New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting. - Joaquín Torres-Sospedra; Darwin Quezada-Gaibor; Germán M. Mendoza-Silva; Jari Nurmi; Yevgeni Koucheryavy; Joaquín Huerta (ICL-GNSS, 2020)

RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering. - Lucie Klus; Darwin Quezada-Gaibor; Joaquín Torres-Sospedra; Elena Simona Lohan; Carlos Granell; Jari Nurmi (ICUMT, 2020)

Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices. - Darwin Quezada-Gaibor; Lucie Klus; Joaquín Torres-Sospedra; Elena Simona Lohan; Jari Nurmi; Joaquín Huerta (ICUMT, 2020)

Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting'. - Joaquín Torres-Sospedra; Darwin Quezada-Gaibor; Germán M. Mendoza-Silva; Jari Nurmi; Yevgeni Koucheryavy; Joaquín Huerta (Zenodo, 2020)

Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm. - Darwin Quezada-Gaibor; Joaquín Torres-Sospedra; Jari Nurmi; Yevgeni Koucheryavy; Joaquín Huerta (IPIN, 2021)

Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets. - Joaquín Torres-Sospedra; Ivo Silva; Lucie Klus; Darwin Quezada-Gaibor; Antonino Crivello; Paolo Barsocchi; Cristiano G. Pendão; Elena Simona Lohan; Jari Nurmi; Adriano J. C. Moreira (IPIN, 2021)

Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning. - Joaquín Torres-Sospedra; Fernando J. Aranda; Fernando J. Álvarez; Darwin Quezada-Gaibor; Ivo Silva; Cristiano G. Pendão; Adriano J. C. Moreira (VTC Spring, 2021)

A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. - Aleksandr Ometov; Viktoriia Shubina; Lucie Klus; Justyna Skibinska; Salwa Saafi; Pavel Pascacio; Laura Flueratoru; Darwin Quezada-Gaibor; Nadezhda Chukhno; Olga Chukhno; Asad Ali 008; Asma Channa; et al. (Comput. Networks, 2021)

Discovering location based services: A unified approach for heterogeneous indoor localization systems. - Francesco Furfari; Antonino Crivello; Paolo Baronti; Paolo Barsocchi; Michele Girolami; Filippo Palumbo; Darwin Quezada-Gaibor; Germán M. Mendoza-Silva; Joaquín Torres-Sospedra (Internet Things, 2021)

Towards Accelerated Localization Performance Across Indoor Positioning Datasets. - Lucie Klus; Darwin Quezada-Gaibor; Joaquín Torres-Sospedra; Elena Simona Lohan; Carlos Granell; Jari Nurmi (ICL-GNSS, 2022)

Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification. - Darwin Quezada-Gaibor; Joaquín Torres-Sospedra; Jari Nurmi; Yevgeni Koucheryavy; Joaquín Huerta (ICL-GNSS, 2022)

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; Yevgeni Koucheryavy; Joaquín Huerta (IPIN, 2022)

Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets. - Darwin Quezada-Gaibor; Lucie Klus; Joaquín Torres-Sospedra; Elena Simona Lohan; Jari Nurmi; Carlos Granell; Joaquín Huerta (MDM, 2022)

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios - A Systematic Review. - Darwin Quezada-Gaibor; Joaquín Torres-Sospedra; Jari Nurmi; Yevgeni Koucheryavy; Joaquín Huerta (Sensors, 2022)

Supplementary materials for "Towards Accelerated Localization Performance Across Indoor Positioning Datasets". - Lucie Klus; Darwin Quezada-Gaibor; Joaquín Torres-Sospedra (Zenodo, 2022)

Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting. - Joaquín Torres-Sospedra; Cristiano G. Pendão; Ivo Silva; Filipe Meneses; Darwin Quezada-Gaibor; Raúl Montoliu; Antonino Crivello; Paolo Barsocchi; Antoni Pérez-Navarro; Adriano J. C. Moreira (IPIN, 2023)

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios. - Darwin Quezada-Gaibor (2023)

Scalable and Efficient Clustering for Fingerprint-Based Positioning. - Joaquín Torres-Sospedra; Darwin Quezada-Gaibor; Jari Nurmi; Yevgeni Koucheryavy; Elena Simona Lohan; Joaquín Huerta (IEEE Internet Things J., 2023)

Supplementary Materials for ≪Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting≫. - Joaquín Torres-Sospedra; Cristiano G. Pendão; Ivo Silva; Filipe Meneses; Darwin Quezada-Gaibor; Raúl Montoliu; Antonino Crivello; Paolo Barsocchi; Antoni Pérez-Navarro; Adriano J. C. Moreira (Zenodo, 2023)

C2R: A Novel ANN Architecture for Boosting Indoor Positioning With Scarce Data. - Roman Klus; Jukka Talvitie; Joaquín Torres-Sospedra; Darwin Quezada-Gaibor; Sven Casteleyn; Danijela Cabric; Mikko Valkama (IEEE Internet Things J., 2024)