Publications

M. Liponhay, A. Valerio, Chris Monterola (2024). Time-delayed causal network analysis of meteorological variables and air pollutants in Baguio city. Atmospheric Pollution Research.

J. Noel, Chris Monterola, D.S. Tan (2024). Improving recommendation diversity without retraining from scratch. International Journal of Data Science and Analytics.

M. Dorosan, D. Dailisan, J.F. Valenzuela, Chris Monterola (2024). Use of machine learning in understanding transport dynamics of land use and public transportation in a developing city. Cities.

M. Liponhay, J.F. Valenzuela, M. Dorosan, D. Dailisan, Chris Monterola (2023). A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City. Appl. Sci..

M. Liponhay, A. Valerio, G. Fornan, C. Alis, Chris Monterola (2023). Dynamic Assessment of Urban Carrying Capacity Load Number Using the Enhanced UCCLN Model. Sustainability.

S. Ibañez, Chris Monterola (2023). A Global Forecasting Approach to Large-Scale Crop Production Prediction with Time Series Transformers. Agriculture.

P.J.E. Javier, M. Liponhay, C.V. Dajac, Chris Monterola (2022). Causal network inference in a dam system and its implications on feature selection for machine learning forecasting. Physica A.

D. Dailisan, M. Liponhay, C. Alis, Chris Monterola (2022). Amenity counts significantly improve water consumption predictions. PLOS.

J.F. Valenzuela, E.F. Legara, Chris Monterola (2022). Typology, network features and damage response in worldwide urban road systems. Plos One.

S. Ibañez, Chris Monterola, C.V. Dajac, M. Liponhay, E.F. Legara, J.M. Esteban (2022). Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines. Water.