Extract, Compress and Encode: LitNet an Efficient Autoencoder for Noisy Time-Series Data. - Mohamed-Ali Tnani; Paul Subarnaduti; Klaus Diepold (ICIT, 2022)

Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data. - Yuqicheng Zhu; Mohamed-Ali Tnani; Timo Jahnz; Klaus Diepold (ISM, 2022)

Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework. - Mohamed-Ali Tnani; Paul Subarnaduti; Klaus Diepold (Sensors, 2022)

Efficient Deep Feature Learning for Noisy Industrial Time-Series Data (Effizientes Deep Feature Learning für verrauschte industrielle Zeitreihendaten) - Mohamed-Ali Tnani (2024)