| 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 | 484 | 2021 |
| The rise of wearable devices during the COVID-19 pandemic: A systematic review A Channa, N Popescu, J Skibinska, R Burget Sensors 21 (17), 5787, 2021 | 178 | 2021 |
| Comparison of spectral and spatial denoising techniques in the context of High Definition FT-IR imaging hyperspectral data P Koziol, MK Raczkowska, J Skibinska, S Urbaniak-Wasik, ... Scientific reports 8 (1), 14351, 2018 | 44 | 2018 |
| Asma Channa A Ometov, V Shubina, L Klus, J Skibińska, S Saafi, P Pascacio, ... Ekaterina Svertoka, Waleed Bin Qaim, Raúl Casanova-Marqués, Sylvia Holcer …, 2021 | 25 | 2021 |
| COVID-19 diagnosis at early stage based on smartwatches and machine learning techniques J Skibinska, R Burget, A Channa, N Popescu, Y Koucheryavy IEEE Access 9, 119476-119491, 2021 | 21 | 2021 |
| Bin A Ometov, V Shubina, L Klus, J Skibińska, S Saafi, P Pascacio, ... Casanova-Marqués, R., Holcer, S., Torres-Sospedra, J., Casteleyn, S …, 2021 | 15 | 2021 |
| Denoising influence on discrete frequency classification results for quantum cascade laser based infrared microscopy P Koziol, MK Raczkowska, J Skibinska, NJ McCollum, S Urbaniak-Wasik, ... Analytica Chimica Acta 1051, 24-31, 2019 | 14 | 2019 |
| Parkinson’s disease detection based on changes of emotions during speech J Skibińska, R Burget 2020 12th International Congress on Ultra Modern Telecommunications and …, 2020 | 13 | 2020 |
| Computerized analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease J Skibińska, J Hosek Heliyon 9 (11), 2023 | 11 | 2023 |
| & Lohan, ES (2021). 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), 10.1016, 0 | 9 | |
| Is it possible to distinguish covid-19 cases and influenza with wearable devices? analysis with machine learning J Skibinska, R Burget Journal of Advances in Information Technology 13 (3), 265-270, 2022 | 6 | 2022 |
| A survey on wearable technology: History, state-of-the-art and current challenges., 2021, 193 A Ometov, V Shubina, L Klus, J Skibińska, S Saafi, P Pascacio, ... DOI: https://doi. org/10.1016/j. comnet, 108074, 2021 | 5 | 2021 |
| The transferable methodologies of detection sleep disorders thanks to the actigraphy device for parkinson's disease detection J Skibinska, R Burget International Conference on Localization and GNSS, 2021 | 5 | 2021 |
| Wearable analytics and early diagnostic of covid-19 based on two cohorts J Skibinska, J Hosek, A Channa 2022 14th International Congress on Ultra Modern Telecommunications and …, 2022 | 1 | 2022 |
| Machine Learning-Aided Monitoring and Prediction of Respiratory and Neurodegenerative Diseases Using Wearables J Skibinska omakustanne, 2023 | | 2023 |
| Author Correction: Comparison of spectral and spatial denoising techniques in the context of High Definition FT-IR imaging hyperspectral data K Paulina, MK Raczkowska, S Justyna, UW Sławka, P Czesława, ... Scientific Reports (Nature Publisher Group) 10 (1), 2020 | | 2020 |
| Comparison of spectral and spatial denoising techniques in the context of High Definition FT-IR imaging hyperspectral data (vol 8, 14351, 2018) P Koziol, MK Raczkowska, J Skibinska, S Urbaniak-Wasik, ... SCIENTIFIC REPORTS 10 (1), 2020 | | 2020 |
| The application of deep learning techniques in the electroencephalogram (EEG) analysis J Skibińska, R Burget 2019 XXXV Finnish Union Radio Scientifique Internationale (URSI) Convention …, 2019 | | 2019 |
| Foreseeing Wearing-Off State in Parkinson's Disease Patients, a Multimodal Approach with the Usage of Machine Learning and Wearables J Skibińska, MZA Shah, A Channa, MSS Syed, ZS Syed, J Hosek Activity, Behavior, and Healthcare Computing, 286-299, 0 | | |
| A-WEAR E Svertoka, J Skibińska | | |
