Publications

2026

• Small LLMs can be good coldstart recommenders Journal

  Noel, J., Monterola, C., Tan, D.S.

  Frontiers in Artificial Intelligence, vol. 9, 2026.

2025

• Improving recommendation diversity without retraining from scratch Journal

  Noel, J., Monterola, C., Tan, D.S.

  Int J Data Sci Anal, vol. 20, pp. 1151-1160, 2025.

• Foundations of PEERS: Assessing LLM role performance in educational simulations Top AI Conference

  Arana, J.M., et. al

  Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics

• Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation Top AI Conference

  Carandang, K.A.M., et. al

  Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics

2024

• Time-delayed causal network analysis of meteorological variables and air pollutants in Baguio city Journal

  Liponhay, M., Valerio, A., Monterola, C.

  Atmospheric Pollution Research, vol. 15, no. 6, 2024.

• Dynamic Assessment of Urban Carrying Capacity Load Number Using the Enhanced UCCLN Model Journal

  Liponhay, M., Valerio, A., Fornan, G., Alis, C., Monterola, C.

  Sustainability, vol. 16, no. 1, 2024.

• Use of ML in understanding transport dynamics of land use and public transportation Journal

  Dorosan, M., Dailisan, D., Valenzuela, J.F., Monterola, C.

  Cities, vol. 144, 2024.

2023

• A dynamic urban mobility index from clustering of vehicle speeds in a tourist-heavy city

  Liponhay, M., Valenzuela, J.F., Dorosan, M., Dailisan, D., Monterola, C.

  Applied Sciences, vol. 13, no. 23, 2023.

• A global forecasting approach to large-scale crop production prediction with time series transformers

  Ibañez, S., Monterola, C.

  Agriculture, vol. 13, no. 9, 2023.

2022

• Causal network inference in a dam system and its implications on feature selection for machine learning forecasting speeds in a tourist-heavy city

  Javier, P.J.E., Liponhay, M., Dajac, C.V., Monterola, C.

  Physica A: Statistical Mechanics and its Applications, vol. 604, 2022.

• Quantifying the resilience of rapid transit systems: A composite index using a demand-weighted complex network model

  Tan, H.E., Oon, H.E., Othman, N.B., Legara, E.F., Monterola, C.

  PLoS one, vol. 17, no. 4, 2022.

• Amenity counts significantly improve water consumption predictions

  Dailisan, D., Liponhay, M., Alis, C., Monterola, C.

  PLoS one, vol. 17, no. 3, 2022.

Selected Publications (2021 and earlier)

• Forecasting reservoir water levels using deep neural networks

  Ibañez, S., Dajac, C.V., Liponhay, M., Legara, E.F., Esteban, J.M., Monterola, C.

  Water, vol. 14, no. 1, 2021

• Solving the nonlinear Schrodinger equation with an unsupervised neural network

  Monterola, C., Saloma, C.

  Optics Express, vol. 9, no. 2, 2001.

• Experimental characterization of a non-Markovian quantum process

  Goswami, K., Giarmartzi, C., Monterola, C., et al.

  Physical Review A, vol. 104, no. 2, 2021.