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ORCIDSalar Jafarlou
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2020 – today
- 2024
[c6]Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani:
ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets. BSN 2024: 1-4- [i6]Seyed Amir Hossein Aqajari, Ziyu Wang, Ali Tazarv, Sina Labbaf, Salar Jafarlou, Brenda Nguyen, Nikil D. Dutt, Marco Levorato, Amir M. Rahmani:
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach. CoRR abs/2407.08215 (2024) - [i5]Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani:
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets. CoRR abs/2408.10228 (2024) - [i4]Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani:
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. CoRR abs/2410.00020 (2024) - 2023
- [c5]Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani:
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. BSN 2023: 1-4 - 2022
- [j2]Amir M. Rahmani, Jocelyn Lai
, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli:
Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being. Frontiers Digit. Health 4 (2022) - [c4]Salar Jafarlou, Amir M. Rahmani, Nikil D. Dutt, Sanaz Rahimi Moosavi:
ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. EMBC 2022: 1366-1370 - [i3]Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh C. Jain, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani:
Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020. CoRR abs/2201.11230 (2022) - 2021
- [c3]Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Carolyn E. Jones, Miranda M. Lim, Hung Cao:
Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram. EMBC 2021: 6134-6137 - 2020
- [j1]Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil D. Dutt, Amir M. Rahmani, Hung Cao:
Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice. Sensors 20(7): 2027 (2020) - [c2]Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao:
Classification of Electroencephalogram in a Mouse Model of Traumatic Brain Injury Using Machine Learning Approaches*. EMBC 2020: 3335-3338 - [i2]Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli:
Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being. CoRR abs/2012.09131 (2020)
2010 – 2019
- 2019
- [c1]Salar Jafarlou, Soheil Khorram, Vinay Kothapally, John H. L. Hansen:
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition. ASRU 2019: 252-259 - [i1]Salar Jafarlou, Soheil Khorram, Vinay Kothapally, John H. L. Hansen:
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition. CoRR abs/1910.07047 (2019)
Coauthor Index
aka: Amir M. Rahmani
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