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ORCIDArmand Vilalta
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2020 – today
- 2022
[j3]Javier Béjar
, Raquel Pérez, Armand Vilalta, Sergio Álvarez-Napagao, Dario Garcia-Gasulla:
Large scale prediction of sick leave duration with nonlinear survival analysis algorithms. Expert Syst. Appl. 198: 116760 (2022)- 2021
- [c8]Alejandro Hernandez Ruiz, Armand Vilalta, Francesc Moreno-Noguer:
Neural Cellular Automata Manifold. CVPR 2021: 10020-10028 - 2020
- [i8]Alejandro Hernandez Ruiz, Armand Vilalta, Francesc Moreno-Noguer:
Neural Cellular Automata Manifold. CoRR abs/2006.12155 (2020)
2010 – 2019
- 2019
- [j2]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Eduardo Ulises Moya-Sánchez, Ulises Cortés:
Studying the impact of the Full-Network embedding on multimodal pipelines. Semantic Web 10(5): 909-923 (2019) - [c7]Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesús Labarta, Eduard Ayguadé:
Feature Discriminativity Estimation in CNNs for Transfer Learning. CCIA 2019: 64-73 - [c6]Manuel Gijón Agudo, Armand Vilalta Arias, Dario Garcia-Gasulla:
Analyzing Distances in Word Embeddings and Their Relation with Seme Analysis. CCIA 2019: 407-416 - [i7]Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesús Labarta, Eduard Ayguadé:
Feature discriminativity estimation in CNNs for transfer learning. CoRR abs/1911.03332 (2019) - 2018
- [j1]Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
On the Behavior of Convolutional Nets for Feature Extraction. J. Artif. Intell. Res. 61: 563-592 (2018) - [c5]Raquel Pérez-Arnal, Armand Vilalta, Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
A Visual Distance for WordNet. CCIA 2018: 266-270 - [c4]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks. ICBK 2018: 168-175 - [i6]Raquel Pérez-Arnal, Armand Vilalta, Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
A Visual Distance for WordNet. CoRR abs/1804.09558 (2018) - 2017
- [c3]Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm. COMPLEX NETWORKS 2017: 229-240 - [c2]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Building Graph Representations of Deep Vector Embeddings. SemDeep@IWCS 2017: 9-15 - [c1]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Full-Network Embedding in a Multimodal Embedding Pipeline. SemDeep@IWCS 2017: 24-32 - [i5]Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
On the Behavior of Convolutional Nets for Feature Extraction. CoRR abs/1703.01127 (2017) - [i4]Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Fluid Communities: A Community Detection Algorithm. CoRR abs/1703.09307 (2017) - [i3]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks. CoRR abs/1705.07706 (2017) - [i2]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Building Graph Representations of Deep Vector Embeddings. CoRR abs/1707.07465 (2017) - [i1]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Full-Network Embedding in a Multimodal Embedding Pipeline. CoRR abs/1707.09872 (2017)
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