Armand Vilalta

According to our database, Armand Vilalta authored at least 14 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Large scale prediction of sick leave duration with nonlinear survival analysis algorithms.

Javier Béjar, Raquel Pérez, Armand Vilalta, Sergio Álvarez-Napagao, Dario Garcia-Gasulla

Expert Syst. Appl., 2022

2021

Neural Cellular Automata Manifold.

Alejandro Hernandez Ruiz, Armand Vilalta, Francesc Moreno-Noguer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Studying the impact of the Full-Network embedding on multimodal pipelines.

Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Eduardo Ulises Moya-Sánchez, Ulises Cortés

Semantic Web, 2019

Feature Discriminativity Estimation in CNNs for Transfer Learning.

Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesús Labarta, Eduard Ayguadé

Proceedings of the Artificial Intelligence Research and Development, 2019

Analyzing Distances in Word Embeddings and Their Relation with Seme Analysis.

Manuel Gijón Agudo, Armand Vilalta Arias, Dario Garcia-Gasulla

Proceedings of the Artificial Intelligence Research and Development, 2019

2018

On the Behavior of Convolutional Nets for Feature Extraction.

Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

J. Artif. Intell. Res., 2018

An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks.

Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

A Visual Distance for WordNet.

Raquel Pérez-Arnal, Armand Vilalta, Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesús Labarta

Proceedings of the Artificial Intelligence Research and Development, 2018

2017

Full-Network Embedding in a Multimodal Embedding Pipeline.

Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

CoRR, 2017

Fluid Communities: A Community Detection Algorithm.

Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

CoRR, 2017

An Out-of-the-box Full-network Embedding for Convolutional Neural Networks.

Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

CoRR, 2017

Full-Network Embedding in a Multimodal Embedding Pipeline.

Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

Proceedings of the 2nd Workshop on Semantic Deep Learning, 2017

Building Graph Representations of Deep Vector Embeddings.

Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

Proceedings of the 2nd Workshop on Semantic Deep Learning, 2017

Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm.

Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura

Proceedings of the Complex Networks & Their Applications VI, 2017