Ricardo Ñanculef

Dataset, July, 2024

Adversarial Pairwise Multimodal Recommendation.

[BibT_eX]

[DOI]

Mario Mallea

Denis Parra

Proceedings of the International Joint Conference on Neural Networks, 2024

ALPACS: Interoperable Repository of Medical Images.

[BibT_eX]

[DOI]

Proceedings of the L Latin American Computer Conference, 2024

Prediction of Peak-to-Peak Pressure Gradient in Patients with Aortic Coarctation Using Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the L Latin American Computer Conference, 2024

2023

An Attention-Based Architecture for Hierarchical Classification With CNNs.

[BibT_eX]

[DOI]

Iván Pizarro

Carlos Valle

IEEE Access, 2023

Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss.

[BibT_eX]

[DOI]

Mario Mallea

Mauricio Araya

Proceedings of the Discovery Science - 26th International Conference, 2023

Attention Mechanisms in Process Mining: A Systematic Literature Review.

[BibT_eX]

[DOI]

Gonzalo Rivera Lazo

Hernán Astudillo

Proceedings of the XLIX Latin American Computer Conference, 2023

2022

Cluster Distillation: Semi-supervised Time Series Classification through Clustering-based Self-supervision.

[BibT_eX]

[DOI]

Manuel Alejandro Goyo

Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Multi-attribute Transformers for Sequence Prediction in Business Process Management.

[BibT_eX]

[DOI]

Gonzalo Rivera Lazo

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing.

[BibT_eX]

[DOI]

Antonio Macaluso

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

A Method to Predict Semantic Relations on Artificial Intelligence Papers.

[BibT_eX]

[DOI]

Francisco Andrades

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

LocalBoost: A Parallelizable Approach to Boosting Classifiers.

[BibT_eX]

[DOI]

Neural Process. Lett., 2019

Evaluating Bregman Divergences for Probability Learning from Crowd.

[BibT_eX]

[DOI]

CoRR, 2019

BlackSheep: Dynamic Effort Estimation in Agile Software Development using Machine Learning.

[BibT_eX]

Rafik Mas'Ad

Hernán Astudillo

Proceedings of the XXII Iberoamerican Conference on Software Engineering, 2019

Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

A Binary Variational Autoencoder for Hashing.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018

Calcified Plaque Detection in IVUS Sequences: Preliminary Results Using Convolutional Nets.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Boosting Collaborative Filters for Drug-Target Interaction Prediction.

[BibT_eX]

[DOI]

Cristian M. Orellana

Carlos Valle

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2016

Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Efficient Classification of Multi-Labelled Text Streams by Clashing.

[BibT_eX]

[DOI]

Ilias N. Flaounas

Nello Cristianini

CoRR, 2016

Boosting SpLSA for Text Classification.

[BibT_eX]

[DOI]

Julio Hurtado

Marcelo Mendoza

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015

A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification.

[BibT_eX]

[DOI]

Emanuele Frandi

Johan A. K. Suykens

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Efficient classification of multi-labeled text streams by clashing.

[BibT_eX]

[DOI]

Ilias N. Flaounas

Nello Cristianini

Expert Syst. Appl., 2014

Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning.

[BibT_eX]

[DOI]

Emanuele Frandi

Johan A. K. Suykens

CoRR, 2014

2013

Training Support Vector Machines using Frank-Wolfe Optimization Methods.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2013

Novel Frank-Wolfe Methods for SVM Learning

[BibT_eX]

[DOI]

CoRR, 2013

2012

Training regression ensembles by sequential target correction and resampling.

[BibT_eX]

[DOI]

Inf. Sci., 2012

2011

Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010

Learning Multi-Class Support Vector Models from Distributed Data using Core-Sets (Extended Abstract).

[BibT_eX]

Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Single-Pass Distributed Learning of Multi-class SVMs Using Core-Sets.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2010

A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009

AD-SVMs: A light extension of SVMs for multicategory classification.

[BibT_eX]

[DOI]

Int. J. Hybrid Intell. Syst., 2009

L2-SVM Training with Distributed Data.

[BibT_eX]

[DOI]

Proceedings of the Multiagent System Technologies, 7th German Conference, 2009

2008

Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Probabilistic Aggregation of Classifiers for Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational and Ambient Intelligence, 2007

Two Bagging Algorithms with Coupled Learners to Encourage Diversity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2007

Robust Alternating AdaBoost.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2007

2006

Local Negative Correlation with Resampling.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Ensemble Learning with Local Diversity.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2006

2005

Self-poised Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Moderated Innovations in Self-poised Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004

Robust Bootstrapping Neural Networks.

[BibT_eX]

[DOI]

Héctor Allende