A novel background subtraction method based on color invariants and grayscale levels. - Lorena Guachi; Giuseppe Cocorullo; Pasquale Corsonello; Fabio Frustaci; Stefania Perri (ICCST, 2014)

Automated Identification of Breast Cancer Using Digitized Mammogram Images. - Bryan Chachalo; Erik Solis; Eddy Andrade; Santiago Pozo; Robinson Guachi; Saravana Prakash Thirumuruganandham; Lorena Guachi-Guachi (CIARP, 2019)

Artificial Neural Networks in Mathematical Mini-Games for Automatic Students' Learning Styles Identification: A First Approach. - Richard Torres-Molina; Jorge Banda-Almeida; Lorena Guachi-Guachi (IDEAL (2), 2019)

Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine. - Richard Torres-Molina; Carlos Bustamante-Orellana; Andrés Riofrío-Valdivieso; Francisco Quinga-Socasi; Robinson Guachi; Lorena Guachi-Guachi (IDEAL (2), 2019)

Multimodal background subtraction for high-performance embedded systems. - Giuseppe Cocorullo; Pasquale Corsonello; Fabio Frustaci; Lorena-de-los-Angeles Guachi-Guachi; Stefania Perri (J. Real Time Image Process., 2019)

Comparative Study of Distance Measures for the Fuzzy C-means and K-means Non-Supervised Methods Applied to Image Segmentation. - Martín Vélez-Falconí; Josué Marín; Selena Jiménez; Lorena Guachi-Guachi (ICAI Workshops, 2020)

Convolutional Neural Networks for Automatic Classification of Diseased Leaves: The Impact of Dataset Size and Fine-Tuning. - Giovanny Caluña; Lorena Guachi-Guachi; Ramiro Brito (ICCSA (1), 2020)

Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study. - Robinson Paspuel; Marcelo Barba; Bryan Jami; Lorena Guachi-Guachi (IDEAL (2), 2020)

Finite element analysis in colorectal surgery: non-linear effects induced by material model and geometry. - Robinson Guachi; Fabiano Bini; Michele Bici; Francesca Campana; Franco Marinozzi; Lorena Guachi-Guachi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

The Impact of Histogram Equalization and Color Mapping on ResNet-34's Overall Performance for COVID-19 Detection. - Jonathan David Freire; Jordan Rodrigo Montenegro; Hector Andres Mejia; Franz Paul Guzman; Carlos Enrique Bustamante; Ronny Xavier Velastegui; Lorena-de-los-Angeles Guachi-Guachi (DSDE, 2021)

A Chatterbot Based on Genetic Algorithm: Preliminary Results. - Cristian Orellana; Martín Tobar; Jeremy Yazán; Diego Hernán Peluffo-Ordóñez; Lorena Guachi-Guachi (ICAI, 2021)

Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms. - Andres J. Anaya-Isaza; Leonel Mera-Jiménez; Johan Manuel Cabrera-Chavarro; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez; Jorge Iván Ríos Patiño (IEEE Access, 2021)

A Genetic Algorithm for Scheduling Laboratory Rooms: A Case Study. - Rafael Fuenmayor; Martín Larrea; Mario Moncayo; Esteban Moya; Sebastián Trujillo; Juan-Diego Terneus; Robinson Guachi; Diego Hernán Peluffo-Ordóñez; Lorena Guachi-Guachi (ICAI, 2022)

Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches. - Hind Raki; Juan González-Vergara; Yahya Aalaila; Mouad Elhamdi; Sami Bamansour; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (ICAI, 2022)

Instance Selection on CNNs for Alzheimer's Disease Classification from MRI. - Juan A. Castro-Silva; María N. Moreno García; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (ICPRAM, 2022)

Exploring the Potential of Genetic Algorithms for Optimizing Academic Schedules at the School of Mechatronic Engineering: Preliminary Results. - Johan Alarcón; Samantha Buitrón; Alexis Carrillo; Mateo Chuquimarca; Alexis Ortiz; Robinson Guachi; Diego Hernán Peluffo-Ordóñez; Lorena Guachi-Guachi (ICAI, 2023)

Interactive Information Visualization Models: A Systematic Literature Review. - MacArthur Ortega-Bustamante; Waldo Hasperué; Diego Hernán Peluffo-Ordóñez; Daisy Imbaquingo; Hind Raki; Yahya Aalaila; Mouad Elhamdi; Lorena Guachi-Guachi (ICCSA (1), 2023)

Convolutional neural networks applied to microtomy: Identifying the trimming-end cutting routine on paraffin-embedded tissue blocks. - Lorena Guachi-Guachi; Jacopo Ruspi; Paola Scarlino; Aliria Poliziani; Sabrina Ciancia; Dario Lunni; Gabriele Baldi; Andrea Cavazzana; Alessandra Zucca; Marco Bellini; Gian Andrea Pedrazzini; Gastone Ciuti; et al. (Eng. Appl. Artif. Intell., 2023)

A Portable Ultrasound Procedure to Enable Remote Management of Tennis Leg Injuries. - Lorena Guachi-Guachi; Angela Sorriento; Andrea Cafarelli; Francesco Rocco Restaino; Paolo Spinnato; Leonardo Ricotti (BioRob, 2024)

Instance Selection Framework for Alzheimer's Disease Classification Using Multiple Regions of Interest and Atlas Integration. - Juan A. Castro-Silva; María N. Moreno García; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (ICPRAM, 2024)

Kernelized Extension for Multiple-Expert-Learning Classifiers Using Support Vector Machines. - Mohammed Bajja; Yahya Aalaila; Ana Cristina Umaquinga-Criollo; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (SAI (4), 2024)

Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction. - Yahya Aalaila; Ismail Bachchar; Hind Raki; Sami Bamansour; Mouad Elhamdi; Kaoutar Benghzial; MacArthur Ortega-Bustamante; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (SN Comput. Sci., 2024)

Automated Strategy for Tissue Analysis in Anatomic Pathology: Fiducial Marker Integration and Multisurface Tissue Comparison. - Lorenzo Vannozzi; Lorena Guachi-Guachi; Jacopo Ruspi; Sabrina Ciancia; Gabriele Baldi; Dario Lunni; Paola Scarlino; Aliria Poliziani; Alessandra Zucca; Marco Bellini; Gian Andrea Pedrazzini; Andrea Cavazzana; et al. (IEEE Trans Autom. Sci. Eng., 2025)