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)

Effects of Time-Series Data Pre-processing on the Transformer-based Classification of Activities from Smart Glasses. - Gabriela Ciortuz; Marcin Grzegorzek; Sebastian J. F. Fudickar (iWOAR, 2023)

Evaluating Movement and Device-Specific DeepConvLSTM Performance in Wearable-Based Human Activity Recognition. - Gabriela Ciortuz; Hawzhin Hozhabr Pour; Sebastian J. F. Fudickar (BIOSTEC (2), 2024)

Comparison of Deep Learning and Machine Learning Approaches for the Recognition of Dynamic Activities of Daily Living. - Cassandra Krause; Lena Harkämper; Gabriela Ciortuz; Sebastian J. F. Fudickar (iWOAR, 2024)

Performance Analysis of a Data Stream Processing System for Online Activity Classification via Wearable Sensor Data. - Hawzhin Hozhabr Pour; Gabriela Ciortuz; André Lüers; Sebastian J. F. Fudickar (BIOSTEC (2): HEALTHINF, 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)

Reusing data from HL7 CDA-based shared EHR systems for clinical trial conduct: a method for analyzing feasibility. - Georg Duftschmid; Florian Katsch; Gabriela Ciortuz; Dipak Kalra; Christoph Rinner (BMC Medical Informatics Decis. Mak., 2025)