Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring. - Hafsa Bousbiat; Christoph Klemenjak; Gerhard Leitner; Wilfried Elmenreich (I2MTC, 2020)

Exploring Time Series Imaging for Load Disaggregation. - Hafsa Bousbiat; Christoph Klemenjak; Wilfried Elmenreich (BuildSys, 2020)

UNet-NILM: A Deep Neural Network for Multi-tasks Appliances State Detection and Power Estimation in NILM. - Anthony Faustine; Lucas Pereira; Hafsa Bousbiat; Shridhar Kulkarni (NILM@SenSys, 2020)

Neural NILM Learning Paradigms: From Centralised to Decentralised Learning. - Hafsa Bousbiat; Christoph Klemenjak; Yassine Himeur; Wilfried Elmenreich; Abbes Amira; Wathiq Mansoor; Shadi Atalla (ICSPIS, 2022)

Ageing Safely in the Digital Era: A New Unobtrusive Activity Monitoring Framework Leveraging on Daily Interactions with Hand-Operated Appliances. - Hafsa Bousbiat; Gerhard Leitner; Wilfried Elmenreich (Sensors, 2022)

On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks. - Hafsa Bousbiat; Yassine Himeur; Abbes Amira; Wathiq Mansoor (ICSPIS, 2023)

Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives. - Hafsa Bousbiat; Roumaysa Bousselidj; Yassine Himeur; Abbes Amira; Faycal Bensaali; Fodil Fadli; Wathiq Mansoor; Wilfried Elmenreich (CoRR, 2023)

Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters, and Modular Pipelines. - Hafsa Bousbiat; Anthony Faustine; Christoph Klemenjak; Lucas Pereira; Wilfried Elmenreich (IEEE Trans. Ind. Informatics, 2023)