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Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds

Hydrology and earth system sciences, 2016-07, Vol.20 (7), p.2611-2628

2016

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Parks and safety: a comparative study of green space access and inequity in five US cities

Landscape and urban planning, 2020-09, Vol.201, p.103841, Article 103841

2020

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Data‐driven predictive modeling in risk assessment: Challenges and directions for proper uncertainty representation

Risk analysis, 2023-12, Vol.43 (12), p.2644-2658

2023

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Statistical Analysis of the Effectiveness of Seawalls and Coastal Forests in Mitigating Tsunami Impacts in Iwate and Miyagi Prefectures

PloS one, 2016-08, Vol.11 (8), p.e0158375-e0158375

2016

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Multidecadal increase in North Atlantic coccolithophores and the potential role of rising CO2

Science (American Association for the Advancement of Science), 2015-12, Vol.350 (6267), p.1533-1537

2015

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Protective impacts of household-based tuberculosis contact tracing are robust across endemic incidence levels and community contact patterns

PLoS computational biology, 2021-02, Vol.17 (2), p.e1008713-e1008713

2021

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Let the farmer decide: examining smallholder autonomy in large-scale land acquisitions with an agent-based model

Environmental research letters, 2021-10, Vol.16 (10), p.105011

2021

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Simulation of tropical cyclone impacts to the U.S. power system under climate change scenarios

Climatic change, 2014-12, Vol.127 (3-4), p.535-546

2014

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Evolution of vulnerability of communities facing repeated hazards

PloS one, 2017-09, Vol.12 (9), p.e0182719-e0182719

2017

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Land-use changes associated with large-scale land transactions in Ethiopia

Ecology and society, 2021-12, Vol.26 (4), p.34, Article art34

2021

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Reframing Resilience: Equitable Access to Essential Services

Risk analysis, 2020-08, Vol.40 (8), p.1538-1553

2020

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Predicting Thunderstorm-Induced Power Outages to Support Utility Restoration

IEEE transactions on power systems, 2019-11, Vol.34 (6), p.4370-4381

2019

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Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages

IEEE access, 2018, Vol.6, p.62432-62449

2018

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An Agent‐Based Model of Evolving Community Flood Risk

Risk analysis, 2018-06, Vol.38 (6), p.1258-1278

2018

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Uncertainty in model predictions of Vibrio vulnificus response to climate variability and change: a Chesapeake Bay case study

PloS one, 2014-05, Vol.9 (5), p.e98256

2014

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Power outage prediction using data streams: An adaptive ensemble learning approach with a feature‐ and performance‐based weighting mechanism

Risk analysis, 2024-03, Vol.44 (3), p.686-704

2024

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Improving Hurricane Power Outage Prediction Models Through the Inclusion of Local Environmental Factors

Risk analysis, 2018-12, Vol.38 (12), p.2722-2737

2018

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Bayesian Belief Networks for predicting drinking water distribution system pipe breaks

Reliability engineering & system safety, 2014-10, Vol.130, p.1-11

2014

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Comparison and Validation of Statistical Methods for Predicting Power Outage Durations in the Event of Hurricanes

Risk analysis, 2011-12, Vol.31 (12), p.1897-1906

2011

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Agent‐Based Models as an Integrating Boundary Object for Interdisciplinary Research

Risk analysis, 2021-07, Vol.41 (7), p.1087-1092

2021

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Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory

Reliability engineering & system safety, 2009-04, Vol.94 (4), p.855-860

Guikema, Seth D.

2009

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Feasibility study of PRA for critical infrastructure risk analysis

Reliability engineering & system safety, 2021-08, Vol.212, p.107643, Article 107643

2021

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Individual learning as a driver of changes in community vulnerability under repeated hurricanes and changing climate

Risk analysis, 2023-04, Vol.43 (4), p.762-782

2023

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Post-earthquake restoration planning for Los Angeles electric power

Earthquake spectra, 2006-08, Vol.22 (3), p.589-608

2006

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Forecasting hurricane-induced power outage durations

Natural hazards (Dordrecht), 2014-12, Vol.74 (3), p.1795-1811

2014

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Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds

Parks and safety: a comparative study of green space access and inequity in five US cities

Data‐driven predictive modeling in risk assessment: Challenges and directions for proper uncertainty representation

Statistical Analysis of the Effectiveness of Seawalls and Coastal Forests in Mitigating Tsunami Impacts in Iwate and Miyagi Prefectures

Multidecadal increase in North Atlantic coccolithophores and the potential role of rising CO2

Protective impacts of household-based tuberculosis contact tracing are robust across endemic incidence levels and community contact patterns

Let the farmer decide: examining smallholder autonomy in large-scale land acquisitions with an agent-based model

Simulation of tropical cyclone impacts to the U.S. power system under climate change scenarios

Evolution of vulnerability of communities facing repeated hazards

Land-use changes associated with large-scale land transactions in Ethiopia

Reframing Resilience: Equitable Access to Essential Services

Predicting Thunderstorm-Induced Power Outages to Support Utility Restoration

Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages

An Agent‐Based Model of Evolving Community Flood Risk

Uncertainty in model predictions of Vibrio vulnificus response to climate variability and change: a Chesapeake Bay case study

Power outage prediction using data streams: An adaptive ensemble learning approach with a feature‐ and performance‐based weighting mechanism

Improving Hurricane Power Outage Prediction Models Through the Inclusion of Local Environmental Factors

Bayesian Belief Networks for predicting drinking water distribution system pipe breaks

Comparison and Validation of Statistical Methods for Predicting Power Outage Durations in the Event of Hurricanes

Agent‐Based Models as an Integrating Boundary Object for Interdisciplinary Research

Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory

Feasibility study of PRA for critical infrastructure risk analysis

Individual learning as a driver of changes in community vulnerability under repeated hurricanes and changing climate

Post-earthquake restoration planning for Los Angeles electric power

Forecasting hurricane-induced power outage durations

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