.exer.2020.108343
|
|
|
[90]
|
CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma
European Journal of Radiology,
2021
DOI:10.1016/j.ejrad.2021.109710
|
|
|
[91]
|
Variable Importance Measure System Based on Advanced Random Forest
Computer Modeling in Engineering & Sciences,
2021
DOI:10.32604/cmes.2021.015378
|
|
|
[92]
|
Effects of air pollution in Spatio-temporal modeling of asthma-prone areas using a machine learning model
Environmental Research,
2021
DOI:10.1016/j.envres.2021.111344
|
|
|
[93]
|
Estimating traffic flow states with smart phone sensor data
Transportation Research Part C: Emerging Technologies,
2021
DOI:10.1016/j.trc.2021.103062
|
|
|
[94]
|
Assessment of urban cooling effect based on downscaled land surface temperature: A case study for Fukuoka, Japan
Urban Climate,
2021
DOI:10.1016/j.uclim.2021.100790
|
|
|
[95]
|
Effects of air pollution in Spatio-temporal modeling of asthma-prone areas using a machine learning model
Environmental Research,
2021
DOI:10.1016/j.envres.2021.111344
|
|
|
[96]
|
RAINFOREST: a random forest approach to predict treatment benefit in data from (failed) clinical drug trials
Bioinformatics,
2020
DOI:10.1093/bioinformatics/btaa799
|
|
|
[97]
|
Metabolomic and Lipidomic Profiling of Bone Marrow Plasma Differentiates Patients with Monoclonal Gammopathy of Undetermined Significance from Multiple Myeloma
Scientific Reports,
2020
DOI:10.1038/s41598-020-67105-3
|
|
|
[98]
|
Scattering Feature Set Optimization and Polarimetric SAR Classification Using Object-Oriented RF-SFS Algorithm in Coastal Wetlands
Remote Sensing,
2020
DOI:10.3390/rs12030407
|
|
|
[99]
|
Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting
Ecological Indicators,
2020
DOI:10.1016/j.ecolind.2019.106029
|
|
|
[100]
|
Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer
Radiology,
2020
DOI:10.1148/radiol.2019182718
|
|
|
[101]
|
Comparison of three similarity scores for bullet LEA matching
Forensic Science International,
2020
DOI:10.1016/j.forsciint.2020.110167
|
|
|
[102]
|
Predicting in vitro human mesenchymal stromal cell expansion based on individual donor characteristics using machine learning
Cytotherapy,
2020
DOI:10.1016/j.jcyt.2019.12.006
|
|
|
[103]
|
Scattering Feature Set Optimization and Polarimetric SAR Classification Using Object-Oriented RF-SFS Algorithm in Coastal Wetlands
Remote Sensing,
2020
DOI:10.3390/rs12030407
|
|
|
[104]
|
Metabolomic and Lipidomic Profiling of Bone Marrow Plasma Differentiates Patients with Monoclonal Gammopathy of Undetermined Significance from Multiple Myeloma
Scientific Reports,
2020
DOI:10.1038/s41598-020-67105-3
|
|
|
[105]
|
Ensemble learning with member optimization for fault diagnosis of a building energy system
Energy and Buildings,
2020
DOI:10.1016/j.enbuild.2020.110351
|
|
|
[106]
|
RF-PCA: A New Solution for Rapid Identification of Breast Cancer Categorical Data Based on Attribute Selection and Feature Extraction
Frontiers in Genetics,
2020
DOI:10.3389/fgene.2020.566057
|
|
|
[107]
|
Metabolome profiling of the developing murine lens
Experimental Eye Research,
2020
DOI:10.1016/j.exer.2020.108343
|
|
|
[108]
|
RAINFOREST: a random forest approach to predict treatment benefit in data from (failed) clinical drug trials
Bioinformatics,
2020
DOI:10.1093/bioinformatics/btaa799
|
|
|
[109]
|
Characterizing Boreal Peatland Plant Composition and Species Diversity with Hyperspectral Remote Sensing
Remote Sensing,
2019
DOI:10.3390/rs11141685
|
|
|
[110]
|
Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient’s Return to the Clinic
Journal of Clinical Medicine,
2019
DOI:10.3390/jcm8081156
|
|
|
[111]
|
Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine learning
Analytica Chimica Acta,
2019
DOI:10.1016/j.aca.2019.09.065
|
|
|
[112]
|
Incorporating the Plant Phenological Trajectory into Mangrove Species Mapping with Dense Time Series Sentinel-2 Imagery and the Google Earth Engine Platform
Remote Sensing,
2019
DOI:10.3390/rs11212479
|
|
|
[113]
|
Internal leakage identification of hydraulic cylinder based on intrinsic mode functions with random forest
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,
2019
DOI:10.1177/0954406219846148
|
|
|
[114]
|
Effect of host genotype and Eimeria acervulina infection on the metabolome of meat-type chickens
PLOS ONE,
2019
DOI:10.1371/journal.pone.0223417
|
|
|
[115]
|
Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests
Frontiers in Psychology,
2019
DOI:10.3389/fpsyg.2019.02461
|
|
|
[116]
|
Characterizing Boreal Peatland Plant Composition and Species Diversity with Hyperspectral Remote Sensing
Remote Sensing,
2019
DOI:10.3390/rs11141685
|
|
|
[117]
|
Incorporating the Plant Phenological Trajectory into Mangrove Species Mapping with Dense Time Series Sentinel-2 Imagery and the Google Earth Engine Platform
Remote Sensing,
2019
DOI:10.3390/rs11212479
|
|
|
[118]
|
Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient’s Return to the Clinic
Journal of Clinical Medicine,
2019
DOI:10.3390/jcm8081156
|
|
|
[119]
|
Internal leakage identification of hydraulic cylinder based on intrinsic mode functions with random forest
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,
2019
DOI:10.1177/0954406219846148
|
|
|
[120]
|
Quantitative mapping and predictive modeling of Mn nodules' distribution from hydroacoustic and optical AUV data linked by random forests machine learning
Biogeosciences,
2018
DOI:10.5194/bg-15-7347-2018
|
|
|
[121]
|
MiRTaW: An Algorithm for Atmospheric Temperature and Water Vapor Profile Estimation from ATMS Measurements Using a Random Forests Technique
Remote Sensing,
2018
DOI:10.3390/rs10091398
|
|
|
[122]
|
A procession of metabolic alterations accompanying muscle senescence in Manduca sexta
Scientific Reports,
2018
DOI:10.1038/s41598-018-19630-5
|
|
|
[123]
|
A procession of metabolic alterations accompanying muscle senescence in Manduca sexta
Scientific Reports,
2018
DOI:10.1038/s41598-018-19630-5
|
|
|
[124]
|
Computational Collective Intelligence
Lecture Notes in Computer Science,
2018
DOI:10.1007/978-3-319-98446-9_36
|
|
|
[125]
|
A procession of metabolic alterations accompanying muscle senescence in Manduca sexta
Scientific Reports,
2018
DOI:10.1038/s41598-018-19630-5
|
|
|
[126]
|
MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy
Radiology,
2018
DOI:10.1148/radiol.2018172300
|
|
|
[127]
|
On the overestimation of random forest’s out-of-bag error
PLOS ONE,
2018
DOI:10.1371/journal.pone.0201904
|
|
|
[128]
|
MiRTaW: An Algorithm for Atmospheric Temperature and Water Vapor Profile Estimation from ATMS Measurements Using a Random Forests Technique
Remote Sensing,
2018
DOI:10.3390/rs10091398
|
|
|
[129]
|
Quantitative mapping and predictive modeling of Mn nodules' distribution from hydroacoustic and optical AUV data linked by random forests machine learning
Biogeosciences,
2018
DOI:10.5194/bg-15-7347-2018
|
|
|
[130]
|
Canopy Cover Estimation from Landsat Images: Understory Impact onTop-of-canopy Reflectance in a Northern Hardwood Forest
Canadian Journal of Remote Sensing,
2018
DOI:10.1080/07038992.2018.1533399
|
|
|
[131]
|
Predicting Sense of Community and Participation by Applying Machine Learning to Open Government Data
Policy & Internet,
2017
DOI:10.1002/poi3.145
|
|
|
[132]
|
Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data
Forestry,
2017
DOI:10.1093/forestry/cpw066
|
|
|
[133]
|
Predicting Sense of Community and Participation by Applying Machine Learning to Open Government Data
Policy & Internet,
2017
DOI:10.1002/poi3.145
|
|
|
[134]
|
Simulated microgravity enhances oligodendrocyte mitochondrial function and lipid metabolism
Journal of Neuroscience Research,
2016
DOI:10.1002/jnr.23958
|
|
|
[135]
|
Sub-Pixel Classification of MODIS EVI for Annual Mappings of Impervious Surface Areas
Remote Sensing,
2016
DOI:10.3390/rs8020143
|
|
|
[136]
|
Studying the needed effort for identifying duplicate issues
Empirical Software Engineering,
2016
DOI:10.1007/s10664-015-9404-6
|
|
|
[137]
|
Sub-Pixel Classification of MODIS EVI for Annual Mappings of Impervious Surface Areas
Remote Sensing,
2016
DOI:10.3390/rs8020143
|
|
|
[138]
|
Simulated microgravity enhances oligodendrocyte mitochondrial function and lipid metabolism
Journal of Neuroscience Research,
2016
DOI:10.1002/jnr.23958
|
|
|
[139]
|
Biogeographic structure of the northeastern Pacific rocky intertidal: the role of upwelling and dispersal to drive patterns
Ecography,
2015
DOI:10.1111/ecog.00880
|
|
|
[140]
|
A targeted metabolomics approach toward understanding metabolic variations in rice under pesticide stress
Analytical Biochemistry,
2015
DOI:10.1016/j.ab.2015.02.021
|
|
|
[141]
|
SIFT-MS analysis of Iberian hams from pigs reared under different conditions
Meat Science,
2015
DOI:10.1016/j.meatsci.2015.01.012
|
|
|
[142]
|
Testing the reliability and stability of the internal accuracy assessment of random forest for classifying tree defoliation levels using different validation methods
Geocarto International,
2015
DOI:10.1080/10106049.2014.997303
|
|
|
[143]
|
Production of Basic Chemicals on the Basis of Renewable Resources as an Alternative to Petrochemistry?
ChemBioEng Reviews,
2015
DOI:10.1002/cben.201500005
|
|
|
[144]
|
Biogeographic structure of the northeastern Pacific rocky intertidal: the role of upwelling and dispersal to drive patterns
Ecography,
2015
DOI:10.1111/ecog.00880
|
|
|
[145]
|
A targeted metabolomics approach toward understanding metabolic variations in rice under pesticide stress
Analytical Biochemistry,
2015
DOI:10.1016/j.ab.2015.02.021
|
|
|
[146]
|
Mining data with random forests: current options for real‐world applications
WIREs Data Mining and Knowledge Discovery,
2014
DOI:10.1002/widm.1114
|
|
|
[147]
|
Herstellung von Grundchemikalien auf Basis nachwachsender Rohstoffe als Alternative zur Petrochemie?
Chemie Ingenieur Technik,
2014
DOI:10.1002/cite.201400108
|
|
|
[148]
|
Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections
Journal of Chemical Information and Modeling,
2014
DOI:10.1021/ci400648s
|
|
|
[149]
|
Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery
Progress in Physical Geography: Earth and Environment,
2014
DOI:10.1177/0309133314550670
|
|
|
[150]
|
Mining data with random forests: current options for real-world applications
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,
2014
DOI:10.1002/widm.1114
|
|
|
[151]
|
Spatial characterization of bark beetle infestations by a multidate synergy of SPOT and Landsat imagery
Environmental Monitoring and Assessment,
2014
DOI:10.1007/s10661-013-3389-7
|
|
|
[152]
|
Assessment of resistance spot welding quality based on ultrasonic testing and tree-based techniques
Journal of Materials Processing Technology,
2014
DOI:10.1016/j.jmatprotec.2014.05.021
|
|
|
[153]
|
The Differential Diagnosis of Crohn’s Disease and Celiac Disease Using Nuclear Magnetic Resonance Spectroscopy
Applied Magnetic Resonance,
2014
DOI:10.1007/s00723-014-0530-x
|
|
|
[154]
|
Mitochondrial Morphological Features Are Associated with Fission and Fusion Events
PLoS ONE,
2014
DOI:10.1371/journal.pone.0095265
|
|
|
[155]
|
Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery
Progress in Physical Geography,
2014
DOI:10.1177/0309133314550670
|
|
|
[156]
|
Fusion of voice signal information for detection of mild laryngeal pathology
Applied Soft Computing,
2014
DOI:10.1016/j.asoc.2014.01.012
|
|
|
[157]
|
Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections
Journal of Chemical Information and Modeling,
2014
DOI:10.1021/ci400648s
|
|
|
[158]
|
Measuring the Effectiveness of Conservation: A Novel Framework to Quantify the Benefits of Sage-Grouse Conservation Policy and Easements in Wyoming
PLoS ONE,
2013
DOI:10.1371/journal.pone.0067261
|
|
|
[159]
|
Relationship Between Serum Level of Selenium and Metabolites Using 1HNMR-Based Metabonomics in Parkinson’s Disease
Applied Magnetic Resonance,
2013
DOI:10.1007/s00723-013-0439-9
|
|
|
[160]
|
Identifying the origin of groundwater samples in a multi-layer aquifer system with Random Forest classification
Journal of Hydrology,
2013
DOI:10.1016/j.jhydrol.2013.07.009
|
|
|
[161]
|
Utilizing random forest analysis with otolith mass and total fish length to obtain rapid and objective estimates of fish age
Canadian Journal of Fisheries and Aquatic Sciences,
2013
DOI:10.1139/cjfas-2013-0169
|
|
|
[162]
|
A metabonomics investigation of multiple sclerosis by nuclear magnetic resonance
Magnetic Resonance in Chemistry,
2013
DOI:10.1002/mrc.3915
|
|
|
[163]
|
A metabonomics investigation of multiple sclerosis by nuclear magnetic resonance
Magnetic Resonance in Chemistry,
2012
DOI:10.1002/mrc.3915
|
|
|
[164]
|
Clinical Value of Prognosis Gene Expression Signatures in Colorectal Cancer: A Systematic Review
PLoS ONE,
2012
DOI:10.1371/journal.pone.0048877
|
|
|