| Year |
Citation |
Score |
| 2020 |
Riquelme F, Goyeneche AD, Zhang Y, Niebles JC, Soto A. Explaining VQA predictions using visual grounding and a knowledge base Image and Vision Computing. 101: 103968. DOI: 10.1016/J.Imavis.2020.103968 |
0.343 |
|
| 2020 |
Lobel H, Vidal R, Soto A. CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition Computer Vision and Image Understanding. 191: 102841. DOI: 10.1016/J.Cviu.2019.102841 |
0.376 |
|
| 2019 |
Peralta B, Saavedra A, Caro LA, Soto A. Mixture of experts with entropic regularization for data classification Entropy. 21: 190. PMID 33266905 DOI: 10.3390/E21020190 |
0.332 |
|
| 2019 |
Messina P, Dominguez V, Parra D, Trattner C, Soto A. Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features User Modeling and User-Adapted Interaction. 29: 251-290. DOI: 10.1007/S11257-018-9206-9 |
0.34 |
|
| 2015 |
Lobel H, Vidal R, Soto A. Learning Shared, Discriminative, and Compact Representations for Visual Recognition Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 2218-2231. PMID 26440263 DOI: 10.1109/Tpami.2015.2408349 |
0.334 |
|
| 2014 |
Peralta B, Soto A. Embedded local feature selection within mixture of experts Information Sciences. 269: 176-187. DOI: 10.1016/J.Ins.2014.01.008 |
0.326 |
|
| 2013 |
Espinace P, Kollar T, Roy N, Soto A. Indoor scene recognition by a mobile robot through adaptive object detection Robotics and Autonomous Systems. 61: 932-947. DOI: 10.1016/J.Robot.2013.05.002 |
0.364 |
|
| 2013 |
Mery D, Pedreschi F, Soto A. Automated Design of a Computer Vision System for Visual Food Quality Evaluation Food and Bioprocess Technology. 6: 2093-2108. DOI: 10.1007/S11947-012-0934-2 |
0.359 |
|
| 2012 |
Caro L, Correa J, Espinace P, Langdon D, Maturana D, Mitnik R, Montabone S, Pszczółkowski S, Araneda A, Mery D, Torres M, Soto A. Indoor mobile robotics at Grima, PUC Journal of Intelligent and Robotic Systems: Theory and Applications. 66: 151-165. DOI: 10.1007/S10846-011-9604-2 |
0.304 |
|
| 2010 |
Mery D, Chanona-Pérez JJ, Soto A, Aguilera JM, Cipriano A, Veléz-Rivera N, Arzate-Vázquez I, Gutiérrez-López GF. Quality classification of corn tortillas using computer vision Journal of Food Engineering. 101: 357-364. DOI: 10.1016/J.Jfoodeng.2010.07.018 |
0.336 |
|
| 2010 |
Montabone S, Soto A. Human detection using a mobile platform and novel features derived from a visual saliency mechanism Image and Vision Computing. 28: 391-402. DOI: 10.1016/J.Imavis.2009.06.006 |
0.375 |
|
| 2010 |
Correa J, Soto A. Active visual perception for mobile robot localization Journal of Intelligent and Robotic Systems: Theory and Applications. 58: 339-354. DOI: 10.1007/S10846-009-9348-4 |
0.346 |
|
| 2008 |
Cansado A, Soto A. Unsupervised Anomaly Detection In Large Databases Using Bayesian Networks Applied Artificial Intelligence. 22: 309-330. DOI: 10.1080/08839510801972801 |
0.328 |
|
| 2008 |
Espinace P, Langdon D, Soto A. Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback Robotics and Autonomous Systems. 56: 538-548. DOI: 10.1016/J.Robot.2008.03.004 |
0.391 |
|
| 2007 |
Araneda A, Fienberg SE, Soto A. A statistical approach to simultaneous mapping and localization for mobile robots The Annals of Applied Statistics. 1: 66-84. DOI: 10.1214/07-Aoas115 |
0.321 |
|
| 2007 |
Soto A, Zavala F, Araneda A. An accelerated algorithm for density estimation in large databases using Gaussian mixtures Cybernetics and Systems. 38: 123-139. DOI: 10.1080/01969720601138928 |
0.318 |
|
| 2003 |
Soto A, Khosla P. A probabilistic approach for dynamic state estimation using visual information Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2821: 421-435. DOI: 10.1007/978-3-540-39451-8_31 |
0.501 |
|
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