Place in Perspective: Extracting Online Information about Points of Interest. - Ana Oliveira Alves; Francisco C. Pereira; Filipe Rodrigues 001; João Oliveirinha (AmI, 2010)

Tagging Space from Information Extraction and Popularity of Points of Interest. - Ana Oliveira Alves; Filipe Rodrigues 001; Francisco C. Pereira (AmI, 2011)

Learning from multiple annotators: Distinguishing good from random labelers. - Filipe Rodrigues 001; Francisco C. Pereira; Bernardete Ribeiro (Pattern Recognit. Lett., 2013)

Gaussian Process Classification and Active Learning with Multiple Annotators. - Filipe Rodrigues 001; Francisco C. Pereira; Bernardete Ribeiro (ICML, 2014)

ASAP: Automatic Semantic Alignment for Phrases. - Ana Alves 001; Adriana Ferrugento; Mariana Lourenço; Filipe Rodrigues 001 (SemEval@COLING, 2014)

Sequence labeling with multiple annotators. - Filipe Rodrigues 001; Francisco C. Pereira; Bernardete Ribeiro (Mach. Learn., 2014)

Towards the Improvement of a Topic Model with Semantic Knowledge. - Adriana Ferrugento; Ana Alves 001; Hugo Gonçalo Oliveira; Filipe Rodrigues 001 (EPIA, 2015)

Learning Supervised Topic Models from Crowds. - Filipe Rodrigues 001; Bernardete Ribeiro; Mariana Lourenço; Francisco C. Pereira (HCOMP, 2015)

Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios. - Francisco C. Pereira; Filipe Rodrigues 001; Moshe E. Ben-Akiva (J. Intell. Transp. Syst., 2015)

Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data. - Francisco C. Pereira; Filipe Rodrigues 001; Evgheni Polisciuc; Moshe E. Ben-Akiva (IEEE Trans. Intell. Transp. Syst., 2015)

Mining point-of-interest data from social networks for urban land use classification and disaggregation. - Shan Jiang 004; Ana Alves 001; Filipe Rodrigues 001; Joseph Ferreira Jr.; Francisco C. Pereira (Comput. Environ. Urban Syst., 2015)

Using internet search queries to predict human mobility in social events. - Stanislav Borysov; Mariana Lourenço; Filipe Rodrigues 001; Alexander Balatsky; Francisco C. Pereira (ITSC, 2016)

Can Topic Modelling benefit from Word Sense Information? - Adriana Ferrugento; Hugo Gonçalo Oliveira; Ana Alves 001; Filipe Rodrigues 001 (LREC, 2016)

A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. - Filipe Rodrigues 001; Stanislav Borysov; Bernardete Ribeiro; Francisco C. Pereira (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Learning Supervised Topic Models for Classification and Regression from Crowds. - Filipe Rodrigues 001; Mariana Lourenço; Bernardete Ribeiro; Francisco C. Pereira (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Deep Learning from Crowds. - Filipe Rodrigues 001; Francisco C. Pereira (AAAI, 2018)

Real-Time Taxi Demand Prediction using data from the web. - Ioulia Markou; Filipe Rodrigues 001; Francisco C. Pereira (ITSC, 2018)

Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems. - Filipe Rodrigues 001; Francisco C. Pereira (CoRR, 2018)

Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data. - Filipe Rodrigues 001; Francisco C. Pereira (CoRR, 2018)

Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. - Filipe Rodrigues 001; Carlos Lima Azevedo (ITSC, 2019)

Multi-output bus travel time prediction with convolutional LSTM neural network. - Niklas Christoffer Petersen; Filipe Rodrigues 001; Francisco Câmara Pereira (Expert Syst. Appl., 2019)

Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach. - Filipe Rodrigues 001; Ioulia Markou; Francisco C. Pereira (Inf. Fusion, 2019)

Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. - Filipe Rodrigues 001; Kristian Henrickson; Francisco C. Pereira (IEEE Trans. Intell. Transp. Syst., 2019)

Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes. - Daniele Gammelli; Inon Peled; Filipe Rodrigues 001; Dario Pacino; Haci A. Kurtaran; Francisco C. Pereira (CoRR, 2020)

Scaling Bayesian inference of mixed multinomial logit models to very large datasets. - Filipe Rodrigues 001 (CoRR, 2020)

Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling. - Daniele Gammelli; Filipe Rodrigues 001 (CoRR, 2020)

Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach. - Georges Sfeir; Maya Abou-Zeid; Filipe Rodrigues 001; Francisco Câmara Pereira; Isam Kaysi (CoRR, 2020)

Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information. - Ioulia Markou; Filipe Rodrigues 001; Francisco C. Pereira (IEEE Trans. Intell. Transp. Syst., 2020)

Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems. - Filipe Rodrigues 001; Francisco C. Pereira (IEEE Trans. Neural Networks Learn. Syst., 2020)

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. - Daniele Gammelli; Kaidi Yang; James Harrison; Filipe Rodrigues 001; Francisco C. Pereira; Marco Pavone 001 (CDC, 2021)

Gaussian Process Latent Class Choice Models. - Georges Sfeir; Filipe Rodrigues 001; Maya Abou-Zeid (CoRR, 2021)

Modeling Censored Mobility Demand through Quantile Regression Neural Networks. - Inon Peled; Filipe Rodrigues 001; Francisco C. Pereira (CoRR, 2021)

Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand. - Frederik Boe Hüttel; Inon Peled; Filipe Rodrigues 001; Francisco C. Pereira (CoRR, 2021)

Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management. - Daniele Gammelli; Yihua Wang; Dennis Prak; Filipe Rodrigues 001; Stefan Minner; Francisco Câmara Pereira (CoRR, 2021)

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. - Daniele Gammelli; Kaidi Yang; James Harrison; Filipe Rodrigues 001; Francisco C. Pereira; Marco Pavone 001 (KDD, 2022)

Unboxing the graph: Neural Relational Inference for Mobility Prediction. - Mathias Niemann Tygesen; Francisco C. Pereira; Filipe Rodrigues 001 (CoRR, 2022)

Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility. - Daniele Gammelli; Filipe Rodrigues 001 (Pattern Recognit., 2022)

Generalized multi-output Gaussian process censored regression. - Daniele Gammelli; Kasper Pryds Rolsted; Dario Pacino; Filipe Rodrigues 001 (Pattern Recognit., 2022)

Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks. - Frederik Boe Hüttel; Inon Peled; Filipe Rodrigues 001; Francisco C. Pereira (IEEE Trans. Intell. Transp. Syst., 2022)

Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. - Filipe Rodrigues 001; Nicola Ortelli; Michel Bierlaire; Francisco Câmara Pereira (IEEE Trans. Intell. Transp. Syst., 2022)

The Dynamic RORO Stowage Planning Problem. - Alastair Ronald Main; Filipe Rodrigues 001; Dario Pacino (ICCL, 2023)

Graph Reinforcement Learning for Network Control via Bi-Level Optimization. - Daniele Gammelli; James Harrison; Kaidi Yang; Marco Pavone 001; Filipe Rodrigues 001; Francisco C. Pereira (ICML, 2023)

Representation Learning of Rare Temporal Conditions for Travel Time Prediction. - Niklas Petersen; Filipe Rodrigues 001; Francisco C. Pereira (ITSC, 2023)

On the Importance of Stationarity, Strong Baselines and Benchmarks in Transport Prediction Problems. - Filipe Rodrigues 001 (ITSC, 2023)

Incident congestion propagation prediction using incident reports. - Mathias Niemann Tygesen; Mayank Sharan; Francisco C. Pereira; Filipe Rodrigues 001; Rose Yu (SuMob@SIGSPATIAL, 2023)

Mind the Gap - Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand. - Frederik Boe Hüttel; Filipe Rodrigues 001; Francisco Câmara Pereira (CoRR, 2023)

Deep Evidential Learning for Bayesian Quantile Regression. - Frederik Boe Hüttel; Filipe Rodrigues 001; Francisco Câmara Pereira (CoRR, 2023)

Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections. - Zhongcan Li; Ping Huang; Chao Wen; Jie Li; Filipe Rodrigues 001 (Expert Syst. Appl., 2023)

Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling. - Anders Parslov; Niklas Christoffer Petersen; Filipe Rodrigues 001 (Expert Syst. Appl., 2023)

Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. - Carolin Schmidt; Daniele Gammelli; Francisco Câmara Pereira; Filipe Rodrigues 001 (ECC, 2024)

Railway network delay evolution: A heterogeneous graph neural network approach. - Zhongcan Li; Ping Huang; Chao Wen; Wei Dong; Yindong Ji; Filipe Rodrigues 001 (Appl. Soft Comput., 2024)

Arrival Time Prediction for Autonomous Shuttle Services in the Real World: Evidence from Five Cities. - Carolin Schmidt; Mathias Niemann Tygesen; Filipe Rodrigues 001 (CoRR, 2024)

Bayesian Active Learning for Censored Regression. - Frederik Boe Hüttel; Christoffer Riis; Filipe Rodrigues 001; Francisco Câmara Pereira (CoRR, 2024)

Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learning. - Dang Viet Anh Nguyen; J. Victor Flensburg; Fabrizio Cerreto; Bianca Pascariu; Paola Pellegrini; Carlos Lima Azevedo; Filipe Rodrigues 001 (CoRR, 2024)

Offline Hierarchical Reinforcement Learning via Inverse Optimization. - Carolin Schmidt; Daniele Gammelli; James Harrison; Marco Pavone 001; Filipe Rodrigues 001 (ICLR, 2025)

Robo-taxi Fleet Coordination at Scale via Reinforcement Learning. - Luigi Tresca; Carolin Schmidt; James Harrison; Filipe Rodrigues 001; Gioele Zardini; Daniele Gammelli; Marco Pavone 001 (CoRR, 2025)

Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes. - Xiaoyi Wu; Ravi Seshadri; Filipe Rodrigues 001; Carlos Lima Azevedo (CoRR, 2025)

Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume. - Silke K. Kaiser; Filipe Rodrigues 001; Carlos Lima Azevedo; Lynn H. Kaack (CoRR, 2025)

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. - Xinling Li; Meshal Alharbi; Daniele Gammelli; James Harrison; Filipe Rodrigues 001; Maximilian Schiffer; Marco Pavone 001; Emilio Frazzoli; Jinhua Zhao; Gioele Zardini (CoRR, 2025)

Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study. - Dang Viet Anh Nguyen; Carlos Lima Azevedo; Tomer Toledo; Filipe Rodrigues 001 (CoRR, 2025)