Fernando Niño - researchr alias

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Viewing Publication 1 - 31 from 31

2022

Monitoring of Inland Water Levels by Satellite Altimetry and Deep LearningFernando Niño, Clément Coggiola, Denis Blumstein, Léa Lasson, Stéphane Calmant. tgrs, 60:1-14, 2022. [doi]

2019

X-Track/Ales Regional Altimeter Product for Coastal Application: Toward a New Multi-Mission Altimetry Product at High ResolutionFabien Léger, Florence Birol, Fernando Niño, Marcello Passaro, Florence Marti, Anny Cazenave. igarss 2019: 8271-8274 [doi]

2018

Monitoring Water Levels and Discharges Using Radar Altimetry in an Ungauged River Basin: The Case of the OgoouéSakaros Bogning, Frédéric Frappart, Fabien Blarel, Fernando Niño, Gil Mahé, Jean-Pierre Bricquet, Frédérique Seyler, Raphaël Onguéné, Jacques Etamé, Marie-Claire Paiz, Jean-Jacques Braun. remotesensing, 10(2):350, 2018. [doi]

Estimating River Discharges in the Ogooue River Basin Using Satellite Altimetry DataSakaros Bogning, Frédéric Frappart, Fabien Blarel, Fernando Niño, Gil Mahé, Frédérique Seyler, Jean-Jacques Braun, Raphaël Onguéné, Jacques Etamé. igarss 2018: 9304-9307 [doi]

Impact of Surface Soil Moisture Variations on Radar Altimetry Echoes at Ku and Ka Bands in Semi-Arid AreasChristophe Fatras, Pierre Borderies, Frédéric Frappart, Eric Mougin, Denis Blumstein, Fernando Niño. remotesensing, 10(4):582, 2018. [doi]

2013

A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking ProcessAngelica Sandoval-Perez, David Becerra, Diana Vanegas, Daniel Restrepo-Montoya, Fernando Niño. eurogp 2013: 181-192 [doi]

2012

A Genetic-Based Solution to the Task-Based Sailor Assignment ProblemDipankar Dasgupta, Deon Garrett, Fernando Niño, Alex Banceanu, David Becerra. In Raymond Chiong, Thomas Weise, Zbigniew Michalewicz, editors, Variants of Evolutionary Algorithms for Real-World Applications. pages 167-203, Springer, 2012. [doi]

2011

Recent Advances in Artificial Immune Systems: Models and ApplicationsDipankar Dasgupta, Senhua Yu, Fernando Niño. asc, 11(2):1574-1587, 2011. [doi]

2010

A parallel framework for multi-objective evolutionary optimizationDipankar Dasgupta, David Camilo Becerra Romero, Alex Banceanu, Fernando Niño, James Simien. cec 2010: 1-8 [doi]

Evolving Gaming Strategies for Attacker-Defender in a Simulated Network EnvironmentPavan Kalyan Vejandla, Dipankar Dasgupta, Aishwarya Kaushal, Fernando Niño. socialcom 2010: 889-896 [doi]

2008

A goalkeeper strategy in robot soccer based on Danger TheoryCamilo Eduardo Prieto, Fernando Niño, Gerardo Quintana. cec 2008: 3443-3447 [doi]

An artificial immune system model for knowledge extraction and representationAndres Romero, Fernando Niño, Gerardo Quintana. cec 2008: 3413-3420 [doi]

2007

A Solution Concept for Artificial Immune Networks: A Coevolutionary PerspectiveOscar M. Alonso, Fabio A. González, Fernando Niño, Juan Carlos Galeano. icaris 2007: 35-46 [doi]

A Framework for Evolving Multi-Shaped Detectors in Negative SelectionSankalp Balachandran, Dipankar Dasgupta, Fernando Niño, Deon Garrett. foci 2007: 401-408 [doi]

A Novel Methodology for Characterizing and Predicting Protein Functional SitesLeonardo Bobadilla, Fernando Niño, Edilberto Cepeda, Manuel A. Patarroyo. bibm 2007: 349-354 [doi]

Characterizing and Predicting Catalytic Residues in Enzyme Active Sites Based on Local Properties: A Machine Learning ApproachLeonardo Bobadilla, Fernando Niño, Edilberto Cepeda, Manuel A. Patarroyo. bibe 2007: 938-945 [doi]

Keyword extraction using an artificial immune systemAndres Romero, Fernando Niño. gecco 2007: 181 [doi]

Sistema Inmune Artificial Basado en Teoría de la Información para la Extracción de Palabras Clave de Documentos de TextoAndrés Romero, Fernando Niño. rasi, 4(2):25-32, 2007. [doi]

2006

An Immune-based Multilayered Cognitive Model for Autonomous NavigationDiego A. Romero, Fernando Niño. cec 2006: 391-398 [doi]

2005

Predicting and Characterizing metal-binding sites using Support Vector MachinesLeonardo Bobadilla, Fernando Niño, G. Narasimhan. In Matthew He, Giri Narasimhan, Sergei Petoukhov, editors, Advances in Bioinformatics and Its Applications. Volume 8 of Series in mathematical biology and medicine, World Scientific, 2005. [doi]

Towards a self-stopping evolutionary algorithm using coupling from the pastGerman Hernandez, Kenneth Wilder, Fernando Niño, Julian Garcia. gecco 2005: 615-620 [doi]

2004

A Robust Immune Based Approach to the Iterated Prisoner?s DilemmaOscar M. Alonso, Fernando Niño, Marcos Velez. icaris 2004: 290-301 [doi]

On geometric and statistical properties of the attractors of a generic evolutionary algorithmGerman Hernandez, Fernando Niño, Julian Garcia, Dipankar Dasgupta. cec 2004: 1240-1247 [doi]

A Game-Theoretic Approach to Artificial Immune NetworksMarcos Velez, Fernando Niño, Oscar M. Alonso. icaris 2004: 372-385 [doi]

2003

Coevolutionary learning in the tragedy of the commonsJulian Garcia, Fernando Niño. cec 2003: 2202-2209 [doi]

A Novel Immune Anomaly Detection Technique Based on Negative SelectionFernando Niño, D. Gómez, R. Vejar. gecco 2003: 243-245 [doi]

Classification of Natural Language Sentences using Neural NetworksSergio Roa, Fernando Niño. flairs 2003: 444-449

2002

A change detection software agent based on immune mixed selectionFernando Niño, Oscar Beltran. cec 2002: 693-698 [doi]

2000

An evolutionary algorithm for fractal coding of binary imagesDipankar Dasgupta, German Hernandez, Fernando Niño. tec, 4(2):172-181, 2000.

Financial time series modeling with evolutionary trained random iterated neural networksFernando Niño, German Hernandez, Andrés Parra. cifer 2000: 178-181 [doi]

1999

Stochastic Differential Model for Evolutionary Algorithms over Continuous SpacesGerman Hernandez, Jerome A. Goldstein, Fernando Niño. gecco 1999: 863-870

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