Mónica F. Bugallo

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 51

Top Venues

ICASSP

EUSIPCO

CAMSAP

IEEE Signal Process. Mag.

Publications

Marija Iloska, Mónica F. Bugallo
Generalized Two-Stage Particle Filter for High Dimensions. ICASSP (2023)
Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park
Streaming Variational Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Hechuan Wang, Xiaokun Zhao, Mónica F. Bugallo
Indoor UAV Height Estimation with Multiple Model-Detecting Particle Filters. EUSIPCO (2022)
Marija Iloska, Mónica F. Bugallo
State-Space Partitioning Schemes in Multiple Particle Filtering for Improved Accuracy. EUSIPCO (2022)
Marija Iloska, Yousef El-Laham, Mónica F. Bugallo
Graphical network and topology estimation for autoregressive models using Gibbs sampling. Signal Process. 190 (2022)
David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR (2021)
Zahraa Krayem, Yousef El-Laham, Mónica F. Bugallo
Robust Frequency and Phase Estimation for Three-Phase Power Systems Using a Bank of Kalman Filters. IEEE Signal Process. Lett. 28 (2021)
Hechuan Wang, Mónica F. Bugallo, Petar M. Djuric
Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes. ICASSP (2021)
Yousef El-Laham, Mónica F. Bugallo
Policy Gradient Importance Sampling for Bayesian Inference. IEEE Trans. Signal Process. 69 (2021)
Yousef El-Laham, Liu Yang, Heather J. Lynch, Petar M. Djuric, Mónica F. Bugallo
Particle Gibbs Sampling for Regime-Switching State-Space Models. ICASSP (2021)
Mónica F. Bugallo, Anthony G. Constantinides, Danilo P. Mandic, Alan V. Oppenheim, Roberto B. Togneri
Innovation Starts With Education [From the Guest Editors]. IEEE Signal Process. Mag. 38 (3) (2021)
Yousef El-Laham, Liu Yang, Petar M. Djuric, Mónica F. Bugallo
Particle Filtering Under General Regime Switching. EUSIPCO (2020)
Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo
Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling. ICASSP (2020)
Marija Iloska, Yousef El-Laham, Mónica F. Bugallo
A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks. ICASSP (2020)
David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä
A survey of Monte Carlo methods for parameter estimation. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Mónica F. Bugallo, Luis Castedo
EUSIPCO 2019: A Chronicle of the 27th European Signal Processing Conference in A Coruna, Spain: Looking Into the Future of Signal Processing [Conference Highlights]. IEEE Signal Process. Mag. 37 (1) (2020)
Liu Yang, Hechuan Wang, Yousef El-Laham, José Ignacio Lamas Fonte, David Trillo Pérez, Mónica F. Bugallo
Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters. ICASSP (2020)
Yousef El-Laham, Mónica F. Bugallo
Stochastic Gradient Population Monte Carlo. IEEE Signal Process. Lett. 27 (2020)
José C. M. Bermudez, Mónica F. Bugallo, Alle-Jan van der Veen
Highlights From the Signal Processing Theory and Methods Technical Committee [In the Spotlight]. IEEE Signal Process. Mag. 37 (2) (2020)
Yousef El-Laham, Víctor Elvira, Mónica F. Bugallo
Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling. CAMSAP (2019)
Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park
Streaming Variational Monte Carlo. CoRR (2019)
Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. ICLR (Poster) (2019)
Yousef El-Laham, Zahraa Krayem, Jessica Maghakian, Mónica F. Bugallo
A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations. EUSIPCO (2019)
Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]. IEEE Signal Process. Mag. 36 (6) (2019)
Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo
A Variational Adaptive Population Importance Sampler. ICASSP (2019)
Hechuan Wang, Mónica F. Bugallo, Petar M. Djuric
Adaptive importance sampling supported by a variational auto-encoder. CAMSAP (2019)
Victor Solo, Maria Sabrina Greco, Danilo P. Mandic, Petar M. Djuric, Andreas Spanias, Mónica F. Bugallo
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. IEEE Signal Process. Mag. 36 (5) (2019)
Sara Pérez-Vieites, Jordi Vilà-Valls, Mónica F. Bugallo, Joaquín Míguez, Pau Closas
Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering. CAMSAP (2019)
Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient Adaptive Multiple Importance Sampling. EUSIPCO (2019)
Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. CoRR (2018)
David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient linear fusion of partial estimators. Digit. Signal Process. 78 (2018)
Yousef El-Laham, Victor Elvira, Mónica F. Bugallo
Robust Covariance Adaptation in Adaptive Importance Sampling. IEEE Signal Process. Lett. 25 (7) (2018)
Matthew Dowling, Josue Nassar, Petar M. Djuric, Mónica F. Bugallo
Improved Adaptive Importance Sampling Based on Variational Inference. EUSIPCO (2018)
Jordi Vilà-Valls, Pau Closas, Mónica F. Bugallo, Joaquín Míguez
A Probabilistic Approach for Adaptive State-Space Partitioning. SSP (2018)
Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
In Search for Improved Auxiliary Particle Filters. EUSIPCO (2018)
Josue Nassar, Scott W. Linderman, Yuan Zhao, Mónica F. Bugallo, Il Memming Park
Learning Structured Neural Dynamics From Single Trial Population Recording. ACSSC (2018)
Jordi Vilà-Valls, Pau Closas, Mónica F. Bugallo, Joaquín Míguez
Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks. ACSSC (2018)
Matthew Dowling, Mónica F. Bugallo, Samir R. Das, Petar M. Djuric
Tracking of Objects in a Passive Backscattering Tag-to-Tag Network. SPAWC (2018)
Peter A. Milder, Mónica F. Bugallo
Practical Matlab experience in lecture-based signals and systems courses. ICASSP (2017)
Mónica F. Bugallo, Angela M. Kelly
Engineering Outreach: Yesterday, Today, and Tomorrow [SP Education]. IEEE Signal Process. Mag. 34 (3) (2017)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP (2017)
Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric
Adaptive Importance Sampling: The past, the present, and the future. IEEE Signal Process. Mag. 34 (4) (2017)
Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. 131 (2017)
Cagla Tasdemir, Mónica F. Bugallo, Petar M. Djuric
A particle-based approach for topology estimation of gene networks. CAMSAP (2017)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo for inference of latent ARMA time-series with innovations correlated in time. EURASIP J. Adv. Signal Process. 2017 (2017)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters. ICASSP (2017)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Multiple importance sampling with overlapping sets of proposals. SSP (2016)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo methods under model uncertainty. SSP (2016)
Mónica F. Bugallo, Victor Elvira, Luca Martino
A new strategy for effective learning in population Monte Carlo sampling. ACSSC (2016)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. 23 (10) (2016)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo sampling for correlated latent long-memory time-series. ICASSP (2016)
Mónica F. Bugallo, Angela M. Kelly
An outreach after-school program to introduce high-school students to electrical engineering. ICASSP (2015)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. 22 (10) (2015)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo sampling for systems with fractional Gaussian processes. EUSIPCO (2015)
Mónica F. Bugallo, Luca Martino, Jukka Corander
Adaptive importance sampling in signal processing. Digit. Signal Process. 47 (2015)
Jonathan P. Beaudeau, Mónica F. Bugallo, Petar M. Djuric
RSSI-Based Multi-Target Tracking by Cooperative Agents Using Fusion of Cross-Target Information. IEEE Trans. Signal Process. 63 (19) (2015)
Li Geng, Mónica F. Bugallo, Akshay Athalye, Petar M. Djuric
Real-time self-tracking in the Internet of Things. ICASSP (2015)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Filtering of nonlinear time-series coupled by fractional Gaussian processes. CAMSAP (2015)
Jonathan Beaudeau, Mónica F. Bugallo, Petar M. Djuric
On optimal mobile RSSI-sensor positioning for multi target tracking. ICASSP (2015)
Mónica F. Bugallo, Cagla Tasdemir, Petar M. Djuric
Estimation of gene expression by a bank of particle filters. EUSIPCO (2015)
David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo
Bias correction for distributed Bayesian estimators. CAMSAP (2015)
David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient linear combination of partial Monte Carlo estimators. ICASSP (2015)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
On sample generation and weight calculation in multiple importance sampling. ACSSC (2015)
Petar M. Djuric, Mónica F. Bugallo
Multiple particle filtering with improved efficiency and performance. ICASSP (2015)
Mónica F. Bugallo, Petar M. Djuric
Particle filtering in high-dimensional systems with Gaussian approximations. ICASSP (2014)
Li Geng, Mónica F. Bugallo, Akshay Athalye, Petar M. Djuric
Indoor Tracking With RFID Systems. IEEE J. Sel. Top. Signal Process. 8 (1) (2014)
Jonathan Beaudeau, Mónica F. Bugallo, Petar M. Djuric
Analysis of the cross-target measurement fusion likelihood for RSSI-based sensors. ICASSP (2014)
Mónica F. Bugallo, Petar M. Djuric
Gaussian particle filtering in high-dimensional systems. SSP (2014)
Mónica F. Bugallo, Jonathan Beaudeau, Petar M. Djuric
A mobile system for non-centralized target tracking in presence of dynamic interferences. EUSIPCO (2013)
Li Geng, Mónica F. Bugallo, Petar M. Djuric
Tracking with asynchronous binary readings and layout information in RFID systems with sense-a-tags. EUSIPCO (2013)
Pau Closas, Mónica F. Bugallo, Ermengol Coma, Leonardo Méndez
Prediction of influenza rates by particle filtering. ICASSP (2013)
Petar M. Djuric, Mónica F. Bugallo
Particle filtering for high-dimensional systems. CAMSAP (2013)
Li Geng, Mónica F. Bugallo, Petar M. Djuric
Tracking with RFID asynchronous measurements by particle filtering. ICASSP (2013)
Bingxin Shen, Mónica F. Bugallo, Petar M. Djuric
Estimation of multimodal posterior distributions of chirp parameters with population Monte Carlo sampling. ICASSP (2012)
Jonathan Beaudeau, Mónica F. Bugallo, Petar M. Djuric
Target tracking with asynchronous measurements by a network of distributed mobile agents. ICASSP (2012)
Li Geng, Mónica F. Bugallo, Akshay Athalye, Petar M. Djuric
Real time indoor tracking of tagged objects with a network of RFID readers. EUSIPCO (2012)
Pau Closas, Mónica F. Bugallo
Improving Accuracy by Iterated Multiple Particle Filtering. IEEE Signal Process. Lett. 19 (8) (2012)
Petar M. Djuric, Mónica F. Bugallo
Particle filtering for multivariate state-space models. ACSCC (2012)
Mónica F. Bugallo, Keith Sheppard, David Bynum
Educating engineers of the future. ICASSP (2012)
Petar M. Djuric, Jonathan Beaudeau, Mónica F. Bugallo
Non-centralized target tracking with mobile agents. ICASSP (2011)
Petar M. Djuric, Bingxin Shen, Mónica F. Bugallo
Population Monte Carlo methodology a la Gibbs sampling. EUSIPCO (2011)
Mónica F. Bugallo
Session TP8a2: Statistical and array signal processing for biomedical applications. ACSCC (2011)
Pau Closas, Mónica F. Bugallo
Iterated multiple particle filtering. CAMSAP (2011)
Chao Lin, Mónica F. Bugallo, Corinne Mailhes, Jean-Yves Tourneret
ECG denoising using a dynamical model and a marginalized particle filter. ACSCC (2011)
Mónica F. Bugallo, Shishir Dash, Galina Botchkina, Marco Lops, Petar M. Djuric
A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution. ICASSP (2011)
Petar M. Djuric, Pau Closas, Mónica F. Bugallo, Joaquín Míguez
Evaluation of a method's robustness. ICASSP (2010)
Mónica F. Bugallo, Galina Botchkina, Petar M. Djuric
A stochastic model of proliferation of cancer stem cells and its estimation by particle filtering. ICASSP (2010)
Mingyi Hong, Mónica F. Bugallo, Petar M. Djuric
Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation. IEEE J. Sel. Top. Signal Process. 4 (3) (2010)
Bingxin Shen, Mónica F. Bugallo, Petar M. Djuric
Multiple marginalized population Monte Carlo. EUSIPCO (2010)
Mónica F. Bugallo, Helio Takai, Michael Marx, David Bynum, John Hover
Hands-on engineering and science: Discovering cosmic rays using radar-based techniques and mobile technology. ICASSP (2009)
Mónica F. Bugallo, Mingyi Hong, Petar M. Djuric
Marginalized population Monte Carlo. ICASSP (2009)
Vibha Mane, Mónica F. Bugallo, Petar M. Djuric
Stochastic modeling of second order reactions using a moment propagation method. GENSiPS (2009)
Mahesh Vemula, Mónica F. Bugallo, Petar M. Djuric
Sensor self-localization with beacon position uncertainty. Signal Process. 89 (6) (2009)
Subodh Chiwate, Zejie Zhang, Kevin Mernick, Bingxin Shen, Dima Vavilov, Mónica F. Bugallo, Petar M. Djuric, Michael Marx, Helio Takai
SDR-based radar system for meteor detection. DPS (2009)
Mónica F. Bugallo, Michael Marx, David Bynum, Helio Takai, John Hover
Bringing Science and Engineering to the Classroom using Mobile Computing and Modern Cyberinfrastructure. CSEDU (1) (2009)
Petar M. Djuric, Mónica F. Bugallo
Estimation of stochastic rate constants and tracking of species in biochemical networks with second-order reactions. EUSIPCO (2009)
Pau Closas, Mónica F. Bugallo, Petar M. Djuric
Assessing robustness of particle filtering by the Kolmogorov-Smirnov statistics. ICASSP (2009)
Manuel A. Vázquez, Mónica F. Bugallo, Joaquín Míguez
Sequential Monte Carlo methods for complexity-constrained MAP equalization of dispersive MIMO channels. Signal Process. 88 (4) (2008)
Mónica F. Bugallo, Petar M. Djuric
A stochastic approach to solving inverse problems of biochemical networks. ICASSP (2008)
Ting Lu, Mónica F. Bugallo, Petar M. Djuric
RLS-assisted cost reference particle filtering. ICASSP (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mónica F. Bugallo