Filipe Rodrigues

88 papers A* 6B 2C 1Misc 1Journal 65Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Large-Scale Analysis on the Use of Arrival Time Prediction for Automated Shuttle Services in the Real World. IEEE Trans. Intell. Transp. Syst. Carolin Schmidt, Mathias Niemann Tygesen, Filipe Rodrigues
2026	C	`conf`	Beyond the Vehicle Routing Problem: Design of Temporal Networks for Demand-Responsive Transport. ICORES Xiaoyi Wu, Ravi Seshadri, Filipe Rodrigues, Carlos Lima Azevedo, Andrea Araldo
2026	J	`jnl`	Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems. CoRR Emil Kragh Toft, Carolin Schmidt, Daniele Gammelli, Filipe Rodrigues
2026	J	`jnl`	Introduction to the thematic issue on urban computing and mobility pattern analysis. J. Ambient Intell. Smart Environ. Ana Alves, Filipe Rodrigues, Merkebe Getachew Demissie
2026	J	`jnl`	Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions. Comput. Ind. Eng. Dang Viet Anh Nguyen, J. Victor Flensburg, Fabrizio Cerreto, Bianca Pascariu, Paola Pellegrini, Carlos Lima Azevedo, Filipe Rodrigues
2026	J	`jnl`	Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. IEEE Trans. Robotics Xinling Li, Meshal Alharbi, Daniele Gammelli, James Harrison, Filipe Rodrigues, Maximilian Schiffer, Marco Pavone, Emilio Frazzoli, Jinhua Zhao, Gioele Zardini
2026	J	`jnl`	Spatio-temporal graph neural network for urban spaces: Interpolating citywide traffic volume. Expert Syst. Appl. Silke K. Kaiser, Filipe Rodrigues, Carlos Lima Azevedo, Lynn H. Kaack
2025	J	`jnl`	A Bayesian latent class reinforcement learning framework to capture adaptive, feedback-driven travel behaviour. CoRR Georges Sfeir, Stephane Hess, Thomas O. Hancock, Filipe Rodrigues, Jamal Amani Rad, Michiel C. J. Bliemer, Matthew Beck, Fayyaz Khan
2025	—	`conf`	Bayesian Active Learning for Censored Regression. ECML/PKDD (2) Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco C. Pereira
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`	Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes. CoRR Xiaoyi Wu, Ravi Seshadri, Filipe Rodrigues, Carlos Lima Azevedo
2025	A*	`conf`	Diffusion-aware Censored Gaussian Processes for Demand Modelling. IJCAI Filipe Rodrigues
2025	J	`jnl`	Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand. IEEE Trans. Intell. Transp. Syst. Xinling Li, Carolin Schmidt, Daniele Gammelli, Filipe Rodrigues
2025	A*	`conf`	Offline Hierarchical Reinforcement Learning via Inverse Optimization. ICLR Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues
2025	J	`jnl`	Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. CoRR Xinling Li, Meshal Alharbi, Daniele Gammelli, James Harrison, Filipe Rodrigues, Maximilian Schiffer, Marco Pavone, Emilio Frazzoli, Jinhua Zhao, Gioele Zardini
2025	J	`jnl`	Robo-taxi Fleet Coordination at Scale via Reinforcement Learning. CoRR Luigi Tresca, Carolin Schmidt, James Harrison, Filipe Rodrigues, Gioele Zardini, Daniele Gammelli, Marco Pavone
2025	J	`jnl`	Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study. CoRR Dang Viet Anh Nguyen, Carlos Lima Azevedo, Tomer Toledo, Filipe Rodrigues
2025	J	`jnl`	Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume. CoRR Silke K. Kaiser, Filipe Rodrigues, Carlos Lima Azevedo, Lynn H. Kaack
2024	J	`jnl`	Arrival Time Prediction for Autonomous Shuttle Services in the Real World: Evidence from Five Cities. CoRR Carolin Schmidt, Mathias Niemann Tygesen, Filipe Rodrigues
2024	J	`jnl`	Bayesian Active Learning for Censored Regression. CoRR Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco Câmara Pereira
2024	J	`jnl`	Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learning. CoRR Dang Viet Anh Nguyen, J. Victor Flensburg, Fabrizio Cerreto, Bianca Pascariu, Paola Pellegrini, Carlos Lima Azevedo, Filipe Rodrigues
2024	—	`conf`	Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. ECC Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues
2024	J	`jnl`	Offline Hierarchical Reinforcement Learning via Inverse Optimization. CoRR Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues
2024	J	`jnl`	Railway network delay evolution: A heterogeneous graph neural network approach. Appl. Soft Comput. Zhongcan Li, Ping Huang, Chao Wen, Wei Dong, Yindong Ji, Filipe Rodrigues
2023	J	`jnl`	Deep Evidential Learning for Bayesian Quantile Regression. CoRR Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
2023	A*	`conf`	Graph Reinforcement Learning for Network Control via Bi-Level Optimization. ICML Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
2023	J	`jnl`	Graph Reinforcement Learning for Network Control via Bi-Level Optimization. CoRR Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
2023	—	`conf`	Incident congestion propagation prediction using incident reports. SuMob@SIGSPATIAL Mathias Niemann Tygesen, Mayank Sharan, Francisco C. Pereira, Filipe Rodrigues, Rose Yu
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`	On the Importance of Stationarity, Strong Baselines and Benchmarks in Transport Prediction Problems. ITSC Filipe Rodrigues
2023	J	`jnl`	Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections. Expert Syst. Appl. Zhongcan Li, Ping Huang, Chao Wen, Jie Li, Filipe Rodrigues
2023	—	`conf`	Representation Learning of Rare Temporal Conditions for Travel Time Prediction. ITSC Niklas Petersen, Filipe Rodrigues, Francisco C. Pereira
2023	J	`jnl`	Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling. Expert Syst. Appl. Anders Parslov, Niklas Christoffer Petersen, Filipe Rodrigues
2023	—	`conf`	The Dynamic RORO Stowage Planning Problem. ICCL Alastair Ronald Main, Filipe Rodrigues, Dario Pacino
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`	Generalized multi-output Gaussian process censored regression. Pattern Recognit. Daniele Gammelli, Kasper Pryds Rolsted, Dario Pacino, Filipe Rodrigues
2022	A*	`conf`	Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. KDD Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2022	J	`jnl`	Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. CoRR Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2022	J	`jnl`	Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks. IEEE Trans. Intell. Transp. Syst. Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
2022	J	`jnl`	Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility. Pattern Recognit. Daniele Gammelli, Filipe Rodrigues
2022	J	`jnl`	Representation learning of rare temporal conditions for travel time prediction. CoRR Niklas Petersen, Filipe Rodrigues, Francisco Pereira
2022	J	`jnl`	Unboxing the graph: Neural Relational Inference for Mobility Prediction. CoRR Mathias Niemann Tygesen, Francisco C. Pereira, Filipe Rodrigues
2021	J	`jnl`	Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand. CoRR Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
2021	J	`jnl`	Gaussian Process Latent Class Choice Models. CoRR Georges Sfeir, Filipe Rodrigues, Maya Abou-Zeid
2021	—	`conf`	Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CDC Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2021	J	`jnl`	Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CoRR Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2021	J	`jnl`	Modeling Censored Mobility Demand through Quantile Regression Neural Networks. CoRR Inon Peled, Filipe Rodrigues, Francisco C. 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
2021	J	`jnl`	Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling. CoRR Niklas Christoffer Petersen, Anders Parslov, Filipe Rodrigues
2020	J	`jnl`	Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems. IEEE Trans. Neural Networks Learn. Syst. Filipe Rodrigues, Francisco C. Pereira
2020	J	`jnl`	Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes. CoRR Daniele Gammelli, Inon Peled, Filipe Rodrigues, Dario Pacino, Haci A. Kurtaran, Francisco C. Pereira
2020	J	`jnl`	Generalized Multi-Output Gaussian Process Censored Regression. CoRR Daniele Gammelli, Kasper Pryds Rolsted, Dario Pacino, Filipe Rodrigues
2020	J	`jnl`	Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information. IEEE Trans. Intell. Transp. Syst. Ioulia Markou, Filipe Rodrigues, Francisco C. Pereira
2020	J	`jnl`	Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling. CoRR Daniele Gammelli, Filipe Rodrigues
2020	J	`jnl`	Scaling Bayesian inference of mixed multinomial logit models to very large datasets. CoRR Filipe Rodrigues
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`	Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. CoRR Filipe Rodrigues, Nicola Ortelli, Michel Bierlaire, Francisco C. Pereira
2019	J	`jnl`	Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach. Inf. Fusion Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira
2019	J	`jnl`	Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira
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
2019	—	`conf`	Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. ITSC Filipe Rodrigues, Carlos Lima Azevedo
2019	J	`jnl`	Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. CoRR Filipe Rodrigues, Carlos Lima Azevedo
2018	J	`jnl`	A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. CoRR Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira
2018	J	`jnl`	Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems. CoRR Filipe Rodrigues, Francisco C. Pereira
2018	J	`jnl`	Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach. CoRR Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira
2018	A*	`conf`	Deep Learning from Crowds. AAAI Filipe Rodrigues, Francisco C. Pereira
2018	J	`jnl`	Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data. CoRR Filipe Rodrigues, Francisco C. Pereira
2018	J	`jnl`	Learning Supervised Topic Models for Classification and Regression from Crowds. CoRR Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
2018	J	`jnl`	Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. CoRR Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira
2018	—	`conf`	Real-Time Taxi Demand Prediction using data from the web. ITSC Ioulia Markou, Filipe Rodrigues, Francisco C. Pereira
2017	J	`jnl`	A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. IEEE Trans. Pattern Anal. Mach. Intell. Filipe Rodrigues, Stanislav Borysov, Bernardete Ribeiro, Francisco C. Pereira
2017	J	`jnl`	Deep learning from crowds. CoRR Filipe Rodrigues, Francisco C. Pereira
2017	J	`jnl`	Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Trans. Pattern Anal. Mach. Intell. Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
2016	B	`conf`	Can Topic Modelling benefit from Word Sense Information? LREC Adriana Ferrugento, Hugo Gonçalo Oliveira, Ana Alves, Filipe Rodrigues
2016	—	`conf`	Using internet search queries to predict human mobility in social events. ITSC Stanislav Borysov, Mariana Lourenço, Filipe Rodrigues, Alexander Balatsky, Francisco C. Pereira
2015	B	`conf`	Learning Supervised Topic Models from Crowds. HCOMP Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira
2015	J	`jnl`	Mining point-of-interest data from social networks for urban land use classification and disaggregation. Comput. Environ. Urban Syst. Shan Jiang, Ana Alves, Filipe Rodrigues, Joseph Ferreira Jr., Francisco C. Pereira
2015	Misc	`conf`	Towards the Improvement of a Topic Model with Semantic Knowledge. EPIA Adriana Ferrugento, Ana Alves, Hugo Gonçalo Oliveira, Filipe Rodrigues
2015	J	`jnl`	Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios. J. Intell. Transp. Syst. Francisco C. Pereira, Filipe Rodrigues, Moshe E. Ben-Akiva
2015	J	`jnl`	Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data. IEEE Trans. Intell. Transp. Syst. Francisco C. Pereira, Filipe Rodrigues, Evgheni Polisciuc, Moshe E. Ben-Akiva
2014	—	`conf`	ASAP: Automatic Semantic Alignment for Phrases. SemEval@COLING Ana Alves, Adriana Ferrugento, Mariana Lourenço, Filipe Rodrigues
2014	A*	`conf`	Gaussian Process Classification and Active Learning with Multiple Annotators. ICML Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2014	J	`jnl`	Sequence labeling with multiple annotators. Mach. Learn. Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2013	J	`jnl`	Learning from multiple annotators: Distinguishing good from random labelers. Pattern Recognit. Lett. Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2011	—	`conf`	Tagging Space from Information Extraction and Popularity of Points of Interest. AmI Ana Oliveira Alves, Filipe Rodrigues, Francisco C. Pereira
2010	—	`conf`	Place in Perspective: Extracting Online Information about Points of Interest. AmI Ana Oliveira Alves, Francisco C. Pereira, Filipe Rodrigues, João Oliveirinha