Murtadha D. Hssayeni

26 papers B 1C 1Journal 11Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Learning Approaches for EEG-Based Biometrics: A Systematic Review. IEEE Access Ali E. Albaiati, Muhammad Firdaus Akbar, Murtadha D. Hssayeni, Ashraf Khalil, Mohd Nadhir Ab Wahab, Sundus Sulaiman Weli, Enas A. Raheem
2024	J	`jnl`	Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. Murtadha D. Hssayeni, Behnaz Ghoraani
2024	—	`conf`	Detection of Zero-Day Attacks on IoT. SmartNets Shay Reardon, Murtadha D. Hssayeni, Imadeldin O. Mahgoub
2024	—	`conf`	Game-Theoretic Method for Optimal Initial Allocation of Honeypots for Enhanced Network Security. SmartNets Hamidreza Asefi-Ghamari, Murtadha D. Hssayeni, Imad Mahgoub
2022	—	`conf`	Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects. EMBC Shelly Davidashvilly, Murtadha D. Hssayeni, Christopher Chi, Joohi Jimenez-Shahed, Behnaz Ghoraani
2022	—	`conf`	Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model. EMBC Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani
2022	C	`conf`	ECG Fiducial Point Localization Using a Deep Learning Model. ICMLA Murtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale
2022	B	`conf`	Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition. SMC Jasmine Y. Chan, Teresa Wilcox, Murtadha D. Hssayeni, Behnaz Ghoraani
2021	J	`jnl`	Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning. Biomed. Signal Process. Control. Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin
2021	J	`jnl`	Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning. IEEE Access Murtadha D. Hssayeni, Behnaz Ghoraani
2021	J	`jnl`	The forecast of COVID-19 spread risk at the county level. J. Big Data Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani
2020	—	`conf`	Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. EMBC Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
2020	—	`conf`	Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network. EMBC Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2020	J	`jnl`	Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model. Data Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Dawood Salman, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani
2020	J	`jnl`	Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. IEEE J. Biomed. Health Informatics Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed
2020	—	`conf`	Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. EMBC Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani
2019	—	`conf`	Continuous Parkinsonian Tremor Estimation Using Motion Data. GlobalSIP Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2019	J	`jnl`	Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients. Entropy Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani
2019	J	`jnl`	Intracranial Hemorrhage Segmentation Using Deep Convolutional Model. CoRR Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Al-Ani, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani
2019	—	`conf`	Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III. BHI Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2019	J	`jnl`	Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements. Sensors Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2018	—	`conf`	Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors. EMBC Murtadha D. Hssayeni, Jamie L. Adams, Behnaz Ghoraani
2018	J	`jnl`	Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. CoRR Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, Behnaz Ghoraani
2017	—	`conf`	Distracted Driver Detection: Deep Learning vs Handcrafted Features. IMAWM Murtadha D. Hssayeni, Sagar Saxena, Raymond W. Ptucha, Andreas E. Savakis
2017	—	`conf`	Parkinson's disease medication state management using data fusion of wearable sensors. BHI Vignesh Ramji, Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani
2016	—	`conf`	Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors. EMBC Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani