| Sequential Monte Carlo methods under model uncertainty I Urteaga, MF Bugallo, PM Djurić 2016 ieee statistical signal processing workshop (ssp), 1-5, 2016 | 63 | 2016 |
| A tutorial on H. 264/SVC scalable video coding and its tradeoff between quality, coding efficiency and performance I Unanue, I Urteaga, R Husemann, J Del Ser, V Roesler, A Rodríguez, ... Recent Advances on Video Coding 13, 9-15, 2011 | 57 | 2011 |
| Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data K Li, I Urteaga, CH Wiggins, A Druet, A Shea, VJ Vitzthum, N Elhadad NPJ digital medicine 3 (1), 79, 2020 | 47 | 2020 |
| Variational inference for the multi-armed contextual bandit I Urteaga, CH Wiggins Proceedings of the Twenty-First International Conference on Artificial …, 2018 | 32 | 2018 |
| Acquisition of human traces with Bluetooth technology: Challenges and proposals JM Cabero, V Molina, I Urteaga, F Liberal, JL Martín Ad Hoc Networks 12, 2-16, 2014 | 31 | 2014 |
| On integrating groundwater transport models with wireless sensor networks K Barnhart, I Urteaga, Q Han, A Jayasumana, T Illangasekare Groundwater 48 (5), 771-780, 2010 | 31 | 2010 |
| REDFLAG: A run-time, distributed, flexible, lightweight, and generic fault detection service for data-driven wireless sensor applications I Urteaga, K Barnhart, Q Han Pervasive and Mobile Computing 5 (5), 432-446, 2009 | 29 | 2009 |
| Learning endometriosis phenotypes from patient-generated data I Urteaga, M McKillop, N Elhadad NPJ digital medicine 3 (1), 88, 2020 | 28 | 2020 |
| A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking K Li, I Urteaga, A Shea, VJ Vitzthum, CH Wiggins, N Elhadad Journal of the American Medical Informatics Association 29 (1), 3-11, 2022 | 13 | 2022 |
| CRAWDAD data set tecnalia/humanet (v. 2012-06-12) JM Cabero, V Molina, I Urteaga, F Liberal, JL Martin CRAWDAD Wirel Netw Data Arch, 2012 | 13 | 2012 |
| Reliability of Bluetooth-based connectivity traces for the characterization of human interaction JM Cabero, I Urteaga, V Molina, F Liberal, JL Martín Ad Hoc Networks 24, 135-146, 2015 | 11 | 2015 |
| Sequential estimation of hidden ARMA processes by particle filtering — Part I & II I Urteaga, PM Djurić IEEE Transactions on Signal Processing 65 (2), 482-493, 2016 | 10 | 2016 |
| Multi-task Gaussian processes and dilated convolutional networks for reconstruction of reproductive hormonal dynamics I Urteaga, T Bertin, TM Hardy, DJ Albers, N Elhadad Machine Learning for Healthcare Conference, 66-90, 2019 | 8 | 2019 |
| Phenotyping endometriosis through mixed membership models of self-tracking data I Urteaga, M McKillop, S Lipsky-Gorman, N Elhadad arXiv preprint arXiv:1811.03431, 2018 | 8 | 2018 |
| Replication and optimization of hedge fund risk factor exposures DE Johnston, I Urteaga, PM Djurić 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 8 | 2013 |
| Aware: Activity aware network clustering for wireless sensor networks I Urteaga, N Yu, N Hubbell, Q Han 2011 IEEE 36th Conference on Local Computer Networks, 589-596, 2011 | 8 | 2011 |
| Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes I Urteaga, DJ Albers, MV Wheeler, A Druet, H Raffauf, N Elhadad arXiv preprint arXiv:1712.00117, 2017 | 6 | 2017 |
| Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling I Urteaga, CH Wiggins arXiv preprint arXiv:1709.03162, 2017 | 6 | 2017 |
| A generative modeling approach to calibrated predictions: a use case on menstrual cycle length prediction I Urteaga, K Li, A Shea, VJ Vitzthum, CH Wiggins, N Elhadad Machine Learning for Healthcare Conference, 535-566, 2021 | 5 | 2021 |
| Nonparametric Gaussian Mixture Models for the Multi-Armed Bandit I Urteaga, CH Wiggins arXiv preprint arXiv:1808.02932, 2018 | 5* | 2018 |
Chris H WigginsAssociate Professor, Columbia UniversityVerified email at columbia.edu
