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Iñigo Urteaga
Iñigo Urteaga
Ikerbasque Research Fellow, Basque Center for Applied Mathematics (BCAM)
Bestätigte E-Mail-Adresse bei bcamath.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Sequential Monte Carlo methods under model uncertainty
I Urteaga, MF Bugallo, PM Djurić
2016 ieee statistical signal processing workshop (ssp), 1-5, 2016
692016
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
682020
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
642011
Learning endometriosis phenotypes from patient-generated data
I Urteaga, M McKillop, N Elhadad
NPJ digital medicine 3 (1), 88, 2020
362020
Variational inference for the multi-armed contextual bandit
I Urteaga, CH Wiggins
Proceedings of the Twenty-First International Conference on Artificial …, 2018
362018
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
322014
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
322010
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
292009
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
262022
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
132016
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
132012
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
122015
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
112021
Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling
I Urteaga, CH Wiggins
arXiv preprint arXiv:1709.03162, 2017
102017
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
82018
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
82013
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
82011
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
K Li, I Urteaga, A Shea, VJ Vitzthum, CH Wiggins, N Elhadad
arXiv preprint arXiv:2102.12439, 2021
72021
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
72019
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile health data. npj Digital Medicine 3, 79
K Li, I Urteaga, CH Wiggins, A Druet, A Shea, VJ Vitzthum, N Elhadad
62020
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