Andres Mendez-Vazquez

Orcid: 0000-0001-7121-8195

According to our database1, Andres Mendez-Vazquez authored at least 37 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios.
Remote. Sens., March, 2023

A metric learning approach for endoscopic kidney stone identification.
CoRR, 2023

SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification.
CoRR, 2023

1D Quantum Convolutional Neural Network for Time Series Forecasting and Classification.
Proceedings of the Advances in Computational Intelligence, 2023

2022
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures.
Mach. Learn. Knowl. Extr., 2022

CoShNet: A Hybird Complex Valued Neural Network using Shearlets.
CoRR, 2022

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.
CoRR, 2022

Analysis of Procedural Generated Textures for Video Games Using a CycleGAN.
Proceedings of the Advances in Computational Intelligence, 2022

Time Series Forecasting with Quantum Machine Learning Architectures.
Proceedings of the Advances in Computational Intelligence, 2022

MACFE: A Meta-learning and Causality Based Feature Engineering Framework.
Proceedings of the Advances in Computational Intelligence, 2022

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
Proceedings of the Advances in Computational Intelligence, 2022

Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2022

Guided Deep Metric Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Probabilistic reasoning system for social influence analysis in online social networks.
Soc. Netw. Anal. Min., 2021

Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction.
Proceedings of the Advances in Computational Intelligence, 2021

2019
Detecting of topic-specific leaders in social networks.
Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

2018
Generation and Reduction of Fuzzy Sets with PG-Means and Fuzzy Similarity Measures.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

2016
Similarity-based method for reduction of fuzzy rules.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

2015
Autonomous Motion Planning for Avatars Limbs.
Computación y Sistemas, 2015

FuzzyVD: An algorithm that uses fuzzy logic and fuzzy systems to estimate the number of endmembers present in a hyperspectral image.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

2014
Sentiment Analysis for e-Services.
Proceedings of the IIAI 3rd International Conference on Advanced Applied Informatics, 2014

Learning fuzzy rules through ant optimization, LASSO and Dirichlet Mixtures.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Frequency-Selective Joint Tx/Rx I/Q Imbalance Estimation Using Golay Complementary Sequences.
IEEE Trans. Wirel. Commun., 2013

Fast and Robust Object Recognition Based on Reduced Shock-Graphs and Pruned-SIFT.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Design and implementation of a robust wireless sensor network.
Proceedings of the 23rd International Conference on Electronics, 2013

Influence maximization for Big Data through entropy ranking and min-cut.
Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, 2013

Computing the Concept Lattice using Dendritical Neural Networks.
Proceedings of the Tenth International Conference on Concept Lattices and Their Applications, 2013

2012
An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination.
Inf. Fusion, 2012

A Novel Distributed Energy-Efficient Self-Organized Algorithm for Wireless Ad Hoc Networks.
Proceedings of the 2012 Eighth International Conference on Intelligent Environments, 2012

2011
A multi-objective PSO strategy for energy-efficient ad-hoc networking.
Proceedings of the IEEE International Conference on Systems, 2011

2009
Specification and synthesis of sensory datasets in pervasive spaces.
Proceedings of the 14th IEEE Symposium on Computers and Communications (ISCC 2009), 2009

Synthesizing Datasets for Pervasive Spaces.
Proceedings of the Intelligent Environments 2009 - Proceedings of the 5th International Conference on Intelligent Environments, 2009

2008
Minimum Classification Error Training for Choquet Integrals With Applications to Landmine Detection.
IEEE Trans. Fuzzy Syst., 2008

Maximum A Posteriori EM MCE Logistic LASSO for learning fuzzy measures.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Sparsity Promotion Models for the Choquet Integral.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2004
Multi-sensor and algorithm fusion with the Choquet integral: applications to landmine detection.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Continuous Choquet integrals with respect to random sets with applications to landmine detection.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004


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