Deep Learning Based Localization and HO Optimization in 5G NR Networks. - Roman Klus; Lucie Klus; Dmitrii Solomitckii; Mikko Valkama; Jukka Talvitie (ICL-GNSS, 2020)

Lossy Compression Methods for Performance-Restricted Wearable Devices. - Lucie Klus; Elena Simona Lohan; Carlos Granell; Jari Nurmi (ICL-GNSS (Work in Progress), 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)

Deep Learning-Based Cell-Level and Beam-Level Mobility Management System. - Roman Klus; Lucie Klus; Dmitrii Solomitckii; Jukka Talvitie; Mikko Valkama (Sensors, 2020)

Transfer Learning for Convolutional Indoor Positioning Systems. - Roman Klus; Lucie Klus; Jukka Talvitie; Jaakko Pihlajasalo; Joaquín Torres-Sospedra; Mikko Valkama (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)

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)

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)

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)

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

From Compression of Wearable-based Data to Effortless Indoor Positioning. - Lucie Klus (2023)

Supplementary materials for "TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density". - Lucie Klus; Roman Klus; Elena Simona Lohan; Jari Nurmi; Carlos Granell-Canut; Mikko Valkama; Jukka Talvitie; Sven Casteleyn; Joaquín Torres-Sospedra (Zenodo, 2023)

Supplementary materials for "EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets". - Lucie Klus; Roman Klus; Joaquín Torres-Sospedra; Elena Simona Lohan; Jari Nurmi (Zenodo, 2023)

Enabling Dynamic Indoor Localization by Employing Intersection over Union as a Metric. - Lucie Klus; Roman Klus; Joaquín Torres-Sospedra; Elena Simona Lohan; Ivo Silva; Cristiano G. Pendão; Mikko Valkama (VTC Fall, 2024)

Employing Signal Statistics for Universal Fingerprinting Solution. - Lucie Klus; Elena Simona Lohan; Mikko Valkama (VTC Fall, 2024)

EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets. - Lucie Klus; Roman Klus; Joaquín Torres-Sospedra; Elena Simona Lohan; Carlos Granell; Jari Nurmi (IEEE Trans. Mob. Comput., 2024)

Supplementary material for "Enabling Dynamic Indoor Localization by Employing Intersection over Union as a Metric". - Lucie Klus; Roman Klus; Joaquín Torres-Sospedra; Elena Simona Lohan; Ivo Silva; Cristiano G. Pendão; Mikko Valkama (Zenodo, 2025)