Lista de obras - Ponnuthurai Suganthan - Dominio Público Uruguay

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

artículo científico publicado en 2014

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

artículo científico publicado en 2014

A machine learning approach for the identification of odorant binding proteins from sequence-derived properties

artículo científico publicado en 2007

A novel dependency-oriented mixed-attribute data classification method

artículo científico publicado en 2022

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

artículo científico publicado en 2010

An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization

artículo científico publicado en 2011

Computational intelligence in sports: Challenges and opportunities within a new research domain

artículo científico publicado en 2015

Differential Evolution: A Survey of the State-of-the-Art

artículo científico publicado en 2011

Differential evolution with orthogonal array‐based initialization and a novel selection strategy

artículo científico publicado en 2022

Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization

artículo científico publicado en 2015

Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm

artículo científico publicado en 2018

Gene selection algorithms for microarray data based on least squares support vector machine.

artículo científico publicado en 2006

Hierarchical overlapped SOM's for pattern classification

artículo científico publicado en 1999

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine.

artículo científico publicado en 2010

Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems

artículo científico publicado en 2019

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates

artículo científico publicado en 2009

Neil3 induced neurogenesis protects against prion disease during the clinical phase

artículo científico publicado en 2016

Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine.

artículo científico publicado en 2014

Predicting protein structural class by SVM with class-wise optimized features and decision probabilities.

artículo científico publicado en 2008

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

scientific article published in 2022

Representation learning using deep random vector functional link networks for clustering

artículo científico publicado en 2022

Robust growing neural gas algorithm with application in cluster analysis

artículo científico publicado en 2004

Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search

artículo científico publicado en 2023

Scheduling Multiobjective Dynamic Surgery Problems via $Q$-Learning-Based Meta-Heuristics

artículo científico publicado en 2024

Shape indexing using self-organizing maps

artículo científico publicado en 2002

Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics

artículo científico publicado en 2019

Structural pattern recognition using genetic algorithms with specialized operators

artículo científico publicado en 2003

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm

artículo científico publicado en 2022

Visual Tracking With Convolutional Random Vector Functional Link Network

artículo científico publicado en 2016

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

artículo científico publicado en 2022

Lista de obras de Ponnuthurai Suganthan

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

A machine learning approach for the identification of odorant binding proteins from sequence-derived properties

A novel dependency-oriented mixed-attribute data classification method

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization

Computational intelligence in sports: Challenges and opportunities within a new research domain

Differential Evolution: A Survey of the State-of-the-Art

Differential evolution with orthogonal array‐based initialization and a novel selection strategy

Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization

Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm

Gene selection algorithms for microarray data based on least squares support vector machine.

Hierarchical overlapped SOM's for pattern classification

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine.

Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates

Neil3 induced neurogenesis protects against prion disease during the clinical phase

Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine.

Predicting protein structural class by SVM with class-wise optimized features and decision probabilities.

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

Representation learning using deep random vector functional link networks for clustering

Robust growing neural gas algorithm with application in cluster analysis

Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search

Scheduling Multiobjective Dynamic Surgery Problems via $Q$-Learning-Based Meta-Heuristics

Shape indexing using self-organizing maps

Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics

Structural pattern recognition using genetic algorithms with specialized operators

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm

Visual Tracking With Convolutional Random Vector Functional Link Network

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification