Collaborative Institutional Efforts to Promote Hispanic Representation Across Computer Science. - Mariana Alvidrez; Jessica Rivera; Sanga Kim; Ann Q. Gates; Elsa Q. Villa; Christian Teran Lopez; Karina L. Enriquez (FIE, 2023)

A Machine Learning-Based Approach for Accurate Size Classification of Pineapple (Ananas Comosus). - Robert G. de Luna; Verna C. Magnaye; Rose Anne L. Reaño; Karina L. Enriquez; Rai Racel Armando; Mark Louie Bocalbos; Jamaica Fernandez; Krystel Anne Malacaman; Jesirie Natividad; Jan Jadrien Ramos; Shaina Marie Salcedo (TENCON, 2023)

A Machine Learning Approach for Efficient Spam Detection in Short Messaging System (SMS). - Robert G. de Luna; Verna C. Magnaye; Rose Anne L. Reaño; Karina L. Enriquez; Dexter Astorga; Trisha M. Celestial; Aira Mae T. Española; Brian Allen Q. Lanting; Danielle M. Mugar; Mateo G. Ramos; Jenjazel M. Redondo (TENCON, 2023)

Non-Invasive Transport Tier Classification of Banana 'Señorita' (Musa Acuminata) Using Machine Learning Techniques. - Robert G. de Luna; Verna C. Magnaye; Rose Anne L. Reaño; Karina L. Enriquez; Meghann Kim O. Dungca; Darlene Rocel C. Filler; Cailon Jullius V. Cabrera; Charlene M. Reyes; Seane Allen J. Saballa; Nicole Anne O. Maligalig (TENCON, 2023)

A Comparative Study of Machine Learning Techniques for Water Potability Classification. - Robert G. de Luna; Verna C. Magnaye; Rose Anne L. Reaño; Karina L. Enriquez; Joeben More R. Dalguntas; Adrien Joshua M. Lizardo; Earl Stephen A. Molino; Allen Andrew L. Pucyutan; Jayvee C. Solis; David Ysmael D. Umali (TENCON, 2023)

Enhancing Road Safety: A CNN-Based Approach to Road Damage Classification. - Robert G. de Luna; Mariano G. Abejo; Beatriz M. Aldave; Ruth Hannah P. Barrete; Jewel L. Lim; Hazel M. Mendoza; Myka Sydney Morcoso; Karina L. Enriquez (IST, 2024)