Billy Peralta

Orcid: 0000-0002-5457-2157

According to our database1, Billy Peralta authored at least 37 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Causal Analysis of Failure in a First-Year Course at a Chilean University Based on Programming Support Guides.
Proceedings of the L Latin American Computer Conference, 2024

Self-Supervised Learning Applied to Variable Star Semi-Supervised Classification Using LSTM and GRU Networks.
Proceedings of the L Latin American Computer Conference, 2024

2023
Gender screening on question-answering communities.
Expert Syst. Appl., April, 2023

Outlier Vehicle Trajectory Detection Using Deep Autoencoders in Santiago, Chile.
Sensors, February, 2023

The Use of Internet Technology to Mitigate Conflict between Mapuche and Non-Mapuche Students in a University Context.
Proceedings of the 14th International Conference on Information, 2023

A Portfolio Competency Assessment Approach: Case Study, an Engineering Degree.
Proceedings of the 9th International Conference on Systems and Informatics, 2023

2022
Spatio-Temporal Seismicity Prediction in Chile Using a Multi-Column ConvLSTM.
IEEE Access, 2022

Prediction of Bedform Geometry with Neural Networks Using a Stratified Cross-Validation Approach.
Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Automatic classification of Customer Complaints in a Chilean Company Using DialogFlow.
Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

2021
Coming to Grips with Age Prediction on Imbalanced Multimodal Community Question Answering Data.
Inf., 2021

Co-Training for Visual Object Recognition Based on Self-Supervised Models Using a Cross-Entropy Regularization.
Entropy, 2021

Gender Identification From Community Question Answering Avatars.
IEEE Access, 2021

Marketing improvement in a Chilean Retail Company using Uplift Modeling with neural networks.
Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021

2020
Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks.
IEEE Access, 2020

Predicting cardiovascular disease by combining optimal feature selection methods with machine learning.
Proceedings of the 39th International Conference of the Chilean Computer Science Society, 2020

Predicting Motor Vehicle Theft in Santiago de Chile using Graph-Convolutional LSTM.
Proceedings of the 39th International Conference of the Chilean Computer Science Society, 2020

A Virtual Reality Application using Hand Motion Tracking with Leap Motion Sensor.
Proceedings of the 39th International Conference of the Chilean Computer Science Society, 2020

2019
Mixture of Experts with Entropic Regularization for Data Classification.
Entropy, 2019

Outlier Detection on Vehicle Trajectories in Santiago, Chile using Unsupervised Deep Learning.
Proceedings of the 38th International Conference of the Chilean Computer Science Society, 2019

A Proposal of Neural Networks with Intermediate Outputs.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

A Simple Proposal for Sentiment Analysis on Movies Reviews with Hidden Markov Models.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
A proposal of adaptive probabilistic model of context applied to visual recognition.
Proceedings of the 37th International Conference of the Chilean Computer Science Society, 2018

2017
Distributed mixture-of-experts for Big Data using PETUUM framework.
Proceedings of the 36th International Conference of the Chilean Computer Science Society, 2017

A proposal for mixture of experts with entropic regularization.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

Unsupervised Local Regressive Attributes for Pedestrian Re-identification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
A proposal for supervised clustering with Dirichlet Process using labels.
Pattern Recognit. Lett., 2016

Improved Object Recognition with Decision Trees Using Subspace Clustering.
J. Adv. Comput. Intell. Intell. Informatics, 2016

Automatic feature selection for desertion and graduation prediction: A chilean case.
Proceedings of the 35th International Conference of the Chilean Computer Science Society, 2016

Evaluation of stacked autoencoders for pedestrian detection.
Proceedings of the 35th International Conference of the Chilean Computer Science Society, 2016

2015
Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Real-Time Recognition of Arm Motion Using Artificial Neural Network Multi-perceptron with Arduino One MicroController and EKG/EMG Shield Sensor.
Proceedings of the Ambient Intelligence for Health - First International Conference, 2015

2014
Embedded local feature selection within mixture of experts.
Inf. Sci., 2014

Simultaneous Feature and Expert Selection within Mixture of Experts.
CoRR, 2014

Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Enhancing K-Means using class labels.
Intell. Data Anal., 2013

2012
Adaptive hierarchical contexts for object recognition with conditional mixture of trees.
Proceedings of the British Machine Vision Conference, 2012

2011
Mixing Hierarchical Contexts for Object Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011


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