312 citations · 527 across the 37 of their papers we have counts for
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eess.SP2022★ 23 cited
SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning
Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi +2
Indoor Positioning based on Machine Learning has drawn increasing attention both in the academy and the industry as meaningful information from the reference data can be extracted.…
eess.SP2022★ 8 cited
Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification
Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi +2
Machine learning models have become an essential tool in current indoor positioning solutions, given their high capabilities to extract meaningful information from the environment.…