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2020 – today
- 2024
[j7]Eun Som Jeon
, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga:
Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. 130: 107719 (2024)- [j6]Eun Som Jeon, Matthew P. Buman, Pavan K. Turaga:
Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data. IEEE Internet Things J. 11(18): 30413-30429 (2024) - [i4]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga:
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR abs/2407.05315 (2024) - 2023
- [j5]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga:
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - 2022
- [j4]Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. 9(14): 12848-12860 (2022) - [c17]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga:
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF 2022: 837-842 - [c16]Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh:
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. BSN 2022: 1-4 - [i3]Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR abs/2201.00111 (2022) - 2020
- [j3]César A. Martín, Daniel E. Rivera, Eric B. Hekler, William T. Riley, Matthew P. Buman, Marc A. Adams, Alicia B. Magann:
Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions. IEEE Trans. Control. Syst. Technol. 28(2): 331-346 (2020) - [c15]Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls:
Design of the Future Workstation: Enhancing Health and Wellbeing on the Job. AHFE (13) 2020: 407-413 - [c14]Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga:
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops 2020: 3639-3648 - [c13]Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga:
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. EMBC 2020: 784-788 - [c12]Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls:
New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior. IHIET (Paris) 2020: 371-376 - [i2]Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga:
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. CoRR abs/2005.02589 (2020)
2010 – 2019
- 2019
- [i1]Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga:
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR abs/1906.01769 (2019) - 2018
- [j2]Sayali S. Phatak, Mohammad T. Freigoun, César A. Martín, Daniel E. Rivera, Elizabeth V. Korinek, Marc A. Adams, Matthew P. Buman, Predrag V. Klasnja, Eric B. Hekler:
Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. J. Biomed. Informatics 79: 82-97 (2018) - [j1]Arindam Dutta, Owen Ma, Meynard John Toledo, Alberto Florez Pregonero, Barbara E. Ainsworth, Matthew P. Buman, Daniel W. Bliss:
Identifying Free-Living Physical Activities Using Lab-Based Models with Wearable Accelerometers. Sensors 18(11): 3893 (2018) - [c11]Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava:
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. CVPR Workshops 2018: 349-357 - 2017
- [c10]Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition. HEALTHINF 2017: 319-325 - [c9]Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew P. Buman, Eric B. Hekler:
Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. CHI 2017: 6837-6849 - 2016
- [c8]Arindam Dutta, Owen Ma, Matthew P. Buman, Daniel W. Bliss:
Learning approach for classification of GENEActiv accelerometer data for unique activity identification. BSN 2016: 359-364 - [c7]Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P. Buman, Pavan K. Turaga:
A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer. EMBC 2016: 2631-2635 - [c6]Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition. ICHI 2016: 423-431 - [c5]Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
A Hierarchical Meta-Classifier for Human Activity Recognition. ICMLA 2016: 81-86 - [c4]Arindam Dutta, Owen Ma, Meynard John Toledo, Matthew P. Buman, Daniel W. Bliss:
Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data. ICMLA 2016: 339-346 - 2015
- [c3]Feiyan Hu, Alan F. Smeaton, Eamonn Newman, Matthew P. Buman:
Using periodicity intensity to detect long term behaviour change. UbiComp/ISWC Adjunct 2015: 1069-1074 - 2014
- [c2]Cesar A. Martin, Daniel E. Rivera, William T. Riley, Eric B. Hekler, Matthew P. Buman, Marc A. Adams, Abby C. King:
A dynamical systems model of Social Cognitive Theory. ACC 2014: 2407-2412 - 2013
- [c1]Eric B. Hekler, Predrag V. Klasnja, Jon Froehlich, Matthew P. Buman:
Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research. CHI 2013: 3307-3316
Coauthor Index
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