Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors. - Frédéric Li; Kimiaki Shirahama; Muhammad Adeel Nisar; Lukas Köping; Marcin Grzegorzek (Sensors, 2018)

AI Approaches towards Prechtl's Assessment of General Movements: A Systematic Literature Review. - Muhammad Tausif Irshad; Muhammad Adeel Nisar; Philip Gouverneur; Marion Rapp; Marcin Grzegorzek (Sensors, 2020)

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification. - Frédéric Li; Kimiaki Shirahama; Muhammad Adeel Nisar; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2020)

Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition. - Muhammad Adeel Nisar; Kimiaki Shirahama; Frédéric Li; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2020)

A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data. - Fatima Amjad; Muhammad Hassan Khan; Muhammad Adeel Nisar; Muhammad Shahid Farid; Marcin Grzegorzek (Sensors, 2021)

Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data. - Gabriela Augustinov; Muhammad Adeel Nisar; Frédéric Li; Seyed Amir Hossein Tabatabaei; Marcin Grzegorzek; Keywan Sohrabi; Sebastian J. F. Fudickar (iWOAR, 2022)

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. - Muhammad Tausif Irshad; Muhammad Adeel Nisar; Xinyu Huang 003; Jana Hartz; Olaf Flak; Frédéric Li; Philip Gouverneur; Artur Piet; Kerstin M. Oltmanns; Marcin Grzegorzek (Sensors, 2022)

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks. - Rafal Doniec; Justyna Konior; Szymon Siecinski; Artur Piet; Muhammad Tausif Irshad; Natalia Piaseczna; Md. Abid Hasan; Frédéric Li; Muhammad Adeel Nisar; Marcin Grzegorzek (Sensors, 2023)

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation. - Xinyu Huang 003; Kimiaki Shirahama; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Marcin Grzegorzek (Sensors, 2023)

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors. - Muhammad Adeel Nisar; Kimiaki Shirahama; Muhammad Tausif Irshad; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2023)

Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning. - Xinyu Huang 003; Franziska Schmelter; Muhammad Tausif Irshad; Artur Piet; Muhammad Adeel Nisar; Christian Sina; Marcin Grzegorzek (Comput. Biol. Medicine, 2023)

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data. - Muhammad Tausif Irshad; Frédéric Li; Muhammad Adeel Nisar; Xinyu Huang 003; Martje Buss; Leonie Kloep; Corinna Peifer; Barbara Kozusznik; Anita Pollak; Adrian Pyszka; Olaf Flak; Marcin Grzegorzek (Comput. Biol. Medicine, 2023)

A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data. - Rimsha Fatima; Muhammad Hassan Khan; Muhammad Adeel Nisar; Rafal Doniec; Muhammad Shahid Farid; Marcin Grzegorzek (Sensors, 2024)

Identification of Optimal Data Augmentation Techniques for Multimodal Time-Series Sensory Data: A Framework. - Nazish Ashfaq; Muhammad Hassan Khan; Muhammad Adeel Nisar (Inf., 2024)

HCMMA-Net: A Hybrid Convolutional Multi-Modal Attention Network for Human Activity Recognition in Smart Homes Using Wearable Sensor Data. - Nazish Ashfaq; Zeeshan Aziz; Muhammad Hassan Khan; Muhammad Adeel Nisar; Adnan Khalid (IEEE Access, 2025)

Machine learning models for wearable-based human activity recognition: A comparative study. - Gabriela Ciortuz; Hawzhin Hozhabr Pour; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Xinyu Huang 003; Sebastian J. F. Fudickar (Neurocomputing, 2025)