Löbel H., Vidal R., Soto A. (2019)

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition

Computer Vision and Image Understanding

Peralta B., Saavedra A., Caro L., Soto A. (2019)

Mixture of Experts with Entropic Regularization for Data Classification

Entropy 21 2 190

Messina P., Domínguez V., Parra D., Trattner C. and Soto A. (2018)

Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features

User Modeling and User-Adapted Interaction

Puelma T., Araus V., Canales J., Vidal E.A., Cabello J.M., Soto A. and Gutiérrez R.A. (2017)

GENIUS: web server to predict local gene networks and key genes for biological functions

Bioinformatics 33 5 760-761

Lillo I., Niebles J.C. and Soto A. (2017)

Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos

Image and Vision Computing 59 63-75

Peralta B., Caro A. and Soto A. (2016)

A proposal for supervised clustering with Dirichlet Process using labels

Pattern Recognition Letters 80 52-57

Lobel H., Vidal R. and Soto A. (2015)

Learning Shared, Discriminative, and Compact Representations for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence 37 11 2218-2231

Peralta B. and Soto A. (2014)

Embedded local feature selection within mixture of experts

Information Sciences 269 176-187

Pichara K. and Soto A. (2014)

Local feature selection using gaussian process regression

Intelligent Data Analysis

Mery D., Pedreschi F. and Soto A. (2013)

Automated design of a computer vision system for visual food quality evaluation. http://dx.doi.org/10.1007/s11947-012-0934-2

Food and Bioprocess Technology 6 8 2093-2108

Peralta B., Espinace P. and Soto A. (2013)

Enhancing k-means using class labels

Intelligent Data Analysis 17 6 1023-1039

Espinace P., Kollar T., Roy N. and Soto A. (2013)

Indoor scene recognition by a mobile robot through adaptive object detection.

Robotics and Autonomous Systems 61 9 932-947

Puelma T., Gutiérrez R. and Soto A. (2012)

Discriminative local subspaces in gene expression data for effective gene function prediction. http://dx.doi.org/10.1093/bioinformatics/bts455

Bioinformatics

Caro L., Correa J., Espinace P., Langdon D., Maturana D., Mitnik R., Montabone S., Pszczolkowski S., Araneda A., Mery D., Torres M. and Soto A. (2012)

Indoor Mobile Robotics at Grima, PUC. http://dx.doi.org/10.1007/s10846-011-9604-2

Journal of Intelligent & Robotic Systems 66 1-2 151-165

Pichara K. and Soto A. (2011)

Active learning and subspace clustering for anomaly detection. http://dx.doi.org/10.3233/IDA-2010-0461

Intelligent Data Analysis 15 2 151-171

Mery D., Lillo I., Loebel H., Riffo V., Soto A., Cipriano A. and Aguilera J.M. (2011)

Automated fish bone detection using X-ray imaging. http://dx.doi.org/10.1016/j.jfoodeng.2011.03.007

Journal of Food Engineering 105 3 485-492

Correa J. and Soto A. (2010)

Active visual perception for mobile robot localization

Journal of Intelligent & Robotic Systems 58 3-4 339-354

Montabone S. and Soto A. (2010)

Human detection using a mobile platform and novel features derived from a visual saliency mechanism

Image and Vision Computing 28 3 391-402

Mery D. , Chanona-Pérez J.J., Soto A., Aguilera J.M., Cipriano A., Veléz-Rivera N., Arzate-Vázquez I. and Gutiérrez-López G.F. (2010)

Quality classification of corn tortillas using computer vision

Journal of Food Engineering 101 357-364

Mitnik R., Recabarren M., Nussbaum M. and Soto A. (2009)

Collaborative robotic instruction: A graph teaching experience. http://dx.doi.org/10.1016/j.compedu.2009.02.010

Computers & Education 53 2 330-342

Mitnik R., Nussbaum M. and Soto A. (2008)

An autonomous educational mobile robot mediator. http://dx.doi.org/10.1007/s10514-008-9101-z

Autonomous Robots 25 4 367-382

Cansado A. and Soto A. (2008)

Unsupervised anomaly detection in large databases using Bayesian Networks. http://dx.doi.org/10.1080/08839510801972801

Applied Artificial Intelligence 22 4 309 - 330

Espinace P., Langdon D. and Soto A. (2008)

Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback. http://dx.doi.org/10.1016/j.robot.2008.03.004

Robotics and Autonomous Systems 56 6 538-548

Araneda A., Fienberg S. E. and Soto A. (2007)

A statistical approach to simultaneous mapping and localization for mobile robots. http://dx.doi.org/10.1214/07-AOAS115

Annals of Applied Statistics 1 1 66-84

Soto A., Zavala F. and Araneda A. (2007)

An accelerated algorithm for density estimation in large databases using Gaussian mixtures. http://dx.doi.org/10.1080/01969720601138928

Cybernetics and Systems 38 2 123-139

Urtubia A., Pérez-Correa J.R., Soto A. and Pszczolkowski P. (2007)

Using data mining techniques to predict industrial wine problem fermentations. http://dx.doi.org/10.1016/j.foodcont.2006.09.010

Food Control 18 12 1512-1517

Langdon D., Soto A., Mery D. (2006)

Automatic selection and detection of visual landmarks using multiple segmentations

Lecture Notes in Computer Science 4319 601-610

Soto A. (2004)

A method to adaptively propagate the set of samples used by particle filters

Lecture Notes in Artificial Intelligence 3040 47-56

Mitnik R., Nussbaum M., Soto A. (2004)

Mobile robotic supported collaborative learning (MRSCL)

Lecture Notes in Artificial Intelligence 3315 912-921

Araneda A., Soto A. (2004)

Statistical inference in mapping and localization for mobile robots

Lecture Notes in Artificial Intelligence 3315 545-554

Soto A., Khosla P. (2003)

A probabilistic approach for dynamic state estimation using visual information

Lecture Notes in Artificial Intelligence 2821 421-435

Soto A., Khosla P. (2003)

Adaptive agent based system for state estimation using dynamic multidimensional information sources

Lecture Notes in Computer Science 2614 66-83

Cipriano A., Guarini M., Vidal, R., Soto A., Sepúlveda C., Mery D., Briseño H. (1998)

A real time visual sensor for supervision of flotation cells.

Minerals Engineering 11 6 489-499