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2020 – today
- 2024
[j56]Mariona Carós
, Ariadna Just, Santi Seguí, Jordi Vitrià:
Effective Training and Inference Strategies for Point Classification in LiDAR Scenes. Remote. Sens. 16(12): 2153 (2024)- [j55]Paula Gómez Duran, Pere Gilabert, Santi Seguí, Jordi Vitrià:
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach. ACM Trans. Intell. Syst. Technol. 15(4): 75:1-75:23 (2024) - [i19]Roger Pros, Jordi Vitrià:
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation. CoRR abs/2404.12238 (2024) - [i18]Alexandre Trilla, Rajesh Rajendran, Ossee Yiboe, Quentin Possamaï, Nenad Mijatovic, Jordi Vitrià:
Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept. CoRR abs/2407.11056 (2024) - [i17]Alexandre Trilla, Ossee Yiboe, Nenad Mijatovic, Jordi Vitrià:
Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept. CoRR abs/2407.20700 (2024) - [i16]Arturo Fredes, Jordi Vitrià:
Using LLMs for Explaining Sets of Counterfactual Examples to Final Users. CoRR abs/2408.15133 (2024) - 2023
- [j54]Anna Cascarano, Jordi Mur-Petit, Jerónimo Hernández-González, Marina Camacho, Nina de Toro Eadie, Polyxeni Gkontra, Marc Chadeau-Hyam, Jordi Vitrià, Karim Lekadir:
Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artif. Intell. Rev. 56(S2): 1711-1771 (2023) - [j53]Arnau Quindós, Pablo Laiz, Jordi Vitrià, Santi Seguí:
Self-supervised out-of-distribution detection in wireless capsule endoscopy images. Artif. Intell. Medicine 143: 102606 (2023) - [j52]Pablo Laiz, Jordi Vitrià, Pere Gilabert, Hagen Wenzek, Carolina Malagelada, Angus J. M. Watson, Santi Seguí:
Anatomical landmarks localization for capsule endoscopy studies. Comput. Medical Imaging Graph. 108: 102243 (2023) - [c107]Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Addressing Scale and Density Challenges in LiDAR Point Classification. CCIA 2023: 124-127 - [c106]Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí:
Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy. CCIA 2023: 134-135 - [c105]Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data. MVA 2023: 1-6 - [c104]Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí:
Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets. MVA 2023: 1-5 - [c103]Roger Pros, Jordi Vitrià:
Exploiting Causal Knowledge During CATE Estimation Using Tree Based Metalearners. PKDD/ECML Workshops (4) 2023: 261-276 - [i15]Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data. CoRR abs/2309.02139 (2023) - 2022
- [j51]Álvaro Parafita, Jordi Vitrià:
Estimand-Agnostic Causal Query Estimation With Deep Causal Graphs. IEEE Access 10: 71370-71386 (2022) - [j50]Guillem Pascual, Pablo Laiz, Albert García, Hagen Wenzek, Jordi Vitrià, Santi Seguí:
Time-based self-supervised learning for Wireless Capsule Endoscopy. Comput. Biol. Medicine 146: 105631 (2022) - [j49]José Mena, Oriol Pujol, Jordi Vitrià:
A Survey on Uncertainty Estimation in Deep Learning Classification Systems from a Bayesian Perspective. ACM Comput. Surv. 54(9): 193:1-193:35 (2022) - [c102]Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià:
Deep Non-crossing Quantiles through the Partial Derivative. AISTATS 2022: 7902-7914 - [c101]Paula Gómez Duran, Jordi Vitrià:
Contextual TV Show Recommendation. CCIA 2022: 125-135 - [c100]Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Object Segmentation of Cluttered Airborne LiDAR Point Clouds. CCIA 2022: 259-268 - [c99]Guillem Pascual, Jordi Vitrià, Santi Seguí:
Time-coherent embeddings for Wireless Capsule Endoscopy. ICPR 2022: 4248-4255 - [i14]Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià:
Deep Non-Crossing Quantiles through the Partial Derivative. CoRR abs/2201.12848 (2022) - [i13]Guillem Pascual, Pablo Laiz, Albert García, Hagen Wenzek, Jordi Vitrià, Santi Seguí:
Time-based Self-supervised Learning for Wireless Capsule Endoscopy. CoRR abs/2204.09773 (2022) - [i12]Mariona Caros, Ariadna Just, Santi Seguí, Jordi Vitrià:
Object Segmentation of Cluttered Airborne LiDAR Point Clouds. CoRR abs/2210.16081 (2022) - 2021
- [j48]Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis:
Graph Convolutional Embeddings for Recommender Systems. IEEE Access 9: 100173-100184 (2021) - [c98]Álvaro Parafita, Jordi Vitrià:
Deep Causal Graphs for Causal Inference, Black-Box Explainability and Fairness. CCIA 2021: 415-424 - [p3]Isabel Amaya-Rodriguez, Javier Civit-Masot, Francisco Luna-Perejon, Lourdes Duran-Lopez, Alexander Rakhlin, Sergey I. Nikolenko, Satoshi Kondo, Pablo Laiz, Jordi Vitrià, Santi Seguí, Patrick Brandao:
ResNet. Computer-Aided Analysis of Gastrointestinal Videos 2021: 99-114 - [i11]Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis:
Graph Convolutional Embeddings for Recommender Systems. CoRR abs/2103.03587 (2021) - [i10]Martí Pedemonte, Jordi Vitrià, Álvaro Parafita:
Algorithmic Causal Effect Identification with causaleffect. CoRR abs/2107.04632 (2021) - 2020
- [j47]José Mena, Oriol Pujol, Jordi Vitrià:
Uncertainty-Based Rejection Wrappers for Black-Box Classifiers. IEEE Access 8: 101721-101746 (2020) - [j46]Axel Brando, Damià Torres, José A. Rodríguez-Serrano, Jordi Vitrià:
Building Uncertainty Models on Top of Black-Box Predictive APIs. IEEE Access 8: 121344-121356 (2020) - [j45]Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí:
WCE polyp detection with triplet based embeddings. Comput. Medical Imaging Graph. 86: 101794 (2020) - [j44]Carlos García Rodríguez, Jordi Vitrià, Oscar Mora:
Uncertainty-Based Human-in-the-Loop Deep Learning for Land Cover Segmentation. Remote. Sens. 12(22): 3836 (2020) - [c97]José Mena Roldán, Oriol Pujol Vila, Jordi Vitrià Marca:
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability. FAT* 2020: 581 - [i9]Álvaro Parafita, Jordi Vitrià:
Causal Inference with Deep Causal Graphs. CoRR abs/2006.08380 (2020)
2010 – 2019
- 2019
- [c96]José Mena, Axel Brando, Oriol Pujol, Jordi Vitrià:
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis. IbPRIA (1) 2019: 29-40 - [c95]Pablo Laiz, Jordi Vitrià, Santi Seguí:
Using the Triplet Loss for Domain Adaptation in WCE. ICCV Workshops 2019: 399-405 - [c94]Álvaro Parafita, Jordi Vitrià:
Explaining Visual Models by Causal Attribution. ICCV Workshops 2019: 4167-4175 - [c93]Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio:
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. NeurIPS 2019: 8836-8846 - [c92]José Mena, Marc Torrent-Moreno, Daniel González, Laura Portell, Oriol Pujol, Jordi Vitrià:
Analysis of Vocational Education and Training and the Labour Market in Catalonia. A Data-Driven Approach. PKDD/ECML Workshops (1) 2019: 522-537 - [i8]Álvaro Parafita, Jordi Vitrià:
Explaining Visual Models by Causal Attribution. CoRR abs/1909.08891 (2019) - [i7]Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio:
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. CoRR abs/1910.12288 (2019) - [i6]Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí:
WCE Polyp Detection with Triplet based Embeddings. CoRR abs/1912.04643 (2019) - [i5]José Mena, Oriol Pujol, Jordi Vitrià:
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability. CoRR abs/1912.12628 (2019) - 2018
- [c91]Guillem Pascual, Santi Seguí, Jordi Vitrià:
Uncertainty Gated Network for Land Cover Segmentation. CVPR Workshops 2018: 276-279 - [c90]Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià:
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. ECML/PKDD (3) 2018: 325-340 - [i4]Guillem Pascual, Santi Seguí, Jordi Vitrià:
Uncertainty Gated Network for Land Cover Segmentation. CoRR abs/1805.11348 (2018) - [i3]Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià:
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. CoRR abs/1807.09011 (2018) - 2017
- [c89]Jordi Vitrià:
Let's Open the Black Box of Deep Learning! eBISS 2017: 134-153 - 2016
- [j43]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Generic feature learning for wireless capsule endoscopy analysis. Comput. Biol. Medicine 79: 163-172 (2016) - [c88]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Deep Learning Features for Wireless Capsule Endoscopy Analysis. CIARP 2016: 326-333 - [i2]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Generic Feature Learning for Wireless Capsule Endoscopy Analysis. CoRR abs/1607.07604 (2016) - 2015
- [j42]Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Motility bar: A new tool for motility analysis of endoluminal videos. Comput. Biol. Medicine 65: 320-330 (2015) - [c87]Santi Seguí, Oriol Pujol, Jordi Vitrià:
Learning to count with deep object features. CVPR Workshops 2015: 90-96 - [i1]Santi Seguí, Oriol Pujol, Jordi Vitrià:
Learning to count with deep object features. CoRR abs/1505.08082 (2015) - 2014
- [j41]Santi Seguí, Michal Drozdzal, Ekaterina Zaytseva, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià:
Detection of Wrinkle Frames in Endoluminal Videos Using Betweenness Centrality Measures for Images. IEEE J. Biomed. Health Informatics 18(6): 1831-1838 (2014) - [c86]Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva:
Intestinal event segmentation for endoluminal video analysis. ICIP 2014: 3592-3596 - 2013
- [j40]Michal Drozdzal, Santi Seguí, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva:
Adaptable image cuts for motility inspection using WCE. Comput. Medical Imaging Graph. 37(1): 72-80 (2013) - [j39]Santi Seguí, Laura Igual, Jordi Vitrià:
Bagged One-Class Classifiers in the Presence of Outliers. Int. J. Pattern Recognit. Artif. Intell. 27(5) (2013) - [c85]Santi Seguí, Ekaterina Zaytseva, Michal Drozdzal, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià:
A new image centrality descriptor for wrinkle frame detection in WCE videos. MVA 2013: 25-28 - [c84]Víctor Borjas, Jordi Vitrià, Petia Radeva:
Gradient Histogram Background Modeling for People Detection in Stationary Camera Environments. MVA 2013: 65-68 - [p2]Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
An Application for Efficient Error-Free Labeling of Medical Images. Multimodal Interaction in Image and Video Applications 2013: 1-16 - [e6]Angel Domingo Sappa, Jordi Vitrià:
Multimodal Interaction in Image and Video Applications. Intelligent Systems Reference Library 48, Springer 2013, ISBN 978-3-642-35931-6 [contents] - 2012
- [j38]Mario Hernández-Tejera, João Miguel Raposo Sanches, Jordi Vitrià:
Selected papers from Iberian Conference on Pattern Recognition and Image Analysis. Pattern Recognit. 45(9): 3047 (2012) - [j37]Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Petia Radeva, Jordi Vitrià, Oriol Pujol:
Minimal design of error-correcting output codes. Pattern Recognit. Lett. 33(6): 693-702 (2012) - [j36]Sergio Escalera, Xavier Baró, Jordi Vitrià, Petia Radeva, Bogdan Raducanu:
Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction. Sensors 12(2): 1702-1719 (2012) - [j35]Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià:
Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy. IEEE Trans. Inf. Technol. Biomed. 16(6): 1341-1352 (2012) - [c83]Víctor Borjas, Michal Drozdzal, Petia Radeva, Jordi Vitrià:
Human Relative Position Detection Based on Mutual Occlusion. CIARP 2012: 332-339 - [c82]Ekaterina Zaytseva, Santi Seguí, Jordi Vitrià:
Sketchable Histograms of Oriented Gradients for Object Detection. CIARP 2012: 374-381 - [c81]David Masip Rodo, Alexander Todorov, Jordi Vitrià Marca:
The Role of Facial Regions in Evaluating Social Dimensions. ECCV Workshops (2) 2012: 210-219 - [c80]Ekaterina Zaytseva, Jordi Vitrià:
A search based approach to non maximum suppression in face detection. ICIP 2012: 1469-1472 - [c79]Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià:
An Integrated Approach to Contextual Face Detection. ICPRAM (2) 2012: 90-97 - [c78]Petia Radeva, Michal Drozdzal, Santi Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Active labeling: Application to wireless endoscopy analysis. HPCS 2012: 174-181 - 2011
- [b1]Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva:
Traffic-Sign Recognition Systems. Springer Briefs in Computer Science, Springer 2011, ISBN 978-1-4471-2244-9, pp. i-vi, 1-96 - [c77]Mario Rojas Quiñones, David Masip, Jordi Vitrià:
Predicting dominance judgements automatically: A machine learning approach. FG 2011: 939-944 - [c76]Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva:
Interactive Labeling of WCE Images. IbPRIA 2011: 143-150 - [c75]Mario Rojas Quiñones, David Masip, Jordi Vitrià:
Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models. IbPRIA 2011: 371-378 - [c74]Arturo Bonnin, Ricard Borràs, Jordi Vitrià:
A cluster-based strategy for active learning of RGB-D object detectors. ICCV Workshops 2011: 1215-1220 - [p1]Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva:
On the Design of Low Redundancy Error-Correcting Output Codes. Ensembles in Machine Learning Applications 2011: 21-38 - [e5]Jordi Vitrià, João Miguel Raposo Sanches, Mario Hernández:
Pattern Recognition and Image Analysis - 5th Iberian Conference, IbPRIA 2011, Las Palmas de Gran Canaria, Spain, June 8-10, 2011. Proceedings. Lecture Notes in Computer Science 6669, Springer 2011, ISBN 978-3-642-21256-7 [contents] - 2010
- [j34]Sergio Escalera, Oriol Pujol, Petia Radeva, Jordi Vitrià, María Teresa Anguera:
Automatic Detection of Dominance and Expected Interest. EURASIP J. Adv. Signal Process. 2010 (2010) - [j33]Bogdan Raducanu, Jordi Vitrià, Ales Leonardis:
Online pattern recognition and machine learning techniques for computer-vision: Theory and applications. Image Vis. Comput. 28(7): 1063-1064 (2010) - [j32]Fernando Vilariño, Panagiota Spyridonos, Fosca De Iorio, Jordi Vitrià, Fernando Azpiroz, Petia Radeva:
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions. IEEE Trans. Medical Imaging 29(2): 246-259 (2010) - [c73]Michal Drozdzal, Laura Igual, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva:
Aligning endoluminal scene sequences in wireless capsule endoscopy. CVPR Workshops 2010: 117-124 - [c72]Mario Rojas Quiñones, David Masip, Alexander Todorov, Jordi Vitrià:
Automatic point-based facial trait judgments evaluation. CVPR 2010: 2715-2720 - [c71]Sergio Escalera, Petia Radeva, Jordi Vitrià, Xavier Baró, Bogdan Raducanu:
Modelling and analyzing multimodal dyadic interactions using social networks. ICMI-MLMI 2010: 52:1-52:8 - [c70]Santi Seguí, Laura Igual, Jordi Vitrià:
Weighted Bagging for Graph Based One-Class Classifiers. MCS 2010: 1-10
2000 – 2009
- 2009
- [j31]Xavier Baró, Sergio Escalera, Jordi Vitrià, Oriol Pujol, Petia Radeva:
Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification. IEEE Trans. Intell. Transp. Syst. 10(1): 113-126 (2009) - [j30]David Masip, Àgata Lapedriza, Jordi Vitrià:
Boosted Online Learning for Face Recognition. IEEE Trans. Syst. Man Cybern. Part B 39(2): 530-538 (2009) - [c69]Xavier Baró, Sergio Escalera, Petia Radeva, Jordi Vitrià:
Generic Object Recognition in Urban Image Databases. CCIA 2009: 27-34 - [c68]Sergio Escalera, Xavier Baró, Jordi Vitrià, Petia Radeva:
Text Detection in Urban Scenes. CCIA 2009: 35-44 - [c67]Sergio Escalera, Oriol Pujol, Petia Radeva, Jordi Vitrià:
Measuring Interest of Human Dyadic Interactions. CCIA 2009: 45-54 - [c66]Pierluigi Casale, Oriol Pujol, Petia Radeva, Jordi Vitrià:
A First Approach to Activity Recognition using Topic Models. CCIA 2009: 74-82 - [c65]Sergio Escalera, R. M. Martinez, Jordi Vitrià, Petia Radeva, María Teresa Anguera:
Dominance detection in face-to-face conversations. CVPR Workshops 2009: 97-102 - [c64]Bogdan Raducanu, Jordi Vitrià, Daniel Gatica-Perez:
You are fired! Nonverbal role analysis in competitive meetings. ICASSP 2009: 1949-1952 - [c63]Xavier Baró, Sergio Escalera, Petia Radeva, Jordi Vitrià:
Visual content layer for scalable object recognition in urban image databases. ICME 2009: 1616-1619 - [c62]Xavier Baró, Jordi Vitrià:
Probabilistic Darwin Machines for Object Detection. IPCV 2009: 839-845 - 2008
- [j29]Bogdan Raducanu, Jordi Vitrià:
Face Recognition by Artificial Vision Systems: a Cognitive Perspective. Int. J. Pattern Recognit. Artif. Intell. 22(5): 899-913 (2008) - [j28]Filiberto Pla, Petia Radeva, Jordi Vitrià:
Non-parametric distance-based classification techniques and their applications. Pattern Anal. Appl. 11(3-4): 223-225 (2008) - [j27]Bogdan Raducanu, Jordi Vitrià:
Online nonparametric discriminant analysis for incremental subspace learning and recognition. Pattern Anal. Appl. 11(3-4): 259-268 (2008) - [j26]Àgata Lapedriza, Santi Seguí, David Masip, Jordi Vitrià:
A sparse Bayesian approach for joint feature selection and classifier learning. Pattern Anal. Appl. 11(3-4): 299-308 (2008) - [j25]Bogdan Raducanu, Jordi Vitrià:
Learning to learn: From smart machines to intelligent machines. Pattern Recognit. Lett. 29(8): 1024-1032 (2008) - [j24]David Masip, Jordi Vitrià:
Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Trans. Neural Networks 19(4): 586-595 (2008) - [c61]Àgata Lapedriza, David Masip, Jordi Vitrià:
On the use of independent tasks for face recognition. CVPR 2008 - [c60]Xavier Baró, Jordi Vitrià:
Evolutionary Object Detection by Means of Naïve Bayes Models Estimation. EvoWorkshops 2008: 235-244 - [c59]Santi Seguí, Laura Igual, Fernando Vilariño, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy. ICVS 2008: 251-260 - [c58]Xavier Baró, Jordi Vitrià:
Weighted Dissociated Dipoles: An Extended Visual Feature Set. ICVS 2008: 281-290 - [c57]Àgata Lapedriza, David Masip, Jordi Vitrià:
Subject Recognition Using a New Approach for Feature Selection. VISAPP (2) 2008: 61-66 - [c56]David Masip, Àgata Lapedriza, Jordi Vitrià:
Multitask Learning - An Application to Incremental Face Recognition. VISAPP (1) 2008: 585-590 - 2007
- [j23]Matthias Sven Keil, Jordi Vitrià:
Pushing it to the Limit: Adaptation with Dynamically Switching Gain Control. EURASIP J. Adv. Signal Process. 2007 (2007) - [j22]Jordi Vitrià, Marco Bressan, Petia Radeva:
Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis. IEEE Trans. Syst. Man Cybern. Part C 37(1): 32-38 (2007) - [c55]Bogdan Raducanu, Jordi Vitrià:
Incremental Subspace Learning for Cognitive Visual Processes. BVAI 2007: 214-223 - [c54]Laura Igual, Santi Seguí, Jordi Vitrià, Fernando Azpiroz, Petia Radeva:
Eigenmotion-Based Detection of Intestinal Contractions. CAIP 2007: 293-300 - [c53]Jordi Vitrià:
Beyond the user: A review of socially aware computing. CCIA 2007: 6-8 - [c52]Xavier Baró, Jordi Vitrià:
Weighted Dissociated Dipoles for Evolutive Learning. CCIA 2007: 189-196 - [c51]Santi Seguí, Laura Igual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
A Semi-supervised Learning Method for Motility Disease Diagnostic. CIARP 2007: 773-782 - [c50]Bogdan Raducanu, Jordi Vitrià:
Online Learning for Human-Robot Interaction. CVPR 2007 - [c49]Àgata Lapedriza, David Masip, Jordi Vitrià:
A Hierarchical Approach for Multi-task Logistic Regression. IbPRIA (2) 2007: 258-265 - [c48]Elvina Motard, Bogdan Raducanu, Viviane Cadenat, Jordi Vitrià:
Incremental On-Line Topological Map Learning for A Visual Homing Application. ICRA 2007: 2049-2054 - [c47]David Masip, Àgata Lapedriza, Jordi Vitrià:
Face verification by sharing knowledge from different subjects. VISAPP (2) 2007: 286-289 - [e4]Alpesh Ranchordas, Helder Araújo, Jordi Vitrià:
VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007 - Volume 1. INSTICC - Institute for Systems and Technologies of Information, Control and Communication 2007, ISBN 978-972-8865-73-3 [contents] - [e3]Alpesh Ranchordas, Helder Araújo, Jordi Vitrià:
VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007 - Volume 2. INSTICC - Institute for Systems and Technologies of Information, Control and Communication 2007, ISBN 978-972-8865-74-0 [contents] - [e2]Alpesh Ranchordas, Helder Araújo, Jordi Vitrià:
VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007 - Volume Special Sessions. INSTICC - Institute for Systems and Technologies of Information, Control and Communication 2007, ISBN 978-972-8865-75-7 [contents] - 2006
- [j21]Àgata Lapedriza, David Masip, Jordi Vitrià:
On the Use of External Face Features for Identity Verification. J. Multim. 1(4): 11-20 (2006) - [j20]Oriol Pujol, Petia Radeva, Jordi Vitrià:
Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1007-1012 (2006) - [j19]David Masip, Jordi Vitrià:
Boosted discriminant projections for nearest neighbor classification. Pattern Recognit. 39(2): 164-170 (2006) - [c46]Xavier Baró, Jordi Vitrià:
Real-time object detection using an evolutionary boosting strategy. CCIA 2006: 9-18 - [c45]Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva:
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions. CIARP 2006: 178-187 - [c44]Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva:
A Machine Learning Framework Using SOMs: Applications in the Intestinal Motility Assessment. CIARP 2006: 188-197 - [c43]Àgata Lapedriza, David Masip, Jordi Vitrià:
Face Verification using External Features. FGR 2006: 132-137 - [c42]Bogdan Raducanu, Jordi Vitrià:
A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information. ICIAR (1) 2006: 922-933 - [c41]Fernando Vilariño, Panagiota Spyridonos, Oriol Pujol, Jordi Vitrià, Petia Radeva:
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy. ICPR (4) 2006: 719-722 - [c40]Àgata Lapedriza, Manuel J. Marín-Jiménez, Jordi Vitrià:
Gender Recognition in Non Controlled Environments. ICPR (3) 2006: 834-837 - [c39]Panagiota Spyridonos, Fernando Vilariño, Jordi Vitrià, Fernando Azpiroz, Petia Radeva:
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions. MICCAI (2) 2006: 161-168 - 2005
- [j18]David Masip, Marco Bressan, Jordi Vitrià:
Feature Extraction Methods for Real-Time Face Detection and Classification. EURASIP J. Adv. Signal Process. 2005(13): 2061-2071 (2005) - [j17]David Masip, Jordi Vitrià:
Feature extraction for nearest neighbor classification: Application to gender recognition. Int. J. Intell. Syst. 20(5): 561-576 (2005) - [j16]David Masip, Ludmila Kuncheva, Jordi Vitrià:
An ensemble-based method for linear feature extraction for two-class problems. Pattern Anal. Appl. 8(3): 227-237 (2005) - [c38]Panagiota Spyridonos, Fernando Vilariño, Jordi Vitrià, Petia Radeva:
Identification of Intestinal Motility Events of Capsule Endoscopy Video Analysis. ACIVS 2005: 531-537 - [c37]Bogdan Raducanu, Jordi Vitrià:
Real-Time Face Tracking for Context-Aware Computing. CCIA 2005: 91-98 - [c36]Àgata Lapedriza, David Masip, Jordi Vitrià:
Experimental Study of the Usefulness of External Face Features for Face Classification. CCIA 2005: 99-106 - [c35]Xavier Baró, Jordi Vitrià:
Feature Selection with Non-Parametric Mutual Information for Adaboost Learning. CCIA 2005: 131-138 - [c34]Àgata Lapedriza, David Masip, Jordi Vitrià:
Are External Face Features Useful for Automatic Face Classification? CVPR Workshops 2005: 151 - [c33]Àgata Lapedriza, David Masip, Jordi Vitrià:
The Contribution of External Features to Face Recognition. IbPRIA (2) 2005: 537-544 - [c32]Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Petia Radeva:
Experiments with SVM and Stratified Sampling with an Imbalanced Problem: Detection of Intestinal Contractions. ICAPR (2) 2005: 783-791 - [e1]Beatriz López, Joaquím Meléndez, Petia Radeva, Jordi Vitrià:
Artificial Intelligence Research and Development, Proceedings of the 8th International Conference of the ACIA, CCIA 2005, October 26-28, 2005, Alguer, Italy. Frontiers in Artificial Intelligence and Applications 131, IOS Press 2005, ISBN 978-1-58603-560-0 [contents] - 2004
- [j15]Marco Bressan, David Guillamet, Jordi Vitrià:
Multiclass Object Recognition Using Class-Conditional Independent Component Analysis. Cybern. Syst. 35(1): 35-61 (2004) - [c31]Petia Radeva, Jordi Vitrià:
Discriminant Projections Embedding for Nearest Neighbor Classification. CIARP 2004: 312-319 - [c30]Oriol Pujol, Petia Radeva, Jordi Vitrià, Josepa Mauri:
Adaboost to Classify Plaque Appearance in IVUS Images. CIARP 2004: 629-636 - 2003
- [j14]Marco Bressan, Jordi Vitrià:
On the Selection and Classification of Independent Features. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1312-1317 (2003) - [j13]Marco Bressan, David Guillamet, Jordi Vitrià:
Using an ICA representation of local color histograms for object recognition. Pattern Recognit. 36(3): 691-701 (2003) - [j12]David Guillamet, Jordi Vitrià:
Evaluation of distance metrics for recognition based on non-negative matrix factorization. Pattern Recognit. Lett. 24(9-10): 1599-1605 (2003) - [j11]David Guillamet, Jordi Vitrià, Bernt Schiele:
Introducing a weighted non-negative matrix factorization for image classification. Pattern Recognit. Lett. 24(14): 2447-2454 (2003) - [j10]Marco Bressan, Jordi Vitrià:
Nonparametric discriminant analysis and nearest neighbor classification. Pattern Recognit. Lett. 24(15): 2743-2749 (2003) - [c29]Baback Moghaddam, David Guillamet, Jordi Vitrià:
Local Appearance-Based Models using High-Order Statistics of Image Features. CVPR (1) 2003: 729-735 - [c28]David Guillamet, Baback Moghaddam, Jordi Vitrià:
Modeling High-Order Dependencies in Local Appearance Models. IbPRIA 2003: 308-316 - [c27]David Guillamet, Jordi Vitrià:
An Experimental Evaluation of K-nn for Linear Transforms of Positive Data. IbPRIA 2003: 317-325 - [c26]David Masip, Jordi Vitrià:
An Experimental Comparison of Dimensionality Reduction for Face Verification Methods. IbPRIA 2003: 530-537 - [c25]David Guillamet, Baback Moghaddam, Jordi Vitrià:
Higher-order dependencies in local appearance models. ICIP (1) 2003: 213-216 - 2002
- [j9]Juan María Sánchez, Xavier Binefa, Jordi Vitrià:
Shot Partitioning Based Recognition of TV Commercials. Multim. Tools Appl. 18(3): 233-247 (2002) - [c24]Marco Bressan, Jordi Vitrià:
Feature Subset Selection in an ICA Space. CCIA 2002: 196-206 - [c23]David Guillamet, Jordi Vitrià:
Non-negative Matrix Factorization for Face Recognition. CCIA 2002: 336-344 - [c22]Petia Radeva, Marco Bressan, A. Tovar, Jordi Vitrià:
Bayesian Classification for Inspection of Industrial Products. CCIA 2002: 399-407 - [c21]Marco Bressan, Jordi Vitrià:
Improving Naive Bayes Using Class-Conditional ICA. IBERAMIA 2002: 1-10 - [c20]David Guillamet, Bernt Schiele, Jordi Vitrià:
Analyzing Non-Negative Matrix Factorization for Image Classification. ICPR (2) 2002: 116-119 - [c19]David Guillamet, Jordi Vitrià:
Determining a Suitable Metric when Using Non-Negative Matrix Factorization. ICPR (2) 2002: 128-131 - 2001
- [j8]Albert Pujol, Jordi Vitrià, Felipe Lumbreras, Juan José Villanueva:
Topological principal component analysis for face encoding and recognition. Pattern Recognit. Lett. 22(6/7): 769-776 (2001) - [j7]Aleix M. Martínez, Jordi Vitrià:
Clustering in image space for place recognition and visual annotations for human-robot interaction. IEEE Trans. Syst. Man Cybern. Part B 31(5): 669-682 (2001) - [c18]David Guillamet, Jordi Vitrià:
Unsupervised Learning of Part-Based Representations. CAIP 2001: 700-708 - [c17]David Guillamet, Marco Bressan, Jordi Vitrià:
A Weighted Non-Negative Matrix Factorization for Local Representations. CVPR (1) 2001: 942-947 - [c16]Marco Bressan, David Guillamet, Jordi Vitrià:
Using an ICA Representation of High Dimensional Data for Object Recognition and Classification. CVPR (1) 2001: 1004-1009 - [c15]David Guillamet, Jordi Vitrià:
Discriminant Basis for Object Classification. ICIAP 2001: 256-261 - [c14]Jordi Vitrià, Petia Radeva:
Region-based approach for discriminant snakes. ICIP (2) 2001: 801-804 - [c13]Marco Bressan, Jordi Vitrià:
Independent Modes of Variation in Point Distribution Models. IWVF 2001: 123-134 - 2000
- [j6]Aleix M. Martínez, Jordi Vitrià:
Learning mixture models using a genetic version of the EM algorithm. Pattern Recognit. Lett. 21(8): 759-769 (2000) - [j5]Juan María Sánchez, Xavier Binefa, Jordi Vitrià, Petia Radeva:
Linking Visual Cues and Semantic Terms Under Specific Digital Video Domains. J. Vis. Lang. Comput. 11(3): 253-271 (2000) - [c12]Ricardo Toledo, Xavier Orriols, Xavier Binefa, Petia Radeva, Jordi Vitrià, Juan José Villanueva:
Tracking of Elongated Structures Using Statistical Snakes. CVPR 2000: 1157-1162 - [c11]David Guillamet, Jordi Vitrià:
A Comparison of Global versus Local Color Histograms for Object Recognition. ICPR 2000: 2422-2425 - [c10]Ricardo Toledo, Xavier Orriols, Petia Radeva, Xavier Binefa, Jordi Vitrià, Cristina Cañero Morales, Juan José Villanueva:
Eigensnakes for Vessel Segmentation in Angiography. ICPR 2000: 4340-4343 - [c9]Xavier Orriols, Ricardo Toledo, Xavier Binefa, Petia Radeva, Jordi Vitrià, Juan José Villanueva:
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models. ICPR 2000: 7018-7021 - [c8]Fernando De la Torre, Javier Melenchón, Jordi Vitrià, Petia Radeva:
Eigenfiltering for Flexible Eigentracking (EFE). ICPR 2000: 7118-7121 - [c7]David Guillamet, Jordi Vitrià:
Local Discriminant Regions Using Support Vector Machines for Object Recognition. SSPR/SPR 2000: 550-559
1990 – 1999
- 1999
- [c6]Jordi Vitrià, Petia Radeva, Xavier Binefa:
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition. CAIP 1999: 17-24 - [c5]Juan María Sánchez, Xavier Binefa, Jordi Vitrià, Petia Radeva:
Local Color Analysis for Scene Break Detection Applied to TV Commercials Recognition. VISUAL 1999: 237-244 - 1997
- [j4]María Vanrell, Jordi Vitrià:
Optimal 3 x 3 decomposable disks for morphological transformations. Image Vis. Comput. 15(11): 845-854 (1997) - [j3]María Vanrell, Jordi Vitrià, F. Xavier Roca:
A multidimensional scaling approach to explore the behavior of a texture perception algorithm. Mach. Vis. Appl. 9(5/6): 262-271 (1997) - 1996
- [j2]Jordi Vitrià, Jorge Llacer:
Reconstructing 3D light microscopic images using the EM algorithm. Pattern Recognit. Lett. 17(14): 1491-1498 (1996) - [c4]María Vanrell, Jordi Vitrià:
3×3 decomposition of circular structuring elements. ICIP (3) 1996: 5-8 - [c3]Xavier Binefa, Jordi Vitrià:
A contrast-based focusing criterium. ICPR 1996: 805-809 - [c2]Javier Sánchez, Jordi Vitrià:
ViLi (Vision LISP): a software environment for teaching image processing and analysis. ITiCSE 1996: 234 - 1994
- [c1]Cristophe Gratin, Jordi Vitrià, Francesc Moreso, Daniel Serón:
Texture Classification Using Neural Networks and Local Granulometries. ISMM 1994: 309-316 - 1992
- [j1]Jordi Vitrià, Xavier Binefa, Juan José Villanueva:
Morphological algorithms for visual analysis of integrated circuits. J. Vis. Commun. Image Represent. 3(2): 194-202 (1992)
Coauthor Index
David Masip
aka: David Masip Rodo
aka: David Masip Rodo
Oriol Pujol
aka: Oriol Pujol Vila
aka: Oriol Pujol Vila
[j43] [c88] [i2] [j42] [j41] [c86] [j40] [c85] [c84] [p2] [j37] [j36] [j35] [c83] [c79] [c78] [b1] [c76] [p1] [j34] [j32] [c73] [c71] [j31] [c69] [c68] [c67] [c66] [c65] [c63] [j28] [c59] [j22] [c54] [c51] [j20] [c45] [c44] [c41] [c39] [c38] [c32] [e1] [c31] [c30] [c22] [c14] [j5] [c12] [c10] [c9] [c8] [c6] [c5]
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