Erika Fille Legara
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    • Rethinking Assessments in the Age of Generative AI
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    • Typology, network features and damage response in worldwide urban road systems
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    • Inferring Passenger Types from Commuter Eigentravel Matrices
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    • 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
    • Tweeting Supertyphoon Haiyan: Evolving Functions of Twitter during and after a Disaster Event
    • How Voters Combine Candidates on the Ballot: The Case of the Philippine Senatorial Elections
    • A data-driven agent-based model of congestion and scaling dynamics of rapid Transit systems
    • An example journal article
    • 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
    • Competition in a Social Structure
    • Earning potential in multilevel marketing enterprises
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    • 8th Ayala Corporation-FINEX π‘­π’Šπ’π’‚π’π’„π’† π‘Ίπ’–π’Žπ’Žπ’Šπ’• and FINEX 9th GMM
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    • National Youth Congress
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    • National DOST Scholars' Summit 2019
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    • Masterclass: Data Science in Logistics & Supply Chain
    • Masterclass: Data Science in Finance & Marketing
    • Forum on Competition in Developing Countries
    • Technology and Inclusion in Asia
    • AACSB Asia Pacific Annual Conference
  • Teaching
    • Business Analytics
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    • Data Visualization and Storytelling
    • Network Science
    • Introduction to Data Science and Ethics

scikit-learn

Oct 26, 2023 Β· 1 min read
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on May 19, 2024
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E.F. Legara
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E.F. Legara
Chief AI and Data Officer

← PyTorch Oct 26, 2023

Β© 2025 Erika Fille Legara. This work is licensed under CC BY NC ND 4.0

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