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A Data Ingestion Procedure towards a Medical Images Repository

Sensors (Basel, Switzerland), 2024-08, Vol.24 (15), p.4985

2024

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An Attention-Based Architecture for Hierarchical Classification With CNNs

IEEE access, 2023, Vol.11, p.32972-32995

2023

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Efficient classification of multi-labeled text streams by clashing

Expert systems with applications, 2014-09, Vol.41 (11), p.5431-5450

2014

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

2022 41st International Conference of the Chilean Computer Science Society (SCCC), 2022, p.1-8

2022

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Multi-attribute Transformers for Sequence Prediction in Business Process Management

Discovery Science, p.184-194

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

Information sciences, 2014-11, Vol.285, p.66-99

2014

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Interpretable and effective hashing via Bernoulli variational auto-encoders

Intelligent data analysis, 2020-01, Vol.24 (S1), p.141-166

2020

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Collective annotation patterns in learning from crowds

Intelligent data analysis, 2020-01, Vol.24 (S1), p.63-86

2020

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A Binary Variational Autoencoder for Hashing

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.131-141

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Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.493-503

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LocalBoost: A Parallelizable Approach to Boosting Classifiers

Neural processing letters, 2019-08, Vol.50 (1), p.19-41

2019

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

Machine learning, 2016-09, Vol.104 (2-3), p.195-221

2016

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Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.258-268

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

Progress in Artificial Intelligence and Pattern Recognition, p.34-42

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Training regression ensembles by sequential target correction and resampling

Information sciences, 2012-07, Vol.195, p.154-174

2012

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TRAINING SUPPORT VECTOR MACHINES USING FRANK–WOLFE OPTIMIZATION METHODS

International journal of pattern recognition and artificial intelligence, 2013-05, Vol.27 (3), p.1360003

2013

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A Method to Predict Semantic Relations on Artificial Intelligence Papers

2021 IEEE International Conference on Big Data (Big Data), 2021, p.5795-5800

2021

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Boosting SpLSA for Text Classification

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017, Vol.10125, p.142-149

2017

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Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017, Vol.10125, p.208-216

2017

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Ensemble Learning with Local Diversity

Artificial Neural Networks – ICANN 2006, 2006, p.264-273

2006

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Local Negative Correlation with Resampling

Intelligent Data Engineering and Automated Learning – IDEAL 2006, 2006, p.570-577

2006

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Robust Bootstrapping Neural Networks

Lecture notes in computer science, 2004, p.813-822

2004

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

Adaptive and Natural Computing Algorithms, p.363-372

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L2-SVM Training with Distributed Data

Multiagent System Technologies, p.208-213

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A Data Ingestion Procedure towards a Medical Images Repository

An Attention-Based Architecture for Hierarchical Classification With CNNs

Efficient classification of multi-labeled text streams by clashing

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

Multi-attribute Transformers for Sequence Prediction in Business Process Management

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

Interpretable and effective hashing via Bernoulli variational auto-encoders

Collective annotation patterns in learning from crowds

A Binary Variational Autoencoder for Hashing

Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations

LocalBoost: A Parallelizable Approach to Boosting Classifiers

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

Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing

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

Training regression ensembles by sequential target correction and resampling

TRAINING SUPPORT VECTOR MACHINES USING FRANK–WOLFE OPTIMIZATION METHODS

A Method to Predict Semantic Relations on Artificial Intelligence Papers

Boosting SpLSA for Text Classification

Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm

Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso

Ensemble Learning with Local Diversity

Local Negative Correlation with Resampling

Robust Bootstrapping Neural Networks

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

L2-SVM Training with Distributed Data

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