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2020 – today
- 2023
[j39]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): 1150-1161 (2023)- 2022
- [j38]Marija Iloska, Yousef El-Laham, Mónica F. Bugallo:
Graphical network and topology estimation for autoregressive models using Gibbs sampling. Signal Process. 190: 108303 (2022) - [c101]Hechuan Wang, Xiaokun Zhao, Mónica F. Bugallo:
Indoor UAV Height Estimation with Multiple Model-Detecting Particle Filters. EUSIPCO 2022: 977-981 - [c100]Marija Iloska, Mónica F. Bugallo:
State-Space Partitioning Schemes in Multiple Particle Filtering for Improved Accuracy. EUSIPCO 2022: 2026-2030 - 2021
- [j37]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: 1235-1239 (2021) - [j36]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): 11-13 (2021) - [j35]Yousef El-Laham, Mónica F. Bugallo:
Policy Gradient Importance Sampling for Bayesian Inference. IEEE Trans. Signal Process. 69: 4245-4256 (2021) - [c99]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: 5579-5583 - [c98]Hechuan Wang, Mónica F. Bugallo, Petar M. Djuric:
Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes. ICASSP 2021: 5584-5588 - [i3]David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä:
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR abs/2107.11820 (2021) - 2020
- [j34]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): 25 (2020) - [j33]Yousef El-Laham, Mónica F. Bugallo:
Stochastic Gradient Population Monte Carlo. IEEE Signal Process. Lett. 27: 46-50 (2020) - [j32]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): 163-168 (2020) - [j31]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): 102-104 (2020) - [c97]Yousef El-Laham, Liu Yang, Petar M. Djuric, Mónica F. Bugallo:
Particle Filtering Under General Regime Switching. EUSIPCO 2020: 2378-2382 - [c96]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: 5455-5459 - [c95]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: 5475-5479 - [c94]Marija Iloska, Yousef El-Laham, Mónica F. Bugallo:
A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks. ICASSP 2020: 5855-5859
2010 – 2019
- 2019
- [j30]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): 135-147 (2019) - [j29]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): 145-152 (2019) - [c93]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: 609-613 - [c92]Hechuan Wang, Mónica F. Bugallo, Petar M. Djuric:
Adaptive importance sampling supported by a variational auto-encoder. CAMSAP 2019: 619-623 - [c91]Yousef El-Laham, Víctor Elvira, Mónica F. Bugallo:
Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling. CAMSAP 2019: 624-628 - [c90]Yousef El-Laham, Zahraa Krayem, Jessica Maghakian, Mónica F. Bugallo:
A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations. EUSIPCO 2019: 1-5 - [c89]Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient Adaptive Multiple Importance Sampling. EUSIPCO 2019: 1-5 - [c88]Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo:
A Variational Adaptive Population Importance Sampler. ICASSP 2019: 5052-5056 - [c87]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 - [i2]Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park:
Streaming Variational Monte Carlo. CoRR abs/1906.01549 (2019) - 2018
- [j28]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear fusion of partial estimators. Digit. Signal Process. 78: 265-283 (2018) - [j27]Yousef El-Laham, Victor Elvira, Mónica F. Bugallo:
Robust Covariance Adaptation in Adaptive Importance Sampling. IEEE Signal Process. Lett. 25(7): 1049-1053 (2018) - [c86]Josue Nassar, Scott W. Linderman, Yuan Zhao, Mónica F. Bugallo, Il Memming Park:
Learning Structured Neural Dynamics From Single Trial Population Recording. ACSSC 2018: 666-670 - [c85]Jordi Vilà-Valls, Pau Closas, Mónica F. Bugallo, Joaquín Míguez:
Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks. ACSSC 2018: 1439-1443 - [c84]Matthew Dowling, Josue Nassar, Petar M. Djuric, Mónica F. Bugallo:
Improved Adaptive Importance Sampling Based on Variational Inference. EUSIPCO 2018: 1632-1636 - [c83]Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric:
In Search for Improved Auxiliary Particle Filters. EUSIPCO 2018: 1637-1641 - [c82]Matthew Dowling, Mónica F. Bugallo, Samir R. Das, Petar M. Djuric:
Tracking of Objects in a Passive Backscattering Tag-to-Tag Network. SPAWC 2018: 1-5 - [c81]Jordi Vilà-Valls, Pau Closas, Mónica F. Bugallo, Joaquín Míguez:
A Probabilistic Approach for Adaptive State-Space Partitioning. SSP 2018: 248-252 - [i1]Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park:
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. CoRR abs/1811.12386 (2018) - 2017
- [j26]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: 84 (2017) - [j25]Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. 131: 77-91 (2017) - [j24]Mónica F. Bugallo, Angela M. Kelly:
Engineering Outreach: Yesterday, Today, and Tomorrow [SP Education]. IEEE Signal Process. Mag. 34(3): 69-100 (2017) - [j23]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): 60-79 (2017) - [c80]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP 2017: 1-5 - [c79]Cagla Tasdemir, Mónica F. Bugallo, Petar M. Djuric:
A particle-based approach for topology estimation of gene networks. CAMSAP 2017: 1-5 - [c78]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: 3849-3853 - [c77]Peter A. Milder, Mónica F. Bugallo:
Practical Matlab experience in lecture-based signals and systems courses. ICASSP 2017: 6339-6343 - 2016
- [j22]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. 23(10): 1474-1478 (2016) - [c76]Mónica F. Bugallo, Victor Elvira, Luca Martino:
A new strategy for effective learning in population Monte Carlo sampling. ACSSC 2016: 1540-1544 - [c75]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Sequential Monte Carlo sampling for correlated latent long-memory time-series. ICASSP 2016: 6580-6584 - [c74]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Multiple importance sampling with overlapping sets of proposals. SSP 2016: 1-5 - [c73]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Sequential Monte Carlo methods under model uncertainty. SSP 2016: 1-5 - 2015
- [j21]Mónica F. Bugallo, Luca Martino, Jukka Corander:
Adaptive importance sampling in signal processing. Digit. Signal Process. 47: 36-49 (2015) - [j20]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. 22(10): 1757-1761 (2015) - [j19]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): 5033-5044 (2015) - [c72]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
On sample generation and weight calculation in multiple importance sampling. ACSSC 2015: 1709-1713 - [c71]David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo:
Bias correction for distributed Bayesian estimators. CAMSAP 2015: 253-256 - [c70]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Filtering of nonlinear time-series coupled by fractional Gaussian processes. CAMSAP 2015: 489-492 - [c69]Mónica F. Bugallo, Cagla Tasdemir, Petar M. Djuric:
Estimation of gene expression by a bank of particle filters. EUSIPCO 2015: 494-498 - [c68]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Sequential Monte Carlo sampling for systems with fractional Gaussian processes. EUSIPCO 2015: 1246-1250 - [c67]Jonathan Beaudeau, Mónica F. Bugallo, Petar M. Djuric:
On optimal mobile RSSI-sensor positioning for multi target tracking. ICASSP 2015: 4025-4029 - [c66]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear combination of partial Monte Carlo estimators. ICASSP 2015: 4100-4104 - [c65]Petar M. Djuric, Mónica F. Bugallo:
Multiple particle filtering with improved efficiency and performance. ICASSP 2015: 4110-4114 - [c64]Li Geng, Mónica F. Bugallo, Akshay Athalye, Petar M. Djuric:
Real-time self-tracking in the Internet of Things. ICASSP 2015: 5510-5514 - [c63]Mónica F. Bugallo, Angela M. Kelly:
An outreach after-school program to introduce high-school students to electrical engineering. ICASSP 2015: 5540-5544 - 2014
- [j18]Li Geng, Mónica F. Bugallo, Akshay Athalye, Petar M. Djuric:
Indoor Tracking With RFID Systems. IEEE J. Sel. Top. Signal Process. 8(1): 96-105 (2014) - [c62]Jonathan Beaudeau, Mónica F. Bugallo, Petar M. Djuric:
Analysis of the cross-target measurement fusion likelihood for RSSI-based sensors. ICASSP 2014: 1856-1860 - [c61]Mónica F. Bugallo, Petar M. Djuric:
Particle filtering in high-dimensional systems with Gaussian approximations. ICASSP 2014: 8013-8017 - [c60]Mónica F. Bugallo, Petar M. Djuric:
Gaussian particle filtering in high-dimensional systems. SSP 2014: 129-132 - 2013
- [c59]Petar M. Djuric, Mónica F. Bugallo:
Particle filtering for high-dimensional systems. CAMSAP 2013: 352-355 - [c58]Mónica F. Bugallo, Jonathan Beaudeau, Petar M. Djuric:
A mobile system for non-centralized target tracking in presence of dynamic interferences. EUSIPCO 2013: 1-5 - [c57]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: 1-5 - [c56]Pau Closas, Mónica F. Bugallo, Ermengol Coma, Leonardo Méndez:
Prediction of influenza rates by particle filtering. ICASSP 2013: 1046-1050 - [c55]Li Geng, Mónica F. Bugallo, Petar M. Djuric:
Tracking with RFID asynchronous measurements by particle filtering. ICASSP 2013: 4051-4055 - 2012
- [j17]Pau Closas, Mónica F. Bugallo:
Improving Accuracy by Iterated Multiple Particle Filtering. IEEE Signal Process. Lett. 19(8): 531-534 (2012) - [c54]Petar M. Djuric, Mónica F. Bugallo:
Particle filtering for multivariate state-space models. ACSCC 2012: 373-376 - [c53]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: 205-209 - [c52]Mónica F. Bugallo, Keith Sheppard, David Bynum:
Educating engineers of the future. ICASSP 2012: 2749-2752 - [c51]Jonathan Beaudeau, Mónica F. Bugallo, Petar M. Djuric:
Target tracking with asynchronous measurements by a network of distributed mobile agents. ICASSP 2012: 3857-3860 - [c50]Bingxin Shen, Mónica F. Bugallo, Petar M. Djuric:
Estimation of multimodal posterior distributions of chirp parameters with population Monte Carlo sampling. ICASSP 2012: 3861-3864 - 2011
- [c49]Mónica F. Bugallo:
Session TP8a2: Statistical and array signal processing for biomedical applications. ACSCC 2011: 1677-1678 - [c48]Chao Lin, Mónica F. Bugallo, Corinne Mailhes, Jean-Yves Tourneret:
ECG denoising using a dynamical model and a marginalized particle filter. ACSCC 2011: 1679-1683 - [c47]Pau Closas, Mónica F. Bugallo:
Iterated multiple particle filtering. CAMSAP 2011: 89-92 - [c46]Petar M. Djuric, Bingxin Shen, Mónica F. Bugallo:
Population Monte Carlo methodology a la Gibbs sampling. EUSIPCO 2011: 669-673 - [c45]Petar M. Djuric, Jonathan Beaudeau, Mónica F. Bugallo:
Non-centralized target tracking with mobile agents. ICASSP 2011: 5928-5931 - [c44]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: 6000-6003 - 2010
- [j16]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): 526-539 (2010) - [c43]Bingxin Shen, Mónica F. Bugallo, Petar M. Djuric:
Multiple marginalized population Monte Carlo. EUSIPCO 2010: 1587-1591 - [c42]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: 529-533 - [c41]Petar M. Djuric, Pau Closas, Mónica F. Bugallo, Joaquín Míguez:
Evaluation of a method's robustness. ICASSP 2010: 3598-3601
2000 – 2009
- 2009
- [j15]Mahesh Vemula, Mónica F. Bugallo, Petar M. Djuric:
Sensor self-localization with beacon position uncertainty. Signal Process. 89(6): 1144-1154 (2009) - [c40]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: 206-209 - [c39]Petar M. Djuric, Mónica F. Bugallo:
Estimation of stochastic rate constants and tracking of species in biochemical networks with second-order reactions. EUSIPCO 2009: 2308-2311 - [c38]Vibha Mane, Mónica F. Bugallo, Petar M. Djuric:
Stochastic modeling of second order reactions using a moment propagation method. GENSiPS 2009: 1-4 - [c37]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: 2321-2324 - [c36]Pau Closas, Mónica F. Bugallo, Petar M. Djuric:
Assessing robustness of particle filtering by the Kolmogorov-Smirnov statistics. ICASSP 2009: 2917-2920 - [c35]Mónica F. Bugallo, Mingyi Hong, Petar M. Djuric:
Marginalized population Monte Carlo. ICASSP 2009: 2925-2928 - [c34]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: 1-6 - 2008
- [j14]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): 1017-1034 (2008) - [j13]Petar M. Djuric, Mahesh Vemula, Mónica F. Bugallo:
Target Tracking by Particle Filtering in Binary Sensor Networks. IEEE Trans. Signal Process. 56(6): 2229-2238 (2008) - [c33]Mónica F. Bugallo, Petar M. Djuric:
Complex systems and particle filtering. ACSCC 2008: 1183-1187 - [c32]Petar M. Djuric, Mónica F. Bugallo:
Particle filtering and the inverse problem of biochemical networks. EUSIPCO 2008: 1-5 - [c31]Mónica F. Bugallo, Petar M. Djuric:
A stochastic approach to solving inverse problems of biochemical networks. ICASSP 2008: 649-652 - [c30]Vibha Mane, Mónica F. Bugallo, Petar M. Djuric:
Stochastic simulation of coupled chemical reactions using recursive methods. ICASSP 2008: 653-656 - [c29]Mónica F. Bugallo, H. Takafi, Michael Marx, David Bynum, John Hover:
MARIACHI: A multidisciplinary effort to bring science and engineering to the classroom. ICASSP 2008: 2661-2664 - [c28]Ting Lu, Mónica F. Bugallo, Petar M. Djuric:
RLS-assisted cost reference particle filtering. ICASSP 2008: 3421-3424 - [c27]Petar M. Djuric, Mónica F. Bugallo, Vibha Mane:
On new stochastic approaches for solving forward and backward problems of biochemical networks. ITW 2008: 99-103 - 2007
- [j12]Mónica F. Bugallo, Shanshan Xu, Petar M. Djuric:
Performance comparison of EKF and particle filtering methods for maneuvering targets. Digit. Signal Process. 17(4): 774-786 (2007) - [j11]Mahesh Vemula, Mónica F. Bugallo, Petar M. Djuric:
Target tracking by fusion of random measures. Signal Image Video Process. 1(2): 149-161 (2007) - [j10]Mahesh Vemula, Mónica F. Bugallo, Petar M. Djuric:
Performance Comparison of Gaussian-Based Filters Using Information Measures. IEEE Signal Process. Lett. 14(12): 1020-1023 (2007) - [c26]Mónica F. Bugallo, Ting Lu, Petar M. Djuric:
Fusion of information from biased sensor data by particle filtering. EUSIPCO 2007: 891-895 - [c25]Mahesh Vemula, Mónica F. Bugallo, Petar M. Djuric:
Cost-Based Monte Carlo Sampling Approaches for Sensor Self-Localization Under Beacon Position Uncertainty. ICASSP (2) 2007: 833-836 - [c24]Petar M. Djuric, Ting Lu, Mónica F. Bugallo:
Multiple Particle Filtering. ICASSP (3) 2007: 1181-1184 - [c23]Shanshan Xu, Mónica F. Bugallo, Petar M. Djuric:
Sequential Estimation by Combined cost-Reference Particle and Kalman Filtering. ICASSP (3) 2007: 1185-1188 - [c22]Mónica F. Bugallo, Ting Lu, Petar M. Djuric:
Tracking with Biased Measurements of Signal Strength Sensors. DSP 2007: 567-570 - 2006
- [j9]Joaquín Míguez, Mónica F. Bugallo, Petar M. Djuric:
Erratum to "A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics". EURASIP J. Adv. Signal Process. 2006 (2006) - [c21]Mónica F. Bugallo, Petar M. Djuric:
Advances in cost-reference particle filtering. EUSIPCO 2006: 1-4 - [c20]Mahesh Vemula, Mónica F. Bugallo, Petar M. Djuric:
Fusion of Information for Sensor Self-Localization by a Monte Carlo Method. FUSION 2006: 1-7 - [c19]Mónica F. Bugallo, Petar M. Djuric:
Tracking of Time-Varying Number of Moving Targets in Wireless Sensor Fields by Particle Filtering. ICASSP (4) 2006: 865-868 - [c18]Shanshan Xu, Mónica F. Bugallo, Petar M. Djuric:
Maneuvering Target Tracking with Simplified Cost Reference Particle Filters. ICASSP (4) 2006: 937-940 - [c17]Mahesh Vemula, Mónica F. Bugallo, Petar M. Djuric:
Target Tracking in a Two-Tiered Hierarchical Sensor Network. ICASSP (4) 2006: 969-972 - 2005
- [j8]Joaquín Míguez, Mónica F. Bugallo:
On the estimation of random unobserved signals by maximization of target likelihoods and its application to blind timing and phase recovery. Digit. Signal Process. 15(2): 171-190 (2005) - [j7]Tadesse Ghirmai, Mónica F. Bugallo, Joaquín Míguez, Petar M. Djuric: