João C. Neves

ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices

2021

The recognition of unseen objects from a semantic representation or textual description, usually denoted as zero-shot learning, is more prone to be used in real-world scenarios when compared to traditional object recognition. Nevertheless, no work …

Model-driven development of heterogeneous quantum models for multi-vehicle route planning

2025 · Computer Science Research Notes

Quantum computing has the potential to significantly improve large-scale optimization, particularly in logistics.However, practical adoption remains limited due to fragmented hardware ecosystems and the complexity of quantum programming.We present MDE4QC, a model-driven engineering framework that …