BibBase soto, a
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  2021 (6)
Optimizing Reusable Knowledge for Continual Learning via Metalearning. Hurtado, J.; Raymond-Saez, A.; and Soto, A. In NEURIPS, 2021.
Optimizing Reusable Knowledge for Continual Learning via Metalearning [pdf]Paper   link   bibtex   abstract  
Inspecting the concept knowledge graph encoded by modern language models. Aspillaga, C.; Mendoza, M.; and Soto, A. In ACL, 2021.
Inspecting the concept knowledge graph encoded by modern language models [pdf]Paper   link   bibtex   abstract  
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. Araujo, V.; Villa, A.; Mendoza, M.; Moens, M.; and Soto, A. In EMNLP, 2021.
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations [pdf]Paper   link   bibtex   abstract  
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification. Villa, A.; Perez-Rua, J.; Araujo, V.; Niebles, J.; Escorcia, V.; and Soto, A. In BMVC, 2021.
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification [pdf]Paper   link   bibtex   abstract  
Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning. Hurtado, J.; Lobel, H.; and Soto, A. IEEE Access, 9: 88279-88290. 2021.
Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning [link]Paper   link   bibtex   abstract  
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference. Eyzaguirre, C.; Rio, F. D.; Araujo, V.; and Soto, A. ArXiv, abs/2109.11745. 2021.
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference [pdf]Paper   link   bibtex   abstract  
  2020 (7)
Explaining VQA predictions using visual grounding and a knowledge base. Riquelme, F.; DeGoyenechea, A.; Zhang, Y.; Niebles, J.; and Soto, A. Image and Vision Computing, 101(9): 1-12. 2020.
Explaining VQA predictions using visual grounding and a knowledge base [link]Paper   link   bibtex   abstract  
Differentiable Adaptive Computation Time for Visual Reasoning. Eyzaguirre, C.; and Soto, A. In CVPR, 2020.
Differentiable Adaptive Computation Time for Visual Reasoning [link]Paper   link   bibtex   abstract  
GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media. Mendoza, M.; Parra, D.; and Soto, A. Information Processing and Management, 57(6). 2020.
GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media [link]Paper   link   bibtex   abstract  
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. Lobel, H.; Vidal, R.; and Soto, A. Computer Vision and Image Understanding , 191(2). 2020.
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition [pdf]Paper   link   bibtex   abstract  
Automatic document screening of medical literature using word and text embeddings in an active learning setting. Carvallo, A.; Parra, D.; Lobel, H.; and Soto, A. Scientometrics. 2020.
Automatic document screening of medical literature using word and text embeddings in an active learning setting [link]Paper   link   bibtex   abstract  
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism. Cerda-Mardini, P.; Araujo, V.; and Soto, A. In ACL WiNLP workshop, 2020.
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism [link]Paper   link   bibtex   abstract  
Autonomous Robotic System For Automatically Monitoring the State of Shelves in Shops. Soto, A. WO/2019/126888. 2020.
Autonomous Robotic System For Automatically Monitoring the State of Shelves in Shops [link]Paper   link   bibtex   abstract  
  2019 (4)
A Behavioral Approach to Visual Navigation with Graph Localization Networks. Chen, K.; Vicente, J. D.; Sepulveda, G.; Xia, F.; Soto, A.; Vazquez, M.; and Savarese, S. In RSS, 2019.
A Behavioral Approach to Visual Navigation with Graph Localization Networks [link]Paper   link   bibtex   abstract  
Interpretable Visual Question Answering by Visual Grounding from Automatic Attention Annotations. Zhang, B.; Niebles, J.; and Soto, A. In WACV, 2019.
Interpretable Visual Question Answering by Visual Grounding from Automatic Attention Annotations [link]Paper   link   bibtex   abstract  
Mixture of Experts with Entropic Regularization for Data Classification. Peralta, B.; Saavedra, A.; Caro, L.; and Soto, A. Entropy, 21(2). 2019.
Mixture of Experts with Entropic Regularization for Data Classification [link]Paper   link   bibtex   abstract  
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. Messina, P.; Dominguez, V.; Parra, D.; Trattner, C.; and Soto, A. User Modeling and User-Adapted Interaction, 29(2). 2019.
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features [link]Paper   link   bibtex   abstract  
  2018 (4)
End-to-End Joint Semantic Segmentation of Actors and Actions in Video. Ji, J.; Buch, S.; Niebles, J.; and Soto, A. In ECCV, 2018.
End-to-End Joint Semantic Segmentation of Actors and Actions in Video [pdf]Paper   link   bibtex   abstract  
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. Zang, X.; Pokle, A.; Chen, K.; Vazquez, M.; Niebles, J.; Soto, A.; and Savaresse, S. In EMNLP, 2018.
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation [link]Paper   link   bibtex   abstract  
Behavioral Indoor Navigation With Natural Language Directions. Zang, X.; Vázquez, M.; Niebles, J.; Soto, A.; and Savarese, S. In HRI, 2018.
Behavioral Indoor Navigation With Natural Language Directions [pdf]Paper   link   bibtex   abstract  
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation. Sepulveda, G.; Niebles, J.; and Soto, A. In ICRA, 2018.
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation [pdf]Paper   link   bibtex   abstract  
  2017 (5)
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. Toro, R.; Baier, J.; Ruz, C.; and Soto, A. In IJCAI, 2017.
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval [link]Paper   link   bibtex   abstract  
GENIUS: web server to predict local gene networks and key genes for biological functions. Puelma, T.; Araus, V.; Canales, J.; Vidal, E.; Cabello, J.; Soto, A.; and Gutierrez, R. Bioinformatics, 28(17): 2256-64. 2017.
GENIUS: web server to predict local gene networks and key genes for biological functions [link]Paper   link   bibtex   abstract  
Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos. Lillo, I.; Niebles, J.; and Soto, A. Image and Vision Computing, 59(March): 63-75. 2017.
Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos [link]Paper   link   bibtex   abstract  
Unsupervised Local Regressive Attributes for Pedestrian Re-Identification. Peralta, B.; Caro, L.; and Soto, A. In CIARP, 2017.
Unsupervised Local Regressive Attributes for Pedestrian Re-Identification [link]Paper   link   bibtex   abstract  
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. Dominguez, V.; Messina, P.; Parra, D.; Mery, D.; Trattner, C.; and Soto, A. In Workshop on Deep Learning for Recommender Systems, co-located at RecSys 2017, 2017.
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation [pdf]Paper   link   bibtex  
  2016 (3)
A Proposal for Supervised Clustering with Dirichlet Process Using Labels. Peralta, B.; Caro, A.; and Soto, A. Pattern Recognition Letters, 80: 52-57. 2016.
A Proposal for Supervised Clustering with Dirichlet Process Using Labels [link]Paper   link   bibtex   abstract  
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets. Lillo, I.; Niebles, J.; and Soto, A. In CVPR, 2016.
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets [pdf]Paper   link   bibtex   abstract  
Action Recognition in Video Using Sparse Coding and Relative Features. Alfaro, A.; Mery, D.; and Soto, A. In CVPR, 2016.
Action Recognition in Video Using Sparse Coding and Relative Features [pdf]Paper   link   bibtex   abstract  
  2015 (3)
Learning Shared, Discriminative, and Compact Representations for Visual Recognition. Lobel, H.; Vidal, R.; and Soto, A. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11). 2015.
Learning Shared, Discriminative, and Compact Representations for Visual Recognition [pdf]Paper   link   bibtex   abstract  
Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments. C. Ruz, C. P.; B. Peralta, I. L.; P. Espinace, R. G.; and B. Wendt, D. M. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.
Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments [pdf]Paper   link   bibtex   abstract  
Towards Improving Top-N Recommendation by Generalization of SLIM. Larrain, S.; Parra, D.; and Soto, A. In ACM RecSys, 2015.
Towards Improving Top-N Recommendation by Generalization of SLIM [pdf]Paper   link   bibtex   abstract  
  2014 (3)
Embedded local feature selection within mixture of experts. Peralta, B.; and Soto, A. Information Sciences, 269: 176-187. 2014.
Embedded local feature selection within mixture of experts [pdf]Paper   link   bibtex   abstract  
Local Feature Selection Using Gaussian Process Regression. Pichara, K.; and Soto, A. Intelligent Data Analysis (IDA), 18(3). 2014.
Local Feature Selection Using Gaussian Process Regression [pdf]Paper   link   bibtex   abstract  
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities. Lillo, I.; Niebles, J.; and Soto, A. In CVPR, 2014.
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities [pdf]Paper   link   bibtex   abstract  
  2013 (6)
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition. Lobel, H.; Vidal, R.; and Soto, A. In ICCV, 2013.
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition [pdf]Paper   link   bibtex   abstract  
Human Action Recognition from Inter-Temporal Dictionaries of Key-Sequences. Alfaro, A.; Mery, D.; and Soto, A. In 6th Pacific-Rim Symposium on Image and Video Technology, PSIVT, 2013.
Human Action Recognition from Inter-Temporal Dictionaries of Key-Sequences [pdf]Paper   link   bibtex   abstract  
Joint Dictionary and Classifier learning for Categorization of Images using a Max-margin Framework. Lobel, H.; Vidal, R.; Mery, D.; and Soto., A. In 6th Pacific-Rim Symposium on Image and Video Technology, PSIVT, 2013.
Joint Dictionary and Classifier learning for Categorization of Images using a Max-margin Framework [pdf]Paper   link   bibtex   abstract  
Enhancing K-Means Using Class Labels. Peralta, B.; Espinace, P.; and Soto, A. Intelligent Data Analysis (IDA), 17(6): 1023-1039. 2013.
Enhancing K-Means Using Class Labels [pdf]Paper   link   bibtex   abstract  
Indoor Scene Recognition by a Mobile Robot Through Adaptive Object Detection. Espinace, P.; Kollar, T.; Roy, N.; and Soto, A. Robotics and Autonomous Systems, 61(9). 2013.
Indoor Scene Recognition by a Mobile Robot Through Adaptive Object Detection [pdf]Paper   link   bibtex   abstract  
Automated Design of a Computer Vision System for Food Quality Evaluation. Mery, D.; Pedreschi, F.; and Soto, A. Food and Bioprocess Technology, 6(8): 2093-2108. 2013.
Automated Design of a Computer Vision System for Food Quality Evaluation [pdf]Paper   link   bibtex   abstract  
  2012 (3)
Discriminative local subspaces in gene expression data for effective gene function prediction. Puelma, T.; Gutierrez, R.; and Soto, A. Bioinformatics, 28(17): 2256-64. 2012.
Discriminative local subspaces in gene expression data for effective gene function prediction [pdf]Paper   link   bibtex   abstract  
Adaptive hierarchical contexts for object recognition with conditional mixture of trees. Peralta, B.; Espinace, P.; and Soto, A. In BMVC, 2012.
Adaptive hierarchical contexts for object recognition with conditional mixture of trees [pdf]Paper   link   bibtex   abstract  
Indoor Mobile Robotics at Grima, PUC. L. Caro, J. C.; P. Espinace, D. M.; R. Mitnik, S. M.; S. Pszszfolkowski, D. L.; A. Araneda, D. M.; and M. Torres, A. S. Journal of Intelligent and Robotic Systems, 66(1-2): 151-165. 2012.
Indoor Mobile Robotics at Grima, PUC [pdf]Paper   link   bibtex   abstract  
  2011 (4)
Learning Discriminative Local Binary Patterns for Face Recognition. Maturana, D.; Mery, D.; and Soto, A. In 9th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2011.
Learning Discriminative Local Binary Patterns for Face Recognition [pdf]Paper   link   bibtex   abstract  
Automated Fish Bone Detection using X-ray Testing. Mery, D.; Lillo, I.; Loebel, H.; V. Riffo, A. S.; Cipriano, A.; and Aguilera, J. Journal of Food Engineering, 105(3): 485-492. 2011.
Automated Fish Bone Detection using X-ray Testing [pdf]Paper   link   bibtex   abstract  
Active Learning and Subspace Clustering for Anomaly Detection. Pichara, K.; and Soto, A. Intelligent Data Analysis (IDA), 15(2): 151-171. 2011.
Active Learning and Subspace Clustering for Anomaly Detection [pdf]Paper   link   bibtex   abstract  
Mixing Hierarchical Contexts for Object Recognition. Peralta, B.; and Soto, A. In CIARP, 2011.
Mixing Hierarchical Contexts for Object Recognition [pdf]Paper   link   bibtex   abstract  
  2010 (6)
Face Recognition with Decision Tree-based Local Binary Patterns. Maturana, D.; Mery, D.; and Soto, A. In Proc. of Asian Conference on Computer Vision (ACCV-2010), 2010.
Face Recognition with Decision Tree-based Local Binary Patterns [pdf]Paper   link   bibtex   abstract  
Automated Detection of Fish Bones in Salmon Fillets using X-ray Testing. Mery, D.; Lillo, I.; Loebel, H.; Riffo, V.; Soto, A.; Cipriano, A.; and Aguilera, J. In Proc. of 4th Pacific-Rim Symposium on Image and Video Technology (PSIVT-2010), 2010.
Automated Detection of Fish Bones in Salmon Fillets using X-ray Testing [pdf]Paper   link   bibtex   abstract  
Quality Classification of Corn Tortillas using Computer Vision. Mery, D.; Chanona-Perez, J.; Soto, A.; Aguilera, J.; Cipriano, A.; Velez-Riverab, N.; Arzate-Vazquez, I.; and Gutierrez-Lopez, G. Journal of Food Engineering, 101(4): 357-364. 2010.
Quality Classification of Corn Tortillas using Computer Vision [pdf]Paper   link   bibtex   abstract  
Active visual perception for mobile robot localization. Correa, J.; and Soto, A. Journal of Intelligent and Robotic Systems, 58(3-4): 339-354. 2010.
Active visual perception for mobile robot localization [pdf]Paper   link   bibtex   abstract  
Indoor Scene Recognition Through Object Detection. Espinace, P.; Kollar, T.; Soto, A.; and Roy, N. In Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), 2010.
Indoor Scene Recognition Through Object Detection [pdf]Paper   link   bibtex   abstract  
Human Detection Using a Mobile Platform and Novel Features Derived From a Visual Saliency Mechanism. Montabone, S.; and Soto, A. Image and Vision Computing, 28(3): 391-402. 2010.
Human Detection Using a Mobile Platform and Novel Features Derived From a Visual Saliency Mechanism [pdf]Paper   link   bibtex   abstract  
  2009 (4)
Collaborative Robotic Instruction: A Graph Teaching Experience. Mitnik, R.; Recabarren, M.; Nussbaum, M.; and Soto, A. Computers and Education, 53(2): 330-342. 2009.
Collaborative Robotic Instruction: A Graph Teaching Experience [pdf]Paper   link   bibtex   abstract  
Performance Evaluation of the Covariance Descriptor for Target Detection. Cortez-Cargill, P.; Undurraga-Rius, C.; Mery, D.; and Soto, A. In Proc. of XXVIII Int. Conf. of the Chilean Computer Science Society/IEEE CS Press, 2009.
Performance Evaluation of the Covariance Descriptor for Target Detection [pdf]Paper   link   bibtex   abstract  
An ensemble of Discriminative Local Subspaces in Microarray Data for Gene Ontology Annotation Predictions. Puelma, T.; Soto, A.; and Gutierrez, R. In Proc. of 1st Chilean Workshop on Pattern Recognition (CWPR), pages 52-61, 2009.
An ensemble of Discriminative Local Subspaces in Microarray Data for Gene Ontology Annotation Predictions [pdf]Paper   link   bibtex   abstract  
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor classification. Maturana, D.; Mery, D.; and Soto, A. In Proc. of XXVIII Int. Conf. of the Chilean Computer Science Society/IEEE CS Press, 2009.
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor classification [pdf]Paper   link   bibtex   abstract  
  2008 (8)
Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions. Pichara, K.; Soto, A.; and Araneda, A. In Advances in Artificial Intelligence, Iberamia-08, LNCS 5290, pages 163-172, 2008.
Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions [pdf]Paper   link   bibtex   abstract  
An autonomous educational mobile robot mediator. Mitnik, R.; Nussbaum, M.; and Soto, A. Autonomous Robots, 25(4): 367-382. 2008.
An autonomous educational mobile robot mediator [pdf]Paper   link   bibtex   abstract  
Unsupervised Identification of Useful Visual Landmarks Using Multiple Segmentations and Top-Down Feedback. Espinace, P.; Langdon, D.; and Soto, A. Robotics and Autonomous Systems, 56(6): 538-548. 2008.
Unsupervised Identification of Useful Visual Landmarks Using Multiple Segmentations and Top-Down Feedback [pdf]Paper   link   bibtex   abstract  
Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks. Cansado, A.; and Soto, A. Applied Artificial Intelligence, 22(4): 309-330. 2008.
Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks [pdf]Paper   link   bibtex   abstract  
Real-Time Robot Localization In Indoor Environments Using Structural Information. Espinace, P.; Soto, A.; and Torres-Torriti, M. In IEEE Latin American Robotics Symposium (LARS), 2008.
Real-Time Robot Localization In Indoor Environments Using Structural Information [link]Paper   link   bibtex  
Improving the Selection and Detection of Visual Landmarks Through Object Tracking. Espinace, P.; and Soto, A. In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Workshop on Visual Localization for Mobile Platforms, 2008.
Improving the Selection and Detection of Visual Landmarks Through Object Tracking [link]Paper   link   bibtex  
Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot. Pszczolkowski, S.; and Soto, A. In Iberoamerican Congress on Pattern Recognition (CIARP), LNCS 4756, pages 350-359, 2008.
Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot [link]Paper   link   bibtex  
Features: The more the better. D. Mery, undefined; and Soto, A. In The 7th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision, 2008.
link   bibtex  
  2007 (4)
A Statistical approach to simultaneous mapping and localization for mobile robots. Araneda, A.; Fienberg, S.; and Soto, A. The Annals of Applied Statistics, 1(1): 66-84. 2007.
A Statistical approach to simultaneous mapping and localization for mobile robots [link]Paper   link   bibtex  
Using Data Mining Techniques to Predict Industrial Wine Problem Fermentations. Urtubia; Perez-Correa, J. R.; Soto, A.; and Pszczolkowski, P. Food Control, 18(12): 1512-1517. 2007.
Using Data Mining Techniques to Predict Industrial Wine Problem Fermentations [link]Paper   link   bibtex  
An Accelerated Algorithm for Density Estimation in Large Databases, Using Gaussian Mixtures. Soto, A.; Zavala, F.; and Araneda, A. Cybernetics and Systems: An International Journal, 38(2): 123-139. 2007.
An Accelerated Algorithm for Density Estimation in Large Databases, Using Gaussian Mixtures [pdf]Paper   link   bibtex   abstract  
Computer Vision for Quality Control in Latin American Food Industry, A Case Study. Aguilera, J.; Cipriano, A.; Erana, M.; Lillo, I.; Mery, D.; Soto, A.; and Valdivieso, C. In Int. Conf. on Computer Vision (ICCV): Workshop on Computer Vision Applications for Developing Countries, 2007.
Computer Vision for Quality Control in Latin American Food Industry, A Case Study [link]Paper   link   bibtex  
  2006 (2)
Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations. Langdon, D.; Soto, A.; and Mery, D. In IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT), LNCS 4319, pages 601-610, 2006.
Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations [link]Paper   link   bibtex  
A Mobile Robotics Course for Undergraduate Students in Computer Science. Soto, A.; Espinace, P.; and Mitnik, R. In IEEE Latin American Robotics Symposium, LARS, pages 187-192, 2006.
A Mobile Robotics Course for Undergraduate Students in Computer Science [link]Paper   link   bibtex  
  2005 (2)
Important Sampling in Mapping and Localization by a Mobile Robot. Araneda, A.; and Soto, A. In Workshop on Case Studies of Bayesian Statistics, 2005.
Important Sampling in Mapping and Localization by a Mobile Robot [link]Paper   link   bibtex  
Self Adaptive Particle Filter. Soto, A. In Proceedings of International Join Conference on Artificial Intelligence (IJCAI), pages 1398-1406, 2005.
Self Adaptive Particle Filter [pdf]Paper   link   bibtex   abstract  
  2004 (4)
Statistical Inference in Mapping and Localization for Mobile Robots. Araneda, A.; and A. Soto, undefined In Advances in Artificial Intelligence, Iberamia-04, LNAI 3315, pages 545-554, 2004.
Statistical Inference in Mapping and Localization for Mobile Robots [link]Paper   link   bibtex  
Mobile Robotic Supported Collaborative Learning (MRSCL). Mitnik, R.; Nussbaum, M.; and Soto, A. In Advances in Artificial Intelligence, Iberamia-04, LNAI 3315, pages 912-921, 2004.
Mobile Robotic Supported Collaborative Learning (MRSCL) [link]Paper   link   bibtex  
Detection of Rare Objects in Massive Astrophysical Data Sets Using Innovative Knowledge Discovery Technology. Soto, A.; A.Cansado; and Zavala, F. In Astronomical Data Analysis Software & Systems Conf. Series (ADASS), pages 66-72, 2004.
Detection of Rare Objects in Massive Astrophysical Data Sets Using Innovative Knowledge Discovery Technology [link]Paper   link   bibtex  
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters. Soto, A. In Lectures Notes in Artificial Intelligence, LNAI 3040, pages 47-56, 2004.
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters [link]Paper   link   bibtex  
  2003 (4)
Sequential Monte Carlo Methods for the Creation of Adaptive Software. Soto, A.; and Khosla, P. In 3th Int. Workshop on Self-adaptive Software, 2003.
Sequential Monte Carlo Methods for the Creation of Adaptive Software [link]Paper   link   bibtex  
A Probabilistic Approach for Dynamic State Estimation Using Visual Information. Soto, A.; and Khosla, P. In Lectures Notes in Computer Science, LNCS 2821, pages 421-435, 2003.
A Probabilistic Approach for Dynamic State Estimation Using Visual Information [link]Paper   link   bibtex  
Adaptive Agent Based System for State Estimation Using Dynamic Multidimentional Information Sources. Soto, A.; and Khosla, P. In Lectures Notes in Computer Science, LNCS 2614, pages 66-83, 2003.
Adaptive Agent Based System for State Estimation Using Dynamic Multidimentional Information Sources [link]Paper   link   bibtex  
Probabilistic Adaptive Agent Based System for Dynamic State Estimation Using Multiple Visual Cues. Soto, A.; and Khosla, P. In volume 6, pages 559-572, 2003.
Probabilistic Adaptive Agent Based System for Dynamic State Estimation Using Multiple Visual Cues [link]Paper   link   bibtex  
  2002 (2)
A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework. Soto, A. Technical Report PhD. Thesis, Robotics Institute, School of Computer Science, Tech Report CMU-RI-TR-02-30, Carnegie Mellon University, 2002.
A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework [link]Paper   link   bibtex  
Recent Advances in Distributed Tactical Surveillance. Saptharishi, M.; Bhat, K.; Diehl, C.; Oliver, S.; Savvides, M.; Soto, A.; Dolan, J.; and Khosla, P. In SPIE on Unattended Ground Sensor Technologies and Applications, Aerosense, 2002.
Recent Advances in Distributed Tactical Surveillance [link]Paper   link   bibtex  
  1999 (3)
CyberATVs: Dynamic and Distributed Reconnaissance and Surveillance Using All Terrain UGVs. Soto, A.; Saptharishi, M.; Dolan, J.; Trebi-Ollennu, A.; and Khosla, P. In Proceedings of the International Conference on Field and Service Robotics (FSR), 1999.
CyberATVs: Dynamic and Distributed Reconnaissance and Surveillance Using All Terrain UGVs [link]Paper   link   bibtex  
An Effective Mobile Robot Educator with a Full-Time Job. Nourbakhsh, I.; Bobenage, J.; Grange, S.; Lutz, R.; Meyer, R.; and Soto, A. Artificial Intelligence, 114(1-2): 95-124. 1999.
An Effective Mobile Robot Educator with a Full-Time Job [link]Paper   link   bibtex  
Distributed Tactical Surveillance with ATVs. Dolan, J.; Trebi-Ollennu, A.; Soto, A.; and Khosla, P. In SPIE on Unattended Ground Sensor Technologies and Applications, Aerosense, Vol. 3693, 1999.
Distributed Tactical Surveillance with ATVs [link]Paper   link   bibtex  
  1998 (2)
A Scenario for Planning Visual Navigation of a Mobile Robot. Soto, A.; and Nourbakhsh, I. In American Association for Artificial Intelligence (AAAI), Fall Symposium Series, 1998.
A Scenario for Planning Visual Navigation of a Mobile Robot [link]Paper   link   bibtex  
A Real Time Visual Sensor for Supervision of Flotations Cells. Cipriano, A.; Guarini, M.; Vidal, R.; Soto, A.; Sepúlveda, C.; Mery, D.; and Briseño, H. Minerals Engineering, 11(6): 489-499. 1998.
A Real Time Visual Sensor for Supervision of Flotations Cells [link]Paper   link   bibtex  
  1997 (1)
Expert supervision of flotation cells using digital image processing. Cipriano, A.; Guarini, M.; Soto, A.; Briseño, H.; and D. Mery, undefined In In Proc. of 20th Int. Mineral Processing Congress, pages 281-292, 1997.
Expert supervision of flotation cells using digital image processing [link]Paper   link   bibtex  
  1996 (1)
Image processing applied to real time measurement of traffic flow. Soto, A.; and Cipriano, A. In In Proc. of 28th Southeastern Symposium on System Theory, 1996.
Image processing applied to real time measurement of traffic flow [link]Paper   link   bibtex  
  1995 (1)
Measurement of physical characteristics of foam in flotation cells. Guarini, M.; Soto, A.; Cipriano, A.; Guesalaga, A.; and Caceres, J. In In Proc. of Int. Conference: Copper-95, 1995.
Measurement of physical characteristics of foam in flotation cells [link]Paper   link   bibtex