Citation Impact
Citing Papers
Bayesian optimization with robust Bayesian neural networks
2016
Opening the neural network black box: an algorithm for extracting rules from function approximating artificial neural networks
2000
A Roadmap for a Rigorous Science of Interpretability.
2017
Efficient and robust automated machine learning
2015
Learning to construct fast signal processing implementations
2003
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
2021 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
2020
Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
2016
A survey of MRI-based medical image analysis for brain tumor studies
2013 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
2020 Standout
A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset
2019
Random forest versus logistic regression: a large-scale benchmark experiment
2018
A comparison of random forest variable selection methods for classification prediction modeling
2019 Standout
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
2020 Standout
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
2015 Standout
Identification of Alfalfa Leaf Diseases Using Image Recognition Technology
2016
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)
2014
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
End-to-end design of wearable sensors
2022 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges
2017 Standout
Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion
2019 Standout
SPIRAL: Code Generation for DSP Transforms
2005
A Survey on Ensemble Learning for Data Stream Classification
2017
Early detection of anomalies in dam performance: A methodology based on boosted regression trees
2017
Knowledge discovery in data streams with regression tree methods
2011
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining
2017
Toward Digitalization of Maritime Transport?
2019 Standout
Extremely randomized trees
2006 Standout
An empirical comparison of machine learning techniques for dam behaviour modelling
2015
The WEKA data mining software
2009 Standout
Functional Trees
2004
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
2015
Learning model trees from evolving data streams
2010
Artificial intelligence, bias and clinical safety
2019 Standout
Automating the Construction of Internet Portals with Machine Learning
2000
A naive Bayes model for robust remaining useful life prediction of lithium-ion battery
2014
A survey of anomaly detection techniques in financial domain
2015
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
2020
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data
2016
Random vector functional link network for short-term electricity load demand forecasting
2016 Standout
Real-time Dynamic Hydraulic Model for Potable Water Loss Reduction
2016
Rotating machinery prognostics: State of the art, challenges and opportunities
2008 Standout
Predictive maintenance in the Industry 4.0: A systematic literature review
2020 Standout
A random forest guided tour
2016 Standout
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
OpenML: An R package to connect to the machine learning platform OpenML
2017
A Survey on Graphical Methods for Classification Predictive Performance Evaluation
2011
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
2020 Standout
Variable selection bias in regression trees with constant fits
2003
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
2015 Standout
Precision-Recall-Gain curves: PR analysis done right
2015
Battery Lifetime Prognostics
2020 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Learning from imbalanced data: open challenges and future directions
2016 Standout
A survey on semi-supervised learning
2019 Standout
A survey of network anomaly detection techniques
2015 Standout
The Design and Implementation of FFTW3
2005 Standout
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning
2018 Standout
A complete fuzzy decision tree technique
2003
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties
2021 Standout
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things
2022 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Decision trees: a recent overview
2011 Standout
Segmenting Brain Tumors Using Pseudo–Conditional Random Fields
2008
Survey on deep learning with class imbalance
2019 Standout
Variable importance analysis: A comprehensive review
2015 Standout
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
2019 Standout
Very Short-Term Load Forecasting: Wavelet Neural Networks With Data Pre-Filtering
2012
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
2018
A survey on concept drift adaptation
2014 Standout
Semi-supervised classification trees
2017
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Ensemble learning: A survey
2018 Standout
Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards
2004 Standout
Collective Classification in Network Data
2008 Standout
Works of Luı́s Torgo being referenced
Utility-based fraud detection
2011
Partial Linear Trees
2000
Functional Models for Regression Tree Leaves
1997
Ensembles for Time Series Forecasting
2014
Regression Using Classification Algorithms
1997
OpenML
2014
Knowledge Discovery in Databases: PKDD 2005
2005
Data Mining With R: Learning By Case Studies
2010
Inductive learning of tree-based regression models
1999
SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels
2020
A Survey of Predictive Modeling on Imbalanced Domains
2016
Predictive models for forecasting hourly urban water demand
2010
Regression using classification algorithms
1997
Resampling strategies for regression
2014