Results 41 to 50 of about 6,098 (213)

Trust in AutoML

, 2020
We explore trust in a relatively new area of data science: Automated Machine Learning (AutoML). In AutoML, AI methods are used to generate and optimize machine learning models by automatically engineering features, selecting models, and optimizing ...
Su, Hui, Muller, Michael, Bingsheng Yao, Jaimie Drozdal, Dakuo Wang, Weisz, Justin, Justin Weisz, Changruo Zhao, Lin Ju, Zhao, Changruo, Yao, Bingsheng, Drozdal, Jaimie, Wang, Dakuo, Gaurav Dass, Dass, Gaurav, Hui Su, Ju, Lin, Michael Muller   +17 more
core   +1 more source

AutoML Two-Sample Test

Advances in Neural Information Processing Systems 35, 2022
NeurIPS ...
Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf   +4 more
openaire   +4 more sources

FSPL: A Meta–Learning Approach for a Filter and Embedded Feature Selection Pipeline

International Journal of Applied Mathematics and Computer Science, 2023
There are two main approaches to tackle the challenge of finding the best filter or embedded feature selection (FS) algorithm: searching for the one best FS algorithm and creating an ensemble of all available FS algorithms.
Lazebnik Teddy, Rosenfeld Avi
doaj   +1 more source

AutoML

Automated Machine Learning ...
Ioannis Kourouklides
core   +3 more sources

A CNN-ViT Hybrid Architecture Search Benchmark on a Large-Scale Dataset

IEEE Access
In recent years, Neural Architecture Search (NAS) has emerged as a promising methodology to automate the design of deep neural networks, enabling the discovery of high-performing architectures across a wide range of tasks.
Luca Robbiano, Francesca Pistilli, Giuseppe Averta   +2 more
doaj   +1 more source

Clinical performance of automated machine learning: A systematic review

Annals, Academy of Medicine, Singapore
Introduction: Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical applications of autoML, assess the capabilities of utilised platforms, evaluate
Arun James Thirunavukarasu, Kabilan Elangovan, Laura Gutierrez, Refaat Hassan, Yong Li, Ting Fang Tan, Haoran Cheng, Zhen Ling Teo, Gilbert Lim, Daniel Shu Wei Ting   +9 more
doaj   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

To Share or Not to Share: Investigating Drivers for Sharing Online News Using Automated Machine Learning and Probabilistic Modeling

Cybernetics and Information Technologies
The article leverages advanced machine learning to investigate what drives sharing behavior for online news content. To this end, it investigates a dataset of 39,797 pieces of individual news and uses 59 different features to outline the key influences ...
Gerunov Anton A.
doaj   +1 more source

Automated Machine Learning in Dentistry: A Narrative Review of Applications, Challenges, and Future Directions

Diagnostics
The adoption of automated machine learning (AutoML) in dentistry is transforming clinical practices by enabling clinicians to harness machine learning (ML) models without requiring extensive technical expertise.
Sohaib Shujaat
doaj   +1 more source

Application of Machine Learning Approaches in Electrophoresis—A Comprehensive Review

ELECTROPHORESIS, EarlyView.
This review paper highlights key research on the applications of machine learning tools in electrophoresis. ABSTRACT The electrophoretic technique is widely used to analyze and purify charged molecules based on their size, shape, and charge using an electric field for various applications, including DNA fingerprinting, genetic research, disease ...
Umaeer Al Hammad, Aminul Islam Khan, Prashanta Dutta   +2 more
wiley   +1 more source