Detecting Communities in Biological Bipartite Networks. - Paola Pesantez-Cabrera; Ananth Kalyanaraman (BCB, 2016)

Efficient Detection of Communities in Biological Bipartite Networks. - Paola Pesantez-Cabrera; Ananth Kalyanaraman (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Towards a Methodology for creating Internet of Things (IoT) Applications based on Microservices. - Edwin Cabrera; Paola Cárdenas; Priscila Cedillo; Paola Pesántez-Cabrera (SCC, 2020)

Towards an evaluation method of how accessible serious games are to older adults. - Paola Pesántez-Cabrera; María Inés Acosta; Verónica Jimbo; Pablo Sinchi; Priscila Cedillo (SeGAH, 2020)

Coordinating learning analytics policymaking and implementation at scale. - Tom Broos; Isabel Hilliger; Mar Pérez-Sanagustín; Nyi Nyi Htun; Martijn Millecamp; Paola Pesantez-Cabrera; Lizandro D. Solano-Quinde; Lorena Siguenza-Guzman; Miguel Zúñiga-Prieto; Katrien Verbert; Tinne De Laet (Br. J. Educ. Technol., 2020)

Towards learning analytics adoption: A mixed methods study of data-related practices and policies in Latin American universities. - Isabel Hilliger; Margarita Ortiz-Rojas; Paola Pesantez-Cabrera; Eliana Scheihing; Yi-Shan Tsai; Pedro J. Muñoz-Merino; Tom Broos; Alexander Whitelock-Wainwright; Dragan Gasevic; Mar Pérez-Sanagustín (Br. J. Educ. Technol., 2020)

Identifying needs for learning analytics adoption in Latin American universities: A mixed-methods approach. - Isabel Hilliger; Margarita Ortiz-Rojas; Paola Pesántez-Cabrera; Eliana Scheihing; Yi-Shan Tsai; Pedro J. Muñoz-Merino; Tom Broos; Alexander Whitelock-Wainwright; Mar Pérez-Sanagustín (Internet High. Educ., 2020)

A scoping review on the use, processing and fusion of geographic data in virtual assistants. - Carlos Granell; Paola Pesantez-Cabrera; Luis Manuel Vilches Blázquez; Rosario Achig; Miguel R. Luaces; Alejandro Cortiñas-Álvarez; Carolina Chayle; Villie Morocho (Trans. GIS, 2021)

Grape Cold Hardiness Prediction via Multi-Task Learning. - Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Kin-Ho Lam; Markus Keller; Alan Fern (AAAI, 2023)

Multi-Task Learning for Budbreak Prediction. - Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Markus Keller; Alan Fern (CoRR, 2023)

AgAID Institute - AI for agricultural labor and decision support. - Alan Fern; Margaret Burnett; Joseph R. Davidson; Janardhan Rao Doppa; Paola Pesántez-Cabrera; Ananth Kalyanaraman (AI Mag., 2024)

Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction. - Kristen Goebel; Paola Pesantez-Cabrera; Markus Keller; Alan Fern (CoRR, 2025)

Budgeted Online Active Learning with Expert Advice and Episodic Priors. - Kristen Goebel; William Solow; Paola Pesantez-Cabrera; Markus Keller; Alan Fern (CoRR, 2025)