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ORCIDJaime S. Cardoso 0001
Jaime dos Santos Cardoso 0001
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- affiliation: Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal
- affiliation: University of Porto, Portugal
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Journal Articles
- 2024
[j76]Luís Fernandes
, João N. D. Fernandes, Mariana Calado, João Ribeiro Pinto, Ricardo Cerqueira, Jaime S. Cardoso:
Intrinsic Explainability for End-to-End Object Detection. IEEE Access 12: 2623-2634 (2024)- [j75]Francisco S. F. Ribeiro, Paulo J. V. Garcia, Miguel Silva, Jaime S. Cardoso:
Space Imaging Point Source Detection and Characterization. IEEE Access 12: 90442-90460 (2024) - [j74]Helena Montenegro, Jaime S. Cardoso:
Anonymizing medical case-based explanations through disentanglement. Medical Image Anal. 95: 103209 (2024) - [j73]Caio Nogueira, Luís Fernandes, João N. D. Fernandes, Jaime S. Cardoso:
Explaining Bounding Boxes in Deep Object Detectors Using Post Hoc Methods for Autonomous Driving Systems. Sensors 24(2): 516 (2024) - 2023
- [j72]Tomé Albuquerque, Luís Rosado, Ricardo P. M. Cruz, Maria João M. Vasconcelos, Tiago Oliveira, Jaime S. Cardoso:
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. Intell. Syst. Appl. 17: 200170 (2023) - [j71]Francisco Caetano, Pedro Carvalho, Jaime S. Cardoso:
Unveiling the performance of video anomaly detection models - A benchmark-based review. Intell. Syst. Appl. 18: 200236 (2023) - [j70]Eduardo Castro, José Costa Pereira, Jaime S. Cardoso:
Symmetry-based regularization in deep breast cancer screening. Medical Image Anal. 83: 102690 (2023) - [j69]Ricardo P. M. Cruz, Diana Teixeira e Silva, Tiago Gonçalves, Diogo Carneiro, Jaime S. Cardoso:
Two-Stage Framework for Faster Semantic Segmentation. Sensors 23(6): 3092 (2023) - 2022
- [j68]Helena Montenegro, Wilson Silva, Alex Gaudio, Matt Fredrikson, Asim Smailagic, Jaime S. Cardoso:
Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy. IEEE Access 10: 28333-28347 (2022) - [j67]João D. Nunes, Marcelo Carvalho, Diogo Carneiro, Jaime S. Cardoso:
Spiking Neural Networks: A Survey. IEEE Access 10: 60738-60764 (2022) - [j66]Pedro C. Neto, João Ribeiro Pinto, Fadi Boutros, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition. IEEE Access 10: 86222-86233 (2022) - [j65]Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso:
A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms? IEEE Access 10: 98909-98935 (2022) - [j64]Leonardo Capozzi, Vítor Barbosa, Carolina Pinto, João Ribeiro Pinto, Américo Pereira, Pedro Carvalho, Jaime S. Cardoso:
Toward Vehicle Occupant-Invariant Models for Activity Characterization. IEEE Access 10: 104215-104225 (2022) - [j63]Diogo Pernes, Jaime S. Cardoso:
Tackling unsupervised multi-source domain adaptation with optimism and consistency. Expert Syst. Appl. 194: 116486 (2022) - [j62]Sofia C. Beco, João Ribeiro Pinto, Jaime S. Cardoso:
Electrocardiogram lead conversion from single-lead blindly-segmented signals. BMC Medical Informatics Decis. Mak. 22(1): 314 (2022) - 2021
- [j61]Helena Montenegro, Wilson Silva, Jaime S. Cardoso:
Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis. IEEE Access 9: 148037-148047 (2021) - [j60]Telma Esteves, João Ribeiro Pinto, Pedro M. Ferreira, Pedro Amaro Costa, Lourenço Abrunhosa Rodrigues, Inês Antunes, Gabriel Lopes, Pedro Gamito, Arnaldo J. Abrantes, Pedro Mendes Jorge, André Lourenço, Ana Filipa Sequeira, Jaime S. Cardoso, Ana Rebelo:
AUTOMOTIVE: A Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhicles. IEEE Access 9: 153678-153700 (2021) - [j59]Helder F. Castro, Jaime S. Cardoso, Maria T. Andrade:
A Systematic Survey of ML Datasets for Prime CV Research Areas - Media and Metadata. Data 6(2): 12 (2021) - [j58]Ana Filipa Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso:
An exploratory study of interpretability for face presentation attack detection. IET Biom. 10(4): 441-455 (2021) - [j57]Anisa Allahdadi, Diogo Pernes, Jaime S. Cardoso, Ricardo Morla:
Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks. Neural Comput. Appl. 33(14): 8777-8794 (2021) - [j56]Tomé Albuquerque, Ricardo P. M. Cruz, Jaime S. Cardoso:
Ordinal losses for classification of cervical cancer risk. PeerJ Comput. Sci. 7: e457 (2021) - [j55]Mohsen Saffari, Mahdi Khodayar, Mohammad Saeed Ebrahimi Saadabadi, Ana Filipa Sequeira, Jaime S. Cardoso:
Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process. Sensors 21(5): 1846 (2021) - [j54]João Ribeiro Pinto, Miguel V. Correia, Jaime S. Cardoso:
Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics. IEEE Trans. Biom. Behav. Identity Sci. 3(2): 180-189 (2021) - [j53]Pedro M. Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso:
DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5830-5845 (2021) - 2020
- [j52]José Martins, Jaime S. Cardoso, Filipe Soares:
Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices. Comput. Methods Programs Biomed. 192: 105341 (2020) - [j51]Pedro Manuel Santos Ribeiro, Ana Clara Matos, Pedro Henrique Santos, Jaime S. Cardoso:
Machine Learning Improvements to Human Motion Tracking with IMUs. Sensors 20(21): 6383 (2020) - [j50]Anisa Allahdadi, Ricardo Morla, Jaime S. Cardoso:
802.11 wireless simulation and anomaly detection using HMM and UBM. Simul. 96(12) (2020) - [j49]Joana Silva, Inês Sousa, Jaime S. Cardoso:
Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls. IEEE J. Biomed. Health Informatics 24(1): 50-56 (2020) - 2019
- [j48]Ricardo Santos Morla, Ricardo P. M. Cruz, André P. Marotta, Rodrigo Pereira Ramos, Eduardo F. Simas Filho, Jaime S. Cardoso:
Insulator visual non-conformity detection in overhead power distribution lines using deep learning. Comput. Electr. Eng. 78: 343-355 (2019) - [j47]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 241 (2019) - [j46]Pedro M. Ferreira, Jaime S. Cardoso, Ana Rebelo:
On the role of multimodal learning in the recognition of sign language. Multim. Tools Appl. 78(8): 10035-10056 (2019) - [j45]Kelwin Fernandes, Jaime S. Cardoso:
Hypothesis transfer learning based on structural model similarity. Neural Comput. Appl. 31(8): 3417-3430 (2019) - [j44]Ricardo J. Araújo, Kelwin Fernandes, Jaime S. Cardoso:
Sparse Multi-Bending Snakes. IEEE Trans. Image Process. 28(8): 3898-3909 (2019) - 2018
- [j43]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies. IEEE Access 6: 33910-33927 (2018) - [j42]João Ribeiro Pinto, Jaime S. Cardoso, André Lourenço:
Evolution, Current Challenges, and Future Possibilities in ECG Biometrics. IEEE Access 6: 34746-34776 (2018) - [j41]Pedro M. Ferreira, Filipe Marques, Jaime S. Cardoso, Ana Rebelo:
Physiological Inspired Deep Neural Networks for Emotion Recognition. IEEE Access 6: 53930-53943 (2018) - [j40]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 241-242 (2018) - [j39]Kelwin Fernandes, Jaime S. Cardoso, Birgitte Schmidt Astrup:
A deep learning approach for the forensic evaluation of sexual assault. Pattern Anal. Appl. 21(3): 629-640 (2018) - [j38]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Binary ranking for ordinal class imbalance. Pattern Anal. Appl. 21(4): 931-939 (2018) - [j37]Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes:
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis. PeerJ Comput. Sci. 4: e154 (2018) - [j36]Hooshiar Zolfagharnasab, Sílvia Bessa, Sara Pires de Oliveira, Pedro Faria, João F. Teixeira, Jaime S. Cardoso, Hélder P. Oliveira:
A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery. Sensors 18(1): 167 (2018) - 2017
- [j35]Jaime S. Cardoso, Xose Manuel Pardo, Roberto Paredes:
Foreword to the special issue on pattern recognition and image analysis. Neural Comput. Appl. 28(9): 2371-2372 (2017) - [j34]Eduardo Marques Pereira, Lucian Ciobanu, Jaime S. Cardoso:
Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario. Neural Comput. Appl. 28(9): 2425-2444 (2017) - [j33]Chetak Kandaswamy, João C. Monteiro, Luís M. Silva, Jaime S. Cardoso:
Multi-source deep transfer learning for cross-sensor biometrics. Neural Comput. Appl. 28(9): 2461-2475 (2017) - [j32]Luís Rosado, José M. Correia da Costa, Dirk Elias, Jaime S. Cardoso:
Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination. Sensors 17(10): 2167 (2017) - [j31]João Ribeiro Pinto, Jaime S. Cardoso, André Lourenço, Carlos Carreiras:
Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel. Sensors 17(10): 2228 (2017) - 2016
- [j30]Maria João Cardoso, Jaime S. Cardoso, Hélder P. Oliveira, Pedro Gouveia:
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. 126: 154-159 (2016) - [j29]Kelwin Fernandes, Jaime S. Cardoso:
Discriminative directional classifiers. Neurocomputing 207: 141-149 (2016) - [j28]Eduardo Marques Pereira, Jaime S. Cardoso, Ricardo Morla:
Long-range trajectories from global and local motion representations. J. Vis. Commun. Image Represent. 40: 265-287 (2016) - 2015
- [j27]Pedro F. B. Silva, Jaime S. Cardoso:
Differential scorecards for binary and ordinal data. Intell. Data Anal. 19(6): 1391-1408 (2015) - [j26]Luisa Micó, João M. Sanches, Jaime S. Cardoso:
The vitality of pattern recognition and image analysis. Neurocomputing 150: 124-125 (2015) - [j25]Jaime S. Cardoso, Inês Domingues, Hélder P. Oliveira:
Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer. Int. J. Pattern Recognit. Artif. Intell. 29(1): 1555002:1-1555002:24 (2015) - [j24]Samaneh Khoshrou, Jaime S. Cardoso, Luís Filipe Teixeira:
Learning from evolving video streams in a multi-camera scenario. Mach. Learn. 100(2-3): 609-633 (2015) - [j23]Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto:
Robust classification with reject option using the self-organizing map. Neural Comput. Appl. 26(7): 1603-1619 (2015) - [j22]Cuihong Wen, Ana Rebelo, Jing Zhang, Jaime S. Cardoso:
A new optical music recognition system based on combined neural network. Pattern Recognit. Lett. 58: 1-7 (2015) - [j21]João C. Monteiro, Jaime S. Cardoso:
A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios. Sensors 15(1): 1903-1924 (2015) - [j20]Ana Filipa Sequeira, Jaime S. Cardoso:
Fingerprint Liveness Detection in the Presence of Capable Intruders. Sensors 15(6): 14615-14638 (2015) - 2014
- [j19]Hélder P. Oliveira, Jaime S. Cardoso, André Magalhães, Maria João Cardoso:
A 3D low-cost solution for the aesthetic evaluation of breast cancer conservative treatment. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 2(2): 90-106 (2014) - [j18]Xianghui Xiao, Minfang Peng, Jaime S. Cardoso, Lei Wang, Meie Shen:
Signal transmission model for the substations grounding grid. Expert Syst. Appl. 41(2): 616-621 (2014) - [j17]Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso:
Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Networks 21 (2008) 78-79]. Neural Networks 59: 73-75 (2014) - [j16]Inês Domingues, Jaime S. Cardoso:
Max-Ordinal Learning. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1384-1389 (2014) - 2013
- [j15]Ricardo Gamelas Sousa, Jaime S. Cardoso:
The data replication method for the classification with reject option. AI Commun. 26(3): 281-302 (2013) - [j14]Pedro Carvalho, Telmo Oliveira, Lucian Ciobanu, Filipe Gaspar, Luís Filipe Teixeira, Rafael Bastos, Jaime S. Cardoso, Miguel Sales Dias, Luís Corte-Real:
Analysis of object description methods in a video object tracking environment. Mach. Vis. Appl. 24(6): 1149-1165 (2013) - 2012
- [j13]Ana Rebelo, Ichiro Fujinaga, Filipe Paszkiewicz, André R. S. Marçal, Carlos Guedes, Jaime S. Cardoso:
Optical music recognition: state-of-the-art and open issues. Int. J. Multim. Inf. Retr. 1(3): 173-190 (2012) - [j12]Pedro Carvalho, Jaime S. Cardoso, Luís Corte-Real:
Filling the gap in quality assessment of video object tracking. Image Vis. Comput. 30(9): 630-640 (2012) - 2011
- [j11]Jaime S. Cardoso, Ricardo Gamelas Sousa:
Measuring the Performance of Ordinal Classification. Int. J. Pattern Recognit. Artif. Intell. 25(8): 1173-1195 (2011) - 2010
- [j10]Ana Rebelo, Guilherme Artur Capela, Jaime S. Cardoso:
Optical recognition of music symbols - A comparative study. Int. J. Document Anal. Recognit. 13(1): 19-31 (2010) - 2009
- [j9]Jaime S. Cardoso, Pedro Carvalho, Luís Filipe Teixeira, Luís Corte-Real:
Partition-distance methods for assessing spatial segmentations of images and videos. Comput. Vis. Image Underst. 113(7): 811-823 (2009) - 2008
- [j8]Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso:
The unimodal model for the classification of ordinal data. Neural Networks 21(1): 78-91 (2008) - 2007
- [j7]Jaime S. Cardoso, Maria João Cardoso:
Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment. Artif. Intell. Medicine 40(2): 115-126 (2007) - [j6]Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Learning to Classify Ordinal Data: The Data Replication Method. J. Mach. Learn. Res. 8: 1393-1429 (2007) - [j5]Luís Filipe Teixeira, Jaime S. Cardoso, Luís Corte-Real:
Object Segmentation Using Background Modelling and Cascaded Change Detection. J. Multim. 2(5): 55-65 (2007) - 2006
- [j4]Jaime S. Cardoso, Luís Corte-Real:
A measure for mutual refinements of image segmentations. IEEE Trans. Image Process. 15(8): 2358-2363 (2006) - 2005
- [j3]Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso:
Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment. Neural Networks 18(5-6): 808-817 (2005) - [j2]Jaime S. Cardoso, Luís Corte-Real:
Accumulator size minimization for a fast cumulant-based motion estimator. IEEE Trans. Circuits Syst. Video Technol. 15(12): 1660-1664 (2005) - [j1]Jaime S. Cardoso, Luís Corte-Real:
Toward a generic evaluation of image segmentation. IEEE Trans. Image Process. 14(11): 1773-1782 (2005)
Conference and Workshop Papers
- 2024
- [c148]Nuno Freitas, Helena Montenegro, Maria João Cardoso, Jaime S. Cardoso:
Reproducing Asymmetries Caused by Breast Cancer Treatment in Pre-Operative Breast Images. ISBI 2024: 1-5 - [c147]Isabel Rio-Torto, Tiago Gonçalves, Jaime S. Cardoso, Luís F. Teixeira:
On the Suitability of B-cos Networks for the Medical Domain. ISBI 2024: 1-5 - 2023
- [c146]Pedro C. Neto, Eduarda Caldeira, Jaime S. Cardoso, Ana Filipa Sequeira:
Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition. BIOSIG 2023: 1-5 - [c145]Margarida Gouveia, Eduardo Castro, Ana Rebelo, Jaime S. Cardoso, Bruno Patrão:
Deep Minutiae Fingerprint Extraction Using Equivariance Priors. BIOSIGNALS 2023: 241-251 - [c144]Tânia Melo, Jaime S. Cardoso, Ângela Carneiro, Aurélio Campilho, Ana Maria Mendonça:
OCT Image Synthesis through Deep Generative Models. CBMS 2023: 561-566 - [c143]Ricardo P. M. Cruz, A. S. M. Shihavuddin, Md Hasan Maruf, Jaime S. Cardoso:
Active Supervision: Human in the Loop. CIARP 2023: 540-551 - [c142]Filipe Campos, Francisco Gonçalves Cerqueira, Ricardo P. M. Cruz, Jaime S. Cardoso:
YOLOMM - You Only Look Once for Multi-modal Multi-tasking. CIARP 2023: 564-574 - [c141]Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, Jaime S. Cardoso:
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. CLEF (Working Notes) 2023: 1653-1667 - [c140]Pedro C. Neto, Ana Filipa Sequeira, Jaime S. Cardoso, Philipp Terhörst:
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition. CVPR Workshops 2023: 1021-1029 - [c139]Eduarda Caldeira, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. EUSIPCO 2023: 955-959 - [c138]Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega, Jaime S. Cardoso:
Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images. ICASSP 2023: 1-5 - [c137]Gonçalo Ferreira, Marco Teixeira, Raquel Belo, Wilson Silva, Jaime S. Cardoso:
Deep Learning Strategies For Rare Drug Mechanism of Action Prediction. IJCNN 2023: 1-7 - [c136]Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. IWANN (2) 2023: 529-540 - [c135]Tomé Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria João M. Vasconcelos, Jaime S. Cardoso, Peter J. Schüffler:
Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 157-167 - 2022
- [c134]Pedro C. Neto, Tiago Gonçalves, Marco Huber, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. BIOSIG 2022: 173-181 - [c133]Tomé Albuquerque, Ana Moreira, Beatriz Barros, Diana Montezuma, Sara Pires de Oliveira, Pedro C. Neto, João C. Monteiro, Liliana Ribeiro, Sofia Gonçalves, Ana Monteiro, Isabel M. Pinto, Jaime S. Cardoso:
Quality Control in Digital Pathology: Automatic Fragment Detection and Counting. EMBC 2022: 588-593 - [c132]Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira:
From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation. IbPRIA 2022: 54-65 - [c131]Wilson Silva, Maria Carvalho, Carlos Mavioso, Maria João Cardoso, Jaime S. Cardoso:
Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes. IbPRIA 2022: 108-118 - [c130]Diogo Mata, Wilson Silva, Jaime S. Cardoso:
Increased Robustness in Chest X-Ray Classification Through Clinical Report-Driven Regularization. IbPRIA 2022: 119-128 - [c129]Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran B. Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Gonçalves, Ana Filipa Sequeira, Jaime S. Cardoso, João Tremoço, Miguel Lourenço, Sergio Serra, Eduardo Cermeño, Marija Ivanovska, Borut Batagelj, Andrej Kronovsek, Peter Peer, Vitomir Struc:
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. IJCB 2022: 1-10 - [c128]Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso, Messaoud Bengherabi, Abderaouf Bousnat, Sana Boucheta, Nesrine Hebbadj, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Pedro Beber de Queiroz Vidal, David Menotti:
OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions. IJCB 2022: 1-9 - [c127]Helena Montenegro, Wilson Silva, Jaime S. Cardoso:
Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations. MAD@MICCAI 2022: 33-45 - [c126]Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso:
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation. MIDL 2022: 250-260 - [c125]João Ribeiro Pinto, Pedro Carvalho, Carolina Pinto, Afonso Sousa, Leonardo Capozzi, Jaime S. Cardoso:
Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy. VISIGRAPP (5: VISAPP) 2022: 467-474 - [c124]Pedro C. Neto, Ana Filipa Sequeira, Jaime S. Cardoso:
Myope Models - Are face presentation attack detection models short-sighted? WACV (Workshops) 2022: 390-399 - 2021
- [c123]Isabella Medeiros de Sousa, Marcela de Oliveira, Paulo Noronha Lisboa-Filho, Jaime dos Santos Cardoso:
Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI. BIBM 2021: 1786-1790 - [c122]Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Mohsen Saffari, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition. BIOSIG 2021: 21-30 - [c121]Pedro Costa, Aurélio Campilho, Jaime S. Cardoso:
A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images. CIARP 2021: 55-64 - [c120]Leonardo Capozzi, João Ribeiro Pinto, Jaime S. Cardoso, Ana Rebelo:
Optimizing Person Re-Identification Using Generated Attention Masks. CIARP 2021: 248-257 - [c119]Leonardo Capozzi, João Ribeiro Pinto, Jaime S. Cardoso, Ana Rebelo:
End-to-End Deep Sketch-to-Photo Matching Enforcing Realistic Photo Generation. CIARP 2021: 451-460 - [c118]Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
FocusFace: Multi-task Contrastive Learning for Masked Face Recognition. FG 2021: 1-8 - [c117]Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran B. Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Struc, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana Filipa Sequeira, João Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso:
MFR 2021: Masked Face Recognition Competition. IJCB 2021: 1-10 - [c116]Tomé Albuquerque, Ana Moreira, Jaime S. Cardoso:
Deep Ordinal Focus Assessment for Whole Slide Images. ICCVW 2021: 657-663 - [c115]Tomé Albuquerque, Jaime S. Cardoso:
Embedded Regularization For Classification Of Colposcopic Images. ISBI 2021: 1920-1923 - [c114]Arthur Matta, João Ribeiro Pinto, Jaime S. Cardoso:
Mixture-Based Open World Face Recognition. WorldCIST (3) 2021: 653-662 - 2020
- [c113]Marcela de Oliveira, Felipe Balistieri Santinelli, Marina Piacenti-Silva, Fernando Coronetti Gomes Rocha, Fabio Augusto Barbieri, Paulo Noronha Lisboa-Filho, Jorge Manuel Santos, Jaime dos Santos Cardoso:
Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks. BIBM 2020: 2045-2048 - [c112]João Ribeiro Pinto, Jaime S. Cardoso:
Explaining ECG Biometrics: Is It All In The QRS? BIOSIG 2020: 139-150 - [c111]Joao Afonso Pereira, Ana Filipa Sequeira, Diogo Pernes, Jaime S. Cardoso:
A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning. BIOSIG 2020: 183-190 - [c110]Ricardo P. M. Cruz, Ricardo M. Prates, Eduardo F. Simas Filho, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Background Invariance by Adversarial Learning. ICPR 2020: 5883-5888 - [c109]Eduardo Castro, José Costa Pereira, Jaime S. Cardoso:
Soft Rotation Equivariant Convolutional Neural Networks. IJCNN 2020: 1-8 - [c108]João Ribeiro Pinto, Jaime S. Cardoso:
Self-Learning with Stochastic Triplet Loss. IJCNN 2020: 1-8 - [c107]João Ribeiro Pinto, Tiago Gonçalves, Carolina Pinto, Luís Sanhudo, Joaquim Fonseca, Filipe Gonçalves, Pedro Carvalho, Jaime S. Cardoso:
Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks. IPAS 2020: 114-119 - [c106]Pedro Augusto, Jaime S. Cardoso, Joaquim Fonseca:
Automotive Interior Sensing - Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies. IPAS 2020: 162-167 - [c105]João Ribeiro Pinto, Jaime S. Cardoso, Miguel V. Correia:
Secure Triplet Loss for End-to-End Deep Biometrics. IWBF 2020: 1-6 - [c104]Ana Filipa Sequeira, Wilson Silva, João Ribeiro Pinto, Tiago Gonçalves, Jaime S. Cardoso:
Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated? IWBF 2020: 1-6 - [c103]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [c102]Wilson Silva, Alexander Pollinger, Jaime S. Cardoso, Mauricio Reyes:
Interpretability-Guided Content-Based Medical Image Retrieval. MICCAI (1) 2020: 305-314 - [c101]Eden Pereira da Silva, Eliaquim Monteiro Ramos, Leandro Tavares da Silva, Jaime S. Cardoso, Gilson A. Giraldi:
Video Summarization through Total Variation, Deep Semi-supervised Autoencoder and Clustering Algorithms. VISIGRAPP (4: VISAPP) 2020: 315-322 - 2019
- [c100]Pedro M. Ferreira, Ana Filipa Sequeira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso:
Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations. BIOSIG 2019: 47-58 - [c99]João Ribeiro Pinto, Jaime S. Cardoso:
An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication. BTAS 2019: 1-8 - [c98]Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Averse Deep Semantic Segmentation. EMBC 2019: 44-47 - [c97]Eduardo Castro, José Costa Pereira, Jaime S. Cardoso:
Weight Rotation as a Regularization Strategy in Convolutional Neural Networks. EMBC 2019: 2106-2110 - [c96]José Rebelo, Kelwin Fernandes, Jaime S. Cardoso:
Quality-based Regularization for Iterative Deep Image Segmentation. EMBC 2019: 6734-6737 - [c95]Eduardo F. Simas Filho, Ricardo M. Prates, Rodrigo Pereira Ramos, Jaime S. Cardoso:
Power Distribution Insulators Classification Using Image Hybrid Deep Learning. EUSIPCO 2019: 1-5 - [c94]Gabriel Lopes, João Ribeiro Pinto, Jaime S. Cardoso:
Don't You Forget About Me: A Study on Long-Term Performance in ECG Biometrics. IbPRIA (2) 2019: 38-49 - [c93]Ana F. Adonias, Joana Ferreira-Gomes, Raquel Alonso, Fani Neto, Jaime S. Cardoso:
Towards Automatic Rat's Gait Analysis Under Suboptimal Illumination Conditions. IbPRIA (2) 2019: 247-259 - [c92]Ricardo J. Araújo, Jaime S. Cardoso, Hélder P. Oliveira:
Deep Vesselness Measure from Scale-Space Analysis of Hessian Matrix Eigenvalues. IbPRIA (2) 2019: 473-484 - [c91]Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Automatic Augmentation by Hill Climbing. ICANN (2) 2019: 115-124 - [c90]Ricardo J. Araújo, Jaime S. Cardoso, Hélder P. Oliveira:
A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images. ICIAP (2) 2019: 59-69 - [c89]Pedro M. Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso:
Learning signer-invariant representations with adversarial training. ICMV 2019: 114333D - [c88]Diogo Pernes, Jaime S. Cardoso:
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. IJCNN 2019: 1-10 - [c87]Wilson Silva, Kelwin Fernandes, Jaime S. Cardoso:
How to produce complementary explanations using an Ensemble Model. IJCNN 2019: 1-8 - [c86]Wilson Silva, Eduardo Castro, Maria João Cardoso, Florian Fitzal, Jaime S. Cardoso:
Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes. ISBI 2019: 1082-1086 - [c85]Ricardo J. Araújo, Jaime S. Cardoso, Hélder P. Oliveira:
A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation. MICCAI (1) 2019: 93-101 - 2018
- [c84]Eduardo Castro, Jaime S. Cardoso, José Costa Pereira:
Elastic deformations for data augmentation in breast cancer mass detection. BHI 2018: 230-234 - [c83]Pedro M. Ferreira, Ana Filipa Sequeira, Jaime S. Cardoso, Ana Rebelo:
Robust Clustering-based Segmentation Methods for Fingerprint Recognition. BIOSIG 2018: 1-5 - [c82]Ana Rebelo, Tiago Oliveira, Manuel Eduardo Correia, Jaime S. Cardoso:
Are Deep Learning Methods Ready for Prime Time in Fingerprints Minutiae Extraction? CIARP 2018: 628-636 - [c81]Joana Silva, Inês Sousa, Jaime S. Cardoso:
Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls. EMBC 2018: 3509-3512 - [c80]Pedro G. Alves, Jaime S. Cardoso, Maria Do Bom-Sucesso:
The Challenges of Applying Deep Learning for Hemangioma Lesion Segmentation. EUVIP 2018: 1-6 - [c79]Licínio Oliveira, Jaime S. Cardoso, André Lourenço, Christer Ahlström:
Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods. EUVIP 2018: 1-6 - [c78]Kelwin Fernandes, Jaime S. Cardoso:
Ordinal Image Segmentation using Deep Neural Networks. IJCNN 2018: 1-7 - [c77]Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso:
Deep Image Segmentation by Quality Inference. IJCNN 2018: 1-8 - [c76]Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso:
A Uniform Performance Index for Ordinal Classification with Imbalanced Classes. IJCNN 2018: 1-8 - [c75]Wilson Silva, Kelwin Fernandes, Maria João Cardoso, Jaime S. Cardoso:
Towards Complementary Explanations Using Deep Neural Networks. MLCN/DLF/iMIMIC@MICCAI 2018: 133-140 - [c74]Ricardo P. M. Cruz, Margarida Silveira, Jaime S. Cardoso:
A Class Imbalance Ordinal Method for Alzheimer's Disease Classification. PRNI 2018: 1-4 - 2017
- [c73]Luís Rosado, Paulo T. Silva, José Faria, João Oliveira, Maria João M. Vasconcelos, Dirk Elias, José M. Correia da Costa, Jaime S. Cardoso:
\mu μ SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage. BIOSTEC (Selected Papers) 2017: 19-44 - [c72]Luís Rosado, João Oliveira, Maria João M. Vasconcelos, José M. Correia da Costa, Dirk Elias, Jaime S. Cardoso:
µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage. BIODEVICES 2017: 38-48 - [c71]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Ordinal Class Imbalance with Ranking. IbPRIA 2017: 3-12 - [c70]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Transfer Learning with Partial Observability Applied to Cervical Cancer Screening. IbPRIA 2017: 243-250 - [c69]Kelwin Fernandes, Jaime S. Cardoso, Birgitte Schmidt Astrup:
Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy. IbPRIA 2017: 251-258 - [c68]Pedro M. Ferreira, Jaime S. Cardoso, Ana Rebelo:
Multimodal Learning for Sign Language Recognition. IbPRIA 2017: 313-321 - [c67]Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. ICIP 2017: 1737-1741 - [c66]María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez:
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. IWANN (2) 2017: 525-537 - [c65]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Combining Ranking with Traditional Methods for Ordinal Class Imbalance. IWANN (2) 2017: 538-548 - [c64]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Constraining Type II Error: Building Intentionally Biased Classifiers. IWANN (2) 2017: 549-560 - [c63]Ricardo Silva, Jaime S. Cardoso, Filipe Sousa:
Measuring Impedance in Congestive Heart Failure. pHealth 2017: 157-162 - 2016
- [c62]Hooshiar Zolfagharnasab, Jaime S. Cardoso, Hélder P. Oliveira:
Fitting of Breast Data Using Free Form Deformation Technique. ICIAR 2016: 608-615 - [c61]Kelwin Fernandes, Jaime S. Cardoso, Héctor Palacios:
Learning and ensembling lexicographic preference trees with multiple kernels. IJCNN 2016: 2140-2147 - [c60]Ricardo P. M. Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Tackling class imbalance with ranking. IJCNN 2016: 2182-2187 - [c59]Tiago Freitas, Pedro G. Alves, Cristiana Carpinteiro, Joana Rodrigues, Margarida Fernandes, Marina Castro, João C. Monteiro, Jaime S. Cardoso:
A Comparative Analysis of Deep and Shallow Features for Multimodal Face Recognition in a Novel RGB-D-IR Dataset. ISVC (1) 2016: 800-811 - [c58]Björn Eiben, Rene M. Lacher, Vasileios Vavourakis, John H. Hipwell, Danail Stoyanov, Norman R. Williams, Jörg Sabczynski, Thomas Bülow, Dominik Kutra, Kirsten Meetz, Stewart Young, Hans Barschdorf, Hélder P. Oliveira, Jaime S. Cardoso, João P. Monteiro, Hooshiar Zolfagharnasab, Ralph Sinkus, Pedro Gouveia, Gerrit-Jan Liefers, Barbara Molenkamp, Cornelis J. H. van de Velde, David J. Hawkes, Maria João Cardoso, Mohammed Keshtgar:
Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework. Digital Mammography / IWDM 2016: 274-281 - [c57]Luís Rosado, José M. Correia da Costa, Dirk Elias, Jaime S. Cardoso:
Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices. MIUA 2016: 138-144 - [c56]Ana Filipa Sequeira, Shejin Thavalengal, James M. Ferryman, Peter Corcoran, Jaime S. Cardoso:
A realistic evaluation of iris presentation attack detection. TSP 2016: 660-664 - 2015
- [c55]João C. Monteiro, Jaime S. Cardoso:
Periocular Recognition under Unconstrained Settings with Universal Background Models. BIOSIGNALS 2015: 38-48 - [c54]João C. Monteiro, Jaime S. Cardoso:
A Novel Application of Universal Background Models for Periocular Recognition. BIOSTEC (Selected Papers) 2015: 291-307 - [c53]Eduardo Marques Pereira, Lucian Ciobanu, Jaime S. Cardoso:
Social Signaling Descriptor for Group Behaviour Analysis. IbPRIA 2015: 13-22 - [c52]Chetak Kandaswamy, Luís M. Silva, Jaime S. Cardoso:
Source-Target-Source Classification Using Stacked Denoising Autoencoders. IbPRIA 2015: 39-47 - [c51]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Temporal Segmentation of Digital Colposcopies. IbPRIA 2015: 262-271 - [c50]João Costa, Jaime S. Cardoso:
oAdaBoost - An AdaBoost Variant for Ordinal Classification. ICPRAM (1) 2015: 68-76 - [c49]Filipe Trocado Ferreira, Jaime S. Cardoso, Hélder P. Oliveira:
Video Analysis in Indoor Soccer using a Quadcopter. ICPRAM (1) 2015: 77-86 - [c48]João C. Monteiro, Rui Esteves, Gil Melfe Mateus Santos, Paulo Torrão Fiadeiro, Joana Lobo, Jaime S. Cardoso:
A Comparative Analysis of Two Approaches to Periocular Recognition in Mobile Scenarios. ISVC (2) 2015: 268-280 - [c47]Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, Luís Filipe Teixeira:
Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams. ISVC (2) 2015: 509-520 - 2014
- [c46]Diogo Pernes, Jaime S. Cardoso, Hélder P. Oliveira:
Fitting of superquadrics for breast modelling by geometric distance minimization. BIBM 2014: 293-296 - [c45]Sílvia Bessa, Inês Domingues, Jaime S. Cardoso, Pedro Passarinho, Pedro Cardoso, Vitor Rodrigues, Fernando Lage:
Normal breast identification in screening mammography: A study on 18 000 images. BIBM 2014: 325-330 - [c44]Inês Domingues, Jaime S. Cardoso:
Using Bayesian surprise to detect calcifications in mammogram images. EMBC 2014: 1091-1094 - [c43]Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra:
reject option paradigm for the reduction of support vectors. ESANN 2014 - [c42]Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto:
Classification with Reject Option Using the Self-Organizing Map. ICANN 2014: 105-112 - [c41]Ana Filipa Sequeira, Hélder P. Oliveira, João C. Monteiro, João P. Monteiro, Jaime S. Cardoso:
MobILive 2014 - Mobile Iris Liveness Detection Competition. IJCB 2014: 1-6 - [c40]João P. Monteiro, Hélder P. Oliveira, Paulo Aguiar, Jaime S. Cardoso:
A depth-map approach for automatic mice behavior recognition. ICIP 2014: 2261-2265 - [c39]Samaneh Khoshrou, Jaime S. Cardoso, Luís Filipe Teixeira:
Active Learning from Video Streams in a Multi-camera Scenario. ICPR 2014: 1248-1253 - [c38]Ana Filipa Sequeira, Juliano Murari, Jaime S. Cardoso:
Iris liveness detection methods in the mobile biometrics scenario. IJCNN 2014: 3002-3008 - [c37]Anisa Allahdadi, Ricardo Morla, Jaime S. Cardoso:
Outlier detection in 802.11 wireless access points using Hidden Markov Models. WMNC 2014: 1-8 - [c36]Eduardo Marques Pereira, Lucian Ciobanu, Jaime S. Cardoso:
Context-based trajectory descriptor for human activity profiling. SMC 2014: 2385-2390 - [c35]Ana Filipa Sequeira, Juliano Murari, Jaime S. Cardoso:
Iris Liveness Detection Methods in Mobile Applications. VISAPP (3) 2014: 22-33 - 2013
- [c34]Hélder P. Oliveira, Marco D. Silva, André Magalhães, Maria João Cardoso, Jaime S. Cardoso:
Is Kinect Depth Data Accurate for the Aesthetic Evaluation after Breast Cancer Surgeries? IbPRIA 2013: 261-268 - [c33]Eduardo Marques Pereira, Jaime S. Cardoso, Ricardo Morla:
Motion Flow Tracking in Unconstrained Videos for Retail Scenario. IbPRIA 2013: 340-349 - [c32]Ana Rebelo, Jaime S. Cardoso:
Staff Line Detection and Removal in the Grayscale Domain. ICDAR 2013: 57-61 - [c31]Ana Rebelo, André R. S. Marçal, Jaime S. Cardoso:
Global Constraints for Syntactic Consistency in OMR: An Ongoing Approach. ICIAR 2013: 734-741 - [c30]Anisa Allahdadi, Ricardo Morla, Ana Aguiar, Jaime S. Cardoso:
Predicting short 802.11 sessions from RADIUS usage data. LCN Workshops 2013: 1-8 - [c29]João C. Monteiro, Ana Filipa Sequeira, Hélder P. Oliveira, Jaime S. Cardoso:
Robust Iris Localisation in Challenging Scenarios. VISIGRAPP (Selected Papers) 2013: 146-162 - [c28]João C. Monteiro, Hélder P. Oliveira, Ana Filipa Sequeira, Jaime S. Cardoso:
Robust Iris Segmentation under Unconstrained Settings. VISAPP (1) 2013: 180-190 - 2012
- [c27]Luís Filipe Teixeira, Pedro Carvalho, Jaime S. Cardoso, Luís Corte-Real:
Automatic description of object appearances in a wide-area surveillance scenario. ICIP 2012: 1609-1612 - [c26]Hélder P. Oliveira, Jaime S. Cardoso, André Magalhães, Maria João Cardoso:
Simultaneous detection of prominent points on breast cancer conservative treatment images. ICIP 2012: 2841-2844 - [c25]Jaime S. Cardoso, Ricardo Gamelas Sousa, Inês Domingues:
Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches. ICMLA (1) 2012: 473-477 - 2011
- [c24]Pedro Carvalho, Miguel Amável Pinheiro, Jaime S. Cardoso, Luís Corte-Real:
A Shortest Path Approach for Vibrating Line Detection and Tracking. IbPRIA 2011: 9-16 - [c23]Ricardo Gamelas Sousa, Hélder P. Oliveira, Jaime S. Cardoso:
Feature Selection with Complexity Measure in a Quadratic Programming Setting. IbPRIA 2011: 524-531 - [c22]Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso:
Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. IbPRIA 2011: 588-595 - [c21]Telmo Pinto, Ana Rebelo, Gilson A. Giraldi, Jaime S. Cardoso:
Music Score Binarization Based on Domain Knowledge. IbPRIA 2011: 700-708 - [c20]Jaime S. Cardoso, Inês Domingues:
Max-Coupled Learning: Application to Breast Cancer. ICMLA (1) 2011: 13-18 - [c19]Ana Rebelo, Jakub Tkaczuk, Ricardo Gamelas Sousa, Jaime S. Cardoso:
Metric Learning for Music Symbol Recognition. ICMLA (2) 2011: 106-111 - [c18]Ricardo Gamelas Sousa, Jaime S. Cardoso:
Ensemble of decision trees with global constraints for ordinal classification. ISDA 2011: 1164-1169 - [c17]Luiz C. M. de Aquino, Diego Augusto T. Q. Leite, Gilson Antonio Giraldi, Jaime S. Cardoso, Paulo Sérgio Silva Rodrigues, Luiz A. Pereira Neves:
Surface Reconstruction for Generating Digital Models of Prosthesis. VISAPP 2011: 137-142 - 2010
- [c16]Joaquim F. Pinto da Costa, Ricardo Gamelas Sousa, Jaime S. Cardoso:
An All-at-once Unimodal SVM Approach for Ordinal Classification. ICMLA 2010: 59-64 - [c15]Jaime S. Cardoso, Ricardo Gamelas Sousa:
Classification Models with Global Constraints for Ordinal Data. ICMLA 2010: 71-77 - [c14]Jaime S. Cardoso, Ana Rebelo:
Robust Staffline Thickness and Distance Estimation in Binary and Gray-Level Music Scores. ICPR 2010: 1856-1859 - 2009
- [c13]Ricardo Gamelas Sousa, Beatriz Mora, Jaime S. Cardoso:
An Ordinal Data Method for the Classification with Reject Option. ICMLA 2009: 746-750 - [c12]Hélder P. Oliveira, Jaime S. Cardoso:
Image Retargeting using Stable Paths. VISAPP (2) 2009: 40-47 - [c11]Jaime S. Cardoso:
Stable text line detection. WACV 2009: 1-5 - 2008
- [c10]Jaime S. Cardoso, Luís Filipe Teixeira, Maria João Cardoso:
Automatic Breast Contour Detection in Digital Photographs. HEALTHINF (2) 2008: 91-98 - [c9]Jaime S. Cardoso, Ricardo Gamelas Sousa, Luís Filipe Teixeira, Maria João Cardoso:
Breast Contour Detection with Stable Paths. BIOSTEC (Selected Papers) 2008: 439-452 - [c8]Jaime S. Cardoso, Artur Capela, Ana Rebelo, Carlos Guedes:
A connected path approach for staff detection on a music score. ICIP 2008: 1005-1008 - [c7]Ricardo Gamelas Sousa, Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso:
Breast contour detection with shape priors. ICIP 2008: 1440-1443 - [c6]Artur Capela, Jaime S. Cardoso, Ana Rebelo, Carlos Guedes:
Integrated Recognition System for Music Scores. ICMC 2008 - [c5]Artur Capela, Ana Rebelo, Jaime S. Cardoso, Carlos Guedes:
Staff Line Detection and Removal with Stable Paths. SIGMAP 2008: 263-270 - [c4]Filipe Coelho, Luis Batista, Luís Filipe Teixeira, Jaime S. Cardoso:
Automatic System for the Recognition of Amounts in Handwritten Cheques. SIGMAP 2008: 320-324 - 2007
- [c3]Jaime S. Cardoso:
Bandwidth-Efficient Byte Stuffing. ICC 2007: 6175-6180 - 2006
- [c2]Margarita Kotti, Luis P. M. Martins, Emmanouil Benetos, Jaime S. Cardoso, Constantine Kotropoulos:
Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches. ICME 2006: 1101-1104 - 2005
- [c1]Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Classification of Ordinal Data Using Neural Networks. ECML 2005: 690-697
Parts in Books or Collections
- 2013
- [p2]Ricardo Gamelas Sousa, Iryna Yevseyeva, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Multicriteria Models for Learning Ordinal Data: A Literature Review. Artificial Intelligence, Evolutionary Computing and Metaheuristics 2013: 109-138 - 2008
- [p1]Jaime S. Cardoso, Maria João Cardoso:
Breast Contour Detection for the Aesthetic Evaluation of Breast Cancer Conservative Treatment. Computer Recognition Systems 2 2008: 518-525
Editorship
- 2022
- [e9]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso:
Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13611, Springer 2022, ISBN 978-3-031-17975-4 [contents] - 2021
- [e8]Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, David Riaño:
Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings. Lecture Notes in Computer Science 12721, Springer 2021, ISBN 978-3-030-77210-9 [contents] - [e7]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur:
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8 [contents] - 2020
- [e6]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - 2017
- [e5]M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - 2016
- [e4]Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise:
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 10008, 2016, ISBN 978-3-319-46975-1 [contents] - 2015
- [e3]Roberto Paredes, Jaime S. Cardoso, Xosé M. Pardo:
Pattern Recognition and Image Analysis - 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings. Lecture Notes in Computer Science 9117, Springer 2015, ISBN 978-3-319-19389-2 [contents] - [e2]Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9286, Springer 2015, ISBN 978-3-319-23460-1 [contents] - 2013
- [e1]João M. Sanches, Luisa Micó, Jaime S. Cardoso:
Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Funchal, Madeira, Portugal, June 5-7, 2013. Proceedings. Lecture Notes in Computer Science 7887, Springer 2013, ISBN 978-3-642-38627-5 [contents]
Data and Artifacts
- 2017
- [d2]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Cervical cancer (Risk Factors). UCI Machine Learning Repository, 2017
- [d1]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Quality Assessment of Digital Colposcopies. UCI Machine Learning Repository, 2017
Informal and Other Publications
- 2024
- [i35]Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti:
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2404.10378 (2024) - [i34]Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina Viktoria Hoebel, Mason C. Cleveland, Syed Rakin Ahmed, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge, Albert E. Kim:
Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. CoRR abs/2404.16397 (2024) - [i33]João D. Nunes, Diana Montezuma, Domingos Oliveira, Tania Pereira, Jaime S. Cardoso:
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention. CoRR abs/2407.18673 (2024) - [i32]Rafael Cristino, Ricardo P. M. Cruz, Jaime S. Cardoso:
Learning Ordinality in Semantic Segmentation. CoRR abs/2407.20959 (2024) - [i31]Inês Martins, João Matos, Tiago Gonçalves, Leo A. Celi, A. Ian Wong, Jaime S. Cardoso:
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking. CoRR abs/2408.04396 (2024) - [i30]Eduarda Caldeira, Jaime S. Cardoso, Ana Filipa Sequeira, Pedro C. Neto:
MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition. CoRR abs/2408.16563 (2024) - 2023
- [i29]Pedro C. Neto, Diana Montezuma, Sara Pires de Oliveira, Domingos Oliveira, João Fraga, Ana Monteiro, João C. Monteiro, Liliana Ribeiro, Sofia Gonçalves, Stefan Reinhard, Inti Zlobec, Isabel M. Pinto, Jaime S. Cardoso:
A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype. CoRR abs/2301.02608 (2023) - [i28]Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque:
Unimodal Distributions for Ordinal Regression. CoRR abs/2303.04547 (2023) - [i27]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i26]Eduarda Caldeira, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. CoRR abs/2306.03002 (2023) - [i25]Pedro C. Neto, Eduarda Caldeira, Jaime S. Cardoso, Ana Filipa Sequeira:
Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition. CoRR abs/2308.11840 (2023) - [i24]Luis Filipe Nakayama, João Matos, Justin Quion, Frederico Novaes, William Greig Mitchell, Rogers Mwavu, Ju-Yi Ji Hung, Alvina Pauline dy Santiago, Warachaya Phanphruk, Jaime S. Cardoso, Leo Anthony Celi:
Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review. CoRR abs/2310.04997 (2023) - [i23]Helena Montenegro, Jaime S. Cardoso:
Anonymizing medical case-based explanations through disentanglement. CoRR abs/2311.04833 (2023) - 2022
- [i22]Pedro Costa, Yongpan Fu, João Nunes, Aurélio Campilho, Jaime S. Cardoso:
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector. CoRR abs/2203.01321 (2022) - [i21]Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso:
A survey on attention mechanisms for medical applications: are we moving towards better algorithms? CoRR abs/2204.12406 (2022) - [i20]Wilson Silva, Maria Carvalho, Carlos Mavioso, Maria João Cardoso, Jaime S. Cardoso:
Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes. CoRR abs/2205.12611 (2022) - [i19]Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso, Messaoud Bengherabi, Abderaouf Bousnat, Sana Boucheta, Nesrine Hebbadj, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Pedro Beber de Queiroz Vidal, David Menotti:
OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions. CoRR abs/2208.02760 (2022) - [i18]Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran B. Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Gonçalves, Ana Filipa Sequeira, Jaime S. Cardoso, João Tremoço, Miguel Lourenço, Sergio Serra, Eduardo Cermeño, Marija Ivanovska, Borut Batagelj, Andrej Kronovsek, Peter Peer, Vitomir Struc:
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. CoRR abs/2208.07337 (2022) - [i17]Pedro C. Neto, Tiago Gonçalves, Marco Huber, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. CoRR abs/2208.07841 (2022) - [i16]Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva, Ana Filipa Sequeira, Arun Ross, Jaime S. Cardoso:
Explainable Biometrics in the Age of Deep Learning. CoRR abs/2208.09500 (2022) - [i15]Pedro C. Neto, Ana Filipa Sequeira, Jaime S. Cardoso, Philipp Terhörst:
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition. CoRR abs/2211.12483 (2022) - 2021
- [i14]Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran B. Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Struc, Sachith Seneviratne, Nuran Kasthuriaarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana Filipa Sequeira, João Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso:
MFR 2021: Masked Face Recognition Competition. CoRR abs/2106.15288 (2021) - [i13]Helena Montenegro, Wilson Silva, Jaime S. Cardoso:
Towards Privacy-preserving Explanations in Medical Image Analysis. CoRR abs/2107.09652 (2021) - [i12]Ricardo J. Araújo, Jaime S. Cardoso, Hélder P. Oliveira:
Topological Similarity Index and Loss Function for Blood Vessel Segmentation. CoRR abs/2107.14531 (2021) - [i11]Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Mohsen Saffari, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition. CoRR abs/2108.00996 (2021) - [i10]Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
FocusFace: Multi-task Contrastive Learning for Masked Face Recognition. CoRR abs/2110.14940 (2021) - [i9]Pedro C. Neto, Ana Filipa Sequeira, Jaime S. Cardoso:
Myope Models - Are face presentation attack detection models short-sighted? CoRR abs/2111.11127 (2021) - 2020
- [i8]Diogo Pernes, Jaime S. Cardoso:
Tackling unsupervised multi-source domain adaptation with optimism and consistency. CoRR abs/2009.13939 (2020) - 2019
- [i7]Diogo Pernes, Jaime S. Cardoso:
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. CoRR abs/1904.00442 (2019) - 2018
- [i6]Pedro M. Ferreira, Diogo Pernes, Kelwin Fernandes, Ana Rebelo, Jaime S. Cardoso:
Dimensional emotion recognition using visual and textual cues. CoRR abs/1805.01416 (2018) - 2017
- [i5]Kelwin Fernandes, Jaime S. Cardoso:
Deep Local Binary Patterns. CoRR abs/1711.06597 (2017) - 2015
- [i4]Eduardo Marques Pereira, Jaime S. Cardoso, Ricardo Morla:
Long-Range Trajectories from Global and Local Motion Representations. CoRR abs/1509.08647 (2015) - 2014
- [i3]Samaneh Khoshrou, Jaime S. Cardoso, Luís Filipe Teixeira:
Active Mining of Parallel Video Streams. CoRR abs/1405.3382 (2014) - 2010
- [i2]Ricardo Gamelas Sousa, Jaime S. Cardoso:
The Data Replication Method for the Classification with Reject Option. CoRR abs/1011.3177 (2010) - 2006
- [i1]Jaime S. Cardoso:
Classification of Ordinal Data. CoRR abs/cs/0605123 (2006)
Coauthor Index
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