Jaime S. Cardoso

Orcid: 0000-0002-3760-2473

Affiliations:
  • Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal
  • University of Porto, Portugal


According to our database1, Jaime S. Cardoso authored at least 248 papers between 2005 and 2025.

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

Timeline

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Bibliography

2025
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention.
Medical Image Anal., 2025

CNN explanation methods for ordinal regression tasks.
Neurocomputing, 2025

2024
Explaining Bounding Boxes in Deep Object Detectors Using Post Hoc Methods for Autonomous Driving Systems.
Sensors, January, 2024

Anonymizing medical case-based explanations through disentanglement.
Medical Image Anal., 2024

MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition.
CoRR, 2024

Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking.
CoRR, 2024

Learning Ordinality in Semantic Segmentation.
CoRR, 2024

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology.
CoRR, 2024

Space Imaging Point Source Detection and Characterization.
IEEE Access, 2024

Intrinsic Explainability for End-to-End Object Detection.
IEEE Access, 2024

On the Suitability of B-cos Networks for the Medical Domain.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Reproducing Asymmetries Caused by Breast Cancer Treatment in Pre-Operative Breast Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024


2023
Unveiling the performance of video anomaly detection models - A benchmark-based review.
Intell. Syst. Appl., May, 2023

Two-Stage Framework for Faster Semantic Segmentation.
Sensors, March, 2023

Symmetry-based regularization in deep breast cancer screening.
Medical Image Anal., 2023

Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods.
Intell. Syst. Appl., 2023

Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review.
CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

Unimodal Distributions for Ordinal Regression.
CoRR, 2023

A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype.
CoRR, 2023

Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models.
Proceedings of the Advances in Computational Intelligence, 2023

Deep Learning Strategies For Rare Drug Mechanism of Action Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection.
Proceedings of the 31st European Signal Processing Conference, 2023

PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Active Supervision: Human in the Loop.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

YOLOMM - You Only Look Once for Multi-modal Multi-tasking.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

OCT Image Synthesis through Deep Generative Models.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Deep Minutiae Fingerprint Extraction Using Equivariance Priors.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition.
Proceedings of the 22nd International Conference of the Biometrics Special Interest Group, 2023

2022
Electrocardiogram lead conversion from single-lead blindly-segmented signals.
BMC Medical Informatics Decis. Mak., 2022

Tackling unsupervised multi-source domain adaptation with optimism and consistency.
Expert Syst. Appl., 2022

Explainable Biometrics in the Age of Deep Learning.
CoRR, 2022

A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
CoRR, 2022

Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector.
CoRR, 2022

Spiking Neural Networks: A Survey.
IEEE Access, 2022

Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition.
IEEE Access, 2022

Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy.
IEEE Access, 2022

A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?
IEEE Access, 2022

Toward Vehicle Occupant-Invariant Models for Activity Characterization.
IEEE Access, 2022

Myope Models - Are face presentation attack detection models short-sighted?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations.
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Increased Robustness in Chest X-Ray Classification Through Clinical Report-Driven Regularization.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Quality Control in Digital Pathology: Automatic Fragment Detection and Counting.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement.
Proceedings of the 21st International Conference of the Biometrics Special Interest Group, 2022

2021
DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics.
IEEE Trans. Biom. Behav. Identity Sci., 2021

Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process.
Sensors, 2021

Ordinal losses for classification of cervical cancer risk.
PeerJ Comput. Sci., 2021

Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks.
Neural Comput. Appl., 2021

An exploratory study of interpretability for face presentation attack detection.
IET Biom., 2021

A Systematic Survey of ML Datasets for Prime CV Research Areas - Media and Metadata.
Data, 2021

Topological Similarity Index and Loss Function for Blood Vessel Segmentation.
CoRR, 2021

Towards Privacy-preserving Explanations in Medical Image Analysis.
CoRR, 2021

Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis.
IEEE Access, 2021

AUTOMOTIVE: A Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhicles.
IEEE Access, 2021

Mixture-Based Open World Face Recognition.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Embedded Regularization For Classification Of Colposcopic Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Deep Ordinal Focus Assessment for Whole Slide Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021


FocusFace: Multi-task Contrastive Learning for Masked Face Recognition.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

End-to-End Deep Sketch-to-Photo Matching Enforcing Realistic Photo Generation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Optimizing Person Re-Identification Using Generated Attention Masks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition.
Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021

Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls.
IEEE J. Biomed. Health Informatics, 2020

802.11 wireless simulation and anomaly detection using HMM and UBM.
Simul., 2020

Machine Learning Improvements to Human Motion Tracking with IMUs.
Sensors, 2020

Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices.
Comput. Methods Programs Biomed., 2020

Video Summarization through Total Variation, Deep Semi-supervised Autoencoder and Clustering Algorithms.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Interpretability-Guided Content-Based Medical Image Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated?
Proceedings of the 8th International Workshop on Biometrics and Forensics, 2020

Secure Triplet Loss for End-to-End Deep Biometrics.
Proceedings of the 8th International Workshop on Biometrics and Forensics, 2020

Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

Automotive Interior Sensing - Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

Self-Learning with Stochastic Triplet Loss.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Soft Rotation Equivariant Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Background Invariance by Adversarial Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Explaining ECG Biometrics: Is It All In The QRS?
Proceedings of the BIOSIG 2020, 2020

A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning.
Proceedings of the BIOSIG 2020, 2020

Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Sparse Multi-Bending Snakes.
IEEE Trans. Image Process., 2019

Hypothesis transfer learning based on structural model similarity.
Neural Comput. Appl., 2019

On the role of multimodal learning in the recognition of sign language.
Multim. Tools Appl., 2019

Editorial.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Insulator visual non-conformity detection in overhead power distribution lines using deep learning.
Comput. Electr. Eng., 2019

A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

How to produce complementary explanations using an Ensemble Model.
Proceedings of the International Joint Conference on Neural Networks, 2019

SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learning signer-invariant representations with adversarial training.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Automatic Augmentation by Hill Climbing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Don't You Forget About Me: A Study on Long-Term Performance in ECG Biometrics.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Deep Vesselness Measure from Scale-Space Analysis of Hessian Matrix Eigenvalues.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Towards Automatic Rat's Gait Analysis Under Suboptimal Illumination Conditions.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Power Distribution Insulators Classification Using Image Hybrid Deep Learning.
Proceedings of the 27th European Signal Processing Conference, 2019

Quality-based Regularization for Iterative Deep Image Segmentation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Averse Deep Semantic Segmentation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Weight Rotation as a Regularization Strategy in Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication.
Proceedings of the 10th IEEE International Conference on Biometrics Theory, 2019

Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations.
Proceedings of the 2019 International Conference of the Biometrics Special Interest Group, 2019

2018
A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery.
Sensors, 2018

Supervised deep learning embeddings for the prediction of cervical cancer diagnosis.
PeerJ Comput. Sci., 2018

A deep learning approach for the forensic evaluation of sexual assault.
Pattern Anal. Appl., 2018

Binary ranking for ordinal class imbalance.
Pattern Anal. Appl., 2018

Dimensional emotion recognition using visual and textual cues.
CoRR, 2018

1st MICCAI workshop on deep learning in medical image analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Evolution, Current Challenges, and Future Possibilities in ECG Biometrics.
IEEE Access, 2018

Physiological Inspired Deep Neural Networks for Emotion Recognition.
IEEE Access, 2018

Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies.
IEEE Access, 2018

A Class Imbalance Ordinal Method for Alzheimer's Disease Classification.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Towards Complementary Explanations Using Deep Neural Networks.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

A Uniform Performance Index for Ordinal Classification with Imbalanced Classes.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Image Segmentation by Quality Inference.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Ordinal Image Segmentation using Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods.
Proceedings of the 7th European Workshop on Visual Information Processing, 2018

The Challenges of Applying Deep Learning for Hemangioma Lesion Segmentation.
Proceedings of the 7th European Workshop on Visual Information Processing, 2018

Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Are Deep Learning Methods Ready for Prime Time in Fingerprints Minutiae Extraction?
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Robust Clustering-based Segmentation Methods for Fingerprint Recognition.
Proceedings of the 2018 International Conference of the Biometrics Special Interest Group, 2018

Elastic deformations for data augmentation in breast cancer mass detection.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Quality Assessment of Digital Colposcopies.
Dataset, March, 2017

Cervical cancer (Risk Factors).
Dataset, March, 2017

Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination.
Sensors, 2017

Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel.
Sensors, 2017

Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario.
Neural Comput. Appl., 2017

Multi-source deep transfer learning for cross-sensor biometrics.
Neural Comput. Appl., 2017

Foreword to the special issue on pattern recognition and image analysis.
Neural Comput. Appl., 2017

Deep Local Binary Patterns.
CoRR, 2017

Measuring Impedance in Congestive Heart Failure.
Proceedings of the pHealth 2017, 2017

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.
Proceedings of the Advances in Computational Intelligence, 2017

Combining Ranking with Traditional Methods for Ordinal Class Imbalance.
Proceedings of the Advances in Computational Intelligence, 2017

Constraining Type II Error: Building Intentionally Biased Classifiers.
Proceedings of the Advances in Computational Intelligence, 2017

Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multimodal Learning for Sign Language Recognition.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Transfer Learning with Partial Observability Applied to Cervical Cancer Screening.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Ordinal Class Imbalance with Ranking.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

\mu μ SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage.
Proceedings of the Biomedical Engineering Systems and Technologies, 2017

µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 1: BIODEVICES, Porto, 2017

2016
Long-range trajectories from global and local motion representations.
J. Vis. Commun. Image Represent., 2016

Discriminative directional classifiers.
Neurocomputing, 2016

The breast cancer conservative treatment. Cosmetic results - BCCT.core - Software for objective assessment of esthetic outcome in breast cancer conservative treatment: A narrative review.
Comput. Methods Programs Biomed., 2016

A realistic evaluation of iris presentation attack detection.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016


A Comparative Analysis of Deep and Shallow Features for Multimodal Face Recognition in a Novel RGB-D-IR Dataset.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Learning and ensembling lexicographic preference trees with multiple kernels.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Tackling class imbalance with ranking.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Fitting of Breast Data Using Free Form Deformation Technique.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2015
Fingerprint Liveness Detection in the Presence of Capable Intruders.
Sensors, 2015

A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios.
Sensors, 2015

A new optical music recognition system based on combined neural network.
Pattern Recognit. Lett., 2015

Robust classification with reject option using the self-organizing map.
Neural Comput. Appl., 2015

Learning from evolving video streams in a multi-camera scenario.
Mach. Learn., 2015

Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer.
Int. J. Pattern Recognit. Artif. Intell., 2015

The vitality of pattern recognition and image analysis.
Neurocomputing, 2015

Differential scorecards for binary and ordinal data.
Intell. Data Anal., 2015

A Comparative Analysis of Two Approaches to Periocular Recognition in Mobile Scenarios.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Video Analysis in Indoor Soccer using a Quadcopter.
Proceedings of the ICPRAM 2015, 2015

oAdaBoost - An AdaBoost Variant for Ordinal Classification.
Proceedings of the ICPRAM 2015, 2015

Social Signaling Descriptor for Group Behaviour Analysis.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Source-Target-Source Classification Using Stacked Denoising Autoencoders.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Temporal Segmentation of Digital Colposcopies.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

A Novel Application of Universal Background Models for Periocular Recognition.
Proceedings of the Biomedical Engineering Systems and Technologies, 2015

Periocular Recognition under Unconstrained Settings with Universal Background Models.
Proceedings of the BIOSIGNALS 2015, 2015

2014
Max-Ordinal Learning.
IEEE Trans. Neural Networks Learn. Syst., 2014

Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Networks 21 (2008) 78-79].
Neural Networks, 2014

Signal transmission model for the substations grounding grid.
Expert Syst. Appl., 2014

Active Mining of Parallel Video Streams.
CoRR, 2014

A 3D low-cost solution for the aesthetic evaluation of breast cancer conservative treatment.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2014

Iris Liveness Detection Methods in Mobile Applications.
Proceedings of the VISAPP 2014, 2014

Context-based trajectory descriptor for human activity profiling.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Outlier detection in 802.11 wireless access points using Hidden Markov Models.
Proceedings of the 7th IFIP Wireless and Mobile Networking Conference, 2014

Iris liveness detection methods in the mobile biometrics scenario.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Active Learning from Video Streams in a Multi-camera Scenario.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A depth-map approach for automatic mice behavior recognition.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

MobILive 2014 - Mobile Iris Liveness Detection Competition.
Proceedings of the IEEE International Joint Conference on Biometrics, Clearwater, 2014

Classification with Reject Option Using the Self-Organizing Map.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

reject option paradigm for the reduction of support vectors.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Using Bayesian surprise to detect calcifications in mammogram images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Fitting of superquadrics for breast modelling by geometric distance minimization.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Normal breast identification in screening mammography: A study on 18 000 images.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Multicriteria Models for Learning Ordinal Data: A Literature Review.
Proceedings of the Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013

Analysis of object description methods in a video object tracking environment.
Mach. Vis. Appl., 2013

The data replication method for the classification with reject option.
AI Commun., 2013

Robust Iris Localisation in Challenging Scenarios.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2013

Robust Iris Segmentation under Unconstrained Settings.
Proceedings of the VISAPP 2013, 2013

Predicting short 802.11 sessions from RADIUS usage data.
Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, Sydney, Australia, October 21-24, 2013, 2013

Global Constraints for Syntactic Consistency in OMR: An Ongoing Approach.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Staff Line Detection and Removal in the Grayscale Domain.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Motion Flow Tracking in Unconstrained Videos for Retail Scenario.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Is Kinect Depth Data Accurate for the Aesthetic Evaluation after Breast Cancer Surgeries?
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Filling the gap in quality assessment of video object tracking.
Image Vis. Comput., 2012

Optical music recognition: state-of-the-art and open issues.
Int. J. Multim. Inf. Retr., 2012

Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Automatic description of object appearances in a wide-area surveillance scenario.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Simultaneous detection of prominent points on breast cancer conservative treatment images.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Measuring the Performance of Ordinal Classification.
Int. J. Pattern Recognit. Artif. Intell., 2011

Surface Reconstruction for Generating Digital Models of Prosthesis.
Proceedings of the VISAPP 2011, 2011

Ensemble of decision trees with global constraints for ordinal classification.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Metric Learning for Music Symbol Recognition.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Max-Coupled Learning: Application to Breast Cancer.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Feature Selection with Complexity Measure in a Quadratic Programming Setting.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Music Score Binarization Based on Domain Knowledge.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

A Shortest Path Approach for Vibrating Line Detection and Tracking.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010
Optical recognition of music symbols - A comparative study.
Int. J. Document Anal. Recognit., 2010

Robust Staffline Thickness and Distance Estimation in Binary and Gray-Level Music Scores.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

An All-at-once Unimodal SVM Approach for Ordinal Classification.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Classification Models with Global Constraints for Ordinal Data.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Partition-distance methods for assessing spatial segmentations of images and videos.
Comput. Vis. Image Underst., 2009

Stable text line detection.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Image Retargeting using Stable Paths.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

An Ordinal Data Method for the Classification with Reject Option.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Breast Contour Detection for the Aesthetic Evaluation of Breast Cancer Conservative Treatment.
Proceedings of the Computer Recognition Systems 2, 2008

The unimodal model for the classification of ordinal data.
Neural Networks, 2008

Automatic System for the Recognition of Amounts in Handwritten Cheques.
Proceedings of the SIGMAP 2008, 2008

Staff Line Detection and Removal with Stable Paths.
Proceedings of the SIGMAP 2008, 2008

Integrated Recognition System for Music Scores.
Proceedings of the 2008 International Computer Music Conference, 2008

Breast contour detection with shape priors.
Proceedings of the International Conference on Image Processing, 2008

A connected path approach for staff detection on a music score.
Proceedings of the International Conference on Image Processing, 2008

Automatic Breast Contour Detection in Digital Photographs.
Proceedings of the First International Conference on Health Informatics, 2008

Breast Contour Detection with Stable Paths.
Proceedings of the Biomedical Engineering Systems and Technologies, 2008

2007
Object Segmentation Using Background Modelling and Cascaded Change Detection.
J. Multim., 2007

Learning to Classify Ordinal Data: The Data Replication Method.
J. Mach. Learn. Res., 2007

Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment.
Artif. Intell. Medicine, 2007

Bandwidth-Efficient Byte Stuffing.
Proceedings of IEEE International Conference on Communications, 2007

2006
A measure for mutual refinements of image segmentations.
IEEE Trans. Image Process., 2006

Classification of Ordinal Data
CoRR, 2006

Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

2005
Toward a generic evaluation of image segmentation.
IEEE Trans. Image Process., 2005

Accumulator size minimization for a fast cumulant-based motion estimator.
IEEE Trans. Circuits Syst. Video Technol., 2005

Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment.
Neural Networks, 2005

Classification of Ordinal Data Using Neural Networks.
Proceedings of the Machine Learning: ECML 2005, 2005


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