| Author |
Title |
Year |
Publication  |
Volume |
Pages |
| Debora Gil; Oriol Ramos Terrades; Raquel Perez |
Topological Radiomics (TOPiomics): Early Detection of Genetic Abnormalities in Cancer Treatment Evolution |
2021 |
Extended Abstracts GEOMVAP 2019, Trends in Mathematics 15 |
15 |
89–93 |
| David Masip; Agata Lapedriza; Jordi Vitria |
Measuring External Face Appearance for Face Classification. |
2007 |
Face Recognition, Ed. Kresimir Delac and Mislav Grgic, pp. 287–307, ISBN 978–3–902613–03–5, I–Tech Education and Publishing |
|
|
| Fadi Dornaika; Bogdan Raducanu |
Analysis and Recognition of Facial Expressions in Videos Using Facial Shape Deformation |
2012 |
Facial Expressions: Dynamic Patterns, Impairments and Social Perceptions |
|
157-178 |
| Estefania Talavera; Alexandre Cola; Nicolai Petkov; Petia Radeva |
Towards Egocentric Person Re-identification and Social Pattern Analysis. |
2019 |
Frontiers in Artificial Intelligence and Applications |
310 |
203 - 211 |
| Xavier Baro; Jordi Vitria |
Feature Selection with Non-Parametric Mutual Information for Adaboost Learning |
2005 |
Frontiers in Artificial Intelligence and Applications / Artificial intelligence Research and Development, 131:131–138, Eds: B. Lopez, J. Melendez, P. Radeva, J. Vitria, IOS Press, ISBN: 1–58603–560–6 |
|
|
| Jordi Vitria; Petia Radeva; I. Aguilo |
Recent Advances in Artificial Intelligence Research and Development |
2004 |
Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 |
|
|
| Susana Alvarez; Xavier Otazu; Maria Vanrell |
Image Segmentation Based on Inter-Feature Distance Maps |
2005 |
Frontiers in Artificial Intelligence and Applications, IOS Press, 131: 75–82 |
|
|
| Misael Rosales; Petia Radeva; Oriol Rodriguez; Debora Gil |
Suppression of IVUS Image Rotation. A Kinematic Approach |
2005 |
Functional Imaging and Modeling of the Heart |
3504 |
889-892 |
| David Roche; Debora Gil; Jesus Giraldo |
Mathematical modeling of G protein-coupled receptor function: What can we learn from empirical and mechanistic models? |
2014 |
G Protein-Coupled Receptors – Modeling and Simulation Advances in Experimental Medicine and Biology |
796 |
159-181 |
| Patricia Suarez; Angel Sappa; Boris X. Vintimilla |
Deep learning-based vegetation index estimation |
2021 |
Generative Adversarial Networks for Image-to-Image Translation |
|
205-234 |
| Maryam Asadi-Aghbolaghi; Albert Clapes; Marco Bellantonio; Hugo Jair Escalante; Victor Ponce; Xavier Baro; Isabelle Guyon; Shohreh Kasaei; Sergio Escalera |
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey |
2017 |
Gesture Recognition |
|
539-578 |
| Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados |
Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces |
2013 |
Graph Embedding for Pattern Analysis |
|
1-26 |
| Miquel Ferrer; I. Bardaji; Ernest Valveny; Dimosthenis Karatzas; Horst Bunke |
Median Graph Computation by Means of Graph Embedding into Vector Spaces |
2013 |
Graph Embedding for Pattern Analysis |
|
45-72 |
| Josep Llados; Ernest Valveny; Gemma Sanchez; Enric Marti |
Symbol recognition: current advances and perspectives |
2002 |
Graphics Recognition Algorithms And Applications |
2390 |
104-128 |
| Josep Llados; Gemma Sanchez; Enric Marti |
A string based method to recognize symbols and structural textures in architectural plans |
1998 |
Graphics Recognition Algorithms and Systems Second International Workshop, GREC' 97 Nancy, France, August 22–23, 1997 Selected Papers |
1389 |
91-103 |
