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2020 – today
- 2024
[j8]Jorge Gonzalez-Zapata
, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez:
A metric learning approach for endoscopic kidney stone identification. Expert Syst. Appl. 255: 124711 (2024)- [c28]Iván Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA). CVPR Workshops 2024: 274-283 - [c27]Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul:
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. MICAI (2) 2024: 168-181 - [c26]Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. DEMI@MICCAI 2024: 84-94 - [i12]Sandra Leticia Juárez-Osorio, Mayra Alejandra Rivera-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello:
Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting. CoRR abs/2404.15377 (2024) - [i11]Jorge I. Hernandez-Martinez, Gerardo Rodriguez-Hernandez, Andres Mendez-Vazquez:
Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine. CoRR abs/2409.06146 (2024) - [i10]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. CoRR abs/2409.12883 (2024) - [i9]Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. CoRR abs/2409.19930 (2024) - [i8]Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul:
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. CoRR abs/2409.19934 (2024) - 2023
- [j7]Efrain Padilla-Zepeda, Deni Torres Román, Andres Mendez-Vazquez:
A Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios. Remote. Sens. 15(5): 1399 (2023) - [c25]Mayra Alejandra Rivera-Ruiz, Sandra Leticia Juárez-Osorio, Andres Mendez-Vazquez, José Mauricio López-Romero, Eduardo Rodriguez-Tello:
1D Quantum Convolutional Neural Network for Time Series Forecasting and Classification. MICAI (1) 2023: 17-35 - [i7]Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz:
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 abs/2305.09062 (2023) - [i6]Jorge Gonzalez-Zapata, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul:
A metric learning approach for endoscopic kidney stone identification. CoRR abs/2307.07046 (2023) - 2022
- [j6]Ivan-Alejandro Garcia-Ramirez, Arturo Calderon-Mora, Andres Mendez-Vazquez, Susana Ortega-Cisneros, Iván Reyes-Amezcua:
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures. Mach. Learn. Knowl. Extr. 4(1): 131-149 (2022) - [c24]Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Guided Deep Metric Learning. CVPR Workshops 2022: 1480-1488 - [c23]Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello:
MACFE: A Meta-learning and Causality Based Feature Engineering Framework. MICAI (1) 2022: 52-65 - [c22]Mayra Alejandra Rivera-Ruiz, Andres Mendez-Vazquez, José Mauricio López-Romero:
Time Series Forecasting with Quantum Machine Learning Architectures. MICAI (1) 2022: 66-82 - [c21]Carlos Cardenas-Ruiz, Andres Mendez-Vazquez, Luis M. Ramirez-Solis:
Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks. MICAI (1) 2022: 83-96 - [c20]Julia Alejandra Rodriguez-Abud, Andres Mendez-Vazquez:
Analysis of Procedural Generated Textures for Video Games Using a CycleGAN. MICAI (2) 2022: 239-251 - [c19]Mauricio Mendez-Ruiz, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul:
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. MICAI (1) 2022: 249-263 - [i5]Mauricio Mendez-Ruiz, Francisco Javier Lopez-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul:
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. CoRR abs/2205.00895 (2022) - [i4]Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Guided Deep Metric Learning. CoRR abs/2206.02029 (2022) - [i3]Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello:
MACFE: A Meta-learning and Causality Based Feature Engineering Framework. CoRR abs/2207.04010 (2022) - [i2]Manny Ko, Ujjawal K. Panchal, Héctor Andrade-Loarca, Andres Mendez-Vazquez:
CoShNet: A Hybird Complex Valued Neural Network using Shearlets. CoRR abs/2208.06882 (2022) - 2021
- [j5]Lea Vega, Andres Mendez-Vazquez, Armando López-Cuevas:
Probabilistic reasoning system for social influence analysis in online social networks. Soc. Netw. Anal. Min. 11(1): 1 (2021) - [c18]Mauricio Mendez-Ruiz, Ivan Garcia, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction. MICAI (1) 2021: 131-142 - [i1]Mauricio Mendez-Ruiz, Ivan Garcia, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction. CoRR abs/2107.06992 (2021)
2010 – 2019
- 2019
- [c17]Lea Vega, Andres Mendez-Vazquez:
Detecting of topic-specific leaders in social networks. ANT/EDI40 2019: 1188-1193 - 2018
- [p1]Arturo Garcia-Garcia, Andres Mendez-Vazquez, Marek Z. Reformat:
Generation and Reduction of Fuzzy Sets with PG-Means and Fuzzy Similarity Measures. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 287-307 - 2016
- [c16]Arturo Garcia-Garcia, Marek Z. Reformat, Andres Mendez-Vazquez:
Similarity-based method for reduction of fuzzy rules. NAFIPS 2016: 1-6 - 2015
- [j4]Cristian E. Boyain y Goytia Luna, Andres Mendez-Vazquez, Marco Antonio Ramos Corchado:
Autonomous Motion Planning for Avatars Limbs. Computación y Sistemas 19(3) (2015) - [c15]Jairo Salazar-Vazquez, Andres Mendez-Vazquez:
FuzzyVD: An algorithm that uses fuzzy logic and fuzzy systems to estimate the number of endmembers present in a hyperspectral image. NAFIPS/WConSC 2015: 1-8 - 2014
- [c14]Arturo Garcia-Garcia, Andres Mendez-Vazquez:
Learning fuzzy rules through ant optimization, LASSO and Dirichlet Mixtures. FUZZ-IEEE 2014: 2558-2565 - [c13]Fernando Santos Sanchez, Andres Mendez-Vazquez:
Sentiment Analysis for e-Services. IIAI-AAI 2014: 42-47 - 2013
- [j3]R. Rodríguez-Ávila, G. Núñez-Vega, Ramón Parra-Michel, Andres Mendez-Vazquez:
Frequency-Selective Joint Tx/Rx I/Q Imbalance Estimation Using Golay Complementary Sequences. IEEE Trans. Wirel. Commun. 12(5): 2171-2179 (2013) - [c12]David Ernesto Caro-Contreras, Andres Mendez-Vazquez:
Computing the Concept Lattice using Dendritical Neural Networks. CLA 2013: 141-152 - [c11]Agustin Sancen-Plaza, Andres Mendez-Vazquez:
Influence maximization for Big Data through entropy ranking and min-cut. CollaborateCom 2013: 87-95 - [c10]Miriam Carlos-Mancilla, J. Guadalupe Olascuaga-Cabrera, Ernesto López-Mellado, Andres Mendez-Vazquez:
Design and implementation of a robust wireless sensor network. CONIELECOMP 2013: 230-235 - [c9]Rafael Orozco-Lopez, Andres Mendez-Vazquez:
Fast and Robust Object Recognition Based on Reduced Shock-Graphs and Pruned-SIFT. MICAI (2) 2013: 376-387 - 2012
- [j2]Hichem Frigui, Lijun Zhang, Paul D. Gader, Joseph N. Wilson, K. C. Ho, Andres Mendez-Vazquez:
An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination. Inf. Fusion 13(2): 161-174 (2012) - [c8]J. Guadalupe Olascuaga-Cabrera, Andres Mendez-Vazquez, Ernesto López-Mellado:
A Novel Distributed Energy-Efficient Self-Organized Algorithm for Wireless Ad Hoc Networks. Intelligent Environments 2012: 19-26 - 2011
- [c7]J. Guadalupe Olascuaga-Cabrera, Ernesto López-Mellado, Andres Mendez-Vazquez:
A multi-objective PSO strategy for energy-efficient ad-hoc networking. SMC 2011: 2632-2639
2000 – 2009
- 2009
- [c6]Andres Mendez-Vazquez, Abdelsalam Helal, Diane J. Cook:
Synthesizing Datasets for Pervasive Spaces. Intelligent Environments 2009: 303-310 - [c5]Abdelsalam Helal, Andres Mendez-Vazquez, Shantonu Hossain:
Specification and synthesis of sensory datasets in pervasive spaces. ISCC 2009: 920-925 - 2008
- [j1]Andres Mendez-Vazquez, Paul D. Gader, James M. Keller, Kenneth Chamberlin:
Minimum Classification Error Training for Choquet Integrals With Applications to Landmine Detection. IEEE Trans. Fuzzy Syst. 16(1): 225-238 (2008) - [c4]Andres Mendez-Vazquez, Paul D. Gader:
Maximum A Posteriori EM MCE Logistic LASSO for learning fuzzy measures. FUZZ-IEEE 2008: 2007-2013 - 2007
- [c3]Andres Mendez-Vazquez, Paul D. Gader:
Sparsity Promotion Models for the Choquet Integral. FOCI 2007: 454-459 - 2004
- [c2]Paul D. Gader, Wen-Hsiung Lee, Andres Mendez-Vazquez:
Continuous Choquet integrals with respect to random sets with applications to landmine detection. FUZZ-IEEE 2004: 523-528 - [c1]Paul D. Gader, Andres Mendez-Vazquez, Kenneth Chamberlin, Jeremy Bolton, Alina Zare:
Multi-sensor and algorithm fusion with the Choquet integral: applications to landmine detection. IGARSS 2004: 1605-1608
Coauthor Index
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last updated on 2024-11-04 20:45 CET by the dblp team
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