Continuous Choquet integrals with respect to random sets with applications to landmine detection. - Paul D. Gader; Wen-Hsiung Lee; Andres Mendez-Vazquez (FUZZ-IEEE, 2004)

Multi-sensor and algorithm fusion with the Choquet integral: applications to landmine detection. - Paul D. Gader; Andres Mendez-Vazquez; Kenneth Chamberlin; Jeremy Bolton; Alina Zare (IGARSS, 2004)

Sparsity Promotion Models for the Choquet Integral. - Andres Mendez-Vazquez; Paul D. Gader (FOCI, 2007)

Maximum A Posteriori EM MCE Logistic LASSO for learning fuzzy measures. - Andres Mendez-Vazquez; Paul D. Gader (FUZZ-IEEE, 2008)

Minimum Classification Error Training for Choquet Integrals With Applications to Landmine Detection. - Andres Mendez-Vazquez; Paul D. Gader; James M. Keller; Kenneth Chamberlin (IEEE Trans. Fuzzy Syst., 2008)

Synthesizing Datasets for Pervasive Spaces. - Andres Mendez-Vazquez; Abdelsalam Helal; Diane J. Cook (Intelligent Environments, 2009)

Specification and synthesis of sensory datasets in pervasive spaces. - Abdelsalam Helal; Andres Mendez-Vazquez; Shantonu Hossain (ISCC, 2009)

A multi-objective PSO strategy for energy-efficient ad-hoc networking. - J. Guadalupe Olascuaga-Cabrera; Ernesto López-Mellado; Andres Mendez-Vazquez (SMC, 2011)

A Novel Distributed Energy-Efficient Self-Organized Algorithm for Wireless Ad Hoc Networks. - J. Guadalupe Olascuaga-Cabrera; Andres Mendez-Vazquez; Ernesto López-Mellado (Intelligent Environments, 2012)

An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination. - Hichem Frigui; Lijun Zhang 009; Paul D. Gader; Joseph N. Wilson; K. C. Ho 001; Andres Mendez-Vazquez (Inf. Fusion, 2012)

Computing the Concept Lattice using Dendritical Neural Networks. - David Ernesto Caro-Contreras; Andres Mendez-Vazquez (CLA, 2013)

Influence maximization for Big Data through entropy ranking and min-cut. - Agustin Sancen-Plaza; Andres Mendez-Vazquez (CollaborateCom, 2013)

Design and implementation of a robust wireless sensor network. - Miriam Carlos-Mancilla; J. Guadalupe Olascuaga-Cabrera; Ernesto López-Mellado; Andres Mendez-Vazquez (CONIELECOMP, 2013)

Fast and Robust Object Recognition Based on Reduced Shock-Graphs and Pruned-SIFT. - Rafael Orozco-Lopez; Andres Mendez-Vazquez (MICAI (2), 2013)

Frequency-Selective Joint Tx/Rx I/Q Imbalance Estimation Using Golay Complementary Sequences. - R. Rodríguez-Ávila; G. Núñez-Vega; Ramón Parra-Michel; Andres Mendez-Vazquez (IEEE Trans. Wirel. Commun., 2013)

Learning fuzzy rules through ant optimization, LASSO and Dirichlet Mixtures. - Arturo Garcia-Garcia; Andres Mendez-Vazquez (FUZZ-IEEE, 2014)

Sentiment Analysis for e-Services. - Fernando Santos Sanchez; Andres Mendez-Vazquez (IIAI-AAI, 2014)

FuzzyVD: An algorithm that uses fuzzy logic and fuzzy systems to estimate the number of endmembers present in a hyperspectral image. - Jairo Salazar-Vazquez; Andres Mendez-Vazquez (NAFIPS/WConSC, 2015)

Autonomous Motion Planning for Avatars Limbs. - Cristian E. Boyain y Goytia Luna; Andres Mendez-Vazquez; Marco Antonio Ramos Corchado (Computación y Sistemas, 2015)

Similarity-based method for reduction of fuzzy rules. - Arturo Garcia-Garcia; Marek Z. Reformat; Andres Mendez-Vazquez (NAFIPS, 2016)

Generation and Reduction of Fuzzy Sets with PG-Means and Fuzzy Similarity Measures. - Arturo Garcia-Garcia; Andres Mendez-Vazquez; Marek Z. Reformat (Fuzzy Logic Augmentation of Neural and Optimization Algorithms, 2018)

Detecting of topic-specific leaders in social networks. - Lea Vega; Andres Mendez-Vazquez (ANT/EDI40, 2019)

Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction. - Mauricio Mendez-Ruiz; Ivan Garcia; Jorge Gonzalez-Zapata; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (MICAI (1), 2021)

Probabilistic reasoning system for social influence analysis in online social networks. - Lea Vega; Andres Mendez-Vazquez; Armando López-Cuevas (Soc. Netw. Anal. Min., 2021)

Guided Deep Metric Learning. - Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Mauricio Mendez-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (CVPR Workshops, 2022)

Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks. - Carlos Cardenas-Ruiz; Andres Mendez-Vazquez; Luis M. Ramirez-Solis (MICAI (1), 2022)

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (MICAI (1), 2022)

MACFE: A Meta-learning and Causality Based Feature Engineering Framework. - Iván Reyes-Amezcua; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez; Eduardo Rodriguez-Tello (MICAI (1), 2022)

Time Series Forecasting with Quantum Machine Learning Architectures. - Mayra Alejandra Rivera-Ruiz; Andres Mendez-Vazquez; José Mauricio López-Romero (MICAI (1), 2022)

Analysis of Procedural Generated Textures for Video Games Using a CycleGAN. - Julia Alejandra Rodriguez-Abud; Andres Mendez-Vazquez (MICAI (2), 2022)

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Jonathan El Beze; Vincent Estrade; Gilberto Ochoa-Ruiz; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (CoRR, 2022)

CoShNet: A Hybird Complex Valued Neural Network using Shearlets. - Manny Ko; Ujjawal K. Panchal; Héctor Andrade-Loarca; Andres Mendez-Vazquez (CoRR, 2022)

A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures. - Ivan-Alejandro Garcia-Ramirez; Arturo Calderon-Mora; Andres Mendez-Vazquez; Susana Ortega-Cisneros; Iván Reyes-Amezcua (Mach. Learn. Knowl. Extr., 2022)

1D Quantum Convolutional Neural Network for Time Series Forecasting and Classification. - Mayra Alejandra Rivera-Ruiz; Sandra Leticia Juárez-Osorio; Andres Mendez-Vazquez; José Mauricio López-Romero; Eduardo Rodriguez-Tello (MICAI (1), 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. - Mauricio Mendez-Ruiz; Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Francisco Javier López-Tiro; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz (CoRR, 2023)

A Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios. - Efrain Padilla-Zepeda; Deni Torres Román; Andres Mendez-Vazquez (Remote. Sens., 2023)

Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA). - Iván Reyes-Amezcua; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (CVPR Workshops, 2024)

Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. - Iván Reyes-Amezcua; Michael Rojas-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez; Christian Daul (MICAI (2), 2024)

EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. - Iván Reyes-Amezcua; Ricardo Espinosa; Christian Daul; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (DEMI@MICCAI, 2024)

Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting. - Sandra Leticia Juárez-Osorio; Mayra Alejandra Rivera-Ruiz; Andres Mendez-Vazquez; Eduardo Rodriguez-Tello (CoRR, 2024)

Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine. - Jorge I. Hernandez-Martinez; Gerardo Rodriguez-Hernandez; Andres Mendez-Vazquez (CoRR, 2024)

Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Clément Larose; Salvador Hinojosa; Andres Mendez-Vazquez; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)

A metric learning approach for endoscopic kidney stone identification. - Jorge Gonzalez-Zapata; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Daniel Flores-Araiza; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul; Andres Mendez-Vazquez (Expert Syst. Appl., 2024)

Explorando la robustez adversaria ante el ataque adversario PGD de los modelos AlexNet, VGG y ResNet. - María Fernanda Castro-Sandoval; Iván Reyes-Amezcua; Andres Mendez-Vazquez (Res. Comput. Sci., 2024)

Análisis de impacto en clasificadores CNNs ante la evaluación de imágenes con perturbaciones naturales. - Robin A. Rojas-Álvarez; Iván Reyes-Amezcua; Andres Mendez-Vazquez (Res. Comput. Sci., 2024)

Graph-Based Deep Learning for Component Segmentation of Maize Plants. - J. I. Ruiz-Martinez; Andres Mendez-Vazquez; Eduardo Rodriguez-Tello (CoRR, 2025)

Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs. - Iván Reyes-Amezcua; Francisco Javier López-Tiro; Clément Larose; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2025)