Chris Monterola
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    • Time-delayed causal network analysis of meteorological variables and air pollutants in Baguio city
    • Improving recommendation diversity without retraining from scratch
    • Use of machine learning in understanding transport dynamics of land use and public transportation in a developing city
    • A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City
    • Dynamic Assessment of Urban Carrying Capacity Load Number Using the Enhanced UCCLN Model
    • A Global Forecasting Approach to Large-Scale Crop Production Prediction with Time Series Transformers
    • Causal network inference in a dam system and its implications on feature selection for machine learning forecasting
    • Amenity counts significantly improve water consumption predictions
    • Typology, network features and damage response in worldwide urban road systems
    • Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines
    • Generalized radiation model for human migration
    • Experimental characterization of a non-Markovian quantum process
    • Phase Transition in Taxi Dynamics and Impact of Ridesharing
    • Formulation of a Resilience Index for Metropolitan Rapid Transit Networks
    • Characterisation and comparison of spatial patterns in urban systems: A case study of U.S. cities
    • Inferring Passenger Types from Commuter Eigentravel Matrices
    • Impacts of land use and amenities on public transport use, urban planning and design
    • Generalized Cross Entropy Method for estimating joint distribution from incomplete information
    • Non-invasive Procedure to Probe the Route Choices of Commuters in Rail Transit Systems
    • A data-driven agent-based model of congestion and scaling dynamics of rapid Transit systems
    • A Dynamical Model of Twitter Activity Profiles
    • Mechanism-based model of a mass rapid transit system: A perspective
    • Criticality of forcing directions on the fragmentation and resilience of grid networks
    • Critical capacity, travel time delays and travel time distribution of rapid mass transit systems
    • On centripetal flows of entities in scale‐free networks with nodes of finite capability
    • Simulating Congestion Dynamics of Train Rapid Transit Using Smart Card Data
    • A network perspective on the calamity, induced inaccessibility of communities and the robustness of centralized, landbound relief efforts
    • News Frames of the Population Issue in the Philippines
    • Complex network tools in building expert systems that perform framing analysis
    • Finding Frames: Comparing Two Methods of Frame Analysis
    • Power-law Mapping in Human Area Perception
    • Ranking of predictor variables based on effect size criterion provides an accurate means of automatically classifying opinion column articles
    • Visual and Auditory Cues Significantly Reduce Human's Intrinsic Biases when Tasked to Generate a Random Number Sequence
    • News Framing of Population and Family Planning Issues via Syntactic Network Analysis
    • Earning potential in multilevel marketing enterprises
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PyTorch

Oct 26, 2023 · 1 min read
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PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

Last updated on Apr 17, 2025
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Chris Monterola
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Chris Monterola
Professor of Data Science & AI
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