Mário A. T. Figueiredo

发表

Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

Robert D. Nowak, José M. Bioucas-Dias, Mário A. T. Figueiredo, 2007, IEEE Transactions on Image Processing.

Synthesis versus analysis in patch-based image priors

Mário A. T. Figueiredo, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Information Theoretic Approach to Text Sentiment Analysis

Mário A. T. Figueiredo, David Pereira Coutinho, 2013, ICPRAM.

Frame-based deconvolution of Poissonian images using alternating direction optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, 2010 IEEE International Conference on Image Processing.

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering

Maks Ovsjanikov, Mário A. T. Figueiredo, Manuele Bicego, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2003, MLDM.

On Gaussian radial basis function approximations: interpretation, extensions, and learning strategies

Mário A. T. Figueiredo, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Efficient unsupervised feature selection for sparse data

Mário A. T. Figueiredo, Artur J. Ferreira, 2011, 2011 IEEE EUROCON - International Conference on Computer as a Tool.

Erratum to: A MAP Approach to Evidence Accumulation Clustering

Ana L. N. Fred, Marcello Pelillo, Mário A. T. Figueiredo, 2015 .

A sequential pruning strategy for the selection of the number of states in hidden Markov models

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2003, Pattern Recognit. Lett..

Signal restoration with overcomplete wavelet transforms: comparison of analysis and synthesis priors

Mário A. T. Figueiredo, Ivan W. Selesnick, I. Selesnick, 2009, Optical Engineering + Applications.

2D Shape Recognition Using Information Theoretic Kernels

André F. T. Martins, Mário A. T. Figueiredo, Manuele Bicego, 2010, 2010 20th International Conference on Pattern Recognition.

Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2014, Neurocomputing.

Image restoration with locally selected class-adapted models

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Unsupervised progressive parsing of Poisson fields using minimum description length criteria

Robert D. Nowak, Mário A. T. Figueiredo, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Introduction to the Issue on Compressive Sensing

Yonina C. Eldar, Richard G. Baraniuk, Mário A. T. Figueiredo, 2010, IEEE J. Sel. Top. Signal Process..

Maximum-a-posteriori estimation with unknown regularisation parameters

José M. Bioucas-Dias, Mário A. T. Figueiredo, Marcelo Pereyra, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Ana L. N. Fred, Marcello Pelillo, Mário A. T. Figueiredo, 2013, Similarity-Based Pattern Analysis and Recognition.

Wavelet-based adaptive image deconvolution

Robert D. Nowak, Mário A. T. Figueiredo, R. Nowak, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Bayesian wavelet-based image estimation using noninformative priors

Mário A. T. Figueiredo, Robert Nowak, R. Nowak, 1999, Optics & Photonics.

Feature Selection in Mixture-Based Clustering

Anil K. Jain, Mário A. T. Figueiredo, Martin H. C. Law, 2002, NIPS.

The Ordered Weighted ℓ1 Norm: Atomic Formulation, Dual Norm, and Projections pdf

Mário A. T. Figueiredo, Xiangrong Zeng, 2014, ArXiv.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Josiane Zerubia, Mário A. T. Figueiredo, Anand Rangarajan, 1997, Lecture Notes in Computer Science.

Information Theoretic Text Classification Using the Ziv-Merhav Method

Mário A. T. Figueiredo, David Pereira Coutinho, D. Coutinho, 2005, IbPRIA.

Inferring Network Structure from Co-Occurrences

Robert D. Nowak, Mário A. T. Figueiredo, Michael G. Rabbat, 2006, NIPS.

On the Combination of Information-Theoretic Kernels with Generative Embeddings

André F. T. Martins, Mário A. T. Figueiredo, Alessandro Perina, 2013, Similarity-Based Pattern Analysis and Recognition.

Image Restoration Using Conditional Random Fields and Scale Mixtures of Gaussians pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Milad Niknejad, 2018, ArXiv.

Nonextensive Generalizations of the Jensen-Shannon Divergence pdf

André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, 2008, ArXiv.

Alternating Directions Dual Decomposition pdf

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2012, ArXiv.

Moving horizon estimation of pedestrian interactions using multiple velocity fields

Mário A. T. Figueiredo, Jorge S. Marques, João Miranda Lemos, 2015, Signal Image Video Process..

Spectral unmixing via minimum volume simplices: Application to near infrared spectra of counterfeit tablets

José M. Bioucas-Dias, Mário A. T. Figueiredo, Marta B. Lopes, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Unsupervised Joint Feature Discretization and Selection

Mário A. T. Figueiredo, Artur J. Ferreira, 2011, IbPRIA.

Efficient feature selection filters for high-dimensional data

Mário A. T. Figueiredo, Artur J. Ferreira, 2012, Pattern Recognit. Lett..

Dual Decomposition with Many Overlapping Components

Noah A. Smith, André F. T. Martins, Mário A. T. Figueiredo, 2011, EMNLP.

Genomic Network Tomography

Robert D. Nowak, Mário A. T. Figueiredo, Michael G. Rabbat, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Plug-and-play approach to class-adapted blind image deblurring

Mário A. T. Figueiredo, Marina Ljubenovic, 2019, International Journal on Document Analysis and Recognition (IJDAR).

Activity Recognition Using a Mixture of Vector Fields

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2013, IEEE Transactions on Image Processing.

End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders

Pedro Tomás, Mário A. T. Figueiredo, Helena Aidos, 2020, 2020 IEEE Workshop on Signal Processing Systems (SiPS).

Adaptive Consensus ADMM for Distributed Optimization pdf

Zheng Xu, Xiaoming Yuan, Tom Goldstein, 2017, ICML.

Trajectory Analysis Using Switched Motion Fields: A Parametric Approach

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2011, IbPRIA.

RECENT ADVANCES IN ITERATIVE SHRINKAGE/THRESHOLDING

Mário A. T. Figueiredo, Jose M. Bioucas-Dias, 2009 .

Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2007, 2007 IEEE International Conference on Image Processing.

Feature Discretization with Relevance and Mutual Information Criteria

Mário A. T. Figueiredo, Artur J. Ferreira, 2013, ICPRAM.

Personal Identification and Authentication based on One-lead ECG using Ziv-Merhav Cross Parsing

Ana L. N. Fred, Mário A. T. Figueiredo, David Pereira Coutinho, 2010, PRIS.

ECG-based Continuous Authentication System using Adaptive String Matching

Ana L. N. Fred, Mário A. T. Figueiredo, David Pereira Coutinho, 2011, BIOSIGNALS.

Turbo Parsers: Dependency Parsing by Approximate Variational Inference

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2010, EMNLP.

Nonextensive Information Theoretic Kernels on Measures

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2009, J. Mach. Learn. Res..

Adaptive total variation image deconvolution: A majorization-minimization approach

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2006, 2006 14th European Signal Processing Conference.

Unsupervised contour representation and estimation using B-splines and a minimum description length criterion

José M. N. Leitão, Anil K. Jain, Mário A. T. Figueiredo, 2000, IEEE Trans. Image Process..

Shape-based Trajectory Clustering

Mário A. T. Figueiredo, Telmo J. P. Pires, 2017, ICPRAM.

Algorithms for imaging inverse problems under sparsity regularization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP).

Single-frame Image Denoising and Inpainting Using Gaussian Mixtures

Mário A. T. Figueiredo, Mariana S. C. Almeida, Afonso M. Teodoro, 2015, ICPRAM.

On the use of independent component analysis for image compression

Mário A. T. Figueiredo, Artur J. Ferreira, 2006, Signal Process. Image Commun..

Unsupervised feature selection for sparse data

Mário A. T. Figueiredo, Artur J. Ferreira, 2011, ESANN.

An augmented Lagrangian approach to linear inverse problems with compound regularization

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2010, 2010 IEEE International Conference on Image Processing.

Restoration of Poissonian Images Using Alternating Direction Optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, IEEE Transactions on Image Processing.

Class-adapted image compression using independent component analysis

Mário A. T. Figueiredo, Artur J. Ferreira, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

An Empirical Study of ADMM for Nonconvex Problems pdf

Zheng Xu, Tom Goldstein, Mário A. T. Figueiredo, 2016, ArXiv.

A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2009, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Network Inference From Co-Occurrences

Robert D. Nowak, Mário A. T. Figueiredo, Michael G. Rabbat, 2006, IEEE Transactions on Information Theory.

Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting

Mário A. T. Figueiredo, Jose M. Bioucas-Dias, Afonso M. Teodoro, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Simultaneously selecting categorical features and the number of clusters

Mário A. T. Figueiredo, Margarida G. M. S. Cardoso, Cláudia Marisa Vasconcelos Silvestre, 2011 .

Augmenting Dual Decomposition for MAP Inference

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2010 .

Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2009, IEEE Transactions on Image Processing.

Image compression using orthogonalized independent components bases

Mário A. T. Figueiredo, Artur J. Ferreira, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

One-Lead ECG-based Personal Identification Using Ziv-Merhav Cross Parsing

Ana L. N. Fred, Mário A. T. Figueiredo, David Pereira Coutinho, 2010, 2010 20th International Conference on Pattern Recognition.

Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2007, 2007 IEEE International Conference on Image Processing.

Adaptive ADMM with Spectral Penalty Parameter Selection

Zheng Xu, Mário A. T. Figueiredo, Thomas Goldstein, 2016, AISTATS.

COMPRESSED LEARNING FOR TEXT CATEGORIZATION

Mário A. T. Figueiredo, Artur J. Ferreira, 2013 .

Solving OSCAR regularization problems by proximal splitting algorithms pdf

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2013, ArXiv.

A velocity field approach to the detection of pedestrian interactions

Mário A. T. Figueiredo, Jorge S. Marques, João Miranda Lemos, 2013, 21st Mediterranean Conference on Control and Automation.

Hybrid generative/discriminative training of radial basis function networks

Mário A. T. Figueiredo, Artur J. Ferreira, 2006, ESANN.

Bayesian image segmentation using wavelet-based priors

Mário A. T. Figueiredo, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Feature selection for clustering categorical data with an embedded modelling approach

Mário A. T. Figueiredo, Margarida G. M. S. Cardoso, Cláudia M. V. Silvestre, 2015, Expert Syst. J. Knowl. Eng..

Poisson Image Denoising Using Best Linear Prediction: a Post-Processing Framework

Mário A. T. Figueiredo, Milad Niknejad, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Robust binary fused compressive sensing using adaptive outlier pursuit

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian estimation of ventricular contours in angiographic images

Mário A. T. Figueiredo, José M. N. Leitão, J. Leitão, 1992, IEEE Trans. Medical Imaging.

An unsupervised approach to feature discretization and selection

Mário A. T. Figueiredo, Artur J. Ferreira, 2012, Pattern Recognit..

Probabilistic consensus clustering using evidence accumulation

Ana L. N. Fred, Marcello Pelillo, Mário A. T. Figueiredo, 2013, Machine Learning.

Unsupervised selection and estimation of finite mixture models

Anil K. Jain, Mário A. T. Figueiredo, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005 (ACCEPTED) 1 Orientation in Manhattan: Equiprojective Classes and Sequential Estimation

André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, 2022 .

Image super-segmentation: Segmentation with multiple labels from shuffled observations

Mário A. T. Figueiredo, Jorge S. Marques, 2011, 2011 18th IEEE International Conference on Image Processing.

Class-specific poisson denoising by patch-based importance sampling

José M. Bioucas-Dias, Mário A. T. Figueiredo, Milad Niknejad, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Sparse reconstruction by separable approximation

Stephen J. Wright, Mário A. T. Figueiredo, Robert Nowak, 2009, IEEE Trans. Signal Process..

Bayesian image segmentation using hidden fields: Supervised, unsupervised, and semi-supervised formulations

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Image restoration and reconstruction using variable splitting and class-adapted image priors

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Unsupervised learning of motion patterns using generative models

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2008, 2008 15th IEEE International Conference on Image Processing.

Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning

Mário A. T. Figueiredo, Dejiao Zhang, Laura Balzano, 2018, ICLR.

Trajectory Classification Using Switched Dynamical Hidden Markov Models

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2010, IEEE Transactions on Image Processing.

Image classification for content-based indexing

Anil K. Jain, Aditya Vailaya, Mário A. T. Figueiredo, 2001, IEEE Trans. Image Process..

Adaptive Sparseness for Supervised Learning

Mário A. T. Figueiredo, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Scene-Adapted plug-and-play algorithm with convergence guarantees

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Clustering via binary embedding

Mário A. T. Figueiredo, Manuele Bicego, M. Bicego, 2018, Pattern Recognit..

Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Combining information theoretic kernels with generative embeddings for classification

André F. T. Martins, Mário A. T. Figueiredo, Alessandro Perina, 2013, Neurocomputing.

Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation pdf

Mário A. T. Figueiredo, Arlindo L. Oliveira, Miguel Monteiro, 2018, ArXiv.

Online Learning of Structured Predictors with Multiple Kernels

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2011, AISTATS.

Automatic contour estimation in fetal ultrasound images

Mário A. T. Figueiredo, Sandra V. B. Jardim, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

LEMPEL-ZIV SLIDING WINDOW UPDATE WITH SUFFIX ARRAYS

Mário A. T. Figueiredo, Arlindo L. Oliveira, Artur J. Ferreira, 2013 .

A novel sparsity and clustering regularization pdf

Mário A. T. Figueiredo, Xiangrong Zeng, 2013, ArXiv.

Navigating in Manhattan: 3D orientation from video without correspondences

André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Hyperspectral Sharpening using Scene-adapted Gaussian Mixture Priors pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, ArXiv.

Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition

Josiane Zerubia, Edwin R. Hancock, Marcello Pelillo, 2004, IEEE Trans. Pattern Anal. Mach. Intell..

Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, EMMCVPR.

Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2014, IEEE Transactions on Image Processing.

A MAP Approach to Evidence Accumulation Clustering

Ana L. N. Fred, Marcello Pelillo, Mário A. T. Figueiredo, 2013, ICPRAM.

Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets

José M. Bioucas-Dias, Mário A. T. Figueiredo, Marta B. Lopes, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

The atomic norm formulation of OSCAR regularization with application to the Frank-Wolfe algorithm

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Time and Memory Efficient Lempel-Ziv Compression Using Suffix Arrays pdf

Mário A. T. Figueiredo, Artur J. Ferreira, Arlindo L. Oliveira, 2009, ArXiv.

Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2011, 2011 18th IEEE International Conference on Image Processing.

Coding theoretic approach to segmentation and robust CFAR-detection for ladar images

Richard G. Baraniuk, Mário A. T. Figueiredo, Robert Nowak, 2001, SPIE Defense + Commercial Sensing.

On the Use of ADMM for Imaging Inverse Problems: the Pros and Cons of Matrix Inversions

Mário A. T. Figueiredo, 2019 .

Simulated tearing: an algorithm for discontinuity-preserving visual surface reconstruction

José M. N. Leitão, Mário A. T. Figueiredo, J. Leitão, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

A Bayesian approach to joint feature selection and classifier design

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Total variation restoration of speckled images using a split-bregman algorithm

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Nonextensive entropic kernels

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2008, ICML '08.

Unsupervised SAR image segmentation using recursive partitioning

Richard G. Baraniuk, Mário A. T. Figueiredo, Robert Nowak, 2000, SPIE Defense + Commercial Sensing.

Model Selection in Discrete Clustering: The EM-MML Algorithm

Mário A. T. Figueiredo, Margarida G. M. S. Cardoso, Cláudia Marisa Vasconcelos Silvestre, 2016 .

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2004, Pattern Recognit..

Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects

Robert D. Nowak, Mário A. T. Figueiredo, R. Nowak, 2016, AISTATS.

A bound optimization approach to wavelet-based image deconvolution

Robert D. Nowak, Mário A. T. Figueiredo, R. Nowak, 2005, IEEE International Conference on Image Processing 2005.

Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems

Ana L. N. Fred, Hugo Silva, Mário A. T. Figueiredo, 2013, IET Biom..

Selecting Categorical Features in Model-based Clustering

Mário A. T. Figueiredo, Cláudia M. V. Silvestre, Margarida M. G. S. Cardoso, 2009, KDIR.

Coding theoretic approach to image segmentation

Robert D. Nowak, Mário A. T. Figueiredo, Unoma Ndili, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Unsupervised contour estimation

José M. N. Leitão, Mário A. T. Figueiredo, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2007, IEEE Transactions on Image Processing.

Tsallis kernels on measures

André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, 2008, 2008 IEEE Information Theory Workshop.

Iterative Imputation of Missing Data Using Auto-Encoder Dynamics

Mário A. T. Figueiredo, Marek Smieja, Lukasz Struski, 2020, ICONIP.

An Incremental Bit Allocation Strategy for Supervised Feature Discretization

Mário A. T. Figueiredo, Artur J. Ferreira, 2013, IbPRIA.

Independent increment processes for human motion recognition

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2008, Comput. Vis. Image Underst..

On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression

Mário A. T. Figueiredo, Artur J. Ferreira, Arlindo L. Oliveira, 2009, 2009 Data Compression Conference.

Decreasing Weighted Sorted ℓ1 Regularization pdf

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, ArXiv.

On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising

Robert D. Nowak, José M. Bioucas-Dias, Mário A. T. Figueiredo, 2006, 2006 International Conference on Image Processing.

Relevance and Mutual Information-based Feature Discretization

Mário A. T. Figueiredo, Artur J. Ferreira, 2013, ICPRAM.

Unsupervised Learning of Finite Mixture Models

Anil K. Jain, Mário A. T. Figueiredo, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Aggressive Online Learning of Structured Classifiers

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2010 .

An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2009, IEEE Transactions on Image Processing.

Sharpening Hyperspectral Images Using Plug-and-Play Priors

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, LVA/ICA.

Can auto-encoders help with filling missing data?

Mário A. T. Figueiredo, Marek Śmieja, Mateusz Juda, 2020, ICLR 2020.

Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels

André F. T. Martins, Mário A. T. Figueiredo, Manuele Bicego, 2011, PRIB.

Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition

Josiane Zerubia, Mário A. T. Figueiredo, Anil K. Jain, 2001 .

Semi-Supervised Classification

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2004, Encyclopedia of Database Systems.

A Feature Selection Wrapper for Mixtures

Anil K. Jain, Mário A. T. Figueiredo, Martin H. C. Law, 2003, IbPRIA.

Non-cyclic deconvolution using an augmented lagrangian method

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2011, 2011 IEEE EUROCON - International Conference on Computer as a Tool.

Deconvolving Images With Unknown Boundaries Using the Alternating Direction Method of Multipliers

Mário A. T. Figueiredo, Mariana S. C. Almeida, 2012, IEEE Transactions on Image Processing.

On Fitting Mixture Models

José M. N. Leitão, Anil K. Jain, Mário A. T. Figueiredo, 1999, EMMCVPR.

Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields

Mário A. T. Figueiredo, Jorge S. Marques, João Miranda Lemos, 2013, ISVC.

Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing

Mário A. T. Figueiredo, Lina Zhuang, Jose M. Bioucas-Dias, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised segmentation of Poisson data

Robert D. Nowak, Mário A. T. Figueiredo, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Bayesian Image Segmentation Using Gaussian Field Priors

Mário A. T. Figueiredo, 2005, EMMCVPR.

Probabilistic Evidence Accumulation for Clustering Ensembles

Ana L. N. Fred, Marcello Pelillo, Mário A. T. Figueiredo, 2013, ICPRAM.

Blind image deblurring with unknown boundaries using the alternating direction method of multipliers

Mário A. T. Figueiredo, Mariana S. C. Almeida, 2013, 2013 IEEE International Conference on Image Processing.

Discriminative model selection for object motion recognition

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2010, 2010 IEEE International Conference on Image Processing.

Fast Image Recovery Using Variable Splitting and Constrained Optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2009, IEEE Transactions on Image Processing.

Signal and Image Restoration Using a Standard Hopfield Neural Network

José M. N. Leitão, Mário A. T. Figueiredo, J. Leitão, 1993 .

Boosting Algorithms: A Review of Methods, Theory, and Applications

Mário A. T. Figueiredo, Artur J. Ferreira, Artur J. Ferreira, 2012 .

Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications

Noah A. Smith, André F. T. Martins, Mário A. T. Figueiredo, 2012, NAACL.

Robust sparsity and clustering regularization for regression

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Restoring STM images via Sparse Coding: noise and artifact removal pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Jorge Morgado, 2016, ArXiv.

Trajectory Modeling Using Mixtures of Vector Fields

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2009, IbPRIA.

Feature Transformation and Reduction for Text Classification

Mário A. T. Figueiredo, Artur J. Ferreira, 2010, PRIS.

On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression

Mário A. T. Figueiredo, Artur J. Ferreira, Arlindo L. Oliveira, 2008, ICETE.

Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition

Josiane Zerubia, Edwin R. Hancock, Marcello Pelillo, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Towards a classification approach using meta-biclustering: impact of discretization in the analysis of expression time series.

Mário A. T. Figueiredo, Artur J. Ferreira, Sara C. Madeira, 2012, Journal of integrative bioinformatics.

Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria

Agostinho C. Rosa, Mário A. T. Figueiredo, Nuno Fachada, 2014, Pattern Recognit. Lett..

Adaptive B-splines and boundary estimation

José M. N. Leitão, Anil K. Jain, Mário A. T. Figueiredo, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Coding-theoretic approach to SAR image segmentation

Richard G. Baraniuk, Mário A. T. Figueiredo, Robert Nowak, 2001, SPIE Defense + Commercial Sensing.

Sequential and parallel image restoration: neural network implementations

José M. N. Leitão, Mário A. T. Figueiredo, J. Leitão, 1994, IEEE Trans. Image Process..

Binary Fused Compressive Sensing: 1-Bit Compressive Sensing meets Group Sparsity pdf

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, ArXiv.

Spike and slab biclustering

Mário A. T. Figueiredo, Manuele Bicego, Alessandro Farinelli, 2017, Pattern Recognit..

Semi-Supervised Clustering: Application to Image Segmentation

Mário A. T. Figueiredo, 2006, GfKl.

A nonsmoothing approach to the estimation of vessel contours in angiograms

José M. N. Leitão, Mário A. T. Figueiredo, 1995, IEEE Trans. Medical Imaging.

Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior

Robert D. Nowak, Mário A. T. Figueiredo, R. Nowak, 2001, IEEE Trans. Image Process..

Categorical features selection for model based clustering

Mário A. T. Figueiredo, Margarida G. M. S. Cardoso, Cláudia Marisa Vasconcelos Silvestre, 2009 .

Blind Estimation of Motion Blur Parameters for Image Deconvolution

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2007, IbPRIA.

Learning Structured Classifiers with Dual Coordinate Ascent

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2010 .

Structured Sparsity in Structured Prediction

Noah A. Smith, André F. T. Martins, Mário A. T. Figueiredo, 2011, EMNLP.

Consensus Clustering Using Partial Evidence Accumulation

Ana L. N. Fred, Marcello Pelillo, Mário A. T. Figueiredo, 2013, IbPRIA.

Decreasing Weighted Sorted ${\ell_1}$ Regularization

Mário A. T. Figueiredo, Xiangrong Zeng, 2014, IEEE Signal Processing Letters.

Content-based hierarchical classification of vacation images

Anil K. Jain, Aditya Vailaya, Mário A. T. Figueiredo, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Class-specific image denoising using importance sampling

José M. Bioucas-Dias, Mário A. T. Figueiredo, Milad Niknejad, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Bayesian framework for semantic classification of outdoor vacation images

Anil K. Jain, Aditya Vailaya, Mário A. T. Figueiredo, 1998, Electronic Imaging.

On the Role of Sparse and Redundant Representations in Image Processing

Michael Elad, Yi Ma, Mário A. T. Figueiredo, 2010, Proceedings of the IEEE.

An iterative algorithm for linear inverse problems with compound regularizers

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2008, 2008 15th IEEE International Conference on Image Processing.

Clustering Under Prior Knowledge with Application to Image Segmentation

Mário A. T. Figueiredo, Vittorio Murino, Dong Seon Cheng, 2006, NIPS.

External Patch-Based Image Restoration Using Importance Sampling

Mário A. T. Figueiredo, Milad Niknejad, José Bioucas-Dias, 2019, IEEE Transactions on Image Processing.

Adaptive Parametrically Deformable Contours

José M. N. Leitão, Anil K. Jain, Mário A. T. Figueiredo, 1997, EMMCVPR.

Adaptive Sparseness Using Jeffreys Prior

Mário A. T. Figueiredo, 2001, NIPS.

Semi-Supervised and Active Learning

Mário A. T. Figueiredo, 2007, PRIS.

Adaptive discontinuity location in image restoration

José M. N. Leitão, Mário A. T. Figueiredo, 1994, Proceedings of 1st International Conference on Image Processing.

Cosegmentation for Image Sequences

Mário A. T. Figueiredo, Dong Seon Cheng, D. Cheng, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2012, ICPRAM.

Information Theoretic Text Classification Methods Evaluation

Mário A. T. Figueiredo, David Pereira Coutinho, 2008, PRIS.

Interferometric image reconstruction as a nonlinear Bayesian estimation problem

José M. N. Leitão, Mário A. T. Figueiredo, 1995, Proceedings., International Conference on Image Processing.

Class-Adapted Blind Deblurring of Document Images

Mário A. T. Figueiredo, Lina Zhuang, Marina Ljubenovic, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Exploiting the Bin-Class Histograms for Feature Selection on Discrete Data

Mário A. T. Figueiredo, Artur J. Ferreira, 2015, IbPRIA.

Exploiting Two-Dimensional Group Sparsity in 1-Bit Compressive Sensing pdf

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, ArXiv.

Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing

Alfred O. Hero, Chin-Hui Lee, Robert D. Nowak, 2004, IEEE Trans. Signal Process..

Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding

Mário A. T. Figueiredo, Jorge S. Marques, Catarina Barata, 2017, IbPRIA.

Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures

Mário A. T. Figueiredo, Mariana S. C. Almeida, 2013, IEEE Transactions on Image Processing.

Group-sparse matrix recovery

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Combining free energy score spaces with information theoretic kernels: Application to scene classification

André F. T. Martins, Mário A. T. Figueiredo, Alessandro Perina, 2010, 2010 IEEE International Conference on Image Processing.

A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2019, IEEE Transactions on Image Processing.

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation

Zheng Xu, Xiaoming Yuan, Tom Goldstein, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Teaching a new trick to an old dog: Revisiting the quadratic programming formulation of sparse recovery using ADMM

Mário A. T. Figueiredo, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On-Line Classification of Human Activities

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2007, IbPRIA.

Feature Discretization and Selection in Microarray Data

Mário A. T. Figueiredo, Artur J. Ferreira, 2011, KDIR.

Defect Detection in Textile Images Using Gabor Filters

Mário A. T. Figueiredo, Céu L. Beirão, 2004, ICIAR.

Enhancing multimodal silent speech interfaces with feature selection

António J. S. Teixeira, Mário A. T. Figueiredo, José Miguel Salles Dias, 2014, INTERSPEECH.

Automatic Detection and Segmentation of Lung Lesions using Deep Residual CNNs

Mário A. T. Figueiredo, Nickolas Papanikolaou, João B. S. Carvalho, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

Clustering and Selecting Categorical Features

Mário A. T. Figueiredo, Cláudia M. V. Silvestre, Margarida M. G. S. Cardoso, 2013, EPIA.

Trajectory analysis in natural images using mixtures of vector fields

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Adaptive total variation image deblurring: A majorization-minimization approach

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2009, Signal Process..

Image restoration under wavelet-domain priors: an expectation-maximization approach

Robert D. Nowak, Mário A. T. Figueiredo, 2002, Proceedings. International Conference on Image Processing.

Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence: Applications to Data Fusion in Imaging pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2018, ArXiv.

Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters

Mário A. T. Figueiredo, Artur J. Ferreira, Sara C. Madeira, 2012, PACBB.

Bayesian learning of sparse classifiers

Anil K. Jain, Mário A. T. Figueiredo, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Incremental filter and wrapper approaches for feature discretization

Mário A. T. Figueiredo, Artur J. Ferreira, 2014, Neurocomputing.

Absolute phase image reconstruction: a stochastic nonlinear filtering approach

José M. N. Leitão, Mário A. T. Figueiredo, J. Leitão, 1998, IEEE Trans. Image Process..

Frame-based image deblurring with unknown boundary conditions using the alternating direction method of multipliers

Mário A. T. Figueiredo, Mariana S. C. Almeida, 2013, 2013 IEEE International Conference on Image Processing.

Alternating Direction Optimization for Imaging and Machine Learning Problems

Mário A. T. Figueiredo, 2013, ICPRAM.

A Dynamic Wrapper Method for Feature Discretization and Selection

Mário A. T. Figueiredo, Artur J. Ferreira, 2012, ICPRAM.

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization

Mário A. T. Figueiredo, Dejiao Zhang, Laura Balzano, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Image Restoration and Reconstruction using Targeted Plug-and-Play Priors

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2019, IEEE Transactions on Computational Imaging.

Segmentation and Classification of Human Activities

Mário A. T. Figueiredo, Jorge S. Marques, 2005 .

An EM algorithm for wavelet-based image restoration

Robert D. Nowak, Mário A. T. Figueiredo, R. Nowak, 2003, IEEE Trans. Image Process..

Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Sliding Window Update Using Suffix Arrays

Mário A. T. Figueiredo, Artur J. Ferreira, Arlindo L. Oliveira, 2011, 2011 Data Compression Conference.

Blind image deblurring using class-adapted image priors

Mário A. T. Figueiredo, Marina Ljubenovic, Marina Ljubenović, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Recognition of human activities using space dependent switched dynamical models

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2005, IEEE International Conference on Image Processing 2005.

Impulsive Noise Robust Sparse Recovery via Continuous Mixed Norm pdf

Farrokh Marvasti, Hadi Zayyani, Mário A. T. Figueiredo, 2018, ArXiv.

Suffix Arrays - A Competitive Choice for Fast Lempel-Ziv Compressions

Mário A. T. Figueiredo, Artur J. Ferreira, Arlindo L. Oliveira, 2008, SIGMAP.

Sparse Reconstruction by Separable Approximation

Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo, 2008, IEEE Transactions on Signal Processing.

Solving OSCAR regularization problems by fast approximate proximal splitting algorithms

Mário A. T. Figueiredo, Xiangrong Zeng, Xiangrong Zeng, 2014, Digit. Signal Process..

A Generative Dyadic Aspect Model for Evidence Accumulation Clustering

Ana L. N. Fred, Mário A. T. Figueiredo, André Lourenço, 2011, SIMBAD.

On Semi-supervised Learning

Mário A. T. Figueiredo, 2006, MRCS.

Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models

André F. T. Martins, Mário A. T. Figueiredo, Manuele Bicego, 2010, SSPR/SPR.

An Augmented Lagrangian Approach to Constrained MAP Inference

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2011, ICML.

Simultaneous feature selection and clustering using mixture models

Anil K. Jain, Mário A. T. Figueiredo, Martin H. C. Law, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Analysis of Fetal Echographic Images

Mário A. T. Figueiredo, Sandra Vilas Boas, 2002 .

Sparse multinomial logistic regression: fast algorithms and generalization bounds

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Soft clustering using weighted one-class support vector machines

Mário A. T. Figueiredo, Manuele Bicego, M. Bicego, 2009, Pattern Recognit..

Classification of complex pedestrian activities from trajectories

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2010, 2010 IEEE International Conference on Image Processing.

Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles

Mário A. T. Figueiredo, Pedro Latorre Carmona, Guillermo Peris-Fajarnés, 2005, ICIAR.

Color identification in dermoscopy images using Gaussian mixture models

Mário A. T. Figueiredo, Jorge S. Marques, Catarina Barata, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Satellite and aerial image deconvolution using an EM method with complex wavelets

Josiane Zerubia, Robert D. Nowak, Mário A. T. Figueiredo, 2002, Proceedings. International Conference on Image Processing.

AD3: alternating directions dual decomposition for MAP inference in graphical models

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2015, J. Mach. Learn. Res..

Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle

José M. N. Leitão, Mário A. T. Figueiredo, J. Leitão, 1997, IEEE Trans. Image Process..

The use of machine learning methods to estimate aboveground biomass of grasslands: A review

Mário A. T. Figueiredo, Ricardo F.M. Teixeira, Tiago Domingos, 2021 .

On the Improvement of Feature Selection Techniques: The Fitness Filter

Mário A. T. Figueiredo, Artur J. Ferreira, 2021, ICPRAM.

Wavelet-Based Image Estimation : An Empirical Bayes Approach Using Jeffreys ’ Noninformative Prior

Mário A. T. Figueiredo, R. Nowak, 2001 .

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

Mário A. T. Figueiredo, S.J. Wright, R.D. Nowak, 2007, IEEE Journal of Selected Topics in Signal Processing.

Fast frame-based image deconvolution using variable splitting and constrained optimization

Mário A. T. Figueiredo, J. Bioucas-Dias, M. Afonso, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Image Restoration Using the EM Algorithm and Wavelet-Based Complexity Regularization

Mário A. T. Figueiredo, R. Nowak, 2002 .

Fast Algorithms and Generalization Bounds

Mário A. T. Figueiredo, L. Carin, B. Krishnapuram, 2005 .

Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization

Mário A. T. Figueiredo, R. Nowak, 2014, 1409.4005.

Notes on the EM Algorithm

Mário A. T. Figueiredo, 2004 .

Adaptive Sparse Regression

Mário A. T. Figueiredo, 2003 .

An EM Algorithm for Joint Feature Selection and Classifier Design 1

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2003 .

Active Learning of Features and Labels

Mário A. T. Figueiredo, Balaji Krishnapuram, Alexander J. Hartemink, 2005 .

March 1 , 2010 DRAFT Learning Structured Classifiers with Dual Coordinate Descent

André F. T. Martins, Mário A. T. Figueiredo, Noah A. Smith, 2010 .

Supplementary Material for Adaptive Relaxed ADMM

Mário A. T. Figueiredo, Xiaoming Yuan, Zheng Xu, 2017 .

Class-Adapted Blind Image Deblurring

Mário A. T. Figueiredo, Marina Ljubenović, 2017 .

New stopping criteria for iterative blind image deblurring based on residual whiteness measures

Mário A. T. Figueiredo, Mariana S. C. Almeida, Mario A. T. Figueiredo, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Adaptive Total Variation Image Deconvolution : Application to Magnetic Resonance Imaging

Mário A. T. Figueiredo, J. Bioucas-Dias, J. Oliveira, 2009 .

Statistical Learning Course-Final Project

Mário A. T. Figueiredo, 2018 .

Algorithms for Imaging Inverse Problems Under Sparsity and Structured Sparsity Regularization .

Mário A. T. Figueiredo, J. Bioucas-Dias, 2012 .

Image Restoration with Compound Regularization Using a Bregman Iterative Algorithm

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2009 .

2 The Origins of Boosting and Adaptive Boosting 3 . 2 . 1 Bootstrapping and Bagging Bootstrapping

Mário A. T. Figueiredo, Artur J. Ferreira, 2011 .

Hybrid Synthesis-Analysis Frame-Based Regularization : A Criterion and an Algorithm

Mário A. T. Figueiredo, Manya V. Afonso, M. Afonso, 2011 .

Sparse‐coding denoising applied to reversible conformational switching of a porphyrin self‐assembled monolayer induced by scanning tunnelling microscopy

Mário A. T. Figueiredo, J. Bioucas-Dias, L. Alcácer, 2018, Journal of microscopy.

Challenges and Promises of Radiomics for Rectal Cancer

Mário A. T. Figueiredo, L. Vanneschi, J. Santinha, 2019, Current Colorectal Cancer Reports.

Adaptive contour estimation with genetic algorithms

Mário A. T. Figueiredo, A. Fred, N. Gracias, 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).

Human-AI Collaboration in Decision-Making: Beyond Learning to Defer

Mário A. T. Figueiredo, P. Bizarro, Pedro Saleiro, 2022, ArXiv.

Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions

Mário A. T. Figueiredo, P. Bizarro, Pedro Saleiro, 2022, ArXiv.

Human-AI Collaboration in Decision-Making: Beyond Learning to Defer

Mário A. T. Figueiredo, P. Bizarro, Pedro Saleiro, 2022, ArXiv.

Improving Generalizability to Out-of-Distribution Data in Radiogenomic Models to Predict IDH Mutation Status in Glioma Patients

Mário A. T. Figueiredo, J. Santinha, Nickolas Papanikolaou, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

ProBoost: a Boosting Method for Probabilistic Classifiers

Mário A. T. Figueiredo, S. S. Mostafa, F. Morgado‐Dias, 2022, ArXiv.

Lecture Notes on Bayesian Estimation and Classification

Mário A. T. Figueiredo, 2004 .

Fast estimation of multiple vector fields: Application to video surveillance

Mário A. T. Figueiredo, Jorge S. Marques, Mario A. T. Figueiredo, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

Control with adaptive Q-learning: A comparison for two classical control problems

Mário A. T. Figueiredo, Miguel Ayala Botto, J. Araújo, 2022, Eng. Appl. Artif. Intell..

Control with adaptive Q-learning pdf

Miguel Ayala Botto, Mário A. T. Figueiredo, M'ario A. T. Figueiredo, 2020, ArXiv.

A biclustering approach based on factor graphs and the max-sum algorithm

Mário A. T. Figueiredo, A. Farinelli, M. A. T. Figueiredo, 2017, Pattern Recognit..

Improving performance and generalizability in radiogenomics: a pilot study for prediction of IDH1/2 mutation status in gliomas with multicentric data

Mário A. T. Figueiredo, João Santinha, Mário Figueiredo, 2021, Journal of medical imaging.

Differentiable Causal Discovery Under Latent Interventions

Mário A. T. Figueiredo, André F. T. Martins, Gonccalo R. A. Faria, 2022, CLeaR.

Text Classification Using Compression-Based Dissimilarity Measures

Mário A. T. Figueiredo, David Pereira Coutinho, Mário A. T. Figueiredo, 2015, Int. J. Pattern Recognit. Artif. Intell..

Probabilistic consensus clustering using evidence accumulation

Mário A. T. Figueiredo, A. Fred, M. Pelillo, 2013, Machine Learning.

TimeSHAP: Explaining Recurrent Models through Sequence Perturbations

Mário A. T. Figueiredo, P. Bizarro, Pedro Saleiro, 2020, KDD.

Variational MIxture of Normalizing Flows

Mário A. T. Figueiredo, M'ario A. T. Figueiredo, Guilherme G. P. Freitas Pires, 2020, ESANN.

Distributed Picard Iteration pdf

Mário A. T. Figueiredo, Joao Xavier, Francisco L. Andrade, 2021, ArXiv.

A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints

Mário A. T. Figueiredo, M'ario A. T. Figueiredo, Lukasz Struski, 2020, Neural Networks.

A multicenter study on radiomic features from T2‐weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics

Mário A. T. Figueiredo, João Santinha, Enrico Cassano, 2020, Magnetic resonance in medicine.

A Step Towards the Explainability of Microarray Data for Cancer Diagnosis with Machine Learning Techniques

Mário A. T. Figueiredo, Artur J. Ferreira, Adara Nogueira, 2022, ICPRAM.

Robust Sparse Recovery in Impulsive Noise via Continuous Mixed Norm

Farrokh Marvasti, Hadi Zayyani, Mário A. T. Figueiredo, 2018, IEEE Signal Processing Letters.

Plug-and-play approach to class-adapted blind image deblurring

Mário A. T. Figueiredo, Marina Ljubenović, 2019, International Journal on Document Analysis and Recognition (IJDAR).

Segmentation of fetal ultrasound images.

Mário A. T. Figueiredo, Sandra V. B. Jardim, Sandra M G V B Jardim, 2005, Ultrasound in medicine & biology.

Online Multiple Kernel Learning for Structured Prediction

Eric P. Xing, Noah A. Smith, André F. T. Martins, 2010, 1010.2770.

Fairness-Aware Data Valuation for Supervised Learning

Mário A. T. Figueiredo, P. Bizarro, Pedro Saleiro, 2023, arXiv.org.

Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction

Mário A. T. Figueiredo, P. Bizarro, Pedro Saleiro, 2022, ArXiv.

A Machine Learning Pipeline for Cancer Detection on Microarray Data: The Role of Feature Discretization and Feature Selection

Mário A. T. Figueiredo, Artur J. Ferreira, Adara Nogueira, 2023, BioMedInformatics.

Probabilistic consensus clustering using evidence accumulation

Mário A. T. Figueiredo, A. Fred, M. Pelillo, 2013, Machine Learning.

Deconvolution of Poissonian images using variable splitting and augmented Lagrangian optimization

Mário A. T. Figueiredo, Jose M. Bioucas-Dias, Mario A. T. Figueiredo, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

An Overview of the Contributions of Jose Manuel Bioucas-Dias to Remote Sensing Image Processing

Mário A. T. Figueiredo, A. Plaza, Jun Li, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Aperture Scanning Fourier Ptychographic Microscopy References and Links

Mário A. T. Figueiredo, Ang, ANG, 2022 .

Distributed Banach–Picard Iteration for Locally Contractive Maps

Mário A. T. Figueiredo, Francisco L. Andrade, M'ario A. T. Figueiredo, 2021, IEEE Transactions on Automatic Control.

Notes on the EM Algorithm

Mário A. T. Figueiredo, 2004 .

Elementos de Teoria da Informação

Mário A. T. Figueiredo, 2007 .

Semi-Supervised Classification

Mário A. T. Figueiredo, L. Carin, A. Hartemink, 2009, Encyclopedia of Database Systems.

Restoration of Poissonian Images Using Alternating Direction Optimization

Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, IEEE Transactions on Image Processing.

Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization

Mário A. T. Figueiredo, J. Bioucas-Dias, 2009, IEEE Transactions on Image Processing.

Image Denoising with Compound Regularization Using a Bregman Iterative Algorithm

Mário A. T. Figueiredo, J. Bioucas-Dias, M. Afonso, 2009 .

Content-Based Image Classification : A Non-Parametric Approach

Mário A. T. Figueiredo, P. Aguiar, Paulo Maia Ferreira, 2010 .

Distributed Banach-Picard Iteration: Application to Distributed Parameter Estimation and PCA

Mário A. T. Figueiredo, J. Xavier, Mário A. T. Figueiredo, 2021, IEEE Transactions on Signal Processing.