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ORCIDSaúl Calderón Ramírez
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Journal Articles
- 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) - 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) - 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 D. 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) - 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)
Conference and Workshop Papers
- 2024
- [c20]Matthew Shardlow, Fernando Alva-Manchego, Riza Batista-Navarro, Stefan Bott, Saúl Calderón Ramírez, Rémi Cardon, Thomas François, Akio Hayakawa, Andrea Horbach, Anna Hülsing, Yusuke Ide, Joseph Marvin Imperial, Adam Nohejl, Kai North, Laura Occhipinti, Nelson Perez-Rojas, Nishat Raihan, Tharindu Ranasinghe, Martin Solis-Salazar, Sanja Stajner, Marcos Zampieri, Horacio Saggion:
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline. BEA 2024: 571-589 - [c19]Maria Mora-Cross, Saúl Calderón Ramírez:
Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation. NAACL (Industry Track) 2024: 368-378 - 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 - 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 - 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 - 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 - 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
Informal and Other Publications
- 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
- [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
- [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
- [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
- [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)
Coauthor Index
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