A Transparent Hybrid Machine Learning and Explainability Approach for Classifying Environmental Attitudes
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3626005
Abstract: Nowadays, the performance of machine learning (ML) models in data-driven decision-making processes largely depends on the quality of the data and the selection of informative features. In high-dimensional datasets, the presence of redundant or noisy… read more here.
Keywords: explainability; environmental attitudes; machine learning; classifying environmental ... See more keywords
Classifying environmental features from local observations of emergent swarm behavior
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2020.1003129
Abstract: Robots in a swarm are programmed with individual behaviors but then interactions with the environment and other robots produce more complex, emergent swarm behaviors. One discriminating feature of the emergent behavior is the local distribution… read more here.
Keywords: emergent swarm; local observations; environmental features; environment ... See more keywords