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Saúl Calderón Ramírez
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2020 – today
- 2024
- [i10]Stefan Bott, Horacio Saggion, Nelson Perez-Rojas, Martin Solis-Salazar, Saúl Calderón Ramírez:
MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish. CoRR abs/2404.07814 (2024) - 2023
- [j9]Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez
, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello
:
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. 35(30): 22151-22161 (2023) - [j8]Saúl Calderón Ramírez
, Luis Oala
, Jordina Torrents-Barrena, Shengxiang Yang
, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek
, Miguel A. Molina-Cabello
, Ezequiel López-Rubio:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4(2): 282-291 (2023) - [c18]Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi:
Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model. ICMLA 2023: 1635-1642 - [i9]Nelson Perez-Rojas, Saúl Calderón Ramírez, Martin Solis-Salazar, Mario Romero-Sandoval, Monica Arias-Monge, Horacio Saggion:
A Novel Dataset for Financial Education Text Simplification in Spanish. CoRR abs/2312.09897 (2023) - 2022
- [j7]Saúl Calderón Ramírez
, Shengxiang Yang
, David A. Elizondo
, Armaghan Moemeni
:
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities. Appl. Soft Comput. 123: 108983 (2022) - [j6]Saúl Calderón Ramírez
, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang
, Armaghan Moemeni
, Miguel A. Molina-Cabello:
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. 60(4): 1159-1175 (2022) - [j5]Saúl Calderón Ramírez
, Shengxiang Yang
, David A. Elizondo:
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. IEEE Trans. Artif. Intell. 3(6): 1015-1029 (2022) - [c17]Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez
, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello:
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. IWBBIO (2) 2022: 375-388 - [i8]Saúl Calderón Ramírez
, Shengxiang Yang, David A. Elizondo:
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. CoRR abs/2203.00190 (2022) - [i7]Isaac Benavides-Mata, Saúl Calderón Ramírez
:
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images. CoRR abs/2211.02142 (2022) - 2021
- [j4]Saúl Calderón Ramírez
, Shengxiang Yang
, Armaghan Moemeni
, Simon Colreavy-Donnelly
, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán
, Manuel Jiménez-Navarro, Ezequiel López-Rubio
, Miguel A. Molina-Cabello
:
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9: 85442-85454 (2021) - [j3]Saúl Calderón Ramírez
, Shengxiang Yang
, Armaghan Moemeni
, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
:
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. 111: 107692 (2021) - [j2]Luis Oala
, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr
, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi
, Martin Meyer, Federico Cabitza, Pat Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah
, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz
, Pavol Bielik, Saúl Calderón Ramírez
, Auss Abbood, Nicolas Langer
, Stefan Haufe, Ferath Kherif
, Sameer Pujari, Wojciech Samek, Thomas Wiegand:
Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45(12): 105 (2021) - [c16]Saúl Calderón Ramírez
, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang
, Armaghan Moemeni
, David A. Elizondo, Ezequiel López-Rubio
, Miguel A. Molina-Cabello:
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN 2021: 1-8 - [c15]Willard Zamora-Cárdenas, Mauro Mendez
, Saúl Calderón Ramírez
, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. IWANN (1) 2021: 36-46 - [i6]Saúl Calderón Ramírez, Luis Oala
:
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data. CoRR abs/2104.10223 (2021) - [i5]Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Miguel A. Molina-Cabello:
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. CoRR abs/2106.05843 (2021) - [i4]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello:
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. CoRR abs/2107.11696 (2021) - [i3]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. CoRR abs/2109.00889 (2021) - 2020
- [j1]Angel García-Pedrero
, Ana Garcia-Cervigon
, Jose M. Olano, Miguel Garcia-Hidalgo
, Mario Lillo-Saavedra
, Consuelo Gonzalo-Martín
, Cristina Caetano, Saúl Calderón Ramírez
:
Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images. Neural Comput. Appl. 32(24): 17927-17939 (2020) - [c14]Saúl Calderón Ramírez
, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni
, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR 2020: 5294-5301 - [c13]Ariana Bermudez, Saúl Calderón Ramírez
, Trevor Thang, Pascal N. Tyrrell
, Armaghan Moemeni
, Shengxiang Yang, Jordina Torrents-Barrena:
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. IJCNN 2020: 1-6 - [c12]Luis Oala
, Jana Fehr
, Luca Gilli, Pradeep Balachandran, Alixandro Werneck Leite, Saúl Calderón Ramírez, Danny Xie Li, Gabriel Nobis, Erick Alejandro Muñoz Alvarado, Giovanna Jaramillo-Gutierrez, Christian Matek, Arun Shroff, Ferath Kherif, Bruno Sanguinetti, Thomas Wiegand:
ML4H Auditing: From Paper to Practice. ML4H@NeurIPS 2020: 280-317 - [i2]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello:
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR abs/2006.07767 (2020) - [i1]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR abs/2008.08496 (2020)
2010 – 2019
- 2019
- [c11]Iván Calvo, Saúl Calderón Ramírez, Jordina Torrents-Barrena, Erick Muñoz, Domenec Puig:
Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images. CARLA 2019: 262-275 - [c10]Mauro Mendez
, Saúl Calderón Ramírez, Pascal N. Tyrrell
:
Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance. CARLA 2019: 307-319 - [c9]Joel Barrantes-Garro, Hellen Rodríguez-Morales, Adrián Garnier-Artiñano, Saúl Calderón Ramírez, Fabian Porras-Jiménez, Luís Carlos Corrales-Arley, Ricardo Brenes-Camacho:
Insight GT: A Public, Fast, Web Image Ground Truth Authoring Tool. CARLA 2019: 398-405 - [c8]Juan Villacis-Llobet, Marco Lucio-Troya, Marvin Calvo-Navarro, Saúl Calderón Ramírez
, Erick Mata-Montero
:
A First Glance into Reversing Senescence on Herbarium Sample Images Through Conditional Generative Adversarial Networks. CARLA 2019: 438-447 - [c7]Jose Carranza-Rojas, Saúl Calderón Ramírez
, Adán Mora-Fallas, Michael Granados-Menani, Jordina Torrents-Barrena:
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification. ICANN (3) 2019: 3-16 - [c6]Erick Alfaro, Ximena Bolaños Fonseca, Enrique M. Albornoz
, César Ernesto Martínez, Saúl Calderón Ramírez:
A Brief Analysis of U-Net and Mask R-CNN for Skin Lesion Segmentation. IWOBI 2019: 123-126 - 2018
- [c5]Saúl Calderón Ramírez
, Joel Barrantes, J. Schuster, Mauro Mendez
, Jakub Begera
:
Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy. ICBEA 2018: 1-6 - [c4]Saúl Calderón Ramírez
, Fabian Fallas-Moya
, Manuel Zumbado, Pascal N. Tyrrell
, Hershel Stark, Ziga Emersic, Blaz Meden, Martín Solís:
Assessing the Impact of the Deceived Non Local Means Filter as a Preprocessing Stage in a Convolutional Neural Network Based Approach for Age Estimation Using Digital Hand X-Ray Images. ICIP 2018: 1752-1756 - [c3]Saúl Calderón Ramírez
, Jorge Castro, Manuel Zurnbado:
DNLM-MA-P: A Parallelization of the Deceived Non Local Means Filter with Moving Average and Symmetric Weighting. IWOBI 2018: 1-7 - [c2]Angel García-Pedrero
, Ana Garcia-Cervigon, Cristina Caetano, Saúl Calderón Ramírez, Jose M. Olano, Consuelo Gonzalo-Martín
, Mario Lillo-Saavedra, Miguel Garcia-Hidalgo
:
Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look. IWOBI 2018: 1-9 - 2017
- [c1]Saúl Calderón Ramírez
, Manuel Zumbado Corrales:
DNLM-IIFFT: An Implementation of the Deceived Non Local Means Filter Using Integral Images and the Fast Fourier Transform for a Reduced Computational Cost. CIARP 2017: 127-134
Coauthor Index
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