Mónica F. Bugallo

Orcid: 0000-0003-2963-1474

According to our database1, Mónica F. Bugallo authored at least 141 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Streaming Variational Monte Carlo.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Generalized Two-Stage Particle Filter for High Dimensions.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Graphical network and topology estimation for autoregressive models using Gibbs sampling.
Signal Process., 2022

Indoor UAV Height Estimation with Multiple Model-Detecting Particle Filters.
Proceedings of the 30th European Signal Processing Conference, 2022

State-Space Partitioning Schemes in Multiple Particle Filtering for Improved Accuracy.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Policy Gradient Importance Sampling for Bayesian Inference.
IEEE Trans. Signal Process., 2021

Innovation Starts With Education [From the Guest Editors].
IEEE Signal Process. Mag., 2021

Robust Frequency and Phase Estimation for Three-Phase Power Systems Using a Bank of Kalman Filters.
IEEE Signal Process. Lett., 2021

Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2021

Particle Gibbs Sampling for Regime-Switching State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
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., 2020

Highlights From the Signal Processing Theory and Methods Technical Committee [In the Spotlight].
IEEE Signal Process. Mag., 2020

Stochastic Gradient Population Monte Carlo.
IEEE Signal Process. Lett., 2020

A survey of Monte Carlo methods for parameter estimation.
EURASIP J. Adv. Signal Process., 2020

Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Particle Filtering Under General Regime Switching.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum].
IEEE Signal Process. Mag., 2019

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes].
IEEE Signal Process. Mag., 2019

Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Variational Adaptive Population Importance Sampler.
Proceedings of the IEEE International Conference on Acoustics, 2019

Efficient Adaptive Multiple Importance Sampling.
Proceedings of the 27th European Signal Processing Conference, 2019

A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations.
Proceedings of the 27th European Signal Processing Conference, 2019

Adaptive importance sampling supported by a variational auto-encoder.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Robust Covariance Adaptation in Adaptive Importance Sampling.
IEEE Signal Process. Lett., 2018

Efficient linear fusion of partial estimators.
Digit. Signal Process., 2018

A Probabilistic Approach for Adaptive State-Space Partitioning.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Tracking of Objects in a Passive Backscattering Tag-to-Tag Network.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

In Search for Improved Auxiliary Particle Filters.
Proceedings of the 26th European Signal Processing Conference, 2018

Improved Adaptive Importance Sampling Based on Variational Inference.
Proceedings of the 26th European Signal Processing Conference, 2018

Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Learning Structured Neural Dynamics From Single Trial Population Recording.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Engineering Outreach: Yesterday, Today, and Tomorrow [SP Education].
IEEE Signal Process. Mag., 2017

Adaptive Importance Sampling: The past, the present, and the future.
IEEE Signal Process. Mag., 2017

Improving population Monte Carlo: Alternative weighting and resampling schemes.
Signal Process., 2017

Sequential Monte Carlo for inference of latent ARMA time-series with innovations correlated in time.
EURASIP J. Adv. Signal Process., 2017

Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Practical Matlab experience in lecture-based signals and systems courses.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A particle-based approach for topology estimation of gene networks.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Population Monte Carlo schemes with reduced path degeneracy.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Heretical Multiple Importance Sampling.
IEEE Signal Process. Lett., 2016

Sequential Monte Carlo methods under model uncertainty.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Multiple importance sampling with overlapping sets of proposals.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Sequential Monte Carlo sampling for correlated latent long-memory time-series.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A new strategy for effective learning in population Monte Carlo sampling.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
RSSI-Based Multi-Target Tracking by Cooperative Agents Using Fusion of Cross-Target Information.
IEEE Trans. Signal Process., 2015

Efficient Multiple Importance Sampling Estimators.
IEEE Signal Process. Lett., 2015

Adaptive importance sampling in signal processing.
Digit. Signal Process., 2015

Efficient linear combination of partial Monte Carlo estimators.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Real-time self-tracking in the Internet of Things.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multiple particle filtering with improved efficiency and performance.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

An outreach after-school program to introduce high-school students to electrical engineering.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

On optimal mobile RSSI-sensor positioning for multi target tracking.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sequential Monte Carlo sampling for systems with fractional Gaussian processes.
Proceedings of the 23rd European Signal Processing Conference, 2015

Estimation of gene expression by a bank of particle filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

Filtering of nonlinear time-series coupled by fractional Gaussian processes.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Bias correction for distributed Bayesian estimators.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

On sample generation and weight calculation in multiple importance sampling.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Indoor Tracking With RFID Systems.
IEEE J. Sel. Top. Signal Process., 2014

Gaussian particle filtering in high-dimensional systems.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Particle filtering in high-dimensional systems with Gaussian approximations.
Proceedings of the IEEE International Conference on Acoustics, 2014

Analysis of the cross-target measurement fusion likelihood for RSSI-based sensors.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Tracking with RFID asynchronous measurements by particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2013

Prediction of influenza rates by particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2013

Tracking with asynchronous binary readings and layout information in RFID systems with sense-a-tags.
Proceedings of the 21st European Signal Processing Conference, 2013

A mobile system for non-centralized target tracking in presence of dynamic interferences.
Proceedings of the 21st European Signal Processing Conference, 2013

Particle filtering for high-dimensional systems.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Improving Accuracy by Iterated Multiple Particle Filtering.
IEEE Signal Process. Lett., 2012

Estimation of multimodal posterior distributions of chirp parameters with population Monte Carlo sampling.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Educating engineers of the future.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Target tracking with asynchronous measurements by a network of distributed mobile agents.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Real time indoor tracking of tagged objects with a network of RFID readers.
Proceedings of the 20th European Signal Processing Conference, 2012

Particle filtering for multivariate state-space models.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Non-centralized target tracking with mobile agents.
Proceedings of the IEEE International Conference on Acoustics, 2011

A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution.
Proceedings of the IEEE International Conference on Acoustics, 2011

Population Monte Carlo methodology a la Gibbs sampling.
Proceedings of the 19th European Signal Processing Conference, 2011

Iterated multiple particle filtering.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

ECG denoising using a dynamical model and a marginalized particle filter.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session TP8a2: Statistical and array signal processing for biomedical applications.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation.
IEEE J. Sel. Top. Signal Process., 2010

Evaluation of a method's robustness.
Proceedings of the IEEE International Conference on Acoustics, 2010

A stochastic model of proliferation of cancer stem cells and its estimation by particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2010

Multiple marginalized population Monte Carlo.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Sensor self-localization with beacon position uncertainty.
Signal Process., 2009

SDR-based radar system for meteor detection.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Assessing robustness of particle filtering by the Kolmogorov-Smirnov statistics.
Proceedings of the IEEE International Conference on Acoustics, 2009

Hands-on engineering and science: Discovering cosmic rays using radar-based techniques and mobile technology.
Proceedings of the IEEE International Conference on Acoustics, 2009

Marginalized population Monte Carlo.
Proceedings of the IEEE International Conference on Acoustics, 2009

Stochastic modeling of second order reactions using a moment propagation method.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Estimation of stochastic rate constants and tracking of species in biochemical networks with second-order reactions.
Proceedings of the 17th European Signal Processing Conference, 2009

Bringing Science and Engineering to the Classroom using Mobile Computing and Modern Cyberinfrastructure.
Proceedings of the CSEDU 2009 - Proceedings of the First International Conference on Computer Supported Education, Lisboa, Portugal, March 23-26, 2009, 2009

2008
Target Tracking by Particle Filtering in Binary Sensor Networks.
IEEE Trans. Signal Process., 2008

Sequential Monte Carlo methods for complexity-constrained MAP equalization of dispersive MIMO channels.
Signal Process., 2008

On new stochastic approaches for solving forward and backward problems of biochemical networks.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Stochastic simulation of coupled chemical reactions using recursive methods.
Proceedings of the IEEE International Conference on Acoustics, 2008

RLS-assisted cost reference particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2008

MARIACHI: A multidisciplinary effort to bring science and engineering to the classroom.
Proceedings of the IEEE International Conference on Acoustics, 2008

A stochastic approach to solving inverse problems of biochemical networks.
Proceedings of the IEEE International Conference on Acoustics, 2008

Particle filtering and the inverse problem of biochemical networks.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Complex systems and particle filtering.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Performance Comparison of Gaussian-Based Filters Using Information Measures.
IEEE Signal Process. Lett., 2007

Target tracking by fusion of random measures.
Signal Image Video Process., 2007

Performance comparison of EKF and particle filtering methods for maneuvering targets.
Digit. Signal Process., 2007

Tracking with Biased Measurements of Signal Strength Sensors.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Sequential Estimation by Combined cost-Reference Particle and Kalman Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2007

Cost-Based Monte Carlo Sampling Approaches for Sensor Self-Localization Under Beacon Position Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2007

Multiple Particle Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2007

Fusion of information from biased sensor data by particle filtering.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Erratum to "A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics".
EURASIP J. Adv. Signal Process., 2006

Maneuvering Target Tracking with Simplified Cost Reference Particle Filters.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Target Tracking in a Two-Tiered Hierarchical Sensor Network.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Tracking of Time-Varying Number of Moving Targets in Wireless Sensor Fields by Particle Filtering.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Fusion of Information for Sensor Self-Localization by a Monte Carlo Method.
Proceedings of the 9th International Conference on Information Fusion, 2006

Advances in cost-reference particle filtering.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
A sequential Monte Carlo method for adaptive blind timing estimation and data detection.
IEEE Trans. Signal Process., 2005

On the estimation of random unobserved signals by maximization of target likelihoods and its application to blind timing and phase recovery.
Digit. Signal Process., 2005

An application of system theory to stochastic models for first order chemical reactions.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Joint estimation of states and transition functions of dynamic systems using cost-reference particle filtering.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Tracking with particle filtering in tertiary wireless sensor networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Decision fusion for distributed target tracking using cost reference particle filtering.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
A sequential Monte Carlo technique for blind synchronization and detection in frequency-flat Rayleigh fading wireless channels.
Signal Process., 2004

A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics.
EURASIP J. Adv. Signal Process., 2004

A particle filter for blind timing recovery and data detection in fast fading wireless channels.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Density assisted particle filters for state and parameter estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Maneuvering target tracking using cost reference particle filtering.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Stochastic simulation and parameter estimation of first order chemical reactions.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Particle filtering.
IEEE Signal Process. Mag., 2003

Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach.
Signal Process., 2003

Joint symbol detection and timing estimation using particle filtering.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Parametric estimation of hidden signals by likelihood maximization.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Decision-Feedback semiblind channel equalization in Space-Time Coded systems.
Proceedings of the IEEE International Conference on Acoustics, 2002

Likelihood-based selection of filtering parameters.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
A maximum likelihood approach to blind multiuser interference cancellation.
IEEE Trans. Signal Process., 2001

Semiblind linear multiuser interference cancellation: a maximum likelihood approach.
Signal Process., 2001

A novel blind diversity combining receiver for CDMA systems.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Semiblind decision-feedback multiuser interference cancellation based on the maximum likelihood principle.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
A semiblind approach to optimum multiuser detection.
Proceedings of the 10th European Signal Processing Conference, 2000

An information theoretic approach to blind Multiple Access Interference suppression.
Proceedings of the 10th European Signal Processing Conference, 2000


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