| 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 | 24 | 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 | 21 | 2023 |
| 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 |
| 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 | 11 | 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 | 10 | 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 | 6 | 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 | 5 | 2023 |
| 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 | 4 | 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 | 3 | 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, ... | 3 | 2023 |
| ParkProReakt-evaluation of a proactive approach to health care in parkinson’s disease: a study protocol for a randomised controlled trial M van Munster, J Stuempel, AJ Pedrosa, K Niemand, I Wellach, D Becker, ... medRxiv, 2024.11. 29.24318185, 2024 | 1 | 2024 |
| Predicting executive functioning from walking features in Parkinson’s disease using machine learning A Piet, J Geritz, P Garcia, M Irsfeld, F Li, X Huang, MT Irshad, J Welzel, ... Scientific Reports 14 (1), 29522, 2024 | 1 | 2024 |
| Mixed-methods process evaluation of a proactive approach to healthcare in Parkinson’s disease—ParkProReakt: a protocol of a hybrid efficacy-implementation study N Altschuck, M van Munster, J Stümpel, DJ Pedrosa, I Wellach, ... BMJ Neurology Open 6 (2), e000966, 2024 | | 2024 |
| From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors N Glombiewski, Z Boukhers, C Beilschmidt, J Drönner, M Mattig, A Piet, ... arXiv preprint arXiv:2412.04969, 2024 | | 2024 |
| Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study X Huang, F Schmelter, A Uhlig, MT Irshad, MA Nisar, A Piet, L Jablonski, ... Intelligent Medicine 4 (04), 226-238, 2024 | | 2024 |
| 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 |
| Systems and Soft Computing RJ Doniec, N Piaseczna, K Duraj, S Sieciński, MT Irshad, I Karpiel, ... | | |
Marcin GrzegorzekGerman Research Center for Artificial Intelligence (DFKI GmbH) | University of LuebeckEmail yang diverifikasi di dfki.de