Jordi Vitrià

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 50

Top Venues

CoRR

CCIA

IEEE Access

Comput. Biol. Medicine

Publications

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 (2024)
Alexandre Trilla, Ossee Yiboe, Nenad Mijatovic, Jordi Vitrià
Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept. CoRR (2024)
Roger Pros, Jordi Vitrià
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation. CoRR (2024)
Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià
Effective Training and Inference Strategies for Point Classification in LiDAR Scenes. Remote. Sens. 16 (12) (2024)
Arnau Quindós, Pablo Laiz, Jordi Vitrià, Santi Seguí
Self-supervised out-of-distribution detection in wireless capsule endoscopy images. Artif. Intell. Medicine 143 (2023)
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 (2023)
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) (2023)
Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data. CoRR (2023)
Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data. MVA (2023)
Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià
Addressing Scale and Density Challenges in LiDAR Point Classification. CCIA (2023)
Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí
Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets. MVA (2023)
Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí
Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy. CCIA (2023)
Mariona Caros, Ariadna Just, Santi Seguí, Jordi Vitrià
Object Segmentation of Cluttered Airborne LiDAR Point Clouds. CoRR (2022)
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) (2022)
Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià
Object Segmentation of Cluttered Airborne LiDAR Point Clouds. CCIA (2022)
Álvaro Parafita, Jordi Vitrià
Estimand-Agnostic Causal Query Estimation With Deep Causal Graphs. IEEE Access 10 (2022)
Guillem Pascual, Pablo Laiz, Albert García, Hagen Wenzek, Jordi Vitrià, Santi Seguí
Time-based Self-supervised Learning for Wireless Capsule Endoscopy. CoRR (2022)
Paula Gómez Duran, Jordi Vitrià
Contextual TV Show Recommendation. CCIA (2022)
Guillem Pascual, Jordi Vitrià, Santi Seguí
Time-coherent embeddings for Wireless Capsule Endoscopy. ICPR (2022)
Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià
Deep Non-Crossing Quantiles through the Partial Derivative. CoRR (2022)
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 (2022)
Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià
Deep Non-crossing Quantiles through the Partial Derivative. AISTATS (2022)
Álvaro Parafita, Jordi Vitrià
Deep Causal Graphs for Causal Inference, Black-Box Explainability and Fairness. CCIA (2021)
Martí Pedemonte, Jordi Vitrià, Álvaro Parafita
Algorithmic Causal Effect Identification with causaleffect. CoRR (2021)
Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
Graph Convolutional Embeddings for Recommender Systems. CoRR (2021)
Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
Graph Convolutional Embeddings for Recommender Systems. IEEE Access 9 (2021)
Carlos García Rodríguez, Jordi Vitrià, Oscar Mora
Uncertainty-Based Human-in-the-Loop Deep Learning for Land Cover Segmentation. Remote. Sens. 12 (22) (2020)
Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí
WCE polyp detection with triplet based embeddings. Comput. Medical Imaging Graph. 86 (2020)
Álvaro Parafita, Jordi Vitrià
Causal Inference with Deep Causal Graphs. CoRR (2020)
José Mena, Oriol Pujol, Jordi Vitrià
Uncertainty-Based Rejection Wrappers for Black-Box Classifiers. IEEE Access 8 (2020)
Axel Brando, Damià Torres, José A. Rodríguez-Serrano, Jordi Vitrià
Building Uncertainty Models on Top of Black-Box Predictive APIs. IEEE Access 8 (2020)
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)
Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. NeurIPS (2019)
Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí
WCE Polyp Detection with Triplet based Embeddings. CoRR (2019)
José Mena, Axel Brando, Oriol Pujol, Jordi Vitrià
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis. IbPRIA (1) (2019)
Álvaro Parafita, Jordi Vitrià
Explaining Visual Models by Causal Attribution. CoRR (2019)
José Mena, Oriol Pujol, Jordi Vitrià
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability. CoRR (2019)
Pablo Laiz, Jordi Vitrià, Santi Seguí
Using the Triplet Loss for Domain Adaptation in WCE. ICCV Workshops (2019)
Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. CoRR (2019)
Guillem Pascual, Santi Seguí, Jordi Vitrià
Uncertainty Gated Network for Land Cover Segmentation. CVPR Workshops (2018)
Guillem Pascual, Santi Seguí, Jordi Vitrià
Uncertainty Gated Network for Land Cover Segmentation. CoRR (2018)
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)
Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. CoRR (2018)
Jordi Vitrià
Let's Open the Black Box of Deep Learning! eBISS (2017)
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Generic Feature Learning for Wireless Capsule Endoscopy Analysis. CoRR (2016)
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 (2016)
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Deep Learning Features for Wireless Capsule Endoscopy Analysis. CIARP (2016)
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 (2015)
Santi Seguí, Oriol Pujol, Jordi Vitrià
Learning to count with deep object features. CVPR Workshops (2015)
Santi Seguí, Oriol Pujol, Jordi Vitrià
Learning to count with deep object features. CoRR (2015)
Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
Intestinal event segmentation for endoluminal video analysis. ICIP (2014)
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) (2014)
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) (2013)
Víctor Borjas, Jordi Vitrià, Petia Radeva
Gradient Histogram Background Modeling for People Detection in Stationary Camera Environments. MVA (2013)
Santi Seguí, Laura Igual, Jordi Vitrià
Bagged One-Class Classifiers in the Presence of Outliers. Int. J. Pattern Recognit. Artif. Intell. 27 (5) (2013)
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)
Víctor Borjas, Michal Drozdzal, Petia Radeva, Jordi Vitrià
Human Relative Position Detection Based on Mutual Occlusion. CIARP (2012)
Ekaterina Zaytseva, Jordi Vitrià
A search based approach to non maximum suppression in face detection. ICIP (2012)
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) (2012)
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) (2012)
Petia Radeva, Michal Drozdzal, Santi Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Active labeling: Application to wireless endoscopy analysis. HPCS (2012)
Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià
An Integrated Approach to Contextual Face Detection. ICPRAM (2) (2012)
Sergio Escalera, Xavier Baró, Jordi Vitrià, Petia Radeva, Bogdan Raducanu
Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction. Sensors 12 (2) (2012)
Ekaterina Zaytseva, Santi Seguí, Jordi Vitrià
Sketchable Histograms of Oriented Gradients for Object Detection. CIARP (2012)
Mario Hernández-Tejera, João Miguel Raposo Sanches, Jordi Vitrià
Selected papers from Iberian Conference on Pattern Recognition and Image Analysis. Pattern Recognit. 45 (9) (2012)
Arturo Bonnin, Ricard Borràs, Jordi Vitrià
A cluster-based strategy for active learning of RGB-D object detectors. ICCV Workshops (2011)
Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva
Interactive Labeling of WCE Images. IbPRIA (2011)
Mario Rojas Quiñones, David Masip, Jordi Vitrià
Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models. IbPRIA (2011)
Mario Rojas Quiñones, David Masip, Jordi Vitrià
Predicting dominance judgements automatically: A machine learning approach. FG (2011)
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)
Bogdan Raducanu, Jordi Vitrià, Ales Leonardis
Online pattern recognition and machine learning techniques for computer-vision: Theory and applications. Image Vis. Comput. 28 (7) (2010)
Michal Drozdzal, Laura Igual, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
Aligning endoluminal scene sequences in wireless capsule endoscopy. CVPR Workshops (2010)
Sergio Escalera, Petia Radeva, Jordi Vitrià, Xavier Baró, Bogdan Raducanu
Modelling and analyzing multimodal dyadic interactions using social networks. ICMI-MLMI (2010)
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) (2010)
Santi Seguí, Laura Igual, Jordi Vitrià
Weighted Bagging for Graph Based One-Class Classifiers. MCS (2010)
Mario Rojas Quiñones, David Masip, Alexander Todorov, Jordi Vitrià
Automatic point-based facial trait judgments evaluation. CVPR (2010)
Xavier Baró, Sergio Escalera, Petia Radeva, Jordi Vitrià
Visual content layer for scalable object recognition in urban image databases. ICME (2009)
Sergio Escalera, Oriol Pujol, Petia Radeva, Jordi Vitrià
Measuring Interest of Human Dyadic Interactions. CCIA (2009)
Sergio Escalera, R. M. Martinez, Jordi Vitrià, Petia Radeva, María Teresa Anguera
Dominance detection in face-to-face conversations. CVPR Workshops (2009)
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) (2009)
Xavier Baró, Jordi Vitrià
Probabilistic Darwin Machines for Object Detection. IPCV (2009)
Xavier Baró, Sergio Escalera, Petia Radeva, Jordi Vitrià
Generic Object Recognition in Urban Image Databases. CCIA (2009)
David Masip, Àgata Lapedriza, Jordi Vitrià
Boosted Online Learning for Face Recognition. IEEE Trans. Syst. Man Cybern. Part B 39 (2) (2009)
Sergio Escalera, Xavier Baró, Jordi Vitrià, Petia Radeva
Text Detection in Urban Scenes. CCIA (2009)
Bogdan Raducanu, Jordi Vitrià, Daniel Gatica-Perez
You are fired! Nonverbal role analysis in competitive meetings. ICASSP (2009)
Pierluigi Casale, Oriol Pujol, Petia Radeva, Jordi Vitrià
A First Approach to Activity Recognition using Topic Models. CCIA (2009)
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) (2008)
Bogdan Raducanu, Jordi Vitrià
Face Recognition by Artificial Vision Systems: a Cognitive Perspective. Int. J. Pattern Recognit. Artif. Intell. 22 (5) (2008)
Bogdan Raducanu, Jordi Vitrià
Online nonparametric discriminant analysis for incremental subspace learning and recognition. Pattern Anal. Appl. 11 (3-4) (2008)
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)
Xavier Baró, Jordi Vitrià
Evolutionary Object Detection by Means of Naïve Bayes Models Estimation. EvoWorkshops (2008)
David Masip, Àgata Lapedriza, Jordi Vitrià
Multitask Learning - An Application to Incremental Face Recognition. VISAPP (1) (2008)
Xavier Baró, Jordi Vitrià
Weighted Dissociated Dipoles: An Extended Visual Feature Set. ICVS (2008)
David Masip, Jordi Vitrià
Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Trans. Neural Networks 19 (4) (2008)
Bogdan Raducanu, Jordi Vitrià
Learning to learn: From smart machines to intelligent machines. Pattern Recognit. Lett. 29 (8) (2008)
Àgata Lapedriza, David Masip, Jordi Vitrià
Subject Recognition Using a New Approach for Feature Selection. VISAPP (2) (2008)
Àgata Lapedriza, David Masip, Jordi Vitrià
On the use of independent tasks for face recognition. CVPR (2008)
Filiberto Pla, Petia Radeva, Jordi Vitrià
Non-parametric distance-based classification techniques and their applications. Pattern Anal. Appl. 11 (3-4) (2008)
Bogdan Raducanu, Jordi Vitrià
Online Learning for Human-Robot Interaction. CVPR (2007)
Jordi Vitrià
Beyond the user: A review of socially aware computing. CCIA (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jordi Vitrià