Tipo de publicación: journal-article

A review on the self and dual interactions between machine learning and optimisation

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities

Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification

Explaining time series classifiers through meaningful perturbation and optimisation

A Taxonomy of Traffic Forecasting Regression Problems from a Supervised Learning Perspective

Identifying bird species by their calls in Soundscapes

CzSL: Learning from citizen science, experts, and unlabelled data in astronomical image classification

A fusion spatial attention approach for few-shot learning

Generalising Stock Detection in Retail Cabinets with Minimal Data Using a DenseNet and Vision Transformer Ensemble

SEGAL time series classification — Stable explanations using a generative model and an adaptive weighting method for LIME