Automatic Machine Learning Model Selection
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening.
Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities
For this purpose, we present deepRAM, an end-to-end deep learning tool that provides an implementation of novel and previously proposed architectures; its fully automatic model selection procedure allows us to perform a fair and unbiased comparison of deep learning architectures.
Performance Accuration Method of Machine Learning for Diabetes Prediction
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
A predictive model for the identification of learning styles in MOOC environments
Massive online open course (MOOC) platform generates a large amount of data, which provides many opportunities for studying the behaviors of learners.
Deep Pipeline Embeddings for AutoML
As a remedy, this paper proposes a novel neural architecture that captures the deep interaction between the components of a Machine Learning pipeline.
