THE WEEK

Bridget Riley: Learning to See – an ‘invigorating and magical ensemble’

Now aged 94, Bridget Riley has been remarkably “consistent” over her long career, but is often misunderstood, said Lily Le Brun in The Observer. Back in the 1960s, her “bold, geometric, abstract” ...
IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
Frontiers

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
IEEE

An Ensemble Learning Model Considering Multiple Spatial Proximities and Its Application in the Study of Dust Storm Source Area Susceptibility on the Mongolian Plateau

Abstract: The Mongolian Plateau is one of the primary sources of dust storms globally, and these storms significantly impact the climate, ecology, and human health in East Asia and beyond. Accurately ...
Frontiers

Ensemble learning techniques reveals multidimensional EEG feature alterations in pediatric schizophrenia

Schizophrenia (SCZ) is a severe mental disorder that impairs brain function and daily life, while its early and objective diagnosis remains a major clinical challenge due to the reliance on subjective ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
Scientific Research Publishing

Singh, B., Kumar, R. and Singh, V.P. (2022) Reinforcement Learning in Robotic Applications: A Comprehensive Survey. Artificial Intelligence Review, 55, 945-990.

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...