Machine Learning Algorithms for Forecasting COVID 19 Confirmed Cases in America. - Mario Fernando Jojoa Acosta; Begoña García Zapirain (ISSPIT, 2020)

Deep Learning Applied to Forest Fire Detection. - Byron Arteaga; Mauricio Díaz; Mario Jojoa (ISSPIT, 2020)

Deep Learning for Heart Sounds Classification Using Scalograms and Automatic Segmentation of PCG Signals. - John Gelpud; Silvia Castillo; Mario Jojoa; Begonya Garcia-Zapirain; Wilson Achicanoy; David Rodrigo (IWANN (1), 2021)

Melanoma diagnosis using deep learning techniques on dermatoscopic images. - Mario Fernando Jojoa Acosta; Liesle Yail Caballero Tovar; Maria Begonya Garcia-Zapirain; Winston Spencer Percybrooks Bolivar (BMC Medical Imaging, 2021)

Diseño de algoritmos de aprendizaje profundo basados en números complejos para la identificación de patrones anómalos en bioseñales humanas - Mario Fernando Jojoa Acosta (2023)

Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings. - Georgina Curto; Mario Fernando Jojoa Acosta; Flavio Comim; Begoña García Zapirain (AI Soc., 2024)

Natural language processing analysis applied to COVID-19 open-text opinions using a distilBERT model for sentiment categorization. - Mario Jojoa; Parvin Eftekhar; Behdin Nowrouzi-Kia; Begonya Garcia-Zapirain (AI Soc., 2024)

Comparison of three classifiers in detection of obstruction of the lower urinary tract using recorded sounds of voiding. - Mario Fernando Jojoa Acosta; Alfonso Bahillo; Laura Arjona; Rubén M. Lorenzo; Elba Canelón (Comput. Biol. Medicine, 2025)