Citation Impact
Citing Papers
Nature of the protein universe
2009 StandoutNobel
Machine learning predicts new anti-CRISPR proteins
2020 StandoutNobel
Supervised learning with decision tree-based methods in computational and systems biology
2009
PLS-SEM’s most wanted guidance
2022 Standout
Multifault Diagnosis of Rolling Element Bearings Using a Wavelet Kurtogram and Vector Median-Based Feature Analysis
2015
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
Identification and scenario prediction of degree of wetland damage in Guangxi based on the CA-Markov model
2021 Standout
Sentiment analysis algorithms and applications: A survey
2014 Standout
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
2020 Standout
Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling
2020
Scoring functions for protein–protein interactions
2013 StandoutNobel
Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
2012
Ten quick tips for machine learning in computational biology
2017
Automated server predictions in CASP7
2007
ilastik: interactive machine learning for (bio)image analysis
2019 Standout
TFOS DEWS II Diagnostic Methodology report
2017 Standout
Large language models in medicine
2023 Standout
I-TASSER server: new development for protein structure and function predictions
2015 Standout
An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.
2009 Standout
A Shared Vision for Machine Learning in Neuroscience
2018
Deep learning is combined with massive-scale citizen science to improve large-scale image classification
2018
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Automated comparative protein structure modeling with SWISS‐MODEL and Swiss‐PdbViewer: A historical perspective
2009 Standout
SoilGrids250m: Global gridded soil information based on machine learning
2017 Standout
Automatic classification of the interferential tear film lipid layer using colour texture analysis
2013
Omics Profiling in Precision Oncology
2016
Strategies and challenges for the next generation of antibody–drug conjugates
2017 Standout
Applications of machine learning in drug discovery and development
2019 Standout
I-TASSER: a unified platform for automated protein structure and function prediction
2010 Standout
I-TASSER server for protein 3D structure prediction
2008 Standout
The SWISS-MODEL Repository and associated resources
2008 Standout
Artificial intelligence in healthcare
2018 Standout
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
2009
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Parameter estimation approach for particle flow model of rockfill materials using response surface method
2015
Deep Learning Approach for Intelligent Intrusion Detection System
2019 Standout
Machine-learning-assisted high-throughput computational screening of high performance metal–organic frameworks
2020
Detecting the Boundaries of Urban Areas in India: A Dataset for Pixel-Based Image Classification in Google Earth Engine
2016
Eighty-metre resolution 3D soil-attribute maps for Tasmania, Australia
2015
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
2017 Standout
Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?
2021 Standout
Materials discovery and design using machine learning
2017
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation
2015
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
2018
How to decarbonise international shipping: Options for fuels, technologies and policies
2019 Standout
Deep visual domain adaptation: A survey
2018 Standout
A naive Bayes model for robust remaining useful life prediction of lithium-ion battery
2014
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
2021 Standout
Toward a Global Understanding of Chemical Pollution: A First Comprehensive Analysis of National and Regional Chemical Inventories
2020 Standout
Transitive Transfer Learning
2015
Design of Intrusion Detection System for Internet of Things Based on Improved BP Neural Network
2019 Standout
Correct machine learning on protein sequences: a peer-reviewing perspective
2015
Extended-Connectivity Fingerprints
2010 Standout
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
An intrusion detection system using network traffic profiling and online sequential extreme learning machine
2015
Prediction in HRM research–A gap between rhetoric and reality
2021
Digital Reticular Chemistry
2020 StandoutNobel
Recycling phosphogypsum and construction demolition waste for cemented paste backfill and its environmental impact
2018 Standout
High Spatial Resolution Visual Band Imagery Outperforms Medium Resolution Spectral Imagery for Ecosystem Assessment in the Semi-Arid Brazilian Sertão
2017
Information Retrieval and Text Mining Technologies for Chemistry
2017
Concluding remarks: current and next generation MOFs
2021 StandoutNobel
Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions
2020
Evaluating Microarray-based Classifiers: An Overview
2008
Driver Behavior Analysis for Safe Driving: A Survey
2015 Standout
Battery Lifetime Prognostics
2020 Standout
Deep Learning for Encrypted Traffic Classification: An Overview
2019 Standout
Multi-dimensional classification with Bayesian networks
2011
Toward the estimation of the absolute quality of individual protein structure models
2010 Standout
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers
2012
Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis
2014
HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
2017
Review: Calibration of the discrete element method
2017 Standout
Costs and benefits to European shipping of ballast-water and hull-fouling treatment: Impacts of native and non-indigenous species
2015
Random forest in remote sensing: A review of applications and future directions
2016 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill
2018
A Review on Multi-Label Learning Algorithms
2013 Standout
A Survey of Transfer and Multitask Learning in Bioinformatics
2011
Computational selection of antibody-drug conjugate targets for breast cancer
2015
TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets
2017
Predicting Key Example Compounds in Competitors' Patent Applications Using Structural Information Alone
2008
Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials
2019
Google Earth Engine Applications
2019 Standout
Loneliness Across the Life Span
2015 Standout
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise
2020
Omics AnalySIs System for PRecision Oncology (OASISPRO): a web-based omics analysis tool for clinical phenotype prediction
2017
Improving the Efficiency of Ligand-Binding Protein Design with Molecular Dynamics Simulations
2019 StandoutNobel
Works of Aritz Pérez being referenced
A precise eye-gaze detection and tracking system
2003
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
2009
A general framework for the statistical analysis of the sources of variance for classification error estimators
2012
Fish recruitment prediction, using robust supervised classification methods
2009
Bayesian classifiers based on kernel density estimation: Flexible classifiers
2008
The potential use of a Gadget model to predict stock responses to climate change in combination with Bayesian networks: the case of Bay of Biscay anchovy
2011
Machine learning in bioinformatics
2006