Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goods. - Mohammad Khazaei; Lina Stankovic; Vladimir Stankovic 001 (NILM@SenSys, 2020)

Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task. - Khadijeh Raeisi; Maryam Mohebbi; Mohammad Khazaei; Masoud Seraji; Ali Yoonessi (Comput. Biol. Medicine, 2020)

Deep-Based Conditional Probability Density Function Forecasting of Residential Loads. - Mousa Afrasiabi; Mohammad Mohammadi 001; Mohammad Rastegar; Lina Stankovic; Shahabodin Afrasiabi; Mohammad Khazaei (IEEE Trans. Smart Grid, 2020)

A graph convolutional neural network for the automated detection of seizures in the neonatal EEG. - Khadijeh Raeisi; Mohammad Khazaei; Pierpaolo Croce; Gabriella Tamburro; Silvia Comani; Filippo Zappasodi (Comput. Methods Programs Biomed., 2022)

A Class-Imbalance Aware and Explainable Spatio-Temporal Graph Attention Network for Neonatal Seizure Detection. - Khadijeh Raeisi; Mohammad Khazaei; Gabriella Tamburro; Pierpaolo Croce; Silvia Comani; Filippo Zappasodi (Int. J. Neural Syst., 2023)

Neonatal cortical activity organizes into transient network states that are affected by vigilance states and brain injury. - Mohammad Khazaei; Khadijeh Raeisi; Sampsa Vanhatalo; Filippo Zappasodi; Silvia Comani; Anton Tokariev (NeuroImage, 2023)

An Analytical Approach for Naturalistic Cooperative and Competitive EEG-Hyperscanning Data: A Proof-of-Concept Study. - Gabriella Tamburro; Ricardo Bruña; Patrique Fiedler; Antonio De Fano; Khadijeh Raeisi; Mohammad Khazaei; Filippo Zappasodi; Silvia Comani (Sensors, 2024)