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ORCIDHassan Ghasemzadeh 0001
Person information
- affiliation: Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA
- affiliation: University of California, Los Angeles, Wireless Health Institute, CA, USA
- affiliation: San Diego State University, Biological & Medical Informatics Research Center, CA, USA
- affiliation: Gary and Mary West Wireless Health Institute, La Jolla, CA, USA
- affiliation (PhD 2010): University of Texas at Dallas, Department of Electrical Engineering, Richardson, TX, USA
Other persons with the same name
- Hassan Ghasemzadeh Mohammadi (aka: Hassan Ghasemzadeh 0002) — Paderborn University, Department of Computer Science, Germany (and 2 more)
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2020 – today
- 2024
[j46]Asiful Arefeen
, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh:
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. ACM Trans. Comput. Heal. 5(1): 1:1-1:19 (2024)- [j45]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective. ACM Trans. Embed. Comput. Syst. 23(2): 20:1-20:31 (2024) - [i28]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Minimum-Cost Sensor Channel Selection For Wearable Computing. CoRR abs/2402.00875 (2024) - [i27]Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh:
CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments. CoRR abs/2410.03211 (2024) - [i26]Abdullah Mamun, Lawrence D. Devoe, Mark I. Evans, David W. Britt, Judith Klein-Seetharaman, Hassan Ghasemzadeh:
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health. CoRR abs/2410.09635 (2024) - [i25]Abdullah Mamun, Krista S. Leonard, Megan E. Petrov, Matthew P. Buman, Hassan Ghasemzadeh:
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions. CoRR abs/2410.09643 (2024) - [i24]Shovito Barua Soumma, Kartik Mangipudi, Daniel Peterson, Shyamal Mehta, Hassan Ghasemzadeh:
Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning. CoRR abs/2410.20715 (2024) - [i23]Shovito Barua Soumma, Kartik Mangipudi, Daniel Peterson, Shyamal Mehta, Hassan Ghasemzadeh:
Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease. CoRR abs/2410.21326 (2024) - 2023
- [j44]Oliver Amft, Hassan Ghasemzadeh:
Pandemic Preparedness With Pervasive Computing. IEEE Pervasive Comput. 22(4): 4-6 (2023) - [j43]Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition. Sensors 23(14): 6337 (2023) - [j42]Ramesh Kumar Sah, Michael J. Cleveland, Hassan Ghasemzadeh:
Stress Monitoring in Free-Living Environments. IEEE J. Biomed. Health Informatics 27(12): 5699-5709 (2023) - [j41]Ramin Fallahzadeh, Zhila Esna Ashari, Parastoo Alinia, Hassan Ghasemzadeh:
Personalized Activity Recognition Using Partially Available Target Data. IEEE Trans. Mob. Comput. 22(1): 374-388 (2023) - [c96]Asiful Arefeen, Hassan Ghasemzadeh:
GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions. BHI 2023: 1-5 - [c95]Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh:
Personalized Modeling and Detection of Moments of Cannabis Use in Free-Living Environments. BSN 2023: 1-4 - [c94]Abdullah Mamun, Chia-Cheng Kuo, David W. Britt, Lawrence D. Devoe, Mark I. Evans, Hassan Ghasemzadeh, Judith Klein-Seetharaman:
Neonatal Risk Modeling and Prediction. BSN 2023: 1-4 - [c93]Prisha Shroff, Asiful Arefeen, Hassan Ghasemzadeh:
GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection. BSN 2023: 1-4 - [c92]Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Preum:
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. ICHI 2023: 601-609 - [i22]Parker Seegmiller, Joseph Gatto, Abdullah Mamun, Hassan Ghasemzadeh, Diane J. Cook, John A. Stankovic, Sarah Masud Preum:
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. CoRR abs/2301.07051 (2023) - [i21]Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Masud Preum:
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. CoRR abs/2303.09366 (2023) - [i20]Asiful Arefeen, Hassan Ghasemzadeh:
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations. CoRR abs/2310.01684 (2023) - [i19]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
- [j40]Zhila Esna Ashari, Naomi Chaytor, Diane J. Cook, Hassan Ghasemzadeh:
Memory-Aware Active Learning in Mobile Sensing Systems. IEEE Trans. Mob. Comput. 21(1): 181-195 (2022) - [c91]Asiful Arefeen, Samantha Fessler, Carol Johnston, Hassan Ghasemzadeh:
Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning. BSN 2022: 1-4 - [c90]Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh:
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. BSN 2022: 1-4 - [c89]Ramesh Kumar Sah, Michael McDonell, Patricia Pendry, Sara Parent, Hassan Ghasemzadeh, Michael J. Cleveland:
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting. BSN 2022: 1-4 - [c88]Sai Vaibhav Polisetti Venkata, Shubhankar Sabat, Chinmay Anand Deshpande, Asiful Arefeen, Daniel Peterson, Hassan Ghasemzadeh:
On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts. BSN 2022: 1-4 - [c87]Ryan Holder, Ramesh Kumar Sah, Michael Cleveland, Hassan Ghasemzadeh:
Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data. CCNC 2022: 557-562 - [c86]Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh:
Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. CHASE 2022: 91-98 - [c85]Parastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, Asiful Arefeen, Hassan Ghasemzadeh:
Boosting Lying Posture Classification with Transfer Learning. EMBC 2022: 109-114 - [c84]Ramesh Kumar Sah, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Continual Learning for Activity Recognition. EMBC 2022: 2416-2420 - [c83]Abdullah Mamun, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments. EMBC 2022: 2442-2446 - [c82]Ramesh Kumar Sah, Michael J. Cleveland, Assal Habibi, Hassan Ghasemzadeh:
Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification. EMBC 2022: 4658-4663 - [i18]Ramesh Kumar Sah, Michael McDonell, Patricia Pendry, Sara Parent, Hassan Ghasemzadeh, Michael J. Cleveland:
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting. CoRR abs/2206.14568 (2022) - 2021
- [j39]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) - [c81]Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
CL-Gym: Full-Featured PyTorch Library for Continual Learning. CVPR Workshops 2021: 3621-3627 - [c80]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh:
Linear Mode Connectivity in Multitask and Continual Learning. ICLR 2021 - [c79]Bingnan Zhou, Farnaz Mohammadi, Jung S. Lim, Negin Forouzesh, Hassan Ghasemzadeh, Navid Amini:
Analysis of Macular Thickness Deviation Maps for Diagnosis of Glaucoma. ISVC (2) 2021: 53-64 - [i17]Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Hamed Tabkhi:
Single Run Action Detector over Video Stream - A Privacy Preserving Approach. CoRR abs/2102.03391 (2021) - [i16]Asiful Arefeen, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh:
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. CoRR abs/2107.00693 (2021) - [i15]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Stress Classification and Personalization: Getting the most out of the least. CoRR abs/2107.05666 (2021) - 2020
- [j38]Parastoo Alinia, Ali Samadani, Mladen Milosevic, Hassan Ghasemzadeh, Saman Parvaneh:
Pervasive Lying Posture Tracking. Sensors 20(20): 5953 (2020) - [j37]Ayca Aygun, Hassan Ghasemzadeh, Roozbeh Jafari:
Robust Interbeat Interval and Heart Rate Variability Estimation Method From Various Morphological Features Using Wearable Sensors. IEEE J. Biomed. Health Informatics 24(8): 2238-2250 (2020) - [j36]Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh:
A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems. IEEE Trans. Sustain. Comput. 5(1): 1-12 (2020) - [c78]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant. AAAI 2020: 5191-5198 - [c77]Ramesh Kumar Sah, Hassan Ghasemzadeh, Assal Habibi, Michael McDonell, Patricia Pendry, Michael Cleveland:
Poster: Mobile Health for Alcohol Recovery and Relapse Prevention. CHASE 2020: 18-19 - [c76]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. CVPR Workshops 2020: 945-951 - [c75]Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems. IJCAI 2020: 3422-3429 - [c74]Navid Amini, Jung S. Lim, Farnaz Mohammadi, Clinton Thodos, Benjamin Braun, Hassan Ghasemzadeh, Melissa W. Chun, Kouros Nouri-Mahdavi:
Design and evaluation of a wearable assistive technology for hemianopic stroke patients. ISWC 2020: 7-11 - [c73]Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh:
Proximity-based active learning for eating moment recognition in wearable systems. WearSys@MobiSys 2020: 7-12 - [c72]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh:
Understanding the Role of Training Regimes in Continual Learning. NeurIPS 2020 - [i14]Parastoo Alinia, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition. CoRR abs/2003.07415 (2020) - [i13]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Adversarial Transferability in Wearable Sensor Systems. CoRR abs/2003.07982 (2020) - [i12]Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh:
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition. CoRR abs/2003.13098 (2020) - [i11]Niloofar Hezarjaribi, Zhila Esna Ashari, James F. Frenzel, Hassan Ghasemzadeh, Saied Hemati:
Personality Assessment from Text for Machine Commonsense Reasoning. CoRR abs/2004.09275 (2020) - [i10]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. CoRR abs/2004.11545 (2020) - [i9]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh:
Understanding the Role of Training Regimes in Continual Learning. CoRR abs/2006.06958 (2020) - [i8]Parastoo Alinia, Ali Samadani, Mladen Milosevic, Hassan Ghasemzadeh, Saman Parvaneh:
Pervasive Lying Posture Tracking. CoRR abs/2006.10931 (2020) - [i7]Yuchao Ma, Andrew T. Campbell, Diane J. Cook, John C. Lach, Shwetak N. Patel, Thomas Ploetz, Majid Sarrafzadeh, Donna Spruijt-Metz, Hassan Ghasemzadeh:
Transfer Learning for Activity Recognition in Mobile Health. CoRR abs/2007.06062 (2020) - [i6]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh:
Linear Mode Connectivity in Multitask and Continual Learning. CoRR abs/2010.04495 (2020)
2010 – 2019
- 2019
- [j35]Giancarlo Fortino, Hassan Ghasemzadeh, Raffaele Gravina, Peter X. Liu, Carmen C. Y. Poon, Zhelong Wang:
Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications. Inf. Fusion 45: 150-152 (2019) - [j34]Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Big vs little core for energy-efficient Hadoop computing. J. Parallel Distributed Comput. 129: 110-124 (2019) - [j33]Niloofar Hezarjaribi, Sepideh Mazrouee, Saied Hemati, Naomi Chaytor, Martine Perrigue, Hassan Ghasemzadeh:
Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. ACM Trans. Interact. Intell. Syst. 9(4): 23:1-23:24 (2019) - [j32]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) - [j31]Seyed Ali Rokni, Hassan Ghasemzadeh:
Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors. ACM Trans. Design Autom. Electr. Syst. 24(4): 39:1-39:27 (2019) - [c71]Yuchao Ma, Hassan Ghasemzadeh:
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. AAAI 2019: 4520-4527 - [c70]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 - [c69]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Adar: Adversarial Activity Recognition in Wearables. ICCAD 2019: 1-8 - [c68]Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. ICPP 2019: 7:1-7:11 - [c67]Zhila Esna Ashari, Hassan Ghasemzadeh:
Mindful Active Learning. IJCAI 2019: 2265-2271 - [c66]Mahsan Rofouei, Mahdi Pedram, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh:
Resource-Efficient Computing in Wearable Systems. SMARTCOMP 2019: 150-155 - [i5]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. CoRR abs/1902.03393 (2019) - [i4]Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh:
Resource-Efficient Computing in Wearable Systems. CoRR abs/1907.03247 (2019) - [i3]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) - [i2]Zhila Esna Ashari, Hassan Ghasemzadeh:
Mindful Active Learning. CoRR abs/1907.12003 (2019) - 2018
- [j30]Ladislau Matekovits, Giancarlo Fortino, Zhelong Wang, Hassan Ghasemzadeh, Valeria Loscrì, Ildiko Peter, Matti Hämäläinen:
IEEE Access Special Section Editorial: Body Area Networks. IEEE Access 6: 30990-30995 (2018) - [j29]Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Energy-efficient acceleration of MapReduce applications using FPGAs. J. Parallel Distributed Comput. 119: 1-17 (2018) - [j28]Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh, Chris Cain:
Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems. Sustain. Comput. Informatics Syst. 18: 54-65 (2018) - [j27]Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh:
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data. IEEE J. Biomed. Health Informatics 22(1): 252-264 (2018) - [j26]Seyed Ali Rokni, Hassan Ghasemzadeh:
Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views. IEEE Trans. Mob. Comput. 17(8): 1764-1777 (2018) - [j25]Ramin Fallahzadeh, Hassan Ghasemzadeh:
Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach. ACM Trans. Design Autom. Electr. Syst. 23(5): 67:1-67:23 (2018) - [c65]Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh:
Personalized Human Activity Recognition Using Convolutional Neural Networks. AAAI 2018: 8143-8144 - [c64]Yuchao Ma, Samaneh Aminikhanghahi, Shane Wilhelm, Wesley Daniel Thorsen, Evan Conley Coleman, Hassan Ghasemzadeh:
Toward visual field assessment using head-worn sensing devices. BSN 2018: 118-121 - [c63]Niloofar Hezarjaribi, Rabijit Dutta, Tao Xing, Gordon K. Murdoch, Sepideh Mazrouee, Bobak J. Mortazavi, Hassan Ghasemzadeh:
Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms. EMBC 2018: 1160-1163 - [c62]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. FCCM 2018: 221 - [c61]Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh:
A Dynamic Programming Technique for Energy-Efficient Multicore Systems. IGSC 2018: 1-6 - [c60]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. SAMOS 2018: 89-96 - [i1]Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh:
Personalized Human Activity Recognition Using Convolutional Neural Networks. CoRR abs/1801.08252 (2018) - 2017
- [j24]Raffaele Gravina, Parastoo Alinia, Hassan Ghasemzadeh, Giancarlo Fortino:
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. Inf. Fusion 35: 68-80 (2017) - [j23]Ramin Fallahzadeh, Yuchao Ma, Hassan Ghasemzadeh:
Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment. IEEE Trans. Mob. Comput. 16(8): 2159-2173 (2017) - [c59]Yuchao Ma, Hassan Ghasemzadeh:
Head-mounted sensors and wearable computing for automatic tunnel vision assessment. DATE 2017: 634-637 - [c58]Ramin Fallahzadeh, Josué Pagán Ortiz, Hassan Ghasemzadeh:
Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition. DATE 2017: 996-1001 - [c57]Josué Pagán, Ramin Fallahzadeh, Hassan Ghasemzadeh, José Manuel Moya, José Luis Risco-Martín, José L. Ayala:
An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices. DATE 2017: 1297-1302 - [c56]Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh:
Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications. ICCAD 2017: 360-367 - [c55]Ramin Fallahzadeh, Hassan Ghasemzadeh:
Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data. ICCPS 2017: 293-302 - [c54]Seyed Ali Rokni, Hassan Ghasemzadeh:
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors. IPSN 2017: 79-90 - [c53]Ramin Fallahzadeh, Bryan David Minor, Lorraine S. Evangelista, Diane J. Cook, Hassan Ghasemzadeh:
Mobile sensing to improve medication adherence: demo abstract. IPSN 2017: 279-280 - [c52]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
- [j22]Parastoo Alinia, Ramyar Saeedi, Ramin Fallahzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh:
A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors. IEEE J. Sel. Top. Signal Process. 10(5): 842-853 (2016) - [j21]Mohamed Bakhouya, Masoud Daneshtalab, Maurizio Palesi, Hassan Ghasemzadeh:
Many-core System-on-Chip: architectures and applications. Microprocess. Microsystems 43: 1-3 (2016) - [j20]Yuchao Ma, Navid Amini, Hassan Ghasemzadeh:
Wearable sensors for gait pattern examination in glaucoma patients. Microprocess. Microsystems 46: 67-74 (2016) - [j19]Hassan Ghasemzadeh, Ramin Fallahzadeh, Roozbeh Jafari:
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. ACM Trans. Design Autom. Electr. Syst. 21(4): 58:1-58:27 (2016) - [c51]Ramyar Saeedi, Hassan Ghasemzadeh, Assefaw Hadish Gebremedhin:
Transfer learning algorithms for autonomous reconfiguration of wearable systems. IEEE BigData 2016: 563-569 - [c50]Seyed Ali Rokni, Hassan Ghasemzadeh:
Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications. DAC 2016: 139:1-139:6 - [c49]Niloofar Hezarjaribi, Ramin Fallahzadeh, Hassan Ghasemzadeh:
A machine learning approach for medication adherence monitoring using body-worn sensors. DATE 2016: 842-845 - [c48]Niloofar Hezarjaribi, Cody A. Reynolds, Drew T. Miller, Naomi Chaytor, Hassan Ghasemzadeh:
S2NI: A mobile platform for nutrition monitoring from spoken data. EMBC 2016: 1991-1994 - [c47]Yuchao Ma, Hassan Ghasemzadeh:
An asynchronous multi-view learning approach for activity recognition using wearables. EMBC 2016: 3105-3108 - [c46]Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh:
SmartSock: A wearable platform for context-aware assessment of ankle edema. EMBC 2016: 6302-6306 - [c45]Seyed Ali Rokni, Hassan Ghasemzadeh:
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments. ICCAD 2016: 75 - [c44]Ramin Fallahzadeh, Hassan Ghasemzadeh:
CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors. ICCD 2016: 428-431 - [c43]Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh:
An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables. ISLPED 2016: 46-51 - 2015
- [j18]Bobak Mortazavi, Mohammad Pourhomayoun, Hassan Ghasemzadeh, Roozbeh Jafari, Christian K. Roberts, Majid Sarrafzadeh:
Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions. IEEE Internet Things J. 2(1): 84-93 (2015) - [j17]Nabil Alshurafa, Jo-Ann Eastwood, Suneil Nyamathi, Jason J. Liu, Wenyao Xu, Hassan Ghasemzadeh, Mohammad Pourhomayoun, Majid Sarrafzadeh:
Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization. IEEE J. Biomed. Health Informatics 19(1): 57-63 (2015) - [j16]