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Ana Maria Tomé
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2020 – today
- 2024
- [j42]Martim Sousa
, Ana Maria Tomé
Improving conformalized quantile regression through cluster-based feature relevance. Expert Syst. Appl. 238(Part F): 122322 (2024) - [j41]Martim Sousa
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting. Neurocomputing 608: 128434 (2024) - 2022
- [i6]Martim Sousa, Ana Maria Tomé, José Manuel Moreira:
Improved conformalized quantile regression. CoRR abs/2207.02808 (2022) - [i5]Martim Sousa, Ana Maria Tomé, José Manuel Moreira:
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting. CoRR abs/2207.14219 (2022) - 2021
- [j40]Simon Wein
Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning. Comput. Intell. Neurosci. 2021: 5573740:1-5573740:31 (2021) - [j39]M. Xarez, P. Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang:
Extracting control variables of casting processes with NMF and rule extraction. Expert Syst. Appl. 180: 115118 (2021) - [c70]Bruno V. Mendes, Ana Maria Tomé, Isabel M. Santos
Analysis of eyewitness testimony using electroencephalogram signals. EMBC 2021: 894-897 - 2020
- [j38]Carolina Gouveia
Study on the usage feasibility of continuous-wave radar for emotion recognition. Biomed. Signal Process. Control. 58: 101835 (2020) - [j37]S. Hamidreza Kasaei
Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2567-2580 (2020) - [j36]Saad Al-Baddai, Pere Martí-Puig
A recognition-verification system for noisy faces based on an empirical mode decomposition with Green's functions. Soft Comput. 24(5): 3809-3827 (2020) - [i4]Simon Wein, Wilhelm M. Malloni, Ana Maria Tomé, Sebastian M. Frank, Gina-Isabelle Henze, Stefan Wüst, Mark W. Greenlee, Elmar Wolfgang Lang:
A Graph Neural Network Framework for Causal Inference in Brain Networks. CoRR abs/2010.07143 (2020)
2010 – 2019
- 2019
- [c69]Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang:
Hybridizing EMD with cICA for fMRI Analysis of Patient Groups. EMBC 2019: 194-197 - [c68]Ana R. Teixeira
Mining EEG scalp maps of independent components related to HCT tasks. EMBC 2019: 3888-3891 - [c67]José Castanheira, Francisco Curado
Machine Learning Methods for Radar-Based People Detection and Tracking. EPIA (1) 2019: 412-423 - [c66]S. Hamidreza Kasaei, Nima Shafii, Luís Seabra Lopes
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation. ICRA 2019: 3747-3753 - [c65]Jonathan Kobold
Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets. IPTA 2019: 1-6 - [c64]José Castanheira, Francisco Curado
Machine Learning Methods for Radar-Based People Detection and Tracking by Mobile Robots. ROBOT (2) 2019: 379-391 - [i3]Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang:
A constrained ICA-EMD Model for Group Level fMRI Analysis. CoRR abs/1903.09412 (2019) - [i2]Peter Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang:
Decomposing Temperature Time Series with Non-Negative Matrix Factorization. CoRR abs/1904.02217 (2019) - [i1]S. Hamidreza Kasaei, Nima Shafii, Luís Seabra Lopes, Ana Maria Tomé:
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation. CoRR abs/1904.02530 (2019) - 2018
- [j35]S. Hamidreza Kasaei
Towards lifelong assistive robotics: A tight coupling between object perception and manipulation. Neurocomputing 291: 151-166 (2018) - [j34]Vincent Vigneron
Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets. Signal Process. 144: 77-86 (2018) - [c63]S. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim
Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. AAAI 2018: 596-603 - [c62]Ana Rita Teixeira
Does music help to be more attentive while performing a task? A brain activity analysis. BIBM 2018: 1564-1570 - [c61]Ana Rita Teixeira
Attention and concentration in normal and deaf gamers. BIBM 2018: 1571-1576 - [c60]S. Hamidreza Kasaei, Luís Seabra Lopes
Coping with Context Change in Open-Ended Object Recognition without Explicit Context Information. IROS 2018: 1-7 - 2017
- [j33]Markus Goldhacker
A multi-variate blind source separation algorithm. Comput. Methods Programs Biomed. 151: 91-99 (2017) - [c59]Vincent Vigneron
Z-Images. IbPRIA 2017: 177-184 - [c58]Daniel Malafaia
Energy Based Clustering Method to Estimate Channel Occupation of LTE in Unlicensed Spectrum. IWINAC (2) 2017: 325-332 - 2016
- [j32]Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé
Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions. Biomed. Signal Process. Control. 30: 53-63 (2016) - [j31]Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé
A green's function-based Bi-dimensional empirical mode decomposition. Inf. Sci. 348: 305-321 (2016) - [j30]Daniel Malafaia
Cognitive bio-radar: The natural evolution of bio-signals measurement. J. Medical Syst. 40(10): 219:1-219:9 (2016) - [j29]Daniel Malafaia
Adaptive threshold spectrum sensing based on Expectation Maximization algorithm. Phys. Commun. 21: 60-69 (2016) - [j28]S. Hamidreza Kasaei
GOOD: A global orthographic object descriptor for 3D object recognition and manipulation. Pattern Recognit. Lett. 83: 312-320 (2016) - [j27]Miguel Oliveira
3D object perception and perceptual learning in the RACE project. Robotics Auton. Syst. 75: 614-626 (2016) - [c57]S. Hamidreza Kasaei, Luís Seabra Lopes
Concurrent 3D Object Category Learning and Recognition Based on Topic Modelling and Human Feedback. ICARSC 2016: 329-334 - [c56]S. Hamidreza Kasaei, Luís Seabra Lopes
An orthographic descriptor for 3D object learning and recognition. IROS 2016: 4158-4163 - [c55]Seyed Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes:
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition. NIPS 2016: 1948-1956 - [c54]S. Hamidreza Kasaei, Nima Shafii, Luís Seabra Lopes
Object Learning and Grasping Capabilities for Robotic Home Assistants. RoboCup 2016: 279-293 - 2015
- [j26]S. Hamidreza Kasaei, Miguel Oliveira
Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments. J. Intell. Robotic Syst. 80(3-4): 537-553 (2015) - [j25]Ana Maria Tomé
A logistic non-negative matrix factorization approach to binary data sets. Multidimens. Syst. Signal Process. 26(1): 125-143 (2015) - [c53]Daniel Malafaia, José M. N. Vieira, Ana Maria Tomé:
Improving Performance of Bio-radars for Remote Heartbeat and Breathing Detection by using Cyclostationary Features. BIOSIGNALS 2015: 344-349 - [c52]Esteve Gallego-Jutglà, Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé, Elmar Wolfgang Lang, Jordi Solé-Casals:
Face Recognition by Fast and Stable Bi-dimensional Empirical Mode Decomposition. BIOSIGNALS 2015: 385-391 - [c51]Antonio R. Hidalgo-Muñoz
Empirical mode decomposition of multiple ECG leads for catheter ablation long-term outcome prediction in persistent atrial fibrillation. EMBC 2015: 105-108 - [c50]Antonio R. Hidalgo-Muñoz
Empirical mode decomposition for noninvasive atrial fibrillation dominant frequency estimation. EUSIPCO 2015: 2581-2585 - [c49]S. Hamidreza Kasaei, Miguel Oliveira
An Adaptive Object Perception System Based on Environment Exploration and Bayesian Learning. ICARSC 2015: 221-226 - [c48]Miguel Oliveira
Concurrent learning of visual codebooks and object categories in open-ended domains. IROS 2015: 2488-2495 - 2014
- [j24]A. Neubauer, Ana Maria Tomé, Andreas Kodewitz, J. M. Górriz, Carlos García Puntonet, Elmar Wolfgang Lang:
Bidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images. Adv. Data Sci. Adapt. Anal. 6(1) (2014) - [j23]Saad Al-Baddai
Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task. Biomed. Signal Process. Control. 13: 218-236 (2014) - [j22]Torsten Schön, Martin Stetter, Ana Maria Tomé
Physarum Learner: A bio-inspired way of learning structure from data. Expert Syst. Appl. 41(11): 5353-5370 (2014) - [j21]Reinhard Schachtner, Gerhard Pöppel, Ana Maria Tomé
A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection. Neurocomputing 138: 142-156 (2014) - [j20]Antonio R. Hidalgo-Muñoz
EEG study on affective valence elicited by novel and familiar pictures using ERD/ERS and SVM-RFE. Medical Biol. Eng. Comput. 52(2): 149-158 (2014) - [j19]Reinhard Schachtner, Gerhard Pöppel, Ana Maria Tomé
A Bayesian approach to the Lee-Seung update rules for NMF. Pattern Recognit. Lett. 45: 251-256 (2014) - [c47]Krishna Sandeep Reddy Dubba, Miguel Oliveira, Gi Hyun Lim, S. Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé, Anthony G. Cohn:
Grounding Language in Perception for Scene Conceptualization in Autonomous Robots. AAAI Spring Symposia 2014 - [c46]José M. N. Vieira, Ana Maria Tomé, Daniel Malafaia:
Wideband spectrum sensing for Cognitive Radio. EUSIPCO 2014: 596-600 - [c45]S. Hamidreza Kasaei, Miguel Oliveira
An interactive open-ended learning approach for 3D object recognition. ICARSC 2014: 47-52 - [c44]Miguel Oliveira
A perceptual memory system for grounding semantic representations in intelligent service robots. IROS 2014: 2216-2223 - [c43]Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé, Gregor Volberg, Elmar Wolfgang Lang:
Combining EMD with ICA to Analyze Combined EEG-fMRI Data. MIUA 2014: 223-228 - [c42]Gi Hyun Lim
Interactive teaching and experience extraction for learning about objects and robot activities. RO-MAN 2014: 153-160 - 2013
- [j18]Antonio R. Hidalgo-Muñoz
Spectral turbulence measuring as feature extraction method from EEG on affective computing. Biomed. Signal Process. Control. 8(6): 945-950 (2013) - [j17]Antonio R. Hidalgo-Muñoz
Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing. Expert Syst. Appl. 40(6): 2102-2108 (2013) - [j16]Angela Zeiler, Rupert Faltermeier, Ana Maria Tomé
Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series. Neural Process. Lett. 37(1): 21-32 (2013) - [c41]Sebastian Rockel, Bernd Neumann, Jianwei Zhang, Krishna Sandeep Reddy Dubba, Anthony G. Cohn, Stefan Konecny, Masoumeh Mansouri, Federico Pecora, Alessandro Saffiotti, Martin Günther, Sebastian Stock, Joachim Hertzberg, Ana Maria Tomé, Armando J. Pinho, Luís Seabra Lopes, Stephanie von Riegen, Lothar Hotz:
An Ontology-based Multi-level Robot Architecture for Learning from Experiences. AAAI Spring Symposium: Designing Intelligent Robots 2013 - [c40]Ana Maria Tomé, Antonio R. Hidalgo-Muñoz, M. M. López, Ana R. Teixeira, Isabel M. Santos, Ana Teresa Pereira, M. Vázquez-Marrufo, Elmar Wolfgang Lang:
Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals. BIOSIGNALS 2013: 54-60 - [c39]Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang:
A New Physarum Learner for Network Structure Learning from Biomedical Data. BIOSIGNALS 2013: 151-156 - [c38]Antonio R. Hidalgo-Muñoz, Míriam López, Ana Maria Tomé, Ana Teresa Pereira, Isabel M. Santos:
Approach on affective valence detection from EEG signals based on global field power measure and SVM-RFE algorithm. IWBBIO 2013: 163-170 - [c37]Rita Costa Nascimento, Ana Gil
Computer game engines for accessibility assessment: The IST Alameda campus case-study. SeGAH 2013: 1-7 - 2012
- [j15]Elmar Wolfgang Lang, Ana Maria Tomé
Brain Connectivity Analysis: A Short Survey. Comput. Intell. Neurosci. 2012: 412512:1-412512:21 (2012) - 2011
- [j14]Rupert Faltermeier, Angela Zeiler, Ana Maria Tomé, Alexander Brawanski, Elmar Wolfgang Lang:
Weighted sliding Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 3(4): 509-526 (2011) - [j13]Ana R. Teixeira
Unsupervised feature extraction via kernel subspace techniques. Neurocomputing 74(5): 820-830 (2011) - [c36]Angela Zeiler, Rupert Faltermeier, Ana Maria Tomé
Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series. IWANN (1) 2011: 299-306 - [c35]Angela Zeiler, Rupert Faltermeier, Alexander Brawanski, Ana Maria Tomé
Brain Status Data Analysis by Sliding EMD. IWINAC (2) 2011: 77-86 - 2010
- [c34]Andreas Kodewitz, Ingo R. Keck
Exploratory Matrix Factorization for PET Image Analysis. HAIS (1) 2010: 460-467 - [c33]António Ferreira, Carlos Almeida
Advances in EEG-Based Biometry. ICIAR (2) 2010: 287-295 - [c32]Rupert Faltermeier, Angela Zeiler, Ingo R. Keck
Sliding Empirical Mode Decomposition. IJCNN 2010: 1-8 - [c31]Aida Ferreira, Carlos Almeida
Person identification using VEP signals and SVM classifiers. IJCNN 2010: 1-8 - [c30]Angela Zeiler, Rupert Faltermeier, Ingo R. Keck
Brain status data analyzed by Empirical Mode Decomposition. IJCNN 2010: 1-8 - [c29]Angela Zeiler, Rupert Faltermeier, Ingo R. Keck
Empirical Mode Decomposition - an introduction. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j12]Ana R. Teixeira
How to Apply Nonlinear Subspace Techniques to Univariate Biomedical Time Series. IEEE Trans. Instrum. Meas. 58(8): 2433-2443 (2009) - [c28]Ana R. Teixeira
Feature Extraction Using Linear and Non-linear Subspace Techniques. ICANN (2) 2009: 115-124 - [c27]Reinhard Schachtner, Gerhard Pöppel, Ana Maria Tomé
Minimum Determinant Constraint for Non-negative Matrix Factorization. ICA 2009: 106-113 - [c26]Hugo Picado, Marcos Gestal
Automatic Generation of Biped Walk Behavior Using Genetic Algorithms. IWANN (1) 2009: 805-812 - [c25]Volker Fischer, Ana Maria Tomé
Serial Evolution. IWINAC (1) 2009: 233-244 - 2008
- [j11]Reinhard Schachtner, Dominik Lutter
Knowledge-based gene expression classification via matrix factorization. Bioinform. 24(15): 1688-1697 (2008) - [j10]Ana R. Teixeira
KPCA denoising and the pre-image problem revisited. Digit. Signal Process. 18(4): 568-580 (2008) - [j9]Kurt Stadlthanner, Fabian J. Theis
Hybridizing sparse component analysis with genetic algorithms for microarray analysis. Neurocomputing 71(10-12): 2356-2376 (2008) - [c24]Ana R. Teixeira
Feature Extraction Using Low-Rank Approximations of the Kernel Matrix. ICIAR 2008: 404-412 - [c23]Reinhard Schachtner, Dominik Lutter, Ana Maria Tomé
A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis. IWPACBB 2008: 137-146 - 2007
- [c22]Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Juan Manuel Górriz Sáez, Carlos García Puntonet:
Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays. ICA 2007: 649-656 - [c21]Reinhard Schachtner, Dominik Lutter
Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes. ICANN (2) 2007: 80-89 - [c20]Ana R. Teixeira
Greedy KPCA in Biomedical Signal Processing. ICANN (2) 2007: 486-495 - [c19]Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet:
Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints. ICANN (1) 2007: 799-808 - [c18]Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. IJCNN 2007: 294-299 - [c17]Teresa Heitor, Ana Maria Tomé, Paulo Dimas, João Pedro Silva:
Measurability, Representation and Interpretation of Spatial Usage in Knowledge-Sharing Environments - A Descriptive Model Based on WiFi Technologies. BMI 2007: 43-61 - 2006
- [j8]Ana R. Teixeira
Automatic removal of high-amplitude artefacts from single-channel electroencephalograms. Comput. Methods Programs Biomed. 83(2): 125-138 (2006) - [j7]Ana Maria Tomé
The generalized eigendecomposition approach to the blind source separation problem. Digit. Signal Process. 16(3): 288-302 (2006) - [j6]Kurt Stadlthanner, Ana Maria Tomé
Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils. Neurocomputing 69(4-6): 497-522 (2006) - [j5]Peter Gruber, Kurt Stadlthanner, Matthias Böhm, Fabian J. Theis
Denoising using local projective subspace methods. Neurocomputing 69(13-15): 1485-1501 (2006) - [j4]Matthias Böhm, Kurt Stadlthanner, Peter Gruber, Fabian J. Theis
On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation. IEEE Trans. Biomed. Eng. 53(5): 810-820 (2006) - [c16]Ana R. Teixeira, Ana Maria Tomé, Kurt Stadlthanner, Elmar Wolfgang Lang:
Nonlinear projective techniques to extract artifacts in biomedical signals. EUSIPCO 2006: 1-5 - [c15]Kurt Stadlthanner, Fabian J. Theis
Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets. ICA 2006: 254-261 - 2005
- [j3]Ana Maria Tomé
dAMUSE - A new tool for denoising and blind source separation. Digit. Signal Process. 15(4): 400-421 (2005) - [c14]Matthias Böhm, Kurt Stadlthanner, Ana Maria Tomé, Peter Gruber, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang:
AutoAssign - An Automatic Assignment Tool for Independent Components. IbPRIA (2) 2005: 75-82 - [c13]Kurt Stadlthanner, Fabian J. Theis
Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation. ISBMDA 2005: 137-148 - [c12]Matthias Böhm, Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet:
A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA. IWANN 2005: 1075-1082 - 2004
- [c11]Ana R. Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang, Kurt Stadlthanner:
Delayed AMUSE - A Tool for Blind Source Separation and Denoising. ICA 2004: 287-294 - [c10]Peter Gruber, Kurt Stadlthanner, Ana Maria Tomé, Ana R. Teixeira
Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals. ICA 2004: 993-1000 - 2003
- [c9]Kurt Stadlthanner, Ana Maria Tomé
Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils. ISSPA (2) 2003: 85-88 - [c8]Ana Maria Tomé
Approximate diagonalization approach to blind source separation with a subset of matrices. ISSPA (2) 2003: 105-108 - [c7]Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang:
A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra. IWANN (2) 2003: 575-582 - 2002
- [c6]Ana Maria Tomé:
Separation of a mixture of signals using linear filtering and second order statistics. ESANN 2002: 307-312 - [c5]Ana Maria Tomé, Nuno Ferreira:
On-line source separation of temporally correlated signals. EUSIPCO 2002: 1-4 - 2000
- [j2]João Manuel Rodrigues
On the use of backward adaptation in a perceptual audio coder. IEEE Trans. Speech Audio Process. 8(4): 488-490 (2000) - [c4]Ana Maria Tomé:
Blind Source Separation Using a Matrix Pencil. IJCNN (3) 2000: 339-342
1990 – 1999
- 1999
- [c3]Ana Maria Tomé:
The generalized eigen-decomposition approach to blind source problems. IJCNN 1999: 473-476 - 1997
- [c2]Beatriz Sousa Santos, José Nunes, Carlos Coimbra, Carlos Ferreira, Ana Maria Tomé, Nuno Lau:
Quantifying the Objective Quality of Voxel Based Data Visualizations Produced by a Ray Caster: a proposal. IV 1997: 111-117 - 1996
- [c1]João Manuel Rodrigues, Ana Maria Tomé:
A backward-adaptive perceptual audio coder. EUSIPCO 1996: 1-4
1980 – 1989
- 1987
- [j1]Pedro Guedes de Oliveira, José C. Príncipe, Ana Maria Tomé, Antonio Nunes Cruz:
Hidra: A Hierarchical Instrument for Distributed Real-Time Analysis of Biological Signals. IEEE Trans. Biomed. Eng. 34(12): 921-927 (1987)
Coauthor Index
[j40] [j39] [j36] [i4] [c69] [c68] [c65] [i3] [i2] [j34] [j33] [c59] [j32] [j31] [j25] [c52] [j24] [j23] [j22] [j21] [j19] [c43] [j16] [c40] [c39] [j15] [j14] [j13] [c36] [c35] [c34] [c32] [c30] [c29] [j12] [c28] [c27] [c25] [j11] [j10] [j9] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [j8] [j6] [j5] [j4] [c16] [c15] [j3] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7]
Ana R. Teixeira
aka: Ana Rita Teixeira
aka: Ana Rita Teixeira
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