Found 4006 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

Results, key novel contributions, and significant open problems derived from this work center around the attribution of these holistic quality measures to specific machine learning and inference stages of the pipeline, each with their performance measures. Expand abstract.
42 days ago
10/10 relevant
arXiv

Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: the Evaluation of Text Classification Algorithms Using Machine Learning

Conclusion: to the best of our knowledge, this study is the first to investigate a machine learning strategy for text classification using primary care teleconsultation datasets. Expand abstract.
42 days ago
10/10 relevant
Preprints.org

Don't Dismiss Logistic Regression: The Case for Sensible Extraction of Interactions in the Era of Machine Learning

Such hybrid methods may help facilitate the widespread adoption of machine learning techniques in the biomedical setting. Expand abstract.
42 days ago
10/10 relevant
bioRxiv

Pseudo Random Number Generation: a Reinforcement Learning approach

But what about using machine learning to generate PRNs generators? Expand abstract.
43 days ago
5/10 relevant
arXiv

Application of machine learning in Bose-Einstein condensation critical-temperature analyses of path-integral Monte Carlo simulations

We detail the use of simple machine learning algorithms to determine the critical Bose-Einstein condensation (BEC) critical temperature $T_\text{c}$ from ensembles of paths created by path-integral Monte Carlo (PIMC) simulations. Expand abstract.
44 days ago
10/10 relevant
arXiv

Financial interests and evidence in public comments on the FDA framework for modifications to artificial intelligence/machine learning-based medical devices

The US Food and Drug Administration (FDA) has proposed a regulatory framework for modifications to artificial intelligence/machine learning-based software as a medical device (SaMD). Expand abstract.
44 days ago
10/10 relevant
medRxiv

Toward an Automated Auction Framework for Wireless Federated Learning Services Market

The emerging paradigm of federated learning efficiently builds machine learning models while allowing the private data to be kept at local devices. Expand abstract.
45 days ago
4/10 relevant
arXiv

A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration

In this article, we present low-cost sensor technologies, and we survey and assess machine learning-based calibration techniques for their calibration. Expand abstract.
45 days ago
5/10 relevant
arXiv

Retrieving Quantum Information with Active Learning

Active learning is a machine learning method aiming at optimal experimental design. Expand abstract.
45 days ago
4/10 relevant
arXiv

Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques

The use of stenosis and calcification profiles will lead to the development of better-informed diagnostic and prognostic tools. Expand abstract.
46 days ago
7/10 relevant
arXiv