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Informed Data Selection Strategies for Few-Shot Learning on Imbalanced Data
Alcoforado, Alexandre; Okamura, Lucas; Ferraz, Thomas; Campos Fama, Israel; Dias Bueno, Bárbara; Veloso, Bruno Miguel; Reali Costa, Anna HelenaAcquiring high-quality annotated data remains one of the most significant challenges in Natural Language Processing (NLP), especially for supervised learning approaches. In scenarios where pre-existing labeled data is unavailable, common solutions like crowdsourcing and zero-shot approaches often fall short, suffering from limitations such as the need for large datasets and a lack of guarantees regarding annota...
Combining novelty and popularity on personalised recommendations via user profi...
Reali Costa, Anna Helena
A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems
Reali Costa, Anna Helena
GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive ...
Reali Costa, Anna Helena
Evaluating classification and feature selection techniques for honeybee subspec...
Reali Costa, Anna Helena
Stochastic abstract policies: generalizing knowledge to improve reinforcement l...
Reali Costa, Anna Helena
Intelligent Decision-Making for Smart Home Energy Management
Reali Costa, Anna Helena
Heuristically-Accelerated Multiagent Reinforcement Learning
Reali Costa, Anna Helena
Descoberta automática de atributos salientes para obtenção de macro-ações
Reali Costa, Anna Helena