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
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
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
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 algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
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
Omics Profiling in Precision Oncology
2016
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
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
A PSO-based multi-objective multi-label feature selection method in classification
2017
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
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
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
2018
Deep visual domain adaptation: A survey
2018 Standout
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
2022 Standout
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
2017 Standout
Toward a Global Understanding of Chemical Pollution: A First Comprehensive Analysis of National and Regional Chemical Inventories
2020 Standout
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
A review of feature selection methods on synthetic data
2012
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Transitive Transfer Learning
2015
Correct machine learning on protein sequences: a peer-reviewing perspective
2015
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion
2006
Extended-Connectivity Fingerprints
2010 Standout
Industrial Internet-of-Things Security Enhanced With Deep Learning Approaches for Smart Cities
2020 Standout
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
2016
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Digital Reticular Chemistry
2020 StandoutNobel
Information Retrieval and Text Mining Technologies for Chemistry
2017
A review on the application of deep learning in system health management
2018
Multi-objective PSO based online feature selection for multi-label classification
2021
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions
2020
Evaluating Microarray-based Classifiers: An Overview
2008
Particle Swarm Optimization: A Comprehensive Survey
2022 Standout
Toward the estimation of the absolute quality of individual protein structure models
2010 Standout
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
A survey on swarm intelligence approaches to feature selection in data mining
2020
A Tutorial on Multilabel Learning
2015 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
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
Ensemble deep learning in bioinformatics
2020
fitdistrplus: AnRPackage for Fitting Distributions
2015 Standout
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
2020 Standout
mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
2010
Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection
2017
A Survey of Transfer and Multitask Learning in Bioinformatics
2011
Computational selection of antibody-drug conjugate targets for breast cancer
2015
Predicting Key Example Compounds in Competitors' Patent Applications Using Structural Information Alone
2008
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
A multi-ensemble method based on deep auto-encoders for fault diagnosis of rolling bearings
2019
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
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information
2019
Deep Learning for Intelligent Human–Computer Interaction
2022 Standout
Improving the Efficiency of Ligand-Binding Protein Design with Molecular Dynamics Simulations
2019 StandoutNobel
Works of Vı́ctor Robles being referenced
Age-Based Comparison of Human Dendritic Spine Structure Using Complete Three-Dimensional Reconstructions
2012
Comparison between supervised and unsupervised classifications of neuronal cell types: A case study
2010
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data
2010
GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms
2004
Feature selection for multi-label naive Bayes classification
2009
Machine learning in bioinformatics
2006