| A survey on wearable technology: History, state-of-the-art and current challenges A Ometov, V Shubina, L Klus, J Skibińska, S Saafi, P Pascacio, ... Computer Networks 193, 108074, 2021 | 317* | 2021 |
| Deep learning based localization and HO optimization in 5G NR networks R Klus, L Klus, D Solomitckii, M Valkama, J Talvitie 2020 International Conference on Localization and GNSS (ICL-GNSS), 1-6, 2020 | 18 | 2020 |
| Rss fingerprinting dataset size reduction using feature-wise adaptive k-means clustering L Klus, D Quezada-Gaibor, J Torres-Sospedra, ES Lohan, C Granell, ... 2020 12th International Congress on Ultra Modern Telecommunications and …, 2020 | 17 | 2020 |
| Transfer learning for convolutional indoor positioning systems R Klus, L Klus, J Talvitie, J Pihlajasalo, J Torres-Sospedra, M Valkama 2021 International Conference on Indoor Positioning and Indoor Navigation …, 2021 | 12 | 2021 |
| Towards ubiquitous indoor positioning: Comparing systems across heterogeneous datasets J Torres-Sospedra, I Silva, L Klus, D Quezada-Gaibor, A Crivello, ... 2021 International Conference on Indoor Positioning and Indoor Navigation …, 2021 | 11 | 2021 |
| Direct lightweight temporal compression for wearable sensor data L Klus, R Klus, ES Lohan, C Granell, J Talvitie, M Valkama, J Nurmi IEEE Sensors Letters 5 (2), 1-4, 2021 | 10 | 2021 |
| Data cleansing for indoor positioning Wi-Fi fingerprinting datasets D Quezada-Gaibor, L Klus, J Torres-Sospedra, ES Lohan, J Nurmi, ... 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 349-354, 2022 | 7 | 2022 |
| Crowdsourcing solutions for data gathering from wearables L Klus, ES Lohan, C Granell, J Nurmi Proceedings of XXXV Finnish URSI Convention on Radio Science, 2019 | 7 | 2019 |
| Deep learning-based cell-level and beam-level mobility management system R Klus, L Klus, D Solomitckii, J Talvitie, M Valkama Sensors 20 (24), 7124, 2020 | 6 | 2020 |
| Improving dbscan for indoor positioning using wi-fi radio maps in wearable and iot devices D Quezada-Gaibor, L Klus, J Torres-Sospedra, ES Lohan, J Nurmi, ... 2020 12th International Congress on Ultra Modern Telecommunications and …, 2020 | 5 | 2020 |
| Lossy Compression Methods for Performance-Restricted Wearable Devices L Klus, ES Lohan, C Granell, J Nurmi | 5* | |
| Towards accelerated localization performance across indoor positioning datasets L Klus, D Quezada-Gaibor, J Torres-Sospedra, ES Lohan, C Granell, ... 2022 International Conference on Localization and GNSS (ICL-GNSS), 1-7, 2022 | 3 | 2022 |
| Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive D Quezada-Gaibor, L Klus, R Klus, ES Lohan, J Nurmi, M Valkama, ... IEEE Journal of Indoor and Seamless Positioning and Navigation, 2023 | | 2023 |
| EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets L Klus, R Klus, J Torres-Sospedra, ES Lohan, C Granell, J Nurmi IEEE Transactions on Mobile Computing, 2023 | | 2023 |
| From Compression of Wearable-based Data to Effortless Indoor Positioning L Klus Omakustanne/Self-published, 2023 | | 2023 |
| TUJI1 Dataset: Multi-Device Dataset for Indoor Localization with High Measurement Density L Klus, R Klus, ES Lohan, J Nurmi, C Granell Canut, M Valkama, J Talvitie, ... Available at SSRN 4456117, 0 | | |
| CONSUMER AWARENESS OF PRIVACY AS-PECTS IN AR MOBILE APPLICATIONS L Klus, R Klus, C Maguire Emerging Technology Adoption and Use, 38, 0 | | |
