Results 31 to 40 of about 154,891 (246)

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

JMIR Medical Informatics, 2021
BackgroundThe rapid growth of the biomedical literature makes identifying strong evidence a time-consuming task. Applying machine learning to the process could be a viable solution that limits effort while maintaining accuracy.
Wael Abdelkader, Tamara Navarro, Rick Parrish, Chris Cotoi, Federico Germini, Alfonso Iorio, R Brian Haynes, Cynthia Lokker   +7 more
doaj   +1 more source

Active-Learning Approaches for Landslide Mapping Using Support Vector Machines

Remote Sensing, 2021
Ex post landslide mapping for emergency response and ex ante landslide susceptibility modelling for hazard mitigation are two important application scenarios that require the development of accurate, yet cost-effective spatial landslide models.
Zhihao Wang, Alexander Brenning
doaj   +1 more source

Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop

Procedia Computer Science, 2021
Xunta de Galicia; ED431G 2019 ...
Mosqueira-Rey, Eduardo, Alonso Ríos, David, Baamonde-Lozano, Andrés   +2 more
openaire   +2 more sources

PAL – parallel active learning for machine-learned potentials

Digital Discovery
An automated, modular, and parallel active learning (PAL) library that integrates AL tasks and manages their execution and communication on shared- and distributed-memory systems using the Message Passing Interface (MPI).
Chen Zhou, Marlen Neubert, Yuri Koide, Yumeng Zhang, Van-Quan Vuong, Tobias Schlöder, Stefanie Dehnen, Pascal Friederich   +7 more
openaire   +5 more sources

Yoked learning in molecular data science

Artificial Intelligence in the Life Sciences
Active machine learning is an established and increasingly popular experimental design technique where the machine learning model can request additional data to improve the model's predictive performance. It is generally assumed that this data is optimal
Zhixiong Li, Yan Xiang, Yujing Wen, Daniel Reker   +3 more
doaj   +1 more source

Calibration of uncertainty in the active learning of machine learning force fields

Machine Learning: Science and Technology, 2023
FFLUX is a machine learning force field that uses the maximum expected prediction error (MEPE) active learning algorithm to improve the efficiency of model training.
Adam Thomas-Mitchell, Glenn Hawe, Paul L A Popelier   +2 more
doaj   +1 more source

An Ensemble Transfer Learning Model for Detecting Stego Images

Applied Sciences, 2023
As internet traffic grows daily, so does the need to protect it. Network security protects data from unauthorized access and ensures their confidentiality and integrity.
Dina Yousif Mikhail, Roojwan Sc Hawezi, Shahab Wahhab Kareem   +2 more
doaj   +1 more source

Multi-Class Adaptive Active Learning for Predicting Student Anxiety

IEEE Access
This research delves into applying active and machine learning techniques to predict student anxiety. This research explores how these technologies can be explored to understand and predict student anxiety levels.
Ahmad Almadhor, Sidra Abbas, Gabriel Avelino Sampedro, Shtwai Alsubai, Stephen Ojo, Abdullah Al Hejaili, Lubomira Strazovska   +6 more
doaj   +1 more source

Multi-Label Active Learning-Based Machine Learning Model for Heart Disease Prediction

Sensors, 2022
The rapid growth and adaptation of medical information to identify significant health trends and help with timely preventive care have been recent hallmarks of the modern healthcare data system.
Ibrahim M. El-Hasnony, Omar M. Elzeki, Ali Alshehri, Hanaa Salem   +3 more
doaj   +1 more source

Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting? [PDF]

PeerJ Computer Science
With the increasing reliance on machine learning (ML) across diverse disciplines, ML code has been subject to a number of issues that impact its quality, such as lack of documentation, algorithmic biases, overfitting, lack of reproducibility, inadequate ...
Nouf Alturayeif, Jameleddine Hassine
doaj   +2 more sources