Comparison of feature learning methods for human activity recognition using wearable sensors F Li, K Shirahama, MA Nisar, L Köping, M Grzegorzek Sensors 18 (2), 679, 2018 | 308 | 2018 |
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 | 59 | 2020 |
Deep transfer learning for time series data based on sensor modality classification F Li, K Shirahama, MA Nisar, X Huang, M Grzegorzek Sensors 20 (15), 4271, 2020 | 57 | 2020 |
A comparative study of feature selection approaches for human activity recognition using multimodal sensory data F Amjad, MH Khan, MA Nisar, MS Farid, M Grzegorzek Sensors 21 (7), 2368, 2021 | 24 | 2021 |
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 | 22 | 2021 |
Rank pooling approach for wearable sensor-based ADLs recognition MA Nisar, K Shirahama, F Li, X Huang, M Grzegorzek Sensors 20 (12), 3463, 2020 | 21 | 2020 |
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 | 17 | 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 |
Transformer-based recognition of activities of daily living from wearable sensor data G Augustinov, MA Nisar, F Li, A Tabatabaei, M Grzegorzek, K Sohrabi, ... Proceedings of the 7th international workshop on sensor-based activity …, 2022 | 11 | 2022 |
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 |
A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data R Fatima, MH Khan, MA Nisar, R Doniec, MS Farid, M Grzegorzek Sensors 24 (1), 75, 2023 | 3 | 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 | 2 | 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 |
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 | 1 | 2023 |
Identification of Optimal Data Augmentation Techniques for Multimodal Time-Series Sensory Data: A Framework N Ashfaq, MH Khan, MA Nisar Information 15 (6), 343, 2024 | | 2024 |
Sensor-Based Human Activity Recognition for Assistive Health Technologies MA Nisar Logos Verlag Berlin GmbH, 2023 | | 2023 |
Systems and Soft Computing RJ Doniec, N Piaseczna, K Duraj, S Sieciński, MT Irshad, I Karpiel, ... | | |