Citation Impact
Citing Papers
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)
2019 Standout
Fruits and vegetables quality evaluation using computer vision: A review
2018 Standout
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
2020 Standout
Machine learning in agriculture domain: A state-of-art survey
2021 Standout
Crop yield prediction using machine learning: A systematic literature review
2020 Standout
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
2016 Standout
Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings
2016
ilastik: interactive machine learning for (bio)image analysis
2019 Standout
Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges
2016
Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods
2016
Machine Learning methods for Quantitative Radiomic Biomarkers
2015 Standout
A comparison of random forest variable selection methods for classification prediction modeling
2019 Standout
Trends in extreme learning machines: A review
2014 Standout
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
Applications of machine learning in drug discovery and development
2019 Standout
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
2018
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters
2019
Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery
2016
Review of Deep Learning Algorithms and Architectures
2019
Recent applications of big data analytics in railway transportation systems: A survey
2018 Standout
Recent advances in the use of computer vision technology in the quality assessment of fresh meats
2011
Review of digital twin about concepts, technologies, and industrial applications
2020 Standout
Data Analysis Strategies in Medical Imaging
2018
Applications of Deep Learning and Reinforcement Learning to Biological Data
2018
Implementation of the LandTrendr Algorithm on Google Earth Engine
2018 Standout
Colour Measurement and Analysis in Fresh and Processed Foods: A Review
2012 Standout
Random vector functional link network for short-term electricity load demand forecasting
2016 Standout
Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
2016
Driver Fatigue Detection Systems: A Review
2018 Standout
Detecting Neolithic Burial Mounds from LiDAR-Derived Elevation Data Using a Multi-Scale Approach and Machine Learning Techniques
2018
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data
2016
Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing
2018
Predictive maintenance in the Industry 4.0: A systematic literature review
2020 Standout
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Determination of senescent spotting in banana (Musa cavendish) using fractal texture Fourier image
2007
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China
2019
A survey on ensemble learning
2019 Standout
Past, present, and future of smart learning: a topic-based bibliometric analysis
2021 Standout
AI-enabled adaptive learning systems: A systematic mapping of the literature
2021 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
A comprehensive evaluation of random vector functional link networks
2015
Machine learning methods for solar radiation forecasting: A review
2017 Standout
Strong Correlation between Stress Drop and Peak Ground Acceleration for Recent M 1–4 Earthquakes in the San Francisco Bay Area
2018
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine
2014
Forecasting yield by integrating agrarian factors and machine learning models: A survey
2018
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems
2019
Decision forest: Twenty years of research
2015
Understand students' self-reflections through learning analytics
2018
Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition
2017
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
2018
Time Series Classification with HIVE-COTE
2018
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]
2016
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
2020
Graph-based approach for airborne light detection and ranging segmentation
2017 Standout
Ensemble learning: A survey
2018 Standout
Deep learning for time series classification: a review
2019 Standout
Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration
2017
Works of Eva Cernadas being referenced
Do we need hundreds of classifiers to solve real world classification problems
2014
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation
2013
Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks
2011
An extensive experimental survey of regression methods
2018
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics
2004
Classification of agricultural soil parameters in India
2017
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods
2018
Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary
2013