[1]
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Interpretability application of the Just-in-Time software defect prediction model
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Journal of Systems and Software,
2022 |
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[2]
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Mapping soil erodibility in southeast China at 250 m resolution: Using environmental variables and random forest regression with limited samples
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International Soil and Water Conservation …,
2022 |
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[3]
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Productivity-Based Land Suitability and Management Sensitivity Analysis: The Eucalyptus E. urophylla × E. grandis Case
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Forests,
2022 |
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[4]
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A panel of lipid markers for rice discrimination of Wuchang Daohuaxiang in China
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Food Research …,
2022 |
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[5]
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The second dimension of spatial association
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International Journal of Applied Earth Observation and …,
2022 |
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[6]
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Detection of Ecballium elaterium in hedgerow olive orchards using a low‐cost uncrewed aerial vehicle and open‐source algorithms
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Pest Management …,
2022 |
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[7]
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Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity
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The Journal of Sex Research,
2022 |
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[8]
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Optimization of Dry Weight Assessment in Hemodialysis Patients via Reinforcement Learning
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IEEE Journal of …,
2022 |
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[9]
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Random survival forest model identifies novel biomarkers of event-free survival in high-risk pediatric acute lymphoblastic leukemia
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Computational and structural …,
2022 |
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[10]
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Phenology-based classification of Sentinel-2 data to detect coastal mangroves
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Geocarto …,
2022 |
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[11]
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Application of Machine Learning Techniques for Predicting Potential Vehicle-to-Pedestrian Collisions in Virtual Reality Scenarios
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Applied Sciences,
2022 |
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[12]
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Lost in the Forest
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bioRxiv,
2022 |
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[13]
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The control of moldy risk during rice storage based on multivariate linear regression analysis and random forest algorithm
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JUSTC,
2022 |
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[14]
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Anomaly Detection in Software Defined Networks Using Ensemble Learning
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Future of Information and …,
2022 |
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[15]
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ASSESSMENT OF MACHINE LEARNING METHODS FOR MASS REAL ESTATE APPRAISAL
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2022 |
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[16]
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Using remote sensing and geographical information systems to classify local landforms using a pattern recognition approach for improved soil mapping
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2022 |
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[17]
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Análise da técnica deep forest para o problema de aprendizado de ranqueamento
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2022 |
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[18]
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Diagnóstico del nivel de severidad de fallo de diente roto en engranajes rectos usando algoritmos de aprendizaje automático y gráficas de Poincaré aplicados a la …
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2022 |
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[19]
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Étude de l'hétérogénéité génétique de la leucémie myéloïde aigue par analyse scRNA-seq.
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2022 |
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[20]
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基于多元线性回归分析和随机森林算法的水稻贮藏霉变风险控制
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JUSTC,
2022 |
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[21]
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Psychological emotions-based online learning grade prediction via BP neural network
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Frontiers in Psychology,
2022 |
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[22]
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Unraveling the Importance of the Yangtze River and Local Catchment on Water Level Variations of Poyang Lake (China) After the Three Gorges Dam …
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Frontiers in Earth …,
2022 |
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[23]
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Modélisation prédictive par l'intelligence artificielle pour la prévision de l'état trophique dans la Lagune Nord de Tunis en utilisant la Chlorophylle-a en relation avec …
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2021 |
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[24]
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Variable Importance Measure System Based on Advanced Random Forest
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Computer Modeling in …,
2021 |
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[25]
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Machine Learning modeling techniques for forecasting the trophic state in a restored South Mediterranean lagoon using Chlorophyll-a in connection with the physico …
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2021 |
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[26]
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Statistics, machine learning and deep learning for population genetic inference
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2021 |
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[27]
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International Soil and Water Conservation Research
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2021 |
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[28]
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Anomaly Detection in Software-Defined Networks Using Cross-Validation
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… on Electrical, Computer …,
2021 |
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[29]
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Assessing The Impact of Land Cover On Groundwater Quality In a Smart City Using GIS And Machine Learning Algorithms
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2021 |
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[30]
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Metabolomic profiling reveals a differential role for hippocampal glutathione reductase in infantile memory formation
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Elife,
2021 |
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[31]
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Machine Learning Modeling Techniques for Forecasting the Trophic Level in a Restored South Mediterranean Lagoon Using Chlorophyll-a
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Wetlands,
2021 |
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[32]
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Artificial Intelligence-Empowered Chatbot for Effective COVID-19 Information Delivery to Older Adults
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International Journal of …,
2021 |
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[33]
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Application of random forest classification and remotely sensed data in geological mapping on the Jebel Meloussi area (Tunisia)
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Arabian Journal of Geosciences,
2021 |
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[34]
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Response of Mangrove Carbon Fluxes to Drought Stress Detected by Photochemical Reflectance Index
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Remote Sensing,
2021 |
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[35]
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Estimating traffic flow states with smart phone sensor data
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Transportation research part C: emerging …,
2021 |
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[36]
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OtoPair: Combining right and left eardrum otoscopy images to improve the accuracy of automated image analysis
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Applied Sciences,
2021 |
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[37]
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Differentiation model for insomnia disorder and the respiratory arousal threshold phenotype in obstructive sleep apnea in the taiwanese population based on …
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Diagnostics,
2021 |
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[38]
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Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
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Agronomy,
2021 |
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[39]
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Effects of air pollution in spatio-temporal modeling of asthma-prone areas using a machine learning model
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Termeh, A Sadeghi-Niaraki, SM Choi - Environmental Research,
2021 |
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[40]
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Machine Learning modeling techniques for forecasting the trophic level in a restored South Mediterranean lagoon using Chlorophyll-α
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2021 |
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[41]
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Meta-learning-based prediction of different corn cultivars from color feature extraction
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2021 |
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[42]
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Uncovering the Most Important Factors for Predicting Sexual Desire Using Explainable Machine Learning
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2021 |
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[43]
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Outlier Prediction Using Random Forest Classifier
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2021 |
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[44]
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Improving goal outcomes through relational catalyst support
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2021 |
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[45]
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Texture analysis using machine learning–based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant …
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2021 |
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[46]
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Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
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2021 |
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[47]
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CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma
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2021 |
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[48]
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On Fair Performance Comparison between Random Survival Forest and Cox Regression: An Example of Colorectal Cancer Study
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2021 |
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[49]
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APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies
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2021 |
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[50]
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Metabolome profiling of the developing murine lens
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2021 |
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[51]
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Assessment of urban cooling effect based on downscaled land surface temperature: A case study for Fukuoka, Japan
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2021 |
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[52]
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Görüntü işleme teknikleri kullanılarak bazı meyvelerin sınıflandırılması
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Dissertation,
2020 |
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[53]
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Uncovering the Most Important Factors for Predicting Sexual Desire using Interpretable Machine Learning
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2020 |
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[54]
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An in-depth study of random forests methodologies for short biomarker signature discovery
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2020 |
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[55]
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Risk Screening of Obstructive Sleep Apnea Syndrome by Body Profiles via Random Forests Model
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2020 |
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[56]
|
RF-PCA: A New Solution for Rapid Identification of Breast Cancer Categorical Data Based on Attribute Selection and Feature Extraction
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2020 |
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[57]
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RAINFOREST: a random forest approach to predict treatment benefit in data from (failed) clinical drug trials
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2020 |
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[58]
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Is Infidelity Predictable? Using Interpretable Machine Learning to Identify the Most Important Predictors of Infidelity
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2020 |
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[59]
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Downscale MODIS land surface temperature based on three different models to analyze surface urban heat island: a case study of Hangzhou
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Remote Sensing,
2020 |
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[60]
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PSForest: Improving deep forest via feature pooling and error screening
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Asian Conference on Machine Learning,
2020 |
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[61]
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Classification of apple varieties: Comparison of ensemble learning and naive bayes algorithms in H2O framework
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… Üniversitesi Ziraat Fakültesi …,
2020 |
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[62]
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Application of machine learning methods for design of crystallisation processes
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2020 |
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[63]
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Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting
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2020 |
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[64]
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Comparison of three similarity scores for bullet LEA matching
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2020 |
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[65]
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Predicting in vitro human mesenchymal stromal cell expansion based on individual donor characteristics using machine learning
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2020 |
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[66]
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Determination of Pear Cultivars (Pyrus communis L.) Based on Colour Change Levels by Using Data Mining
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2020 |
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[67]
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Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors
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2020 |
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[68]
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Tree aggregation for random forest class probability estimation
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2020 |
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[69]
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Metabolomic and Lipidomic Profiling of Bone Marrow Plasma Differentiates Patients with Monoclonal Gammopathy of Undetermined Significance from …
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2020 |
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[70]
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Scattering Feature Set Optimization and Polarimetric SAR Classification Using Object-Oriented RF-SFS Algorithm in Coastal Wetlands
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2020 |
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[71]
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Ensemble learning with member optimization for fault diagnosis of a building energy system
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2020 |
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[72]
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A visual complexity learning algorithm for modelling human performance in visual cognitive tests
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2019 |
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[73]
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Time Series Event Forecasting in Consumer Electronic Markets using Random Forests
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2019 |
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[74]
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FliPer : In search of solar-like pulsators among TESS targets
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2019 |
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[75]
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SINGLE CELL METABOLOMICS USING MASS SPECTROMETRY: DEVICES, METHODS AND APPLICATIONS
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2019 |
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[76]
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Internal leakage identification of hydraulic cylinder based on intrinsic mode functions with random forest
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2019 |
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[77]
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Characterizing boreal peatland plant composition and species diversity with hyperspectral remote sensing
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2019 |
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[78]
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High-Throughput Machine Learning from Electronic Health Records
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2019 |
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[79]
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FliPerClass: In search of solar-like pulsators among TESS targets
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2019 |
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[80]
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Effect of host genotype and Eimeria acervulina infection on the metabolome of meat-type chickens
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2019 |
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[81]
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Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient's Return to the Clinic
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2019 |
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[82]
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Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine …
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2019 |
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[83]
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Incorporating the Plant Phenological Trajectory into Mangrove Species Mapping with Dense Time Series Sentinel-2 Imagery and the Google Earth Engine Platform
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2019 |
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[84]
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Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests
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2019 |
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[85]
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Applications of Time-to-Event Data Analysis in Root Cause Analysis of Medical Imaging Systems Master Thesis (1BM96)
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Thesis,
2019 |
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[86]
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Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer
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2019 |
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[87]
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Machine Learning Applications to Predict Road Crash and Soccer Game Outcomes
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2019 |
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[88]
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RESPONSE STYLES ANALYSE VON ONLINE BEWERTUNGEN AUS DEM YELP DATENSATZ
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Thesis,
2018 |
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[89]
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Cell Phone Distraction: Data Mining Application on Fatality Analysis Reporting System (FARS)
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2018 |
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[90]
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A procession of metabolic alterations accompanying muscle senescence in Manduca sexta
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Scientific Reports,
2018 |
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[91]
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MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy
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2018 |
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[92]
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Experimental vaccination for onchocerciasis and the identification of early markers of protective immunity
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2018 |
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[93]
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On the overestimation of random forest's out-of-bag error
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PLOS ONE,
2018 |
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[94]
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MiRTaW: An Algorithm for Atmospheric Temperature and Water Vapor Profile Estimation from ATMS Measurements Using a Random Forests Technique
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Remote Sensing,
2018 |
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[95]
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Instance-level decision visualization of Random Forest models
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Thesis,
2018 |
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[96]
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. TREE AGGREGATION FOR RANDOM FOREST CLASS PROBABILITY ESTIMATION
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2018 |
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[97]
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Quantitative mapping and predictive modelling of Mn-nodules' distribution from hydroacoustic and optical AUV data linked by Random Forests machine learning
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2018 |
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[98]
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Canopy Cover Estimation from Landsat Images: Understory Impact onTop-of-canopy Reflectance in a Northern Hardwood Forest
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2018 |
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[99]
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Quantitative mapping and predictive modeling of Mn nodules' distribution from hydroacoustic and optical AUV data linked by random forests machine learning
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2018 |
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[100]
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Social anxiety in trans and gender diverse people
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2018 |
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[101]
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PREDICTIVE WETLAND MAPPING OF THE FWCP-PEACE REGION
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2018 |
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[102]
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PREDICTIVE WETLAND MAPPING OF THE WILLISTON DRAINAGE BASIN
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2018 |
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[103]
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Comparing Urban Vegetation Cover with Summer Land Surface Temperature in the Salt Lake Valley
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2017 |
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[104]
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Predicting Sense of Community and Participation by Applying Machine Learning to Open Government Data
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Policy & Internet,
2017 |
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[105]
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Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data
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Forestry: An International Journal of Forest Research,
2017 |
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[106]
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Texture-Based brain tumor segmentation in MR images
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2017 |
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[107]
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Time Dependent Kernel Density Estimation: A New Parameter Estimation Algorithm, Applications in Time Series Classification and Clustering
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2016 |
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[108]
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Sub-Pixel Classification of MODIS EVI for Annual Mappings of Impervious Surface Areas
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Remote Sensing,
2016 |
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[109]
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What is the distribution of the number of unique original items in a bootstrap sample?
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arXiv preprint arXiv:1602.05822,
2016 |
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[110]
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Resampling approaches in biometrical applications
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2016 |
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[111]
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Determination of a robust metabolic barcoding model for chemotaxonomy in Aizoaceae species: expanding morphological and genetic understanding
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2016 |
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[112]
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Simulated microgravity enhances oligodendrocyte mitochondrial function and lipid metabolism
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Journal of neuroscience research,
2016 |
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[113]
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Resampling Approaches in Biometrical Applications: Developments in Random Forests and in Bootstrap-based Procedures
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Dissertation,
2016 |
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[114]
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Coherence and structure in aphasic and non-aphasic spoken discourse
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2016 |
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[115]
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La recherche de sous-groupes par Virtual Twins
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2015 |
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[116]
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Mapping Post deforestation Land Use in the Brazilian Amazon using Remote Sensing Time Series
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2015 |
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[117]
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Testing the reliability and stability of the internal accuracy assessment of Random Forest for classifying tree defoliation levels using different validation methods
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Geocarto International,
2015 |
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[118]
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SIFT-MS analysis of Iberian hams from pigs reared under different conditions
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Meat science,
2015 |
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[119]
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A targeted metabolomics approach toward understanding metabolic variations in rice under pesticide stress
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Analytical biochemistry,
2015 |
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[120]
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Computer assisted detection and characterisation of breast cancer in MRI
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2015 |
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[121]
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Studying the needed effort for identifying duplicate issues
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Empirical Software Engineering,
2015 |
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[122]
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Assessment of resistance spot welding quality based on ultrasonic testing and tree-based techniques
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Journal of Materials Processing Technology,
2014 |
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[123]
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Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery
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Progress in Physical Geography,
2014 |
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[124]
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Avaluació de la capacitat predictiva de perfils d'expressió per el pronòstic del càncer colorectal
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A Berenguer Llergo - upcommons.upc.edu,
2014 |
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[125]
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Hooman Latifi, Bastian Schumann
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Environ Monit Assess,
2014 |
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[126]
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Fusion of voice signal information for detection of mild laryngeal pathology
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Applied Soft Computing,
2014 |
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[127]
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Biogeographic structure of the northeastern Pacific rocky intertidal: the role of upwelling and dispersal to drive patterns
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Ecography,
2014 |
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[128]
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Mining data with random forests: current options for real‐world applications
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,
2014 |
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[129]
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Mitochondrial Morphological Features Are Associated with Fission and Fusion Events
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PloS one,
2014 |
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[130]
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Spatial characterization of bark beetle infestations by a multidate synergy of SPOT and Landsat imagery
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Environmental monitoring and assessment,
2014 |
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[131]
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The Differential Diagnosis of Crohn's Disease and Celiac Disease Using Nuclear Magnetic Resonance Spectroscopy
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Applied Magnetic Resonance,
2014 |
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[132]
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Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections
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Journal of chemical information and modeling,
2014 |
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[133]
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Mitochondrial Morphological Features Are Associated with Fission and Fusion
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2014 |
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[134]
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Fariba Fathi, Laleh Majari Kasmaee, Kaveh Sohrabzadeh, Mohamad Rostami Nejad, Mohsen Tafazzoli & Afsaneh
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2014 |
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[135]
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The remote sensing of insect defoliation in Mopane woodland.
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2014 |
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[136]
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Anthropisation d'un système aquifère multicouche méditerranéen (Campo de Cartagena, SE Espagne). Approches hydrodynamique, géochimique et …
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2014 |
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[137]
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Anthropisation d'un système aquifer multicouche méditerranéen (Campo de Cartagena, SE Espagne). Approches hydrodynamique, géochimique et isotopique
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Doctoral dissertation, Université de Montpellier 2,
2013 |
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[138]
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The Remote Sensing of Insect Defoliation in Mopane Woodland
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Thesis,
2013 |
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[139]
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Anthropisation d'un système aquifère multicouche méditerranéen (Campo de Cartagena, SE Espagne): approches hydrodynamique, géochimique et isotopique.
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Doctoral dissertation, Université Montpellier II-Sciences et Techniques du Languedoc,
2013 |
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[140]
|
Utilizing random forest analysis with otolith mass and total fish length to obtain rapid and objective estimates of fish age
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|
Canadian Journal of Fisheries and Aquatic Sciences,
2013 |
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[141]
|
A metabonomics investigation of multiple sclerosis by nuclear magnetic resonance
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Magnetic Resonance in Chemistry,
2013 |
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[142]
|
Relationship Between Serum Level of Selenium and Metabolites Using 1HNMR-Based Metabonomics in Parkinson's Disease
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Applied Magnetic Resonance,
2013 |
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[143]
|
Measuring the effectiveness of conservation: A novel framework to quantify the benefits of sage-grouse conservation policy and easements in Wyoming
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|
PloS one,
2013 |
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[144]
|
Identifying the origin of groundwater samples in a multi-layer aquifer system with Random Forest classification
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|
Journal of Hydrology,
2013 |
|
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[145]
|
Anthropization of a semiarid Mediterranean multi-layer aquifer system (Campo de Cartagena, SE Spain): hydrodynamic, geochemical and isotopic approaches
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2013 |
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[146]
|
Measuring the Effectiveness of Conservation: A Novel Framework to Quantify
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2013 |
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[147]
|
Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review
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|
PloS one,
2012 |
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[148]
|
Coal Pit Mapping with Random Forest-Based Ensemble Machine Learning at Lower Benue Trough
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[149]
|
Self-Optimizing Random Forests
|
|
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