Citation Impact
Citing Papers
Hyperband: a novel bandit-based approach to hyperparameter optimization
2017
Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects
2020
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Machine learning in agriculture domain: A state-of-art survey
2021 Standout
Text Data Augmentation for Deep Learning
2021 Standout
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
2021 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
The trRosetta server for fast and accurate protein structure prediction
2021 StandoutNobel
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
2020 Standout
Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning
2018
A review of automatic selection methods for machine learning algorithms and hyper-parameter values
2016
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
AutoML: A survey of the state-of-the-art
2020
Physics-Informed Neural Networks for Heat Transfer Problems
2021 Standout
Effective hyperparameter optimization using Nelder-Mead method in deep learning
2017
Deep visual domain adaptation: A survey
2018 Standout
Transitive Transfer Learning
2015
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
ZOOpt: a toolbox for derivative-free optimization
2022
A survey on semi-supervised learning
2019 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Physics-informed machine learning
2021 Standout
Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning
2019
Efficient Architecture Search by Network Transformation
2018
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
2019
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction
2019
Works of Aaron Klein being referenced
Towards Automatically-Tuned Neural Networks
2016
Practical Hyperparameter Optimization for Deep Learning
2018
Bayesian optimization with robust Bayesian neural networks
2016
Learning Curve Prediction with Bayesian Neural Networks
2017
Efficient and robust automated machine learning
2015
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks
2018
Fast Bayesian hyperparameter optimization on large datasets
2017
NAS-Bench-101: Towards Reproducible Neural Architecture Search
2019