Roy Adams
Title
Cited by
Cited by
Year
Impact of a collective intelligence tailored messaging system on smoking cessation: the Perspect randomized experiment
RS Sadasivam, EM Borglund, R Adams, BM Marlin, TK Houston
Journal of medical Internet research 18 (11), e285, 2016
262016
rconverse: Moment by moment conversation detection using a mobile respiration sensor
R Bari, RJ Adams, MM Rahman, MB Parsons, EH Buder, S Kumar
Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2018
202018
Towards collaborative filtering recommender systems for tailored health communications
BM Marlin, RJ Adams, R Sadasivam, TK Houston
AMIA annual symposium proceedings 2013, 1600, 2013
192013
PERSPeCT: collaborative filtering for tailored health communications
RJ Adams, RS Sadasivam, K Balakrishnan, RL Kinney, TK Houston, ...
Proceedings of the 8th ACM Conference on Recommender Systems, 329-332, 2014
182014
Hierarchical span-based conditional random fields for labeling and segmenting events in wearable sensor data streams
R Adams, N Saleheen, E Thomaz, A Parate, S Kumar, B Marlin
International conference on machine learning, 334-343, 2016
172016
Evaluating Model Robustness and Stability to Dataset Shift
A Subbaswamy, R Adams, S Saria
International Conference on Artificial Intelligence and Statistics, 2611-2619, 2021
152021
Learning time series detection models from temporally imprecise labels
R Adams, B Marlin
Artificial Intelligence and Statistics, 157-165, 2017
102017
Learning models from data with measurement error: Tackling underreporting
R Adams, Y Ji, X Wang, S Saria
International Conference on Machine Learning, 61-70, 2019
62019
AMIA annual symposium proceedings
BM Marlin, RJ Adams, R Sadasivam, TK Houston
62013
Learning Time Series Segmentation Models from Temporally Imprecise Labels
RJ Adams, BM Marlin
The Conference on Uncertainty in Artificial Intelligence (UAI), 2018
52018
Partial Identifiability in Discrete Data With Measurement Error
N Finkelstein, R Adams, S Saria, I Shpitser
arXiv preprint arXiv:2012.12449, 2020
42020
Parsing wireless electrocardiogram signals with context free grammar conditional random fields
T Nguyen, RJ Adams, A Natarajan, BM Marlin
2016 IEEE Wireless Health (WH), 1-8, 2016
42016
Machine Learning Methods for Activity Detection in Wearable Sensor Data Streams
R Adams
12018
An improved data representation for smoking detection with wearable respiration sensors
L Hiatt, RJ Adams, BM Marlin
2016 IEEE International Conference on Healthcare Informatics (ICHI), 409-409, 2016
12016
Evaluating Adoption, Impact, and Factors Driving Adoption for TREWS, a Machine Learning-Based Sepsis Alerting System
KE Henry, R Adams, C Parent, A Sridharan, L Johnson, DN Hager, ...
medRxiv, 2021
2021
The Impact of Time Series Length and Discretization on Longitudinal Causal Estimation Methods
R Adams, S Saria, M Rosenblum
arXiv preprint arXiv:2011.15099, 2020
2020
PERSPECT: COLLECTIVE-INTELLIGENCE BASED TAILORING: RESULTS OF AN RCT
R Sadasivam, E Borglund, T English, R Adams, B Marlin, T Houston
ANNALS OF BEHAVIORAL MEDICINE 50, S331-S331, 2016
2016
COLLECTIVE-INTELLIGENCE VERSUS RULE-BASED TAILORING: PRELIMINARY RESULTS OF AN RCT
R Sadasivam, T English, R Adams, BM Marlin, T Houston
ANNALS OF BEHAVIORAL MEDICINE 49, S213-S213, 2015
2015
Parsing Wireless Electrocardiogram Signals with the CRF-CFG Model
T Nguyen, RJ Adams, A Natarajan, BM Marlin
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Articles 1–19