Saúl Calderón Ramírez

42 papers B 4C 3Journal 20Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Spanish Dataset for Financial Education Text Simplification Targeting Visually Impaired Individuals. IEEE Access Nelson Perez-Rojas, Saúl Calderón Ramírez, Martín Solís, Mario Romero-Sandoval, Monica Arias-Monge, Horacio Saggion
2025	C	`conf`	Squeeze Every Bit of Insight: Leveraging Few-shot Models with a Compact Support Set for Domain Transfer in Object Detection from Pineapple Fields. CLEI Fabian Fallas-Moya, Danny Xie-Li, Saúl Calderón Ramírez
2024	—	`conf`	Enhancing Object Segmentation via Few-Shot Learning with Limited Annotated Data. SOCO (2) Iván García Aguilar, Syed Ali Haider Jafri, David A. Elizondo, Saúl Calderón Ramírez, Sarah Greenfield, Rafael M. Luque-Baena
2024	J	`jnl`	MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish. CoRR Stefan Bott, Horacio Saggion, Nelson Perez-Rojas, Martin Solis-Salazar, Saúl Calderón Ramírez
2024	—	`conf`	The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline. BEA 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
2024	—	`conf`	Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation. NAACL (Industry Track) Maria Mora-Cross, Saúl Calderón Ramírez
2023	J	`jnl`	A Novel Dataset for Financial Education Text Simplification in Spanish. CoRR Nelson Perez-Rojas, Saúl Calderón Ramírez, Martin Solis-Salazar, Mario Romero-Sandoval, Monica Arias-Monge, Horacio Saggion
2023	J	`jnl`	An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello
2023	J	`jnl`	Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 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
2023	C	`conf`	Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model. ICMLA Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi
2022	J	`jnl`	A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello
2022	J	`jnl`	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. Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
2022	—	`conf`	Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. IWBBIO (2) Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello
2022	J	`jnl`	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 Isaac Benavides-Mata, Saúl Calderón Ramírez
2022	J	`jnl`	Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. CoRR Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
2022	J	`jnl`	Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. IEEE Trans. Artif. Intell. Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
2021	J	`jnl`	A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. CoRR Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello
2021	J	`jnl`	Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
2021	J	`jnl`	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 Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
2021	—	`conf`	Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. IWANN (1) Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
2021	J	`jnl`	Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. CoRR Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Miguel A. Molina-Cabello
2021	J	`jnl`	Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 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
2021	B	`conf`	Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN 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
2021	J	`jnl`	Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 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
2021	J	`jnl`	More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data. CoRR Saúl Calderón Ramírez, Luis Oala
2020	B	`conf`	A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. IJCNN Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena
2020	J	`jnl`	Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images. Neural Comput. Appl. Angel García-Pedrero, Ana Garcia-Cervigon, Jose M. Olano, Miguel Garcia-Hidalgo, Mario Lillo-Saavedra, Consuelo Gonzalo-Martín, Cristina Caetano, Saúl Calderón Ramírez
2020	J	`jnl`	Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
2020	B	`conf`	Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
2020	—	`conf`	ML4H Auditing: From Paper to Practice. ML4H@NeurIPS 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
2020	J	`jnl`	MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello
2019	—	`conf`	A Brief Analysis of U-Net and Mask R-CNN for Skin Lesion Segmentation. IWOBI Erick Alfaro, Ximena Bolaños Fonseca, Enrique M. Albornoz, César Ernesto Martínez, Saúl Calderón Ramírez
2019	—	`conf`	A First Glance into Reversing Senescence on Herbarium Sample Images Through Conditional Generative Adversarial Networks. CARLA Juan Villacis-Llobet, Marco Lucio-Troya, Marvin Calvo-Navarro, Saúl Calderón Ramírez, Erick Mata-Montero
2019	—	`conf`	Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images. CARLA Iván Calvo, Saúl Calderón Ramírez, Jordina Torrents-Barrena, Erick Muñoz, Domenec Puig
2019	—	`conf`	Insight GT: A Public, Fast, Web Image Ground Truth Authoring Tool. CARLA Joel Barrantes-Garro, Hellen Rodríguez-Morales, Adrián Garnier-Artiñano, Saúl Calderón Ramírez, Fabian Porras-Jiménez, Luís Carlos Corrales-Arley, Ricardo Brenes-Camacho
2019	—	`conf`	Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification. ICANN (3) Jose Carranza-Rojas, Saúl Calderón Ramírez, Adán Mora-Fallas, Michael Granados-Menani, Jordina Torrents-Barrena
2019	—	`conf`	Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance. CARLA Mauro Mendez, Saúl Calderón Ramírez, Pascal N. Tyrrell
2018	B	`conf`	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 Saúl Calderón Ramírez, Fabian Fallas-Moya, Manuel Zumbado, Pascal N. Tyrrell, Hershel Stark, Ziga Emersic, Blaz Meden, Martín Solís
2018	—	`conf`	Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy. ICBEA Saúl Calderón Ramírez, Joel Barrantes, J. Schuster, Mauro Mendez, Jakub Begera
2018	—	`conf`	DNLM-MA-P: A Parallelization of the Deceived Non Local Means Filter with Moving Average and Symmetric Weighting. IWOBI Saúl Calderón Ramírez, Jorge Castro, Manuel Zurnbado
2018	—	`conf`	Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look. IWOBI Angel García-Pedrero, Ana Garcia-Cervigon, Cristina Caetano, Saúl Calderón Ramírez, Jose M. Olano, Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Miguel Garcia-Hidalgo
2017	C	`conf`	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 Saúl Calderón Ramírez, Manuel Zumbado Corrales