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Semantic ScholarJaime S. Cardoso
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- affiliation: University of Porto, Portugal
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2020 – today
- 2020
[j49]Joana Silva
, Inês Sousa, Jaime S. Cardoso:
Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls. IEEE J. Biomedical and Health Informatics 24(1): 50-56 (2020)
2010 – 2019
- 2019
- [j48]Ricardo Santos Morla, Ricardo Cruz, André P. Marotta, Rodrigo P. 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. CMBBE: Imaging & Visualization 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. Multimedia Tools Appl. 78(8): 10035-10056 (2019) - [j45]Kelwin Fernandes, Jaime S. Cardoso:
Hypothesis transfer learning based on structural model similarity. Neural Computing and Applications 31(8): 3417-3430 (2019) - [j44]Ricardo J. Araújo, Kelwin Fernandes, Jaime S. Cardoso:
Sparse Multi-Bending Snakes. IEEE Trans. Image Processing 28(8): 3898-3909 (2019) - [c98]Pedro M. Ferreira, Ana F. Sequeira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso:
Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations. BIOSIG 2019: 1-7 - [c97]Ricardo Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Averse Deep Semantic Segmentation. EMBC 2019: 44-47 - [c96]Eduardo Castro, Jose Costa Pereira, Jaime S. Cardoso:
Weight Rotation as a Regularization Strategy in Convolutional Neural Networks. EMBC 2019: 2106-2110 - [c95]José Rebelo, Kelwin Fernandes, Jaime S. Cardoso:
Quality-based Regularization for Iterative Deep Image Segmentation. EMBC 2019: 6734-6737 - [c94]Eduardo F. Simas Filho, Ricardo M. Prates, Rodrigo P. Ramos, Jaime S. Cardoso:
Power Distribution Insulators Classification Using Image Hybrid Deep Learning. EUSIPCO 2019: 1-5 - [c93]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 - [c92]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 - [c91]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 - [c90]Ricardo Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Automatic Augmentation by Hill Climbing. ICANN (2) 2019: 115-124 - [c89]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 - [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 - [i7]Diogo Pernes, Jaime S. Cardoso:
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. CoRR abs/1904.00442 (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. CMBBE: Imaging & Visualization 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 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 Computer Science 4: e154 (2018) - [j36]Hooshiar Zolfagharnasab, Sílvia Bessa, Sara P. 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) - [c84]Eduardo Castro, Jaime S. Cardoso, Jose Costa Pereira:
Elastic deformations for data augmentation in breast cancer mass detection. BHI 2018: 230-234 - [c83]Pedro M. Ferreira, Ana F. 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]Licinio 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 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 Cruz, Margarida Silveira, Jaime S. Cardoso:
A Class Imbalance Ordinal Method for Alzheimer's Disease Classification. PRNI 2018: 1-4 - [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
- [j35]Jaime S. Cardoso, Xose Manuel Pardo, Roberto Paredes:
Foreword to the special issue on pattern recognition and image analysis. Neural Computing and Applications 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 Computing and Applications 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 Computing and Applications 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) - [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 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 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 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 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 - [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] - [i5]Kelwin Fernandes, Jaime S. Cardoso:
Deep Local Binary Patterns. CoRR abs/1711.06597 (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) - [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 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 F. Sequeira, Shejin Thavalengal, James M. Ferryman, Peter Corcoran, Jaime S. Cardoso:
A realistic evaluation of iris presentation attack detection. TSP 2016: 660-664 - [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
- [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. IJPRAI 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 Computing and Applications 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 F. Sequeira, Jaime S. Cardoso:
Fingerprint Liveness Detection in the Presence of Capable Intruders. Sensors 15(6): 14615-14638 (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 - [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] - [i4]Eduardo Marques Pereira, Jaime S. Cardoso, Ricardo Morla:
Long-Range Trajectories from Global and Local Motion Representations. CoRR abs/1509.08647 (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. CMBBE: Imaging & Visualization 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 Netw. Learning Syst. 25(7): 1384-1389 (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 F. 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 F. 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 F. Sequeira, Juliano Murari, Jaime S. Cardoso:
Iris Liveness Detection Methods in Mobile Applications. VISAPP (3) 2014: 22-33 - [i3]Samaneh Khoshrou, Jaime S. Cardoso, Luís Filipe Teixeira:
Active Mining of Parallel Video Streams. CoRR abs/1405.3382 (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) - [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 F. 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 F. Sequeira, Jaime S. Cardoso:
Robust Iris Segmentation under Unconstrained Settings. VISAPP (1) 2013: 180-190 - [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 - [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] - 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. IJMIR 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) - [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
- [j11]Jaime S. Cardoso, Ricardo Gamelas Sousa:
Measuring the Performance of Ordinal Classification. IJPRAI 25(8): 1173-1195 (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
- [j10]Ana Rebelo, Guilherme Artur Capela, Jaime S. Cardoso:
Optical recognition of music symbols - A comparative study. IJDAR 13(1): 19-31 (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 - [i2]Ricardo Gamelas Sousa, Jaime S. Cardoso:
The Data Replication Method for the Classification with Reject Option. CoRR abs/1011.3177 (2010)
2000 – 2009
- 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) - [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
- [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) - [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 - [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 - 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. Journal of Multimedia 2(5): 55-65 (2007) - [c3]Jaime S. Cardoso:
Bandwidth-Efficient Byte Stuffing. ICC 2007: 6175-6180 - 2006
- [j4]Jaime S. Cardoso, Luís Corte-Real:
A measure for mutual refinements of image segmentations. IEEE Trans. Image Processing 15(8): 2358-2363 (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 - [i1]Jaime S. Cardoso:
Classification of Ordinal Data. CoRR abs/cs/0605123 (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 Techn. 15(12): 1660-1664 (2005) - [j1]Jaime S. Cardoso, Luís Corte-Real:
Toward a generic evaluation of image segmentation. IEEE Trans. Image Processing 14(11): 1773-1782 (2005) - [c1]Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Classification of Ordinal Data Using Neural Networks. ECML 2005: 690-697
Coauthor Index
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