Javier González-Villa

Ph.D. Professor (Associate)

Universidad de Cantabria

Spain

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Dr. Javier González-Villa is an Associate Professor at Universidad de Cantabria, Spain. His research focuses on the application of machine learning and logistic regression in emergency response scenarios, particularly regarding evacuation decisions and safety assessments in complex environments. Recent publications include studies on random number generators, evacuation management systems, and wildlife population estimation using advanced analytical techniques.

Articles (13)

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (2)

Angel Valle

SPAIN

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Marcos Cruz

Profesor Titular de Universidad (Associate Professor)

Universidad de Cantabria

SPAIN

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Javier González-Villa

Research Interests

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Articles (13)

Assessing the quality of random number generators through neural networks

Logistic regression vs machine learning to predict evacuation decisions in fire alarm situations

Uncovering non-emergency-related factors in threat responses: Logistic regression analysis of online experimental data for behaviour patterns

Decision-support system for safety and security assessment and management in smart cities

Evacuation of Vessels in Dockyards: A Model Validation Study

Roxborough Park Community Wildfire Evacuation Drill: Data Collection and Model Benchmarking

Online experiments and regression analysis of evacuation decisions in response to fire alarms

Evacuation Management System for Major Disasters

Multi-image flock size estimation with CountEm: A case study with half a million Common Eiders and Greater Snow Geese

Unbiased Population Size Estimation on Still Gigapixel Images

Eastern Canada Flocks: images and manually annotated bird positions

Testing a real-time intelligent evacuation guiding system for complex buildings

The CountEm software: simple, efficient and unbiased population size estimation

Collaborators (2)

Angel Valle

Marcos Cruz

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