Plans as Structured Networks of Hierarchically and Temporally Related Case Pieces. - Luís Macedo; Francisco C. Pereira; Carlos Grilo; Amílcar Cardoso (EWCBR, 1996)

Experimental Study of a Similarity Metric for Retrieving Pieces from Structured Plan Cases: Its Role in the Originality of Plan Case Solutions. - Luís Macedo; Francisco C. Pereira; Carlos Grilo; Amílcar Cardoso (ICCBR, 1997)

A Structured Framework for Representing Time in a Generative Composition System. - Francisco C. Pereira; Carlos Grilo; Luís Macedo; Amílcar Cardoso (TIME, 1997)

Modelling Divergent Production: A multi-domain approach. - Francisco C. Pereira (ECAI, 1998)

Darwinci: Creating Bridges to Creativity. - Francisco C. Pereira; Penousal Machado; Amílcar Cardoso (SBIA, 1998)

Clouds: A Module for Automatic Learning of Concept Maps. - Francisco C. Pereira; Amílcar Cardoso (Diagrams, 2000)

An Architecture for Hybrid Creative Reasoning. - Amílcar Cardoso; Ernesto Costa; Penousal Machado; Francisco C. Pereira; Paulo Gomes (Soft Computing in Case Based Reasoning, 2001)

Combining Case-Based Reasoning and Analogical Reasoning in Software Design. - Paulo Gomes; Francisco C. Pereira; Nuno Seco; Paulo Paiva; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (AICS, 2002)

Case Retrieval of Software Designs using WordNet. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (ECAI, 2002)

Experiments on Case-Based Retrieval of Software Designs. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (ECCBR, 2002)

Using CBR for Automation of Software Design Patterns. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (ECCBR, 2002)

Noun Sense Disambiguation with WordNet for Software Design Retrieval. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (AI, 2003)

A Model for Creativity in Creature Generation. - Paulo Ribeiro; Francisco C. Pereira; Bruno F. Marques; Bruno Leitão; Amílcar Cardoso (GAME-ON, 2003)

Solution Verification in Software Design: A CBR Approach. - Paulo Gomes; Francisco C. Pereira; Paulo Carreiro; Paulo Paiva; Nuno Seco; José Luís Ferreira; Carlos Bento 001 (ICCBR, 2003)

Evaluation of Case-Based Maintenance Strategies in Software Design. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (ICCBR, 2003)

Selection and Reuse of Software Design Patterns Using CBR and WordNet. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (SEKE, 2003)

Case-Based Reuse of UML Diagrams. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (SEKE, 2003)

Using CBR for Semantic Analysis of Software Specifications. - Nuno Seco; Paulo Gomes; Francisco C. Pereira (ECCBR, 2004)

Case-Based Adaptation for UML Diagram Reuse. - Paulo Gomes; Francisco C. Pereira; Paulo Carreiro; Paulo Paiva; Nuno Seco; José Luís Ferreira; Carlos Bento 001 (KES, 2004)

REBUILDER: A CBR Approach to Knowledge Management in Software Design. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (LSO, 2004)

Modelling Software Specifications with Case Based Reasoning. - Nuno Seco; Paulo Gomes; Francisco C. Pereira (NLUCS, 2004)

Reuse of UML Class Diagrams Using Case-Based Composition. - Paulo Gomes; Francisco C. Pereira; Paulo Carreiro; Paulo Paiva; Nuno Seco; José Luís Ferreira; Carlos Bento 001 (SEKE, 2004)

Using WordNet for case-based retrieval of UML models. - Paulo Gomes; Francisco C. Pereira; Paulo Paiva; Nuno Seco; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (AI Commun., 2004)

The importance of retrieval in creative design analogies. - Paulo Gomes; Nuno Seco; Francisco C. Pereira; Paulo Paiva; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (Knowl. Based Syst., 2006)

Experiments with free concept generation in Divago. - Francisco C. Pereira; Amílcar Cardoso (Knowl. Based Syst., 2006)

A Text Generation System that Uses Simple Rhetorical Figures. - Raquel Hervás; Francisco C. Pereira; Pablo Gervás; Amílcar Cardoso (Proces. del Leng. Natural, 2006)

An Approach to Software Design Reuse Using Case-Based Reasoning and WordNet. - Paulo Gomes; Nuno Seco; Francisco C. Pereira; Paulo Paiva; Paulo Carreiro; José Luís Ferreira; Carlos Bento 001 (Integrated Intelligent Systems for Engineering Design, 2006)

Conceptual Enrichment of Locations Pointed Out by the User. - Ana Alves 001; Raquel Hervás; Francisco C. Pereira; Pablo Gervás; Carlos Bento 001 (KES (1), 2007)

Enrichment of Automatically Generated Texts Using Metaphor. - Raquel Hervás; Rui Ponte Costa; Hugo Costa; Pablo Gervás; Francisco C. Pereira (MICAI, 2007)

Semantics of Place: Ontology Enrichment. - Bruno Antunes; Ana Alves 001; Francisco C. Pereira (IBERAMIA, 2008)

Place Enrichment by Mining the Web. - Ana Oliveira Alves; Francisco C. Pereira; Assaf Biderman; Carlo Ratti (AmI, 2009)

A holistic framework for the study of urban traces and the profiling of urban processes and dynamics. - Andrea Vaccari; Liang Liu; Assaf Biderman; Carlo Ratti; Francisco C. Pereira; João Oliveirinha; Alexandre Gerber (ITSC, 2009)

Perspectives on Semantics of the Place from Online Resources. - Francisco C. Pereira; Ana Alves 001; João Oliveirinha; Assaf Biderman (ICSC, 2009)

An Affective Intelligent Driving Agent: Driver's Trajectory and Activities Prediction. - Giusy Di Lorenzo; Fabio Pinelli; Francisco C. Pereira; Assaf Biderman; Carlo Ratti; Charles Lee; Chuuhee Lee (VTC Fall, 2009)

Semantic enrichment of places: Ontology learning from web. - Ana Alves 001; Bruno Antunes; Francisco C. Pereira; Carlos Bento 001 (Int. J. Knowl. Based Intell. Eng. Syst., 2009)

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

Acquiring semantic context for events from online resources. - João Oliveirinha; Francisco C. Pereira; Ana Alves 001 (LocWeb, 2010)

The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events. - Francesco Calabrese; Francisco C. Pereira; Giusy Di Lorenzo; Liu Liang; Carlo Ratti (Pervasive, 2010)

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

Smart Energy Systems. - Oliver Amft; Richard Medland; Marcus Foth; Petromil Petkov; Joana Abreu; Francisco Câmara Pereira; Philip M. Johnson; Robert S. Brewer; James Pierce 001; Eric Paulos (IEEE Pervasive Comput., 2011)

Transportation activity analysis using smartphones. - 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 (CCNC, 2012)

A user-centric mobility sensing system for transportation activity surveys. - Fang-Jing Wu; Hock Beng Lim; Francisco C. Pereira; Chris Zegras; Moshe E. Ben-Akiva (SenSys, 2013)

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

Dead reckoning on smartphones to reduce GPS usage. - Kalan Nawarathne; Fang Zhao; Francisco C. Pereira; Jun Luo 001 (ICARCV, 2014)

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

Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data. - Youngsung Kim; Francisco C. Pereira; Fang Zhao; Ajinkya Ghorpade; Pericles Christopher Zegras; Moshe E. Ben-Akiva (ICPR, 2014)

The Role of Context in Transport Prediction. - Francisco C. Pereira; Ana L. C. Bazzan; Moshe E. Ben-Akiva (IEEE Intell. Syst., 2014)

A Genetic Algorithms Approach for Inverse Shortest Path Length Problems. - António Leitão; Adriano Vinhas; Penousal Machado; Francisco Câmara Pereira (Int. J. Nat. Comput. Res., 2014)

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

An introduction to the special issue on cross-community mining. - Bin Guo 001; Zhiwen Yu 001; Francisco Câmara Pereira (Pers. Ubiquitous Comput., 2014)

A Metamodel for Estimating Error Bounds in Real-Time Traffic Prediction Systems. - Francisco C. Pereira; Constantinos Antoniou 001; Joan Aguilar Fargas; Moshe E. Ben-Akiva (IEEE Trans. Intell. Transp. Syst., 2014)

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

Quantifying mobility: pervasive technologies for transport modeling. - Fang Zhao; Ajinkya Ghorpade; Francisco C. Pereira; Chris Zegras; Moshe E. Ben-Akiva (UbiComp/ISWC Adjunct, 2015)

DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management. - Yang Lu; Ravi Seshadri; Francisco C. Pereira; Aidan O'Sullivan; Constantinos Antoniou 001; Moshe E. Ben-Akiva (ITSC, 2015)

Activity recognition for a smartphone and web based travel survey. - Youngsung Kim; Francisco C. Pereira; Fang Zhao; Ajinkya Ghorpade; Pericles Christopher Zegras; Moshe E. Ben-Akiva (CoRR, 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)

Mapping Social Media for Transportation Studies. - Emmanouil Chaniotakis; Constantinos Antoniou 001; Francisco C. Pereira (IEEE Intell. Syst., 2016)

Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach. - Aidan O'Sullivan; Francisco C. Pereira; Jinhua Zhao; Harilaos N. Koutsopoulos (IEEE Trans. Intell. Transp. Syst., 2016)

Enhancing resilience to disasters using social media. - Emmanouil Chaniotakis; Constantinos Antoniou 001; Francisco C. Pereira (MT-ITS, 2017)

Probabilistic modeling and visualization for bankruptcy prediction. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira (Appl. Soft Comput., 2017)

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)

Active Learning for Input Space Exploration in Traffic Simulators. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira (IJCNN, 2018)

Opening Up the Conversation: Topic Modeling for Automated Text Analysis in Travel Surveys. - Vishnu Baburajan; João de Abreu e Silva; Francisco Câmara Pereira (ITSC, 2018)

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

Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems. - Haizheng Zhang; Ravi Seshadri; A. Arun Prakash; Constantinos Antoniou 001; Francisco Câmara Pereira; Moshe E. Ben-Akiva (ITSC, 2018)

Scalable Population Synthesis with Deep Generative Modeling. - Stanislav S. Borysov; Jeppe Rich; Francisco C. Pereira (CoRR, 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)

Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System. - Youngsung Kim; Ajinkya Ghorpade; Fang Zhao; Francisco C. Pereira; Pericles Christopher Zegras; Moshe E. Ben-Akiva (IEEE Intell. Syst., 2018)

Efficient Transport Simulation With Restricted Batch-Mode Active Learning. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira; Rui Gomes (IEEE Trans. Intell. Transp. Syst., 2018)

The Nuts and Bolts of Conceptual Blending: Multidomain Concept Creation with Divago. - Pedro Martins 003; Francisco C. Pereira; F. Amílcar Cardoso (Computational Creativity, 2019)

Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. - Francisco Antunes; Francisco C. Pereira; Bernardete Ribeiro (INTSYS, 2019)

Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. - Inon Peled; Kelvin Lee; Yu Jiang 002; Justin Dauwels; Francisco C. Pereira (ITSC, 2019)

Real-Time Predictive Control Strategy Optimization. - Samarth Gupta; Ravi Seshadri; Bilge Atasoy; A. Arun Prakash; Francisco C. Pereira; Gary Tan; Moshe E. Ben-Akiva (CoRR, 2019)

Online Framework for Demand-Responsive Stochastic Route Optimization. - Inon Peled; Kelvin Lee; Yu Jiang 002; Justin Dauwels; Francisco C. Pereira (CoRR, 2019)

Rethinking travel behavior modeling representations through embeddings. - Francisco C. Pereira (CoRR, 2019)

Prediction of rare feature combinations in population synthesis: Application of deep generative modelling. - Sergio Garrido; Stanislav S. Borysov; Francisco C. Pereira; Jeppe Rich (CoRR, 2019)

Mining User Behaviour from Smartphone data, a literature review. - Valentino Servizi; Francisco C. Pereira; Marie Karen Anderson; Otto Anker Nielsen (CoRR, 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)

Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. - Francisco Antunes; Marco Amorim; Francisco C. Pereira; Bernardete Ribeiro (Simul. Model. Pract. Theory, 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)

Uncovering life-course patterns with causal discovery and survival analysis. - Bojan Kostic; Romain Crastes dit Sourd; Stephane Hess; Joachim Scheiner; Christian Holz-Rau; Francisco C. Pereira (CoRR, 2020)

A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability. - Yafei Han; Pericles Christopher Zegras; Francisco Câmara Pereira; Moshe E. Ben-Akiva (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)

Estimating Causal Effects with the Neural Autoregressive Density Estimator. - Sergio Garrido; Stanislav S. Borysov; Jeppe Rich; Francisco C. Pereira (CoRR, 2020)

Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. - Inon Peled; Kelvin Lee; Yu Jiang 002; Justin Dauwels; Francisco C. Pereira (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)

Choice modelling in the age of machine learning. - Sander van Cranenburgh; Shenhao Wang; Akshay Vij; Francisco Pereira 002; Joan Walker (CoRR, 2021)

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

Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment. - Haizheng Zhang; Ravi Seshadri; A. Arun Prakash; Constantinos Antoniou 001; Francisco C. Pereira; Moshe E. Ben-Akiva (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)

Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance. - Ioanna Arkoudi; Carlos Lima Azevedo; Francisco C. Pereira (CoRR, 2021)

Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis. - Vishnu Baburajan; João de Abreu e Silva; Francisco Câmara Pereira (IEEE Trans. Intell. Transp. Syst., 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)

Bayesian Active Learning with Fully Bayesian Gaussian Processes. - Christoffer Riis; Francisco Antunes; Frederik Boe Hüttel; Carlos Lima Azevedo; Francisco Pereira 002 (NeurIPS, 2022)

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

Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning. - Valentino Servizi; Dan Roland Persson; Francisco C. Pereira; Hannah Villadsen; Per Bækgaard; Jeppe Rich; Otto Anker Nielsen (CoRR, 2022)

Transfer learning for cross-modal demand prediction of bike-share and public transit. - Mingzhuang Hua; Francisco Câmara Pereira; Yu Jiang 002; Xuewu Chen (CoRR, 2022)

Open vs Closed-ended questions in attitudinal surveys - comparing, combining, and interpreting using natural language processing. - Vishnu Baburajan; João de Abreu e Silva; Francisco Câmara Pereira (CoRR, 2022)

QTIP: Quick simulation-based adaptation of traffic model per incident parameters. - Inon Peled; Raghuveer Kamalakar; Carlos Lima Azevedo; Francisco C. Pereira (J. Simulation, 2022)

Population synthesis for urban resident modeling using deep generative models. - Martin Johnsen; Oliver Brandt; Sergio Garrido; Francisco C. Pereira (Neural Comput. Appl., 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)

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)

Predicting Trip Activities and Modes Using Long Short-Term Memory Models and Geospatial Representations. - Ioanna Arkoudi; Atefeh Hemmati Golsefidi; Lorena Torres Lahoz; Francisco Câmara Pereira (ITSC, 2023)

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

Attitudes and Latent Class Choice Models using Machine learning. - Lorena Torres Lahoz; Francisco Câmara Pereira; Georges Sfeir; Ioanna Arkoudi; Mayara Moraes Monteiro; Carlos Lima Azevedo (CoRR, 2023)

Learning and Generalizing Polynomials in Simulation Metamodeling. - Jesper Hauch; Christoffer Riis; Francisco C. Pereira (CoRR, 2023)

Applied metamodelling for ATM performance simulations. - Christoffer Riis; Francisco N. Antunes; Tatjana Bolic; Gérald Gurtner; Andrew Cook; Carlos Lima Azevedo; Francisco Câmara Pereira (CoRR, 2023)

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

"Is Not the Truth the Truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys. - Valentino Servizi; Dan Roland Persson; Francisco Câmara Pereira; Hannah Villadsen; Per Bækgaard; Inon Peled; Otto Anker Nielsen (IEEE Trans. Intell. Transp. Syst., 2023)

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

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

Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen. - Miguel Costa 001; Morten W. Petersen; Arthur Vandervoort; Martin Drews; Karyn Morrissey; Francisco C. Pereira (CoRR, 2024)

A Foundational individual Mobility Prediction Model based on Open-Source Large Language Models. - Zhenlin Qin; Leizhen Wang; Francisco Câmara Pereira; Zhenlinag Ma (CoRR, 2025)

Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress. - Lorena Torres Lahoz; Carlos Lima Azevedo; Leonardo Ancora; Paulo Morgado; Zenia Kotval; Bruno Miranda; Francisco Câmara Pereira (CoRR, 2025)

Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making. - Arthur Vandervoort; Miguel Costa 001; Morten W. Petersen; Martin Drews; Sonja Haustein; Karyn Morrissey; Francisco C. Pereira (CoRR, 2025)

Bayesian Hierarchical Invariant Prediction. - Francisco Madaleno; Pernille Julie Viuff Sand; Francisco C. Pereira; Sergio Hernan Garrido Mejia (CoRR, 2025)

Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment. - Oskar Bohn Lassen; Serio Agriesti; Mohamed Eldafrawi; Daniele Gammelli; Guido Cantelmo; Guido Gentile; Francisco Câmara Pereira (CoRR, 2025)

Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance. - Xixi Wang; Miguel Costa; Jordanka Kovaceva; Shuai Wang; Francisco C. Pereira (CoRR, 2025)

Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques. - Amalie Roark; Serio Agriesti; Francisco Câmara Pereira; Guido Cantelmo (CoRR, 2025)