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

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

Neural Network Fingerprinting and GNSS Data Fusion for Improved Localization in 5G. - Roman Klus; Jukka Talvitie; Mikko Valkama (ICL-GNSS, 2021)

Transfer Learning for Convolutional Indoor Positioning Systems. - Roman Klus; Lucie Klus; Jukka Talvitie; Jaakko Pihlajasalo; Joaquín Torres-Sospedra; Mikko Valkama (IPIN, 2021)

Machine Learning Based NLOS Radio Positioning in Beamforming Networks. - Roman Klus; Jukka Talvitie; Julia Vinogradova; Johan Torsner; Mikko Valkama (SPAWC, 2022)

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)

Deep Hypernetwork-based Robust Localization in Millimeter-Wave Networks. - Roman Klus; Jukka Talvitie; Benjamin W. Domae; Danijela Cabric; Mikko Valkama (PIMRC, 2024)

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)

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 Data and Software for "Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance". - Roman Klus; Jukka Talvitie; Julia Vinogradova; Gábor Fodor 001; Johan Torsner; Mikko Valkama (Zenodo, 2024)

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)

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)

Robust NLoS Localization in 5G mmWave Networks: Data-Based Methods and Performance. - Roman Klus; Jukka Talvitie; Julia Equi; Gábor Fodor 001; Johan Torsner; Mikko Valkama (IEEE Trans. Veh. Technol., 2025)

Supplementary Data and Software for "Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance". - Roman Klus; Jukka Talvitie; Julia Equi; Gábor Fodor 001; Johan Torsner; Mikko Valkama (Zenodo, 2025)