| AI Approaches Towards Prechtl’s Assessment of General Movements: A Systematic Literature Review MT Irshad, MA Nisar, P Gouverneur, M Rapp, M Grzegorzek Sensors 20 (18), 5321, 2020 | 55 | 2020 |
| The symphony of team flow in virtual teams. Using artificial intelligence for its recognition and promotion C Peifer, A Pollak, O Flak, A Pyszka, MA Nisar, MT Irshad, M Grzegorzek, ... Frontiers in Psychology 12, 697093, 2021 | 19 | 2021 |
| 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 |
| Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data MT Irshad, F Li, MA Nisar, X Huang, M Buss, L Kloep, C Peifer, ... Computers in Biology and Medicine 166, 107489, 2023 | 3 | 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 |
| 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 |
| Exploring virtual team flow: A study on conditions and dynamics of team flow experiences in virtual team work L Kloep, AT Miecznik, O Flak, MT Irshad, K Piotr, B Kożusznik, A Pollak, ... OSF, 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 |
| Symmetric Projection Attractor Reconstruction Analysis As a Method for Assessment of The Quality of Seismocardiograms in Healthy Population S Sieciński, MT Irshad, MA Hasan, EJ Tkacz, PS Kostka, M Grzegorzek 45th Annual International Conference of the IEEE Engineering in Medicine and …, 2023 | | 2023 |
| A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors MA Nisar, K Shirahama, MT Irshad, X Huang, M Grzegorzek Sensors 23 (19), 8234, 2023 | | 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 | | 2023 |
| How do we flow together virtually? A survey on flow and team flow experience in virtual teams L Kloep, O Flak, MT Irshad, B Kożusznik, A Pollak, A Pyszka, K Piotr, ... OSF, 2023 | | 2023 |
| Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy Population S Siecinski, MT Irshad, MA Hasan, EJ Tkacz, PS Kostka, M Grzegorzek 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Introducing a non-invasive app for cardiovascular disease diagnosis support: a pilot study RJ Doniec, N Piaseczna, E Berepiki, MT Irshad, X Huang, S Sieciński, ... Telemedicine and eHealth 2023, 2023 | | 2023 |
| Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction S Sieciński, MT Irshad, MA Hasan, EJ Tkacz, M Grzegorzek | | 2023 |
Marcin GrzegorzekFull Professor at the University of LübeckVerified email at uni-luebeck.de
