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Dario Garcia-Gasulla
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Publications
- 2022
- [j12]Ferran Parés, Anna Arias-Duart, Dario Garcia-Gasulla, Gema Campo-Francés, Nina Viladrich, Eduard Ayguadé, Jesús Labarta:
The MAMe dataset: on the relevance of high resolution and variable shape image properties. Appl. Intell. 52(10): 11703-11724 (2022) - 2021
- [j9]Ferran Parés Pont, Pedro Megias, Dario Garcia-Gasulla, Marta Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta:
Size & Shape Matters: The Need of HPC Benchmarks of High Resolution Image Training for Deep Learning. Supercomput. Front. Innov. 8(1): 28-44 (2021) - 2020
- [c23]Marc Josep-Fabregó, Xavier Teruel, Victor Gimenez-Abalos, Davide Cirillo, Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Marta Garcia-Gasulla, Eduard Ayguadé, Alfonso Valencia:
GOPHER, an HPC Framework for Large Scale Graph Exploration and Inference. ISC Workshops 2020: 211-222 - [i16]Ferran Parés, Anna Arias-Duart, Dario Garcia-Gasulla, Gema Campo-Francés, Nina Viladrich, Eduard Ayguadé, Jesús Labarta:
A Closer Look at Art Mediums: The MAMe Image Classification Dataset. CoRR abs/2007.13693 (2020) - 2019
- [j7]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) - [c22]Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents, Ferran Parés, Ulises Cortés, Jesús Labarta, Eduard Ayguadé:
Random Forest as a Tumour Genetic Marker Extractor. CCIA 2019: 35-44 - [c21]Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesús Labarta, Eduard Ayguadé:
Feature Discriminativity Estimation in CNNs for Transfer Learning. CCIA 2019: 64-73 - [i14]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) - [i12]Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents, Ferran Parés, Ulises Cortés, Jesús Labarta, Eduard Ayguadé:
Random Forest as a Tumour Genetic Marker Extractor. CoRR abs/1911.11471 (2019) - 2018
- [j6]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) - [c18]Raquel Pérez-Arnal, Armand Vilalta, Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
A Visual Distance for WordNet. CCIA 2018: 266-270 - [c16]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 - [i11]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
- [j5]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Javier Béjar, Ulises Cortés, Toyotaro Suzumura, R. Chen:
A visual embedding for the unsupervised extraction of abstract semantics. Cogn. Syst. Res. 42: 73-81 (2017) - [c15]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 - [c14]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 - [c13]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 - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - 2016
- [c12]Dario Garcia-Gasulla, Jonathan Moreno, Raúl Ramos-Pollán, Romel Casadiegos Barrios, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta, Toyotaro Suzumura:
On the Representativeness of Convolutional Neural Networks Layers. CCIA 2016: 29-38 - [i4]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Ulises Cortés:
Limitations and Alternatives for the Evaluation of Large-scale Link Prediction. CoRR abs/1611.00547 (2016) - [i3]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Hierarchical Hyperlink Prediction for the WWW. CoRR abs/1611.09084 (2016) - 2015
- [c11]Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
Evaluating Link Prediction on Large Graphs. CCIA 2015: 90-99 - [i2]Dario Garcia-Gasulla, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
Extracting Visual Patterns from Deep Learning Representations. CoRR abs/1507.08818 (2015)
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last updated on 2024-02-06 23:47 CET by the dblp team
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