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2020 – today
- 2024
[j5]Glenn Fernandes
, Jiayi Zheng, Mahdi Pedram, Christopher Romano, Farzad Shahabi, Blaine Rothrock, Thomas Cohen, Helen Zhu, Tanmeet S. Butani, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa:
HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 101:1-101:48 (2024)- 2023
- [j4]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Mahdi Pedram, Gerald Schaefer, Diego Oliva:
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems. New Gener. Comput. 41(2): 225-242 (2023) - [c12]Soroush Shahi, Sougata Sen, Mahdi Pedram, Rawan Alharbi, Yang Gao, Aggelos K. Katsaggelos, Josiah D. Hester, Nabil Alshurafa:
Detecting Eating and Social Presence with All Day Wearable RGB-T. CHASE 2023: 68-79 - [c11]Glenn Fernandes, Helen Zhu, Mahdi Pedram, Jacob Schauer, Soroush Shahi, Christopher Romano, Darren Gergle, Nabil Alshurafa:
Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems? CHI Extended Abstracts 2023: 192:1-192:8 - [c10]Mahdi Pedram, Glenn Fernandes, Christopher Romano, Boyang Wei, Sougata Sen, Josiah D. Hester, Nabil Alshurafa:
Experience: Barriers and Opportunities of Wearables for Eating Research. CHI Extended Abstracts 2023: 383:1-383:8 - [i4]Josué Pagán, Ramin Fallahzadeh, Mahdi Pedram, José L. Risco-Martín, José Manuel Moya, Jisé Luis Ayala, Hassan Ghasemzadeh:
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. CoRR abs/2311.09238 (2023) - 2022
- [j3]Rawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen, Mahdi Pedram, Christopher Romano, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa:
SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 155:1-155:25 (2022) - [c9]Soroush Shahi, Mahdi Pedram, Glenn Fernandes, Nabil Alshurafa:
SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T. BSN 2022: 1-4 - [c8]Mahdi Pedram, Seyed Jalaleddin Mousavirad, Gerald Schaefer:
Training Neural Networks with Lévy Flight Distribution Algorithm. ICHSA 2022: 93-103 - 2021
- [j2]Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Seyed-Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh:
TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems. ACM Trans. Design Autom. Electr. Syst. 26(1): 5:1-5:31 (2021) - [c7]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
A population-based automatic clustering algorithm for image segmentation. GECCO Companion 2021: 1931-1936 - [c6]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. SMC 2021: 176-181 - [i3]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. CoRR abs/2109.09351 (2021)
2010 – 2019
- 2019
- [j1]Josué Pagán, Ramin Fallahzadeh, Mahdi Pedram, José L. Risco-Martín, José Manuel Moya, José L. Ayala, Hassan Ghasemzadeh:
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Trans. Mob. Comput. 18(3): 658-673 (2019) - [c5]Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh:
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. BSN 2019: 1-4 - [c4]Mahsan Rofouei, Mahdi Pedram, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh:
Resource-Efficient Computing in Wearable Systems. SMARTCOMP 2019: 150-155 - [i2]Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh:
Resource-Efficient Computing in Wearable Systems. CoRR abs/1907.03247 (2019) - [i1]Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh:
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. CoRR abs/1907.03250 (2019) - 2017
- [c3]Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh:
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract. IPSN 2017: 313-314 - 2016
- [c2]Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh:
SmartSock: A wearable platform for context-aware assessment of ankle edema. EMBC 2016: 6302-6306 - 2015
- [c1]Ramin Fallahzadeh, Mahdi Pedram, Ramyar Saeedi, Bahman Sadeghi, Michael K. Ong, Hassan Ghasemzadeh:
Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. PerCom Workshops 2015: 57-62
Coauthor Index
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