Francisco Câmara Pereira

36 papers Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Metalearning traffic assignment for network disruptions with graph convolutional neural networks. CoRR Serio Agriesti, Guido Cantelmo, Francisco Câmara Pereira
2026	J	`jnl`	Scalable Passenger Detection Using Smartphone-Bus Implicit Interactions. IEEE Intell. Transp. Syst. Mag. Valentino Servizi, Dan Roland Persson, Francisco Câmara Pereira, Hannah Villadsen, Per Bækgaard, Jeppe Rich, Otto Anker Nielsen
2026	J	`jnl`	SemaPop: Semantic-Persona Conditioned Population Synthesis. CoRR Zhenlin Qin, Yancheng Ling, Leizhen Wang, Francisco Câmara Pereira, Zhenliang Ma
2026	J	`jnl`	Using mobile charging stations as probes to discover latent EV charging demand in stochastic environments: A deep reinforcement learning approach. Expert Syst. Appl. Atefeh Hemmati Golsefidi, Frederik Boe Hüttel, Samitha Samaranayake, Francisco Câmara Pereira
2025	J	`jnl`	A Foundational individual Mobility Prediction Model based on Open-Source Large Language Models. CoRR Zhenlin Qin, Leizhen Wang, Francisco Câmara Pereira, Zhenlinag Ma
2025	J	`jnl`	Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM. CoRR Oskar Bohn Lassen, Serio Agriesti, Filipe Rodrigues, Francisco Câmara Pereira
2025	J	`jnl`	Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives. CoRR Xixi Wang, Jordanka Kovaceva, Miguel Costa, Shuai Wang, Francisco Câmara Pereira, Robert Thomson
2025	—	`conf`	Learning Traffic Flows: Graph Neural Networks for Metamodelling Traffic Assignment. MT-ITS Oskar Bohn Lassen, Serio Agriesti, Mohamed Eldafrawi, Daniele Gammelli, Guido Cantelmo, Guido Gentile, Francisco Câmara Pereira
2025	J	`jnl`	Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques. CoRR Amalie Roark, Serio Agriesti, Francisco Câmara Pereira, Guido Cantelmo
2025	J	`jnl`	Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment. CoRR Oskar Bohn Lassen, Serio Agriesti, Mohamed Eldafrawi, Daniele Gammelli, Guido Cantelmo, Guido Gentile, Francisco Câmara Pereira
2025	J	`jnl`	Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress. CoRR Lorena Torres Lahoz, Carlos Lima Azevedo, Leonardo Ancora, Paulo Morgado, Zenia Kotval, Bruno Miranda, Francisco Câmara Pereira
2025	J	`jnl`	Transfer learning for cross-modal demand prediction of bike-share and public transit. J. Intell. Transp. Syst. Mingzhuang Hua, Francisco Câmara Pereira, Yu Jiang, Xuewu Chen, Junyi Chen
2024	J	`jnl`	Bayesian Active Learning for Censored Regression. CoRR Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco Câmara Pereira
2024	—	`conf`	Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. ECC Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues
2023	J	`jnl`	"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. Valentino Servizi, Dan Roland Persson, Francisco Câmara Pereira, Hannah Villadsen, Per Bækgaard, Inon Peled, Otto Anker Nielsen
2023	J	`jnl`	Applied metamodelling for ATM performance simulations. CoRR Christoffer Riis, Francisco N. Antunes, Tatjana Bolic, Gérald Gurtner, Andrew Cook, Carlos Lima Azevedo, Francisco Câmara Pereira
2023	J	`jnl`	Attitudes and Latent Class Choice Models using Machine learning. CoRR Lorena Torres Lahoz, Francisco Câmara Pereira, Georges Sfeir, Ioanna Arkoudi, Mayara Moraes Monteiro, Carlos Lima Azevedo
2023	J	`jnl`	Deep Evidential Learning for Bayesian Quantile Regression. CoRR Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
2023	J	`jnl`	Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. CoRR Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues
2023	J	`jnl`	Mind the Gap - Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand. CoRR Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
2023	—	`conf`	Predicting Trip Activities and Modes Using Long Short-Term Memory Models and Geospatial Representations. ITSC Ioanna Arkoudi, Atefeh Hemmati Golsefidi, Lorena Torres Lahoz, Francisco Câmara Pereira
2022	J	`jnl`	Bayesian Active Learning with Fully Bayesian Gaussian Processes. CoRR Christoffer Riis, Francisco N. Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira
2022	J	`jnl`	Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. IEEE Trans. Intell. Transp. Syst. Filipe Rodrigues, Nicola Ortelli, Michel Bierlaire, Francisco Câmara Pereira
2022	J	`jnl`	Open vs Closed-ended questions in attitudinal surveys - comparing, combining, and interpreting using natural language processing. CoRR Vishnu Baburajan, João de Abreu e Silva, Francisco Câmara Pereira
2022	J	`jnl`	Transfer learning for cross-modal demand prediction of bike-share and public transit. CoRR Mingzhuang Hua, Francisco Câmara Pereira, Yu Jiang, Xuewu Chen
2021	J	`jnl`	Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis. IEEE Trans. Intell. Transp. Syst. Vishnu Baburajan, João de Abreu e Silva, Francisco Câmara Pereira
2021	J	`jnl`	Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management. CoRR Daniele Gammelli, Yihua Wang, Dennis Prak, Filipe Rodrigues, Stefan Minner, Francisco Câmara Pereira
2020	J	`jnl`	A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability. CoRR Yafei Han, Pericles Christopher Zegras, Francisco Câmara Pereira, Moshe E. Ben-Akiva
2020	J	`jnl`	Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach. CoRR Georges Sfeir, Maya Abou-Zeid, Filipe Rodrigues, Francisco Câmara Pereira, Isam Kaysi
2019	J	`jnl`	Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network. CoRR Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira
2019	J	`jnl`	Multi-output bus travel time prediction with convolutional LSTM neural network. Expert Syst. Appl. Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira
2018	—	`conf`	Opening Up the Conversation: Topic Modeling for Automated Text Analysis in Travel Surveys. ITSC Vishnu Baburajan, João de Abreu e Silva, Francisco Câmara Pereira
2018	—	`conf`	Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems. ITSC Haizheng Zhang, Ravi Seshadri, A. Arun Prakash, Constantinos Antoniou, Francisco Câmara Pereira, Moshe E. Ben-Akiva
2014	J	`jnl`	A Genetic Algorithms Approach for Inverse Shortest Path Length Problems. Int. J. Nat. Comput. Res. António Leitão, Adriano Vinhas, Penousal Machado, Francisco Câmara Pereira
2014	J	`jnl`	An introduction to the special issue on cross-community mining. Pers. Ubiquitous Comput. Bin Guo, Zhiwen Yu, Francisco Câmara Pereira
2011	J	`jnl`	Smart Energy Systems. IEEE Pervasive Comput. Oliver Amft, Richard Medland, Marcus Foth, Petromil Petkov, Joana M. Abreu, Francisco Câmara Pereira, Philip M. Johnson, Robert S. Brewer, James Pierce, Eric Paulos