Matthew P. Buman

35 papers A* 2C 5Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Topological feature guided knowledge distillation for improved wearable sensor data analysis.
Neurocomputing
Jun Soo Kim, Jae Chan Jeong, Matthew P. Buman, Pavan Turaga, Eun Som Jeon
2025 J jnl
GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity.
CoRR
Abdullah Mamun, Asiful Arefeen, Susan B. Racette, Dorothy D. Sears, Corrie M. Whisner, Matthew P. Buman, Hassan Ghasemzadeh
2025 — conf
Optimizing CPAP Adherence and Quality of Life in Obstructive Sleep Apnea Patients using 3DoF-KF Hybrid Model Predictive Control.
CCTA
Owais Khan, Daniel E. Rivera, Megan E. Petrov, Matthew P. Buman
2025 J jnl
Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics.
CoRR
Fengxu Li, Stephanie Marita Carpenter, Matthew P. Buman, Yonatan Mintz
2025 J jnl
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data.
CoRR
Eun Som Jeon, Hongjun Choi, Matthew P. Buman, Pavan K. Turaga
2024 J jnl
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions.
CoRR
Abdullah Mamun, Krista S. Leonard, Megan E. Petrov, Matthew P. Buman, Hassan Ghasemzadeh
2024 J jnl
Robustness of topological persistence in knowledge distillation for wearable sensor data.
EPJ Data Sci.
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Hyunglae Lee, Pavan K. Turaga
2024 J jnl
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data.
CoRR
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
2024 J jnl
Topological persistence guided knowledge distillation for wearable sensor data.
Eng. Appl. Artif. Intell.
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
2024 J jnl
Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data.
IEEE Internet Things J.
Eun Som Jeon, Matthew P. Buman, Pavan K. Turaga
2023 J jnl
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data.
IEEE Trans. Instrum. Meas.
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
2022 C conf
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design.
BSN
Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh
2022 J jnl
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data.
CoRR
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga
2022 J jnl
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data.
IEEE Internet Things J.
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga
2022 — conf
Topological Knowledge Distillation for Wearable Sensor Data.
IEEECONF
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
2020 — conf
Design of the Future Workstation: Enhancing Health and Wellbeing on the Job.
AHFE (13)
Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls
2020 J jnl
Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.
IEEE Trans. Control. Syst. Technol.
César A. Martín, Daniel E. Rivera, Eric B. Hekler, William T. Riley, Matthew P. Buman, Marc A. Adams, Alicia B. Magann
2020 — conf
New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior.
IHIET (Paris)
Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls
2020 — conf
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.
CVPR Workshops
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
2020 — conf
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns.
EMBC
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
2020 J jnl
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns.
CoRR
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
2019 J jnl
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.
CoRR
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
2018 J jnl
Identifying Free-Living Physical Activities Using Lab-Based Models with Wearable Accelerometers.
Sensors
Arindam Dutta, Owen Ma, Meynard John Toledo, Alberto Florez Pregonero, Barbara E. Ainsworth, Matthew P. Buman, Daniel W. Bliss
2018 J jnl
Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention.
J. Biomed. Informatics
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
2018 — conf
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data.
CVPR Workshops
Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava
2017 A* conf
Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches.
CHI
Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew P. Buman, Eric B. Hekler
2017 — conf
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition.
HEALTHINF
Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
2016 C conf
A Hierarchical Meta-Classifier for Human Activity Recognition.
ICMLA
Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
2016 — conf
A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition.
ICHI
Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
2016 — conf
A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer.
EMBC
Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P. Buman, Pavan K. Turaga
2016 C conf
Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data.
ICMLA
Arindam Dutta, Owen Ma, Meynard John Toledo, Matthew P. Buman, Daniel W. Bliss
2016 C conf
Learning approach for classification of GENEActiv accelerometer data for unique activity identification.
BSN
Arindam Dutta, Owen Ma, Matthew P. Buman, Daniel W. Bliss
2015 — conf
Using periodicity intensity to detect long term behaviour change.
UbiComp/ISWC Adjunct
Feiyan Hu, Alan F. Smeaton, Eamonn Newman, Matthew P. Buman
2014 C conf
A dynamical systems model of Social Cognitive Theory.
ACC
Cesar A. Martin, Daniel E. Rivera, William T. Riley, Eric B. Hekler, Matthew P. Buman, Marc A. Adams, Abby C. King
2013 A* conf
Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research.
CHI
Eric B. Hekler, Predrag V. Klasnja, Jon Froehlich, Matthew P. Buman