Filipe Rodrigues

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 56

Top Topics

Reinforcement Learning

Gaussian Process

Top Venues

IEEE Trans. Intell. Transp. Syst.

Expert Syst. Appl.

Publications

Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco Câmara Pereira
Bayesian Active Learning for Censored Regression. CoRR (2024)
Zhongcan Li, Ping Huang, Chao Wen, Wei Dong, Yindong Ji, Filipe Rodrigues
Railway network delay evolution: A heterogeneous graph neural network approach. Appl. Soft Comput. 159 (2024)
Carolin Schmidt, Mathias Niemann Tygesen, Filipe Rodrigues
Arrival Time Prediction for Autonomous Shuttle Services in the Real World: Evidence from Five Cities. CoRR (2024)
Alastair Ronald Main, Filipe Rodrigues, Dario Pacino
The Dynamic RORO Stowage Planning Problem. ICCL (2023)
Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. ICML (2023)
Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. CoRR (2023)
Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
- Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand. CoRR (2023)
Mathias Niemann Tygesen, Mayank Sharan, Francisco C. Pereira, Filipe Rodrigues, Rose Yu
Incident congestion propagation prediction using incident reports. SuMob@SIGSPATIAL (2023)
Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
Deep Evidential Learning for Bayesian Quantile Regression. CoRR (2023)
Anders Parslov, Niklas Christoffer Petersen, Filipe Rodrigues
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling. Expert Syst. Appl. 232 (2023)
Daniele Gammelli, Kasper Pryds Rolsted, Dario Pacino, Filipe Rodrigues
Generalized multi-output Gaussian process censored regression. Pattern Recognit. 129 (2022)
Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. KDD (2022)
Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. CoRR (2022)
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)
Mathias Niemann Tygesen, Francisco C. Pereira, Filipe Rodrigues
Unboxing the graph: Neural Relational Inference for Mobility Prediction. CoRR (2022)
Daniele Gammelli, Filipe Rodrigues
Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility. Pattern Recognit. 129 (2022)
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand. CoRR (2021)
Niklas Christoffer Petersen, Anders Parslov, Filipe Rodrigues
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling. CoRR (2021)
Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CoRR (2021)
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)
Georges Sfeir, Filipe Rodrigues, Maya Abou-Zeid
Gaussian Process Latent Class Choice Models. CoRR (2021)
Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CDC (2021)
Inon Peled, Filipe Rodrigues, Francisco C. Pereira
Modeling Censored Mobility Demand through Quantile Regression Neural Networks. CoRR (2021)
Filipe Rodrigues, Francisco C. Pereira
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Ioulia Markou, Filipe Rodrigues, Francisco C. Pereira
Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information. IEEE Trans. Intell. Transp. Syst. 21 (2) (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)
Filipe Rodrigues
Scaling Bayesian inference of mixed multinomial logit models to very large datasets. CoRR (2020)
Daniele Gammelli, Kasper Pryds Rolsted, Dario Pacino, Filipe Rodrigues
Generalized Multi-Output Gaussian Process Censored Regression. CoRR (2020)
Daniele Gammelli, Filipe Rodrigues
Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling. CoRR (2020)
Daniele Gammelli, Inon Peled, Filipe Rodrigues, Dario Pacino, Haci A. Kurtaran, Francisco C. Pereira
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes. CoRR (2020)
Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira
Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach. Inf. Fusion 49 (2019)
Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. 20 (2) (2019)
Filipe Rodrigues, Nicola Ortelli, Michel Bierlaire, Francisco C. Pereira
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. CoRR (2019)
Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network. CoRR (2019)
Filipe Rodrigues, Carlos Lima Azevedo
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. CoRR (2019)
Filipe Rodrigues, Carlos Lima Azevedo
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. ITSC (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)
Filipe Rodrigues, Francisco C. Pereira
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems. CoRR (2018)
Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
Learning Supervised Topic Models for Classification and Regression from Crowds. CoRR (2018)
Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach. CoRR (2018)
Filipe Rodrigues, Francisco C. Pereira
Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data. CoRR (2018)
Ioulia Markou, Filipe Rodrigues, Francisco C. Pereira
Real-Time Taxi Demand Prediction using data from the web. ITSC (2018)
Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. CoRR (2018)
Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. CoRR (2018)
Filipe Rodrigues, Francisco C. Pereira
Deep Learning from Crowds. AAAI (2018)
Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)
Filipe Rodrigues, Stanislav Borysov, Bernardete Ribeiro, Francisco C. Pereira
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. IEEE Trans. Pattern Anal. Mach. Intell. 39 (11) (2017)
Filipe Rodrigues, Francisco C. Pereira
Deep learning from crowds. CoRR (2017)
Adriana Ferrugento, Hugo Gonçalo Oliveira, Ana Alves, Filipe Rodrigues
Can Topic Modelling benefit from Word Sense Information? LREC (2016)
Stanislav Borysov, Mariana Lourenço, Filipe Rodrigues, Alexander Balatsky, Francisco C. Pereira
Using internet search queries to predict human mobility in social events. ITSC (2016)
Adriana Ferrugento, Ana Alves, Hugo Gonçalo Oliveira, Filipe Rodrigues
Towards the Improvement of a Topic Model with Semantic Knowledge. EPIA (2015)
Shan Jiang, Ana Alves, Filipe Rodrigues, Joseph Ferreira Jr., Francisco C. Pereira
Mining point-of-interest data from social networks for urban land use classification and disaggregation. Comput. Environ. Urban Syst. 53 (2015)
Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira
Learning Supervised Topic Models from Crowds. HCOMP (2015)
Francisco C. Pereira, Filipe Rodrigues, Moshe E. Ben-Akiva
Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios. J. Intell. Transp. Syst. 19 (3) (2015)
Francisco C. Pereira, Filipe Rodrigues, Evgheni Polisciuc, Moshe E. Ben-Akiva
Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data. IEEE Trans. Intell. Transp. Syst. 16 (3) (2015)
Ana Alves, Adriana Ferrugento, Mariana Lourenço, Filipe Rodrigues
ASAP: Automatic Semantic Alignment for Phrases. SemEval@COLING (2014)
Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
Gaussian Process Classification and Active Learning with Multiple Annotators. ICML (2014)
Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
Sequence labeling with multiple annotators. Mach. Learn. 95 (2) (2014)
Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
Learning from multiple annotators: Distinguishing good from random labelers. Pattern Recognit. Lett. 34 (12) (2013)
Ana Oliveira Alves, Filipe Rodrigues, Francisco C. Pereira
Tagging Space from Information Extraction and Popularity of Points of Interest. AmI (2011)
Ana Oliveira Alves, Francisco C. Pereira, Filipe Rodrigues, João Oliveirinha
Place in Perspective: Extracting Online Information about Points of Interest. AmI (2010)