Ricardo Ñanculef

发表

Boosting SpLSA for Text Classification

Ricardo Ñanculef, Marcelo Mendoza, Julio Hurtado, 2016, CIARP.

Training regression ensembles by sequential target correction and resampling

Claudio Moraga, Héctor Allende, Ricardo Ñanculef, 2012, Inf. Sci..

Local Negative Correlation with Resampling

Claudio Moraga, Héctor Allende, Ricardo Ñanculef, 2006, IDEAL.

Boosting Collaborative Filters for Drug-Target Interaction Prediction

Ricardo Ñanculef, Carlos Valle, Cristian M. Orellana, 2018, CIARP.

Efficient classification of multi-labeled text streams by clashing pdf

Nello Cristianini, Ricardo Ñanculef, Ilias N. Flaounas, 2014, Expert Syst. Appl..

Two Bagging Algorithms with Coupled Learners to Encourage Diversity

Claudio Moraga, Héctor Allende, Ricardo Ñanculef, 2007, IDA.

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

Ricardo Ñanculef, Manuel Alejandro Goyo, 2022, 2022 41st International Conference of the Chilean Computer Science Society (SCCC).

Multiresolution Fuzzy Rule Systems

Claudio Moraga, Héctor Allende, Ricardo Ñanculef, 2004, Fuzzy Days.

Training Support Vector Machines using Frank-Wolfe Optimization Methods pdf

Claudio Sartori, Stefano Lodi, Ricardo Ñanculef, 2012, Int. J. Pattern Recognit. Artif. Intell..

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

Héctor Allende, Ricardo Ñanculef, Carlos Concha, 2010, CIARP.

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

Claudio Sartori, Stefano Lodi, Ricardo Ñanculef, 2010, SDM.

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

Claudio Moraga, Héctor Allende, Ricardo Ñanculef, 2009, Int. J. Hybrid Intell. Syst..

Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes

Claudio Moraga, Héctor Allende, Ricardo Ñanculef, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Novel Frank-Wolfe Methods for SVM Learning pdf

Claudio Sartori, Héctor Allende, Ricardo Ñanculef, 2013, ArXiv.

Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm

Broderick Crawford, Ricardo Soto, Franklin Johnson, 2020, IEEE Access.

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

Johan A. K. Suykens, Claudio Sartori, Stefano Lodi, 2015, Machine Learning.

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

Claudio Sartori, Héctor Allende, Stefano Lodi, 2011, ICANNGA.

Robust Alternating AdaBoost

Rodrigo Salas, Héctor Allende, Ricardo Ñanculef, 2007, CIARP.

An Attention-Based Architecture for Hierarchical Classification With CNNs

C. Valle, Ricardo Ñanculef, Iván Pizarro, 2023, IEEE Access.

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

Claudio Sartori, Héctor Allende, Ricardo Ñanculef, 2013, Inf. Sci..

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

Johan A. K. Suykens, Ricardo Ñanculef, Emanuele Frandi, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

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

Johan A. K. Suykens, Ricardo Ñanculef, Emanuele Frandi, 2014, NIPS 2014.

Evaluating Bregman Divergences for Probability Learning from Crowd pdf

Ricardo Ñanculef, Francisco A. Mena, Ricardo Ñanculef, 2019, ArXiv.

L2-SVM Training with Distributed Data

Claudio Sartori, Stefano Lodi, Ricardo Ñanculef, 2009, MATES.

Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing pdf

Stefano Lodi, Claudio Sartori, Antonio Macaluso, 2020, CIARP.