Citation Impact
Citing Papers
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
2022 StandoutNobel
Machine learning predicts new anti-CRISPR proteins
2020 StandoutNobel
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
2019
nDNA-prot: identification of DNA-binding proteins based on unbalanced classification
2014
Multi-class texture analysis in colorectal cancer histology
2016
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
2021 Standout
Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples
2016
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
2020 Standout
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
2013
Prediction of protein-protein interactions between viruses and human by an SVM model
2012
Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods
2011
Early Holocenic and Historic mtDNA African Signatures in the Iberian Peninsula: The Andalusian Region as a Paradigm
2015
Predicting Bevirimat resistance of HIV-1 from genotype
2010
Natural products: An evolving role in future drug discovery
2011 Standout
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering
2013
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers
2011
AI in health and medicine
2022 Standout
Mining textural knowledge in biological images: Applications, methods and trends
2016
Designing antimicrobial peptides: form follows function
2011 Standout
pDHS-SVM: A prediction method for plant DNase I hypersensitive sites based on support vector machine
2017
PathogenFinder - Distinguishing Friend from Foe Using Bacterial Whole Genome Sequence Data
2013
Trends in extreme learning machines: A review
2014 Standout
A survey on deep learning in medical image analysis
2017 Standout
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Genomic and Functional Characterization of Enterococcus faecalis Isolates Recovered From the International Space Station and Their Potential for Pathogenicity
2021 StandoutNobel
Constructing Ensembles of Classifiers by Means of Weighted Instance Selection
2009
Applications of machine learning in drug discovery and development
2019 Standout
The N-terminal Helical Region of the Hepatitis C Virus p7 Ion Channel Protein Is Critical for Infectious Virus Production
2015 StandoutNobel
Characterization of Domain–Peptide Interaction Interface: A Case Study on the Amphiphysin-1 SH3 Domain
2008
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
APD3: the antimicrobial peptide database as a tool for research and education
2015 Standout
Study of corporate credit risk prediction based on integrating boosting and random subspace
2011
Predicting protein–protein interactions based only on sequences information
2007
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
Artificial intelligence in drug discovery and development
2020 Standout
Machine learning models and bankruptcy prediction
2017
Computational Methods for Predicting Protein‐Protein Interactions Using Various Protein Features
2018
Progressive subspace ensemble learning
2016
ProFET: Feature engineering captures high-level protein functions
2015
Using deep transfer learning for image-based plant disease identification
2020 Standout
The Pascal Visual Object Classes Challenge: A Retrospective
2014 Standout
ImageNet Large Scale Visual Recognition Challenge
2015 Standout
Semi-supervised Elastic net for pedestrian counting
2010
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
2018
Incremental face recognition for large-scale social network services
2012
Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning
2011
Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests
2019
Feature Selection Inspired Classifier Ensemble Reduction
2013
Imbalanced Protein Data Classification Using Ensemble FTM-SVM
2015
Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography
2019
iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
2013
Knowledge Distillation: A Survey
2021 Standout
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017 Standout
Ensemble of keyword extraction methods and classifiers in text classification
2016 Standout
Clustering-based undersampling in class-imbalanced data
2017
Learned protein embeddings for machine learning
2018 StandoutNobel
Pleistocene North African genomes link Near Eastern and sub-Saharan African human populations
2018 StandoutScienceNobel
Local binary features for texture classification: Taxonomy and experimental study
2016
BPSO-Adaboost-KNN ensemble learning algorithm for multi-class imbalanced data classification
2015
A tutorial on human activity recognition using body-worn inertial sensors
2014 Standout
Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance
2016
A survey on ensemble learning
2019 Standout
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
2017
Design and Implementation of Real Time Face Recognition System (RTFRS)
2014
Evolutionary under-sampling based bagging ensemble method for imbalanced data classification
2017
A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine
2011
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Short-term wind speed prediction model based on GA-ANN improved by VMD
2019 Standout
An improved boosting based on feature selection for corporate bankruptcy prediction
2013
Data-Driven Intelligent Transportation Systems: A Survey
2011 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
T-cell epitope vaccine design by immunoinformatics
2013
AI for radiographic COVID-19 detection selects shortcuts over signal
2021
Boosted SVM with active learning strategy for imbalanced data
2014
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Machine Learning in Agriculture: A Review
2018 Standout
Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification
2017
Random subspace evidence classifier
2013
iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
2014
On Exploration of Classifier Ensemble Synergism in Pedestrian Detection
2009
Recent advances in convolutional neural networks
2017 Standout
Addressing imbalanced data with argument based rule learning
2015
Adapted ensemble classification algorithm based on multiple classifier system and feature selection for classifying multi-class imbalanced data
2015
Hybrid <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula>-Nearest Neighbor Classifier
2015
Performance measures in evaluating machine learning based bioinformatics predictors for classifications
2016
Object Detection With Deep Learning: A Review
2019 Standout
Object Detection in 20 Years: A Survey
2023 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Predicting China’s SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods
2016
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
2023 StandoutNobel
Hybrid Adaptive Classifier Ensemble
2014
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2015 Standout
Assessing the Performance of the MM/PBSA and MM/GBSA Methods. 1. The Accuracy of Binding Free Energy Calculations Based on Molecular Dynamics Simulations
2010 Standout
Chemically Modified Bacterial Sacculi as a Vaccine Microparticle Scaffold
2022 StandoutNobel
Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
2019 Standout
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2015 Standout
Res2Net: A New Multi-Scale Backbone Architecture
2019 Standout
Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring
2013
A Survey on Mobile Edge Computing: The Communication Perspective
2017 Standout
Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition
2013
Adversarial co-distillation learning for image recognition
2020
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014 Standout
Works of Loris Nanni being referenced
Genetic programming for creating Chou’s pseudo amino acid based features for submitochondria localization
2008
Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information
2011
Different Approaches for Extracting Information from the Co-Occurrence Matrix
2013
Protein classification using texture descriptors extracted from the protein backbone image
2010
Artificial intelligence techniques for embryo and oocyte classification
2012
Evolved Feature Weighting for Random Subspace Classifier
2008
Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins
2008
Prediction of protein structure classes by incorporating different protein descriptors into general Chou’s pseudo amino acid composition
2014
Combining multiple approaches for gene microarray classification
2012
Local binary patterns variants as texture descriptors for medical image analysis
2010
A set of descriptors for identifying the protein–drug interaction in cellular networking
2014
An ensemble of reduced alphabets with protein encoding based on grouped weight for predicting DNA-binding proteins
2008
Wavelet images and Chou’s pseudo amino acid composition for protein classification
2011
Fusion of classifiers for predicting protein–protein interactions
2005
A critic evaluation of methods for COVID-19 automatic detection from X-ray images
2021
Heterogeneous bag-of-features for object/scene recognition
2013
Experimental comparison of one-class classifiers for online signature verification
2005
An Empirical Study of Different Approaches for Protein Classification
2014
Ensemble of classifiers for protein fold recognition
2006
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
2008
Fair comparison of skin detection approaches on publicly available datasets
2020
Double committee adaboost
2012
An ensemble of support vector machines for predicting virulent proteins
2008
Convolutional Neural Networks for ATC Classification
2018
State of the art in Biometrics
2011
Local Binary Patterns: New Variants and Applications
2013
Ensemblator: An ensemble of classifiers for reliable classification of biological data
2006
FuzzyBagging: A novel ensemble of classifiers
2005
Machine learning algorithms for T-cell epitopes prediction
2005
Hyperplanes for predicting protein–protein interactions
2005
7th International Conference on Practical Applications of Computational Biology & Bioinformatics
2013
An ensemble of K-local hyperplanes for predicting protein–protein interactions
2006
Handcrafted vs. non-handcrafted features for computer vision classification
2017
Insect pest image detection and recognition based on bio-inspired methods
2020
Survey on LBP based texture descriptors for image classification
2011
Ensemble of convolutional neural networks for bioimage classification
2018
A novel ensemble of classifiers for protein fold recognition
2006
Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification
2015
Deep learning and transfer learning features for plankton classification
2019
Weighted Sub-Gabor for face recognition
2006
Ensemble of Multiple Pedestrian Representations
2008
A local approach based on a Local Binary Patterns variant texture descriptor for classifying pain states
2010
Coupling different methods for overcoming the class imbalance problem
2015