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Author
Title
Year
Publication
Volume
Pages
Links
Aura Hernandez-Sabate; Meritxell Joanpere; Nuria Gorgorio; Lluis Albarracin
Mathematics learning opportunities when playing a Tower Defense Game
2015
International Journal of Serious Games
2
57-71
Katerine Diaz; Aura Hernandez-Sabate; Antonio Lopez
A reduced feature set for driver head pose estimation
2016
Applied Soft Computing
45
98-107
Aura Hernandez-Sabate; Lluis Albarracin; Daniel Calvo; Nuria Gorgorio
EyeMath: Identifying Mathematics Problem Solving Processes in a RTS Video Game
2016
5th International Conference Games and Learning Alliance
10056
50-59
Katerine Diaz; Jesus Martinez del Rincon; Aura Hernandez-Sabate
Decremental generalized discriminative common vectors applied to images classification
2017
Knowledge-Based Systems
131
46-57
Katerine Diaz; Jesus Martinez del Rincon; Aura Hernandez-Sabate; Marçal Rusiñol; Francesc J. Ferri
Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction
2018
Journal of Mathematical Imaging and Vision
60
512-524
Katerine Diaz; Francesc J. Ferri; Aura Hernandez-Sabate
An overview of incremental feature extraction methods based on linear subspaces
2018
Knowledge-Based Systems
145
219-235
Katerine Diaz; Jesus Martinez del Rincon; Aura Hernandez-Sabate; Debora Gil
Continuous head pose estimation using manifold subspace embedding and multivariate regression
2018
IEEE Access
6
18325 - 18334
Katerine Diaz; Jesus Martinez del Rincon; Marçal Rusiñol; Aura Hernandez-Sabate
Feature Extraction by Using Dual-Generalized Discriminative Common Vectors
2019
Journal of Mathematical Imaging and Vision
61
331-351
Santi Puch; Irina Sanchez; Aura Hernandez-Sabate; Gemma Piella; Vesna Prckovska
Global Planar Convolutions for Improved Context Aggregation in Brain Tumor Segmentation
2018
International MICCAI Brainlesion Workshop
11384
393-405
Spyridon Bakas; Mauricio Reyes; Andras Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; Jana Lipkova; John Freymann; Justin Kirby; Michel Bilello; Hassan Fathallah-Shaykh; Roland Wiest; Jan Kirschke; Benedikt Wiestler; Rivka Colen; Aikaterini Kotrotsou; Pamela Lamontagne; Daniel Marcus; Mikhail Milchenko; Arash Nazeri; Marc-Andre Weber; Abhishek Mahajan; Ujjwal Baid; Dongjin Kwon; Manu Agarwal; Mahbubul Alam; Alberto Albiol; Antonio Albiol; Varghese Alex; Tuan Anh Tran; Tal Arbel; Aaron Avery; Subhashis Banerjee; Thomas Batchelder; Kayhan Batmanghelich; Enzo Battistella; Martin Bendszus; Eze Benson; Jose Bernal; George Biros; Mariano Cabezas; Siddhartha Chandra; Yi-Ju Chang; Joseph Chazalon; Shengcong Chen; Wei Chen; Jefferson Chen; Kun Cheng; Meinel Christoph; Roger Chylla; Albert Clérigues; Anthony Costa; Xiaomeng Cui; Zhenzhen Dai; Lutao Dai; Eric Deutsch; Changxing Ding; Chao Dong; Wojciech Dudzik; Theo Estienne; Hyung Eun Shin; Richard Everson; Jonathan Fabrizio; Longwei Fang; Xue Feng; Lucas Fidon; Naomi Fridman; Huan Fu; David Fuentes; David G Gering; Yaozong Gao; Evan Gates; Amir Gholami; Mingming Gong; Sandra Gonzalez-Villa; J Gregory Pauloski; Yuanfang Guan; Sheng Guo; Sudeep Gupta; Meenakshi H Thakur; Klaus H Maier-Hein; Woo-Sup Han; Huiguang He; Aura Hernandez-Sabate; Evelyn Herrmann; Naveen Himthani; Winston Hsu; Cheyu Hsu; Xiaojun Hu; Xiaobin Hu; Yan Hu; Yifan Hu; Rui Hua
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
2018
Arxiv
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