Andres Mendez-Vazquez

58 papers B 6C 3Journal 27Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 J jnl
Configuration interaction guided sampling with interpretable restricted Boltzmann machine.
Mach. Learn. Sci. Technol.
Jorge I. Hernandez-Martinez, Andres Mendez-Vazquez, Gerardo Rodriguez-Hernandez, Sandra Leticia Juárez-Osorio
2025 J jnl
Graph-Based Deep Learning for Component Segmentation of Maize Plants.
CoRR
J. I. Ruiz-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
2025 J jnl
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition.
Artif. Intell. Medicine
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 — conf
Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy.
DEMI@MICCAI
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 — conf
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
MICAI (2)"
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
A metric learning approach for endoscopic kidney stone identification.
Expert Syst. Appl.
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez
2024 J jnl
Análisis de impacto en clasificadores CNNs ante la evaluación de imágenes con perturbaciones naturales.
Res. Comput. Sci.
Robin A. Rojas-Álvarez, Iván Reyes-Amezcua, Andres Mendez-Vazquez
2024 J jnl
Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine.
CoRR
Jorge I. Hernandez-Martinez, Gerardo Rodriguez-Hernandez, Andres Mendez-Vazquez
2024 — conf
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
DEMI@MICCAI
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 J jnl
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
CoRR
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 — conf
Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA).
CVPR Workshops
Iván Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 J jnl
Explorando la robustez adversaria ante el ataque adversario PGD de los modelos AlexNet, VGG y ResNet.
Res. Comput. Sci.
María Fernanda Castro-Sandoval, Iván Reyes-Amezcua, Andres Mendez-Vazquez
2024 J jnl
Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting.
CoRR
Sandra Leticia Juárez-Osorio, Mayra Alejandra Rivera-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
2024 J jnl
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 — conf
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
MICAI (2)
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2024 J jnl
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
CoRR
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2023 — conf
1D Quantum Convolutional Neural Network for Time Series Forecasting and Classification.
MICAI (1)
Mayra Alejandra Rivera-Ruiz, Sandra Leticia Juárez-Osorio, Andres Mendez-Vazquez, José Mauricio López-Romero, Eduardo Rodriguez-Tello
2023 J jnl
A Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios.
Remote. Sens.
Efrain Padilla-Zepeda, Deni Torres Román, Andres Mendez-Vazquez
2023 J jnl
A metric learning approach for endoscopic kidney stone identification.
CoRR
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
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
Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier López-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2022 J jnl
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures.
Mach. Learn. Knowl. Extr.
Ivan-Alejandro Garcia-Ramirez, Arturo Calderon-Mora, Andres Mendez-Vazquez, Susana Ortega-Cisneros, Iván Reyes-Amezcua
2022 — conf
Analysis of Procedural Generated Textures for Video Games Using a CycleGAN.
MICAI (2)
Julia Alejandra Rodriguez-Abud, Andres Mendez-Vazquez
2022 J jnl
CoShNet: A Hybird Complex Valued Neural Network using Shearlets.
CoRR
Manny Ko, Ujjawal K. Panchal, Héctor Andrade-Loarca, Andres Mendez-Vazquez
2022 — conf
Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks.
MICAI (1)
Carlos Cardenas-Ruiz, Andres Mendez-Vazquez, Luis M. Ramirez-Solis
2022 — conf
Guided Deep Metric Learning.
CVPR Workshops
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2022 J jnl
Guided Deep Metric Learning.
CoRR
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2022 — conf
MACFE: A Meta-learning and Causality Based Feature Engineering Framework.
MICAI (1)
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
2022 J jnl
MACFE: A Meta-learning and Causality Based Feature Engineering Framework.
CoRR
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
2022 — conf
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
MICAI (1)
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.
CoRR
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 — conf
Time Series Forecasting with Quantum Machine Learning Architectures.
MICAI (1)
Mayra Alejandra Rivera-Ruiz, Andres Mendez-Vazquez, José Mauricio López-Romero
2021 — conf
Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction.
MICAI (1)
Mauricio Mendez-Ruiz, Iván García, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2021 J jnl
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction.
CoRR
Mauricio Mendez-Ruiz, Iván García, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2021 J jnl
Probabilistic reasoning system for social influence analysis in online social networks.
Soc. Netw. Anal. Min.
Lea Vega, Andres Mendez-Vazquez, Armando López-Cuevas
2019 — conf
Detecting of topic-specific leaders in social networks.
ANT/EDI40
Lea Vega, Andres Mendez-Vazquez
2018 — ch.
Generation and Reduction of Fuzzy Sets with PG-Means and Fuzzy Similarity Measures.
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Arturo Garcia-Garcia, Andres Mendez-Vazquez, Marek Z. Reformat
2016 — conf
Similarity-based method for reduction of fuzzy rules.
NAFIPS
Arturo Garcia-Garcia, Marek Z. Reformat, Andres Mendez-Vazquez
2015 J jnl
Autonomous Motion Planning for Avatars Limbs.
Computación y Sistemas
Cristian E. Boyain y Goytia Luna, Andres Mendez-Vazquez, Marco Antonio Ramos Corchado
2015 — conf
FuzzyVD: An algorithm that uses fuzzy logic and fuzzy systems to estimate the number of endmembers present in a hyperspectral image.
NAFIPS/WConSC
Jairo Salazar-Vazquez, Andres Mendez-Vazquez
2014 B conf
Learning fuzzy rules through ant optimization, LASSO and Dirichlet Mixtures.
FUZZ-IEEE
Arturo Garcia-Garcia, Andres Mendez-Vazquez
2014 — conf
Sentiment Analysis for e-Services.
IIAI-AAI
Fernando Santos Sanchez, Andres Mendez-Vazquez
2013 — conf
Computing the Concept Lattice using Dendritical Neural Networks.
CLA
David Ernesto Caro-Contreras, Andres Mendez-Vazquez
2013 — conf
Design and implementation of a robust wireless sensor network.
CONIELECOMP
Miriam Carlos-Mancilla, J. Guadalupe Olascuaga-Cabrera, Ernesto López-Mellado, Andres Mendez-Vazquez
2013 — conf
Fast and Robust Object Recognition Based on Reduced Shock-Graphs and Pruned-SIFT.
MICAI (2)
Rafael Orozco-Lopez, Andres Mendez-Vazquez
2013 J jnl
Frequency-Selective Joint Tx/Rx I/Q Imbalance Estimation Using Golay Complementary Sequences.
IEEE Trans. Wirel. Commun.
R. Rodríguez-Ávila, G. Núñez-Vega, Ramón Parra-Michel, Andres Mendez-Vazquez
2013 C conf
Influence maximization for Big Data through entropy ranking and min-cut.
CollaborateCom
Agustin Sancen-Plaza, Andres Mendez-Vazquez
2012 B conf
A Novel Distributed Energy-Efficient Self-Organized Algorithm for Wireless Ad Hoc Networks.
Intelligent Environments
J. Guadalupe Olascuaga-Cabrera, Andres Mendez-Vazquez, Ernesto López-Mellado
2012 J jnl
An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination.
Inf. Fusion
Hichem Frigui, Lijun Zhang, Paul D. Gader, Joseph N. Wilson, K. C. Ho, Andres Mendez-Vazquez
2011 B conf
A multi-objective PSO strategy for energy-efficient ad-hoc networking.
SMC
J. Guadalupe Olascuaga-Cabrera, Ernesto López-Mellado, Andres Mendez-Vazquez
2009 C conf
Specification and synthesis of sensory datasets in pervasive spaces.
ISCC
Abdelsalam Helal, Andres Mendez-Vazquez, Shantonu Hossain
2009 B conf
Synthesizing Datasets for Pervasive Spaces.
Intelligent Environments
Andres Mendez-Vazquez, Abdelsalam Helal, Diane J. Cook
2008 B conf
Maximum A Posteriori EM MCE Logistic LASSO for learning fuzzy measures.
FUZZ-IEEE
Andres Mendez-Vazquez, Paul D. Gader
2008 J jnl
Minimum Classification Error Training for Choquet Integrals With Applications to Landmine Detection.
IEEE Trans. Fuzzy Syst.
Andres Mendez-Vazquez, Paul D. Gader, James M. Keller, Kenneth Chamberlin
2007 — conf
Sparsity Promotion Models for the Choquet Integral.
FOCI
Andres Mendez-Vazquez, Paul D. Gader
2004 B conf
Continuous Choquet integrals with respect to random sets with applications to landmine detection.
FUZZ-IEEE
Paul D. Gader, Wen-Hsiung Lee, Andres Mendez-Vazquez
2004 C conf
Multi-sensor and algorithm fusion with the Choquet integral: applications to landmine detection.
IGARSS
Paul D. Gader, Andres Mendez-Vazquez, Kenneth Chamberlin, Jeremy Bolton, Alina Zare