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2020 – today
- 2024
[j17]Francisco Javier Lopez-Tiro
, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa, Christian Daul:
On the In Vivo Recognition of Kidney Stones Using Machine Learning. IEEE Access 12: 10736-10759 (2024)- [j16]Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez:
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach. Eng. Appl. Artif. Intell. 127(Part A): 107275 (2024) - 2023
- [j15]Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
A semi-supervised Teacher-Student framework for surgical tool detection and localization. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1033-1041 (2023) - [j14]Jorge Francisco Ciprián-Sánchez, Vazquez-Garcia, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Adriana Palacios-Rosas, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz:
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery. Computación y Sistemas (CyS) 27(4) (2023) - [j13]Jorge Francisco Ciprián-Sánchez, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Lucile Rossi:
FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery. Neural Comput. Appl. 35(25): 18201-18213 (2023) - [c43]David Laines, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Gissella Bejarano:
Isolated Sign Language Recognition based on Tree Structure Skeleton Images. CVPR Workshops 2023: 276-284 - [c42]Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CVPR Workshops 2023: 285-294 - [c41]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CVPR Workshops 2023: 295-304 - [c40]Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning. ICCV (Workshops) 2023: 4167-4174 - [c39]Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul:
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging. ISBI 2023: 1-5 - [c38]Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. ISBI 2023: 1-5 - [c37]Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. MICAI (2) 2023: 131-141 - [c36]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz:
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. MICAI (2) 2023: 165-176 - [c35]Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Vazquez-Garcia, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Adriana Palacios, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz:
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery. MICAI (1) 2023: 213-226 - [c34]Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali:
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. CaPTion@MICCAI 2023: 40-51 - [c33]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata:
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores. CaPTion@MICCAI 2023: 83-93 - [i37]Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul:
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction. CoRR abs/2304.03171 (2023) - [i36]Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning. CoRR abs/2304.03193 (2023) - [i35]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CoRR abs/2304.04077 (2023) - [i34]David Laines, Gissella Bejarano, Miguel González-Mendoza, Gilberto Ochoa-Ruiz:
Isolated Sign Language Recognition based on Tree Structure Skeleton Images. CoRR abs/2304.05403 (2023) - [i33]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) - [i32]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) - [i31]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata:
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores. CoRR abs/2308.04653 (2023) - [i30]Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Gerardo Valente, Vazquez-Garcia, Gerardo Rodriguez-Hernandez, Adriana Palacios-Rosas, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz:
An FPGA smart camera implementation of segmentation models for drone wildfire imagery. CoRR abs/2309.01318 (2023) - [i29]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz:
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. CoRR abs/2309.01322 (2023) - [i28]Armando Villegas-Jimenez, Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Gilberto Ochoa-Ruiz, Christian Daul:
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images. CoRR abs/2309.01921 (2023) - 2022
- [j12]Christian Mata, Josep Munuera, Alain Lalande, Gilberto Ochoa-Ruiz, Raul Benitez:
MedicalSeg: A Medical GUI Application for Image Segmentation Management. Algorithms 15(6): 200 (2022) - [j11]Juan Carlos Angeles Ceron, Gilberto Ochoa Ruiz, Leonardo Chang, Sharib Ali:
Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion. Medical Image Anal. 81: 102569 (2022) - [c32]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 - [c31]Carlos Vilchis, Miguel González-Mendoza, Leonardo Chang, Sergio A. Navarro-Tuch, Gilberto Ochoa Ruiz, Isaac Rudomín:
A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI. VISIGRAPP (2: HUCAPP) 2022: 154-162 - [c30]Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Stephan-Otto, Christian Mata:
Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation. MICAI (1) 2022: 26-37 - [c29]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 - [c28]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 - [c27]Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Falcón-Morales, Dominique Lamarque, Christian Daul:
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models. MICAI (1) 2022: 267-281 - [c26]Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Christian Mata:
Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures. MICAI (1) 2022: 282-296 - [c25]Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques. MICAI (1) 2022: 327-338 - [c24]Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection. CaPTion@MICCAI 2022: 67-76 - [i27]Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Joaquim Casal, Miguel González-Mendoza, Luis Eduardo Falcón-Morales:
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods. CoRR abs/2201.07931 (2022) - [i26]Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul:
On the in vivo recognition of kidney stones using machine learning. CoRR abs/2201.08865 (2022) - [i25]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) - [i24]Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul:
Comparing feature fusion strategies for Deep Learning-based kidney stone identification. CoRR abs/2206.00069 (2022) - [i23]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. CoRR abs/2206.00252 (2022) - [i22]Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata:
Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation. CoRR abs/2206.00536 (2022) - [i21]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) - [i20]Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez:
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach. CoRR abs/2206.02110 (2022) - [i19]Pedro Esteban Chavarrias-Solano, Carlos Axel Garcia-Vega, Francisco Javier Lopez-Tiro, Gilberto Ochoa-Ruiz, Thomas Bazin, Dominique Lamarque, Christian Daul:
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams. CoRR abs/2206.07580 (2022) - [i18]Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Eduardo Falcón-Morales, Dominique Lamarque, Christian Daul:
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models. CoRR abs/2207.02396 (2022) - [i17]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) - [i16]Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Christian Mata:
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures. CoRR abs/2207.09483 (2022) - [i15]Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Knowledge distillation with a class-aware loss for endoscopic disease detection. CoRR abs/2207.09530 (2022) - [i14]Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
A semi-supervised Teacher-Student framework for surgical tool detection and localization. CoRR abs/2208.09926 (2022) - [i13]Mansoor Ali, Rafael Martinez Garcia Peña, Gilberto Ochoa Ruiz, Sharib Ali:
A comprehensive survey on recent deep learning-based methods applied to surgical data. CoRR abs/2209.01435 (2022) - [i12]Francisco Javier Lopez-Tiro, Juan Pablo Betancur-Rengifo, Arturo J. Ruiz-Sanchez, Iván Reyes-Amezcua, Jonathan El Beze, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul:
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. CoRR abs/2210.13654 (2022) - [i11]Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul:
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging. CoRR abs/2210.15033 (2022) - [i10]Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. CoRR abs/2211.02967 (2022) - [i9]Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CoRR abs/2211.04658 (2022) - 2021
- [j10]Sadia Basar, Mushtaq Ali, Gilberto Ochoa-Ruiz, Abdul Waheed, Gerardo Rodriguez-Hernandez, Mahdi Zareei:
A Novel Defocused Image Segmentation Method Based on PCNN and LBP. IEEE Access 9: 87219-87240 (2021) - [c23]Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega:
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. CVPR Workshops 2021: 1273-1281 - [c22]Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa Ruiz, Sharib Ali:
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. EMBC 2021: 1824-1827 - [c21]Francisco Javier Lopez-Tiro, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul:
Assessing deep learning methods for the identification of kidney stones in endoscopic images. EMBC 2021: 2778-2781 - [c20]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 - [c19]Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel González-Mendoza, Luis Eduardo Falcón-Morales:
Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones. MICAI (1) 2021: 161-172 - [i8]Jorge Francisco Ciprián-Sánchez, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Lucile Rossi:
Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery. CoRR abs/2101.11745 (2021) - [i7]Francisco Javier Lopez-Tiro, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul:
Assessing deep learning methods for the identification of kidney stones in endoscopic images. CoRR abs/2103.01146 (2021) - [i6]Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali:
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. CoRR abs/2103.15997 (2021) - [i5]Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang-Fernandez, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega:
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. CoRR abs/2104.05124 (2021) - [i4]Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel González-Mendoza, Luis Eduardo Falcón-Morales:
Comparing ML based Segmentation Models on Jet Fire Radiation Zone. CoRR abs/2107.03461 (2021) - [i3]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) - [i2]Juan Carlos Angeles Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali:
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion. CoRR abs/2111.04911 (2021) - 2020
- [c18]Humberto Garcia, Alberto Ochoa-Zezzatti, Abraham Martínez-Retamoza, Gilberto Ochoa, Lina Aguilar, Diego Oliva, José Mejía:
Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields. AICV 2020: 381-392 - [c17]Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Aguilar, Christian Daul, Gilberto Ochoa:
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. EMBC 2020: 1936-1939 - [c16]Cecilia Irene Loeza Mejía, Roshan Biswal Rajesh, Eduardo Rodriguez-Tello, Gilberto Ochoa-Ruiz:
Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation. MCPR 2020: 242-250 - [d1]Gilberto Ochoa Ruiz, Andres Alonso Angulo Murillo:
Road Surface Damages. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j9]Amhed A. Ortiz-Preciado, Juan Antonio Vega Fernández, Gilberto Ochoa-Ruiz:
Clasificación de enfermedades del tórax usando aprendizaje profundo y aumento de datos de calidad en el conjunto de datos ChestX-ray8. Res. Comput. Sci. 148(8): 41-53 (2019) - [c15]Carlos Jose Maria Casillas Mora, Gilberto Ochoa-Ruiz, Lina Maria Aguilar-Lobo:
IoT-based panel for real time traffic data monitoring in Smart Cities: A case study in the Guadalajara Metropolitan Zone. CONIELECOMP 2019: 104-111 - [c14]Edgar Mosqueda Cárdenas, José P. de la Rosa Gutiérrez, Lina Maria Aguilar-Lobo, Gilberto Ochoa Ruiz:
Automatic Detection and Classification of Hearing Loss Conditions Using an Artificial Neural Network Approach. MCPR 2019: 227-237 - [c13]Andres A. Angulo, Juan Antonio Vega Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, Gilberto Ochoa-Ruiz:
Road Damage Detection Acquisition System Based on Deep Neural Networks for Physical Asset Management. MICAI 2019: 3-14 - [i1]Andres A. Angulo, Juan Antonio Vega Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, Gilberto Ochoa-Ruiz:
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management. CoRR abs/1909.08991 (2019) - 2018
- [j8]Gilberto Ochoa-Ruiz, Pamela Wattebled, Maamar Touiza, Florent de Lamotte, El-Bay Bourennane, Samy Meftali, Jean-Luc Dekeyser, Jean-Philippe Diguet:
A modeling front-end for seamless design and generation of context-aware Dynamically Reconfigurable Systems-on-Chip. J. Parallel Distributed Comput. 112: 1-19 (2018) - [j7]Gilberto Ochoa-Ruiz, Lina Maria Aguilar-Lobo, Romain Bevan, Florent de Lamotte, Jean-Philippe Diguet:
Towards Dynamically Reconfigurable SoCs (DRSoCs) in industrial automation: State of the art, challenges and opportunities. Microprocess. Microsystems 62: 20-40 (2018) - 2017
- [j6]Gilberto Ochoa-Ruiz, Romain Bevan, Florent de Lamotte, Jean-Philippe Diguet, Cheng-Cong Bao:
Real-Time Control System for Improved Precision and Throughput in an Ultrafast Carbon Fiber Placement Robot Using a SoC FPGA Extended Processing Platform. Int. J. Reconfigurable Comput. 2017: 3298734:1-3298734:20 (2017) - [c12]Luis Alberto Pineda Cortés, José Martínez-Carranza, Gilberto Ochoa Ruiz, Slavko Milekic, Efraín Alcorta-García, Emilio Bucio Carrillo, Alejandro Herrera, Ramon Reyes, Miguel Camacho:
Plenary talks [6 abstracts]. CONIELECOMP 2017: 1-8 - [c11]Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz:
Run-Time Scalable NoC for FPGA Based Virtualized IPs. MCSoC 2017: 91-97 - 2016
- [c10]Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz:
NoC Based Virtualized Accelerators for Cloud Computing. MCSoC 2016: 133-137 - 2015
- [j5]Gilberto Ochoa-Ruiz, Sébastien Guillet, Florent de Lamotte, Éric Rutten, El-Bay Bourennane, Jean-Philippe Diguet, Guy Gogniat:
An MDE Approach for Rapid Prototyping and Implementation of Dynamic Reconfigurable Systems. ACM Trans. Design Autom. Electr. Syst. 21(1): 8:1-8:25 (2015) - [c9]Dominique Blouin, Gilberto Ochoa-Ruiz, Yvan Eustache, Jean-Philippe Diguet:
Kaolin: A system-level AADL tool for FPGA design reuse, upgrade and migration. AHS 2015: 1-8 - 2014
- [c8]Marco A. Gómez, Sabine Mondié, Gilberto Ochoa:
Necessary exponential stability conditions for scalar periodic time-delay systems. CCE 2014: 1-5 - 2013
- [b1]Gilberto Ochoa Ruiz:
A high-level methodology for automatically generating dynamically reconfigurable systems using IP-XACT and the UML MARTE profile. (Méthodologie de conception de haut niveau pour la génération automatique des systèmes dynamiquement reconfigurables en utilisant IP-XACT et le profil UML MARTE). University of Burgundy, Dijon, France, 2013 - [j4]Maamar Touiza, Gilberto Ochoa-Ruiz, El-Bay Bourennane, Abderrezak Guessoum, Kamel Messaoudi:
A novel methodology for accelerating bitstream relocation in partially reconfigurable systems. Microprocess. Microsystems 37(3): 358-372 (2013) - [j3]Gilberto Ochoa, Vladimir L. Kharitonov, Sabine Mondié:
Critical frequencies and parameters for linear delay systems: A Lyapunov matrix approach. Syst. Control. Lett. 62(9): 781-790 (2013) - 2012
- [j2]Gilberto Ochoa-Ruiz, Ouassila Labbani, El-Bay Bourennane, Philippe Soulard, Sana Cherif:
A high-level methodology for automatically generating dynamic partially reconfigurable systems using IP-XACT and the UML MARTE profile. Des. Autom. Embed. Syst. 16(3): 93-128 (2012) - [c7]Gilberto Ochoa, Ouassila Labbani, El-Bay Bourennane, Philippe Soulard:
Model-Driven Approach for Automatic Dynamic Partially Reconfigurable IP Customization. IPDPS Workshops 2012: 407-412 - [c6]Gilberto Ochoa-Ruiz, Ouassila Labbani-Narsis, El-Bay Bourennane, Sana Cherif, Samy Meftali, Jean-Luc Dekeyser:
Facilitating IP deployment in a MARTE-based MDE methodology using IP-XACT: A Xilinx EDK case study. ReConFig 2012: 1-8 - [c5]Gilberto Ochoa-Ruiz, Ouassila Labbani, El-Bay Bourennane, Sana Cherif, Samy Meftali, Jean-Luc Dekeyser:
Enabling partially reconfigurable IP cores parameterisation and integration using MARTE and IP-XACT. RSP 2012: 107-113 - [c4]Gilberto Ochoa, Sabine Mondié, Daniel Alejandro Melchor-Aguilar:
Critical Parameters of Integral Systems with a Class of Analytic Kernels. TDS 2012: 248-253 - 2011
- [j1]Sabine Mondié, Gilberto Ochoa, Blanca M. Ochoa:
Instability conditions for linear time delay systems: a Lyapunov matrix function approach. Int. J. Control 84(10): 1601-1611 (2011) - [c3]Gilberto Ochoa, El-Bay Bourennane, Hassan Rabah, Ouassila Labbani:
High-level modelling and automatic generation of dynamicaly reconfigurable systems. DASIP 2011: 332-339 - [c2]Gilberto Ochoa, El-Bay Bourennane, Ouassila Labbani, Kamel Messaoudi:
IP-XACT and marte based approach for partially reconfigurable systems-on-chip. FDL 2011: 1-8
2000 – 2009
- 2008
- [c1]Gilberto Ochoa, Sabine Mondié:
Instability conditions for neutral type time delay systems. CDC 2008: 5286-5291
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-19 21:04 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
