Francisco Câmara Pereira

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Electric Vehicle Charging

Language Processing

Active Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

Int. J. Nat. Comput. Res.

Publications

Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. ECC (2024)
Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco Câmara Pereira
Bayesian Active Learning for Censored Regression. CoRR (2024)
Valentino Servizi, Dan Roland Persson, Francisco Câmara Pereira, Hannah Villadsen, Per Bækgaard, Inon Peled, Otto Anker Nielsen
"Is Not the Truth the Truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
- Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand. CoRR (2023)
Christoffer Riis, Francisco N. Antunes, Tatjana Bolic, Gérald Gurtner, Andrew Cook, Carlos Lima Azevedo, Francisco Câmara Pereira
Applied metamodelling for ATM performance simulations. CoRR (2023)
Lorena Torres Lahoz, Francisco Câmara Pereira, Georges Sfeir, Ioanna Arkoudi, Mayara Moraes Monteiro, Carlos Lima Azevedo
Attitudes and Latent Class Choice Models using Machine learning. CoRR (2023)
Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
Deep Evidential Learning for Bayesian Quantile Regression. CoRR (2023)
Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. CoRR (2023)
Ioanna Arkoudi, Atefeh Hemmati Golsefidi, Lorena Torres Lahoz, Francisco Câmara Pereira
Predicting Trip Activities and Modes Using Long Short-Term Memory Models and Geospatial Representations. ITSC (2023)
Filipe Rodrigues, Nicola Ortelli, Michel Bierlaire, Francisco Câmara Pereira
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Christoffer Riis, Francisco N. Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira
Bayesian Active Learning with Fully Bayesian Gaussian Processes. CoRR (2022)
Mingzhuang Hua, Francisco Câmara Pereira, Yu Jiang, Xuewu Chen
Transfer learning for cross-modal demand prediction of bike-share and public transit. CoRR (2022)
Vishnu Baburajan, João de Abreu e Silva, Francisco Câmara Pereira
Open vs Closed-ended questions in attitudinal surveys - comparing, combining, and interpreting using natural language processing. CoRR (2022)
Daniele Gammelli, Yihua Wang, Dennis Prak, Filipe Rodrigues, Stefan Minner, Francisco Câmara Pereira
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management. CoRR (2021)
Vishnu Baburajan, Joao De Abreu e Silva, Francisco Câmara Pereira
Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis. IEEE Trans. Intell. Transp. Syst. 22 (4) (2021)
Yafei Han, Pericles Christopher Zegras, Francisco Câmara Pereira, Moshe E. Ben-Akiva
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability. CoRR (2020)
Georges Sfeir, Maya Abou-Zeid, Filipe Rodrigues, Francisco Câmara Pereira, Isam Kaysi
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach. CoRR (2020)
Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network. CoRR (2019)
Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira
Multi-output bus travel time prediction with convolutional LSTM neural network. Expert Syst. Appl. 120 (2019)
Vishnu Baburajan, Joao De Abreu e Silva, Francisco Câmara Pereira
Opening Up the Conversation: Topic Modeling for Automated Text Analysis in Travel Surveys. ITSC (2018)
Haizheng Zhang, Ravi Seshadri, A. Arun Prakash, Constantinos Antoniou, Francisco Câmara Pereira, Moshe E. Ben-Akiva
Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems. ITSC (2018)
Bin Guo, Zhiwen Yu, Francisco Câmara Pereira
An introduction to the special issue on cross-community mining. Pers. Ubiquitous Comput. 18 (2) (2014)
António Leitão, Adriano Vinhas, Penousal Machado, Francisco Câmara Pereira
A Genetic Algorithms Approach for Inverse Shortest Path Length Problems. Int. J. Nat. Comput. Res. 4 (4) (2014)
Oliver Amft, Richard Medland, Marcus Foth, Petromil Petkov, Joana Abreu, Francisco Câmara Pereira, Philip M. Johnson, Robert S. Brewer, James Pierce, Eric Paulos
Smart Energy Systems. IEEE Pervasive Comput. 10 (1) (2011)