| Biomedical data acquisition and processing to recognize emotions for affective learning A Grünewald, F Li, H Kampling, D Krönert, J Pöhler, J Littau, K Schnieber, ... 2018 IEEE 18th international conference on bioinformatics and bioengineering …, 2018 | 16 | 2018 |
| SenseHunger: Machine learning approach to hunger detection using wearable sensors MT Irshad, MA Nisar, X Huang, J Hartz, O Flak, F Li, P Gouverneur, A Piet, ... Sensors 22 (20), 7711, 2022 | 15 | 2022 |
| Sleep stage classification in children using self-attention and Gaussian noise data augmentation X Huang, K Shirahama, MT Irshad, MA Nisar, A Piet, M Grzegorzek Sensors 23 (7), 3446, 2023 | 13 | 2023 |
| Sensor-based classification of primary and secondary car driver activities using convolutional neural networks R Doniec, J Konior, S Sieciński, A Piet, MT Irshad, N Piaseczna, ... Sensors 23 (12), 5551, 2023 | 7 | 2023 |
| Sensor-based detection of food hypersensitivity using machine learning L Jablonski, T Jensen, GM Ahlemann, X Huang, VV Tetzlaff-Lelleck, ... Proceedings of the 8th international Workshop on Sensor-Based Activity …, 2023 | 2 | 2023 |
| The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques RJ Doniec, N Piaseczna, K Duraj, S Sieciński, MT Irshad, I Karpiel, ... Systems and Soft Computing 6, 200078, 2024 | 1 | 2024 |
| Non-Invasive Wearable Devices for Monitoring Vital Signs in Patients with Type 2 Diabetes Mellitus: A Systematic Review A Piet, L Jablonski, JI Daniel Onwuchekwa, S Unkel, C Weber, ... Bioengineering 10 (11), 1321, 2023 | 1 | 2023 |
| Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning X Huang, F Schmelter, MT Irshad, A Piet, MA Nisar, C Sina, M Grzegorzek Computers in Biology and Medicine 166, 107501, 2023 | 1 | 2023 |
| Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments R Doniec, EO Berepiki, N Piaseczna, S Sieciński, A Piet, MT Irshad, ... Applied Sciences 14 (3), 1320, 2024 | | 2024 |
| Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition. MA Hasan, F Li, A Piet, P Gouverneur, MT Irshad, M Grzegorzek Proceedings of the 8th international Workshop on Sensor-Based Activity …, 2023 | | 2023 |
| From Data to Insight: Predicting Interstitial Glucose in Healthy Cohort with Non-invasive Sensor Technology and Machine Learning X Huang, F Schmelter, C Seitzer, L Martensen, H Otzen, A Piet, O Witt, ... | | 2023 |
| Systems and Soft Computing RJ Doniec, N Piaseczna, K Duraj, S Sieciński, MT Irshad, I Karpiel, ... | | |
Marcin GrzegorzekFull Professor at the University of LübeckVerified email at uni-luebeck.de
