Sepulveda G., Vazquez M., Soto . (2024)

APEX: affordance-based plan executor for indoor robotic navigation

ADVANCED ROBOTICS

Messina P., Vidal R., Parra D., Soto A., Araujo V. (2024)

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

Findings of the Association for Computational Linguistics: ACL 2024

Pablo Messina, Rene Vidal, Denis Parra, Alvaro Soto, Vladimir Araujo. 2024. ExtractingEncoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation. In Findings of the Association for Computational Linguistics: ACL 2024, pages 3955–3986, Bangkok, Thailand. Association for Computational Linguistics. (2024)

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

V. Araujo, A. Soto, M. Moens. "A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information". Findings of the Association for Computational Linguistics: ACL 2023. (2023)

A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information

Association for Computational Linguistics, ACL Findings 2023. 13124–13138

Araujo V., Moens M., Soto . (2023)

Learning Sentence-Level Representations with Predictive Coding

Machine Learning and Knowledge Extraction 5 1 59-77

Villa A., Alcazar J., Alfarra M., Alhamoud K., Hurtado J., Heilbron F., Soto ., Ghanem B. (2023)

PIVOT: Prompting for Video Continual Learning

IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 24214-24223

Messina P., Pino P., Parra D., Soto A., Besa C., Uribe S., Andía M., Tejos C., Prieto C., Capurro D. (2022)

A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images

ACM Computing Surveys 37

Aspillaga C., Mendoza M., Soto A (2021)

Inspecting the concept knowledge graph encoded by modern language models

Conferencia ACL

Hurtado J., Raymond-Saez A., Soto A (2021)

Optimizing Reusable Knowledge for Continual Learning via Metalearning.

CONFERENCIA NEURIPS

Hurtado J., Lobel H., Soto A. (2021)

Overcoming catastrophic forgetting using sparse coding and meta learning

IEEE Access

Carvallo A., Parra D., Lobel H., Soto. A. (2020)

Automatic document screening of medical literature using word and text embeddings in an active learning setting

Scientometrics

Löbel H., Vidal R., Soto A. (2020)

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition

Computer Vision and Image Understanding

Riquelme F., de Goyeneche A., Zhang Y., Niebles J.C., Soto A. (2020)

Explaining VQA predictions using visual grounding and a knowledge base

Image and Vision Computing 101 103968

Mendoza M., Parra D., Soto A. (2020)

GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media

Information Processing & Management 102366

K. Chen, JD. Vicente, G. Sepulveda, F. Xia, A. Soto, M. Vazquez, S. Savarese. "A Behavioral Approach to Visual Navigation with Graph Localization Networks". In Robotics Science and Systems (RSS), 2019. (2019)

A Behavioral Approach to Visual Navigation with Graph Localization Networks

Robotics Science and Systems

B. Zhang, J. Niebles, and A. Soto. "Interpretable Visual Question Answering by Visual Grounding from Automatic Attention Annotations". In Winter Conference on Applications of Computer Vision (WACV), 2019. (2019)

Interpretable Visual Question Answering by Visual Grounding from Automatic Attention Annotations

Winter Conference on Applications of Computer Vision (WACV)

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

Mixture of Experts with Entropic Regularization for Data Classification

Entropy 21 2 190

G. Sepulveda, J. Niebles, A. Soto. "A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation". In International Conference on Robotics and Automation (ICRA), (2018)

A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation

International Conference on Robotics and Automation (ICRA)

Zang, X.; Vázquez, M.; Niebles, J.; Soto, A.; and Savarese. "Behavioral Indoor Navigation With Natural Language Directions". Human Robot Interfaces (HRI), 2018. (2018)

Behavioral Indoor Navigation With Natural Language Directions

Human Robot Interfaces

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

J. Ji, S. Buch, JC NieblesA. Soto, A. [End-to-End Joint Semantic Segmentation of Actors and Actions in Video". In European Conference on Computer Vision (ECCV) 2018. (2018)

End-to-End Joint Semantic Segmentation of Actors and Actions in Video

European Conference on Computer Vision (ECCV)

X. Zang, A. Pokle, K. Chen, M. Vazquez, J. Niebles, A. Soto, and S. Savaresse. "Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation". In Empirical Methods in Natural Language Processing (EMNLP), 2018. (2018)

Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation

Empirical Methods in Natural Language Processing (EMNLP)

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

A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of ActionletsMotion Poselets. Lillo, I.; Niebles, J.; and Soto, A. In CVPR, 2016. (2016)

A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets.

IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016

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

(2015)

Towards Improving Top-N Recommendation by Generalization of SLIM

Proceedings of the ACM Conference in Recommender Systems 2015

Ruz, C. ; Pieringer, C. ; Peralta, B. ; Lillo, I. ; Espinace, P. ; Gonzalez, R. ; Wendt, B. ; Mery, D.; Soto, A. (2015): Visual Recognition to AccessAnalyze People Density and Flow Patterns in Indoor Environments. IEEE Winter Conference on Applications of Computer Vision (WACV 2015). (2015)

Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments

Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV 2015).

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

Hierarchical Joint Max-Margin Learning of MidTop Level Representations for Visual Recognition. Lobel, H.; Vidal, R.; and Soto, A. In IEEE International Conference on Computer Vision (ICCV), 2013. (2013)

Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition

IEEE International Conference on Computer Vision (ICCV)

2.Alfaro, A.; Mery, D.; Soto, A. (2013): Human Action Recognition from Inter-Temporal Dictionaries of Key-Sequences. In Proceedings of 6th Pacific-Rim Symposium on Image and Video Technology (PSIVT2013), Guanajuato, Mexico, Oct.28-Nov.01. (2013)

Human Action Recognition from Inter-Temporal Dictionaries of Key-Sequences

Proceedings of 6th Pacific-Rim Symposium on Image and Video Technology (PSIVT2013)

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

1.Löbel, H.; Soto, A.; Vidal, R.; Mery, D.; Soto, A. (2013): Joint DictionaryClassifier learning for Categorization of Images using a Max-margin Framework. In Proceedings of 6th Pacific-Rim Symposium on Image and Video Technology (PSIVT2013), Guanajuato, Mexico, Oct.28-Nov.01. Best Student Paper Award (2013)

Joint Dictionary and Classifier learning for Categorization of Images using a Max-margin Framework

Proceedings of 6th Pacific-Rim Symposium on Image and Video Technology (PSIVT2013)

(2012)

Adaptive hierarchical contexts for object recognition with conditional mixture of trees

British Machine Vision Conference, BMVC, 2012

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

Pieringer, C.; Mery, D.; Soto. A. (2012): Head Modeling Using Multiple-views. 4rd Chilean Workshop on Pattern Recognition (CWPR 2011), Valparaiso, Nov 15-18. (2012)

Head Modeling Using Multiple-views

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

P. Espinace, T. Kollar, A. Soto, N. Roy, "Indoor Scene Recognition Through Object Detection". Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2010. (2010)

Scence Recognition Through Object Detection

Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2010

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

P. Espinace, A. Soto, M. Torres-Torriti. Real-Time Robot Localization In Indoor Environments Using Structural Information. Proceedings of the IEEE Latin American Robotics Symposium, Salvador, Brasil, Oct. 24-31, 2008. (2008)

Real-Time Robot Localization In Indoor Environments Using Structural Information

Proc. IEEE Latin American Robotics Symposium 6

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

A. Soto, P. Espinace, and R. Mitnik, “A Mobile Robotics Course for Undergraduate Students in Computer Science”. IEEE Latin American Robotics Symposium, Chile, 2006. (2006)

A Mobile Robotics Course for Undergraduate Students in Computer Science

IEEE Latin American Robotics Symposium

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

Alvaro Soto (2005) Self Adaptive Particle Filter IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30-August 5, 2005, pp. 1398-1406 (2005)

Self Adaptive Particle Filter

pp. 1398-1406

Soto A. (2004)

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

Lecture Notes in Artificial Intelligence 3040 47-56

A. Soto, A. Cansado, and F. Zavala (2004) Detection of Rare Objects in Massive Astrophysical Data Sets Using Innovative Knowledge Discovery Technology Astronomical Data Analysis Software & Systems Conference Series, ADASS (2004)

Detection of Rare Objects in Massive Astrophysical Data Sets Using Innovative Knowledge Discovery Technology

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

"A. Soto (2003) ""A Method to Adaptively Propagate the Set of Samples Used by Particle Filters"". Proceedings of the 10th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2003), vol. 1, pp. 375-384, San Sebastian, Spain, Nov. , 2003" (2003)

"""A Method to Adaptively Propagate the Set of Samples Used by Particle Filters""."

1 pp. 375-384,

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

"A. Soto (2002) “A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework”. Robotics Institute, Carnegie Mellon University, Tech Report CMU-RI-TR-02-30" (2002)

"“A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework”."

"A. SotoP. Khosla (2002) “Probabilistic Adaptive Agent Based System for Dynamic State Estimation Using Multiple Visual Cues"" ”ARS — Advanced Robotics Series. Eds. Alexander Zelinsky and Bruno Siciliano, Springer Verlag: 2002." (2002)

"“Probabilistic Adaptive Agent Based System for Dynamic State Estimation Using Multiple Visual Cues"""

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