Francisco C. Pereira

Orcid: 0000-0001-5457-9909

According to our database1, Francisco C. Pereira authored at least 125 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen.
CoRR, 2024

Bayesian Active Learning for Censored Regression.
CoRR, 2024

Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning.
Proceedings of the European Control Conference, 2024

2023
"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., November, 2023

Deep Evidential Learning for Bayesian Quantile Regression.
CoRR, 2023

Applied metamodelling for ATM performance simulations.
CoRR, 2023

Learning and Generalizing Polynomials in Simulation Metamodeling.
CoRR, 2023

Attitudes and Latent Class Choice Models using Machine learning.
CoRR, 2023

Mind the Gap - Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand.
CoRR, 2023

Incident congestion propagation prediction using incident reports.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility, 2023

Representation Learning of Rare Temporal Conditions for Travel Time Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Predicting Trip Activities and Modes Using Long Short-Term Memory Models and Geospatial Representations.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Graph Reinforcement Learning for Network Control via Bi-Level Optimization.
Proceedings of the International Conference on Machine Learning, 2023

2022
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models.
IEEE Trans. Intell. Transp. Syst., 2022

Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Population synthesis for urban resident modeling using deep generative models.
Neural Comput. Appl., 2022

QTIP: Quick simulation-based adaptation of traffic model per incident parameters.
J. Simulation, 2022

Bayesian Active Learning with Fully Bayesian Gaussian Processes.
CoRR, 2022

Open vs Closed-ended questions in attitudinal surveys - comparing, combining, and interpreting using natural language processing.
CoRR, 2022

Transfer learning for cross-modal demand prediction of bike-share and public transit.
CoRR, 2022

Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning.
CoRR, 2022

Unboxing the graph: Neural Relational Inference for Mobility Prediction.
CoRR, 2022

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis.
IEEE Trans. Intell. Transp. Syst., 2021

Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance.
CoRR, 2021

Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management.
CoRR, 2021

Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand.
CoRR, 2021

Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment.
CoRR, 2021

Modeling Censored Mobility Demand through Quantile Regression Neural Networks.
CoRR, 2021

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems.
IEEE Trans. Neural Networks Learn. Syst., 2020

Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information.
IEEE Trans. Intell. Transp. Syst., 2020

Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport.
CoRR, 2020

Estimating Causal Effects with the Neural Autoregressive Density Estimator.
CoRR, 2020

Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach.
CoRR, 2020

A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability.
CoRR, 2020

Uncovering life-course patterns with causal discovery and survival analysis.
CoRR, 2020

Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes.
CoRR, 2020

2019
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst., 2019

Active learning metamodeling for policy analysis: Application to an emergency medical service simulator.
Simul. Model. Pract. Theory, 2019

Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach.
Inf. Fusion, 2019

Multi-output bus travel time prediction with convolutional LSTM neural network.
Expert Syst. Appl., 2019

Mining User Behaviour from Smartphone data, a literature review.
CoRR, 2019

Prediction of rare feature combinations in population synthesis: Application of deep generative modelling.
CoRR, 2019

Rethinking travel behavior modeling representations through embeddings.
CoRR, 2019

Online Framework for Demand-Responsive Stochastic Route Optimization.
CoRR, 2019

Real-Time Predictive Control Strategy Optimization.
CoRR, 2019

Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Directional Grid-Based Search for Simulation Metamodeling Using Active Learning.
Proceedings of the Intelligent Transport Systems. From Research and Development to the Market Uptake, 2019

The Nuts and Bolts of Conceptual Blending: Multidomain Concept Creation with Divago.
Proceedings of the Computational Creativity, 2019

2018
Efficient Transport Simulation With Restricted Batch-Mode Active Learning.
IEEE Trans. Intell. Transp. Syst., 2018

Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System.
IEEE Intell. Syst., 2018

Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data.
CoRR, 2018

Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems.
CoRR, 2018

Scalable Population Synthesis with Deep Generative Modeling.
CoRR, 2018

Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Real-Time Taxi Demand Prediction using data from the web.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Opening Up the Conversation: Topic Modeling for Automated Text Analysis in Travel Surveys.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Active Learning for Input Space Exploration in Traffic Simulators.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning from Crowds.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning Supervised Topic Models for Classification and Regression from Crowds.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A Bayesian Additive Model for Understanding Public Transport Usage in Special Events.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Probabilistic modeling and visualization for bankruptcy prediction.
Appl. Soft Comput., 2017

Enhancing resilience to disasters using social media.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

2016
Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach.
IEEE Trans. Intell. Transp. Syst., 2016

Mapping Social Media for Transportation Studies.
IEEE Intell. Syst., 2016

Using internet search queries to predict human mobility in social events.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Mining point-of-interest data from social networks for urban land use classification and disaggregation.
Comput. Environ. Urban Syst., 2015

Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data.
IEEE Trans. Intell. Transp. Syst., 2015

Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios.
J. Intell. Transp. Syst., 2015

Activity recognition for a smartphone and web based travel survey.
CoRR, 2015

DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Quantifying mobility: pervasive technologies for transport modeling.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Learning Supervised Topic Models from Crowds.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2014
A Metamodel for Estimating Error Bounds in Real-Time Traffic Prediction Systems.
IEEE Trans. Intell. Transp. Syst., 2014

An introduction to the special issue on cross-community mining.
Pers. Ubiquitous Comput., 2014

Sequence labeling with multiple annotators.
Mach. Learn., 2014

A Genetic Algorithms Approach for Inverse Shortest Path Length Problems.
Int. J. Nat. Comput. Res., 2014

The Role of Context in Transport Prediction.
IEEE Intell. Syst., 2014

Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Gaussian Process Classification and Active Learning with Multiple Annotators.
Proceedings of the 31th International Conference on Machine Learning, 2014

Dead reckoning on smartphones to reduce GPS usage.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013
Learning from multiple annotators: Distinguishing good from random labelers.
Pattern Recognit. Lett., 2013

A user-centric mobility sensing system for transportation activity surveys.
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013

2012
Transportation activity analysis using smartphones.
Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012

2011
Smart Energy Systems.
IEEE Pervasive Comput., 2011

Tagging Space from Information Extraction and Popularity of Points of Interest.
Proceedings of the Ambient Intelligence, 2011

2010
The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events.
Proceedings of the Pervasive Computing, 8th International Conference, 2010

Acquiring semantic context for events from online resources.
Proceedings of the Third International Workshop on Location and the Web, 2010

Place in Perspective: Extracting Online Information about Points of Interest.
Proceedings of the Ambient Intelligence, 2010

2009
Semantic enrichment of places: Ontology learning from web.
Int. J. Knowl. Based Intell. Eng. Syst., 2009

An Affective Intelligent Driving Agent: Driver's Trajectory and Activities Prediction.
Proceedings of the 70th IEEE Vehicular Technology Conference, 2009

Perspectives on Semantics of the Place from Online Resources.
Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

A holistic framework for the study of urban traces and the profiling of urban processes and dynamics.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

Place Enrichment by Mining the Web.
Proceedings of the Ambient Intelligence, 2009

2008
Semantics of Place: Ontology Enrichment.
Proceedings of the Advances in Artificial Intelligence, 2008

2007
Enrichment of Automatically Generated Texts Using Metaphor.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Conceptual Enrichment of Locations Pointed Out by the User.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
An Approach to Software Design Reuse Using Case-Based Reasoning and WordNet.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006

A Text Generation System that Uses Simple Rhetorical Figures.
Proces. del Leng. Natural, 2006

Experiments with free concept generation in Divago.
Knowl. Based Syst., 2006

The importance of retrieval in creative design analogies.
Knowl. Based Syst., 2006

2004
Using WordNet for case-based retrieval of UML models.
AI Commun., 2004

Reuse of UML Class Diagrams Using Case-Based Composition.
Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2004), 2004

Modelling Software Specifications with Case Based Reasoning.
Proceedings of the Natural Language Understanding and Cognitive Science, 2004

REBUILDER: A CBR Approach to Knowledge Management in Software Design.
Proceedings of the Advances in Learning Software Organizations, 6th International Workshop, 2004

Case-Based Adaptation for UML Diagram Reuse.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Using CBR for Semantic Analysis of Software Specifications.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

2003
Case-Based Reuse of UML Diagrams.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

Selection and Reuse of Software Design Patterns Using CBR and WordNet.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

Evaluation of Case-Based Maintenance Strategies in Software Design.
Proceedings of the Case-Based Reasoning Research and Development, 2003

Solution Verification in Software Design: A CBR Approach.
Proceedings of the Case-Based Reasoning Research and Development, 2003

A Model for Creativity in Creature Generation.
Proceedings of the 4th International Conference on Intelligent Games and Simulation (GAME-ON 2003), 2003

Noun Sense Disambiguation with WordNet for Software Design Retrieval.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Using CBR for Automation of Software Design Patterns.
Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002

Experiments on Case-Based Retrieval of Software Designs.
Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002

Case Retrieval of Software Designs using WordNet.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

Combining Case-Based Reasoning and Analogical Reasoning in Software Design.
Proceedings of the Artificial Intelligence and Cognitive Science, 2002

2001
An Architecture for Hybrid Creative Reasoning.
Proceedings of the Soft Computing in Case Based Reasoning, 2001

2000
Clouds: A Module for Automatic Learning of Concept Maps.
Proceedings of the Theory and Application of Diagrams, First International Conference, 2000

1998
Darwinci: Creating Bridges to Creativity.
Proceedings of the Advances in Artificial Intelligence, 1998

Modelling Divergent Production: A multi-domain approach.
Proceedings of the 13th European Conference on Artificial Intelligence, 1998

1997
A Structured Framework for Representing Time in a Generative Composition System.
Proceedings of the 4th International Workshop on Temporal Representation and Reasoning, 1997

Experimental Study of a Similarity Metric for Retrieving Pieces from Structured Plan Cases: Its Role in the Originality of Plan Case Solutions.
Proceedings of the Case-Based Reasoning Research and Development, 1997

1996
Plans as Structured Networks of Hierarchically and Temporally Related Case Pieces.
Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996


  Loading...