Francisco Camara Pereira

Technical University of Denmark

Denmark

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Articles (20)

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2025

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2022

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2022

Collaborators (11)

Atefeh Hemmati Golsefidi

Technical University of Denmark

DENMARK

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Frederik Boe Hüttel

Technical University of Denmark

DENMARK

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TATJANA BOLIC

University of Westminster

UNITED KINGDOM

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Sander van Cranenburgh

Delft University of Technology

NETHERLANDS

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Mette Møller

Technical University of Denmark

DENMARK

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Rico Krueger

Associate Professor at Technical University of Denmark

Technical University of Denmark

DENMARK

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João de Abreu e Silva

Universidade de Aveiro

PORTUGAL

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Filipe Rodrigues

Technical University of Denmark

DENMARK

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Carlos Lima Azevedo

Technical University of Denmark

DENMARK

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Bernardete Ribeiro

Full Professor

University of Coimbra

PORTUGAL

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Per Bækgaard

Technical University of Denmark

DENMARK

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Francisco Camara Pereira

Research Interests

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Articles (20)

Analyzing the behaviors of pedestrians and cyclists in interactions with autonomous systems using controlled experiments

Best Of Both Worlds

Incremental expansion of large scale fixed and mobile charging infrastructure in stochastic environments

Explainable active learning metamodeling for simulations: Method and experiments for ATM performance assessment

Determining causality in travel mode choice

Do Open-ended Questions Influence the Measurement of Attitudes?

Predicting injury-severity for cyclist crashes using natural language processing and neural network modelling

“Is Not the Truth the Truth?”: Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys

Mind the gap: Modelling difference between censored and uncensored electric vehicle charging demand

Unboxing the graph

Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performance

A joint machine learning and optimization approach for incremental expansion of electric vehicle charging infrastructure

Attitudes and Latent Class Choice Models using Machine Learning

Active learning metamodelling for survival rate analysis of simulated emergency medical systems

Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks

Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models

A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability

Choice modelling in the age of machine learning - Discussion paper

Open vs closed-ended questions in attitudinal surveys – Comparing, combining, and interpreting using natural language processing

Population synthesis for urban resident modeling using deep generative models

Collaborators (11)

Atefeh Hemmati Golsefidi

Frederik Boe Hüttel

TATJANA BOLIC

Sander van Cranenburgh

Mette Møller

Rico Krueger

João de Abreu e Silva

Filipe Rodrigues

Carlos Lima Azevedo

Bernardete Ribeiro

Per Bækgaard

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