Francisco C. Pereira

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 57

Top Venues

CoRR

IEEE Trans. Intell. Transp. Syst.

ITSC

IEEE Intell. Syst.

Publications

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)
Jesper Hauch, Christoffer Riis, Francisco C. Pereira
Learning and Generalizing Polynomials in Simulation Metamodeling. CoRR (2023)
Mathias Niemann Tygesen, Mayank Sharan, Francisco C. Pereira, Filipe Rodrigues, Rose Yu
Incident congestion propagation prediction using incident reports. SuMob@SIGSPATIAL (2023)
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)
Valentino Servizi, Dan Roland Persson, Francisco C. 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. CoRR (2022)
Mathias Niemann Tygesen, Francisco C. Pereira, Filipe Rodrigues
Unboxing the graph: Neural Relational Inference for Mobility Prediction. CoRR (2022)
Valentino Servizi, Dan Roland Persson, Francisco C. Pereira, Hannah Villadsen, Per Bækgaard, Jeppe Rich, Otto Anker Nielsen
Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning. CoRR (2022)
Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira
QTIP: Quick simulation-based adaptation of traffic model per incident parameters. J. Simulation 16 (2) (2022)
Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira
Population synthesis for urban resident modeling using deep generative models. Neural Comput. Appl. 34 (6) (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)
Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance. CoRR (2021)
Haizheng Zhang, Ravi Seshadri, A. Arun Prakash, Constantinos Antoniou, Francisco C. Pereira, Moshe E. Ben-Akiva
Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment. CoRR (2021)
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand. 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, 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)
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. CoRR (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)
Bojan Kostic, Romain Crastes dit Sourd, Stephane Hess, Joachim Scheiner, Christian Holz-Rau, Francisco C. Pereira
Uncovering life-course patterns with causal discovery and survival analysis. CoRR (2020)
Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters. CoRR (2020)
Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira
Population synthesis for urban resident modeling using deep generative models. CoRR (2020)
Sergio Garrido, Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira
Estimating Causal Effects with the Neural Autoregressive Density Estimator. 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)
Samarth Gupta, Ravi Seshadri, Bilge Atasoy, A. Arun Prakash, Francisco C. Pereira, Gary Tan, Moshe E. Ben-Akiva
Real-Time Predictive Control Strategy Optimization. CoRR (2019)
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)
Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira, Jeppe Rich
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling. CoRR (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)
Francisco Antunes, Marco Amorim, Francisco C. Pereira, Bernardete Ribeiro
Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. Simul. Model. Pract. Theory 97 (2019)
Francisco Antunes, Francisco C. Pereira, Bernardete Ribeiro
Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. INTSYS (2019)
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
Online Framework for Demand-Responsive Stochastic Route Optimization. CoRR (2019)
Valentino Servizi, Francisco C. Pereira, Marie Karen Anderson, Otto Anker Nielsen
Mining User Behaviour from Smartphone data, a literature review. CoRR (2019)
Francisco C. Pereira
Rethinking travel behavior modeling representations through embeddings. CoRR (2019)
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. ITSC (2019)
Youngsung Kim, Ajinkya Ghorpade, Fang Zhao, Francisco C. Pereira, Pericles Christopher Zegras, Moshe E. Ben-Akiva
Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System. IEEE Intell. Syst. 33 (4) (2018)
Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
Active Learning for Input Space Exploration in Traffic Simulators. IJCNN (2018)
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)
Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira
Scalable Population Synthesis with Deep Generative Modeling. CoRR (2018)
Filipe Rodrigues, Francisco C. Pereira
Deep Learning from Crowds. AAAI (2018)
Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira, Rui Gomes
Efficient Transport Simulation With Restricted Batch-Mode Active Learning. IEEE Trans. Intell. Transp. Syst. 19 (11) (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)
Emmanouil Chaniotakis, Constantinos Antoniou, Francisco C. Pereira
Enhancing resilience to disasters using social media. MT-ITS (2017)
Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
Probabilistic modeling and visualization for bankruptcy prediction. Appl. Soft Comput. 60 (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)
Emmanouil Chaniotakis, Constantinos Antoniou, Francisco C. Pereira
Mapping Social Media for Transportation Studies. IEEE Intell. Syst. 31 (6) (2016)
Aidan O'Sullivan, Francisco C. Pereira, Jinhua Zhao, Harilaos N. Koutsopoulos
Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach. IEEE Trans. Intell. Transp. Syst. 17 (11) (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)
Fang Zhao, Ajinkya Ghorpade, Francisco C. Pereira, Chris Zegras, Moshe E. Ben-Akiva
Quantifying mobility: pervasive technologies for transport modeling. UbiComp/ISWC Adjunct (2015)
Youngsung Kim, Francisco C. Pereira, Fang Zhao, Ajinkya Ghorpade, Pericles Christopher Zegras, Moshe E. Ben-Akiva
Activity recognition for a smartphone and web based travel survey. CoRR (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)
Yang Lu, Ravi Seshadri, Francisco C. Pereira, Aidan O'Sullivan, Constantinos Antoniou, Moshe E. Ben-Akiva
DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management. ITSC (2015)
Francisco C. Pereira, Ana L. C. Bazzan, Moshe E. Ben-Akiva
The Role of Context in Transport Prediction. IEEE Intell. Syst. 29 (1) (2014)
Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
Gaussian Process Classification and Active Learning with Multiple Annotators. ICML (2014)
Kalan Nawarathne, Fang Zhao, Francisco C. Pereira, Jun Luo
Dead reckoning on smartphones to reduce GPS usage. ICARCV (2014)
Francisco C. Pereira, Constantinos Antoniou, Joan Aguilar Fargas, Moshe E. Ben-Akiva
A Metamodel for Estimating Error Bounds in Real-Time Traffic Prediction Systems. IEEE Trans. Intell. Transp. Syst. 15 (3) (2014)
Youngsung Kim, Francisco C. Pereira, Fang Zhao, Ajinkya Ghorpade, Pericles Christopher Zegras, Moshe E. Ben-Akiva
Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data. ICPR (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)
Fang-Jing Wu, Hock Beng Lim, Francisco C. Pereira, Chris Zegras, Moshe E. Ben-Akiva
A user-centric mobility sensing system for transportation activity surveys. SenSys (2013)
Yu Xiao, David Low, Thusitha Bandara, Parth Pathak, Hock Beng Lim, Devendra Goyal, Jorge Santos, Caitlin Doyle Cottrill, Francisco C. Pereira, Chris Zegras, Moshe E. Ben-Akiva
Transportation activity analysis using smartphones. CCNC (2012)
Ana Oliveira Alves, Filipe Rodrigues, Francisco C. Pereira
Tagging Space from Information Extraction and Popularity of Points of Interest. AmI (2011)
João Oliveirinha, Francisco C. Pereira, Ana Alves
Acquiring semantic context for events from online resources. LocWeb (2010)
Ana Oliveira Alves, Francisco C. Pereira, Filipe Rodrigues, João Oliveirinha
Place in Perspective: Extracting Online Information about Points of Interest. AmI (2010)
Francesco Calabrese, Francisco C. Pereira, Giusy Di Lorenzo, Liu Liang, Carlo Ratti
The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events. Pervasive (2010)
Giusy Di Lorenzo, Fabio Pinelli, Francisco C. Pereira, Assaf Biderman, Carlo Ratti, Charles Lee, Chuuhee Lee
An Affective Intelligent Driving Agent: Driver's Trajectory and Activities Prediction. VTC Fall (2009)
Andrea Vaccari, Liang Liu, Assaf Biderman, Carlo Ratti, Francisco C. Pereira, João Oliveirinha, Alexandre Gerber
A holistic framework for the study of urban traces and the profiling of urban processes and dynamics. ITSC (2009)
Ana Alves, Bruno Antunes, Francisco C. Pereira, Carlos Bento
Semantic enrichment of places: Ontology learning from web. Int. J. Knowl. Based Intell. Eng. Syst. 13 (1) (2009)
Francisco C. Pereira, Ana Alves, João Oliveirinha, Assaf Biderman
Perspectives on Semantics of the Place from Online Resources. ICSC (2009)
Ana Oliveira Alves, Francisco C. Pereira, Assaf Biderman, Carlo Ratti
Place Enrichment by Mining the Web. AmI (2009)
Bruno Antunes, Ana Alves, Francisco C. Pereira
Semantics of Place: Ontology Enrichment. IBERAMIA (2008)
Ana Alves, Raquel Hervás, Francisco C. Pereira, Pablo Gervás, Carlos Bento
Conceptual Enrichment of Locations Pointed Out by the User. KES (1) (2007)
Raquel Hervás, Rui Ponte Costa, Hugo Costa, Pablo Gervás, Francisco C. Pereira
Enrichment of Automatically Generated Texts Using Metaphor. MICAI (2007)
Paulo Gomes, Nuno Seco, Francisco C. Pereira, Paulo Paiva, Paulo Carreiro, José Luís Ferreira, Carlos Bento
The importance of retrieval in creative design analogies. Knowl. Based Syst. 19 (7) (2006)
Francisco C. Pereira, Amílcar Cardoso
Experiments with free concept generation in Divago. Knowl. Based Syst. 19 (7) (2006)
Raquel Hervás, Francisco C. Pereira, Pablo Gervás, Amílcar Cardoso
A Text Generation System that Uses Simple Rhetorical Figures. Proces. del Leng. Natural 37 (2006)
Nuno Seco, Paulo Gomes, Francisco C. Pereira
Modelling Software Specifications with Case Based Reasoning. NLUCS (2004)
Paulo Gomes, Francisco C. Pereira, Paulo Carreiro, Paulo Paiva, Nuno Seco, José Luís Ferreira, Carlos Bento
Reuse of UML Class Diagrams Using Case-Based Composition. SEKE (2004)
Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
Using WordNet for case-based retrieval of UML models. AI Commun. 17 (1) (2004)
Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
REBUILDER: A CBR Approach to Knowledge Management in Software Design. LSO (2004)
Paulo Gomes, Francisco C. Pereira, Paulo Carreiro, Paulo Paiva, Nuno Seco, José Luís Ferreira, Carlos Bento
Case-Based Adaptation for UML Diagram Reuse. KES (2004)
Nuno Seco, Paulo Gomes, Francisco C. Pereira
Using CBR for Semantic Analysis of Software Specifications. ECCBR (2004)
Paulo Ribeiro, Francisco C. Pereira, Bruno F. Marques, Bruno Leitão, Amílcar Cardoso
A Model for Creativity in Creature Generation. GAME-ON (2003)
Paulo Gomes, Francisco C. Pereira, Paulo Carreiro, Paulo Paiva, Nuno Seco, José Luís Ferreira, Carlos Bento
Solution Verification in Software Design: A CBR Approach. ICCBR (2003)
Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
Evaluation of Case-Based Maintenance Strategies in Software Design. ICCBR (2003)
Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
Selection and Reuse of Software Design Patterns Using CBR and WordNet. SEKE (2003)
Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
Case-Based Reuse of UML Diagrams. SEKE (2003)
Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
Noun Sense Disambiguation with WordNet for Software Design Retrieval. Canadian Conference on AI (2003)

Francisco C. Pereira.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Francisco C. Pereira