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2020 – today
- 2024
[b2]Laura Igual, Santi Seguí:
Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications, Second Edition. Undergraduate Topics in Computer Science, Springer 2024, ISBN 978-3-031-48955-6, pp. 1-243- [j14]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) - [j13]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) - 2023
- [j12]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) - [j11]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) - [c23]Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Addressing Scale and Density Challenges in LiDAR Point Classification. CCIA 2023: 124-127 - [c22]Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí:
Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy. CCIA 2023: 134-135 - [c21]Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data. MVA 2023: 1-6 - [c20]Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí:
Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets. MVA 2023: 1-5 - [i7]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
- [j10]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) - [c19]Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Object Segmentation of Cluttered Airborne LiDAR Point Clouds. CCIA 2022: 259-268 - [c18]Guillem Pascual, Jordi Vitrià, Santi Seguí:
Time-coherent embeddings for Wireless Capsule Endoscopy. ICPR 2022: 4248-4255 - [i6]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) - [i5]Mariona Caros, Ariadna Just, Santi Seguí, Jordi Vitrià:
Object Segmentation of Cluttered Airborne LiDAR Point Clouds. CoRR abs/2210.16081 (2022) - 2021
- [j9]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c17]Pere Gilabert, Santi Seguí:
Addressing the cold-start problem with a two-branch architecture for fair tweet recommendation. RecSys Challenge 2021: 34-38 - [p2]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 - 2020
- [j8]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) - [c16]Pere Gilabert, Santi Seguí:
Gradient Boosting and Language Model Ensemble for Tweet Recommendation. RecSys Challenge 2020: 24-28
2010 – 2019
- 2019
- [c15]Pablo Laiz, Jordi Vitrià, Santi Seguí:
Using the Triplet Loss for Domain Adaptation in WCE. ICCV Workshops 2019: 399-405 - [i4]Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí:
WCE Polyp Detection with Triplet based Embeddings. CoRR abs/1912.04643 (2019) - 2018
- [c14]Guillem Pascual, Santi Seguí, Jordi Vitrià:
Uncertainty Gated Network for Land Cover Segmentation. CVPR Workshops 2018: 276-279 - [i3]Guillem Pascual, Santi Seguí, Jordi Vitrià:
Uncertainty Gated Network for Land Cover Segmentation. CoRR abs/1805.11348 (2018) - 2017
- [b1]Laura Igual, Santi Seguí:
Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications. Undergraduate Topics in Computer Science, Springer 2017, ISBN 978-3-319-50016-4, pp. 1-215 - [c13]Hadi Keivan Ekbatani, Oriol Pujol, Santi Seguí:
Synthetic Data Generation for Deep Learning in Counting Pedestrians. ICPRAM 2017: 318-323 - 2016
- [j7]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) - [c12]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
- [j6]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) - [c11]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
- [j5]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) - [c10]Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva:
Intestinal event segmentation for endoluminal video analysis. ICIP 2014: 3592-3596 - 2013
- [j4]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) - [j3]Santi Seguí, Laura Igual, Jordi Vitrià:
Bagged One-Class Classifiers in the Presence of Outliers. Int. J. Pattern Recognit. Artif. Intell. 27(5) (2013) - [c9]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 - [p1]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 - 2012
- [j2]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) - [c8]Ekaterina Zaytseva, Santi Seguí, Jordi Vitrià:
Sketchable Histograms of Oriented Gradients for Object Detection. CIARP 2012: 374-381 - [c7]Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià:
An Integrated Approach to Contextual Face Detection. ICPRAM (2) 2012: 90-97 - [c6]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
- [c5]Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva:
Interactive Labeling of WCE Images. IbPRIA 2011: 143-150 - 2010
- [c4]Santi Seguí, Laura Igual, Jordi Vitrià:
Weighted Bagging for Graph Based One-Class Classifiers. MCS 2010: 1-10
2000 – 2009
- 2008
- [j1]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) - [c3]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 - 2007
- [c2]Laura Igual, Santi Seguí, Jordi Vitrià, Fernando Azpiroz, Petia Radeva:
Eigenmotion-Based Detection of Intestinal Contractions. CAIP 2007: 293-300 - [c1]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
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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