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ORCIDFrancisco C. Pereira
Francisco Câmara Pereira – Francisco Pereira 0002
Person information
- affiliation: Technical University of Denmark, Kongens Lyngby, Denmark
Other persons with the same name
- Francisco Pereira — disambiguation page
- Francisco Pereira 0001 — National Institute of Mental Health, Bethesda, MD, USA (and 3 more)
- Francisco Pereira 0003 — Nokia Bell Labs, Madrid, Spain
- Francisco Chamiça Pereira
![[0000-0002-6215-3569]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6215-3569")
(aka: Francisco Pereira 0004) — University of Lisbon, Instituto Superior Técnico, Portugal - Francisco Pereira 0005 — University of Bristol, UK
- Francisco Pereira 0006 (aka: Francisco José Dias Pereira) — Polytechnic Institute of Porto, School of Engineering, Portugal
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2020 – today
- 2026
[j37]Atefeh Hemmati Golsefidi, Frederik Boe Hüttel, Samitha Samaranayake, Francisco Câmara Pereira:
Using mobile charging stations as probes to discover latent EV charging demand in stochastic environments: A deep reinforcement learning approach. Expert Syst. Appl. 312: 131433 (2026)- [j36]Valentino Servizi, Dan Roland Persson, Francisco Câmara Pereira, Hannah Villadsen, Per Bækgaard, Jeppe Rich, Otto Anker Nielsen:
Scalable Passenger Detection Using Smartphone-Bus Implicit Interactions. IEEE Intell. Transp. Syst. Mag. 18(1): 65-78 (2026) - [i64]Miguel Costa, Arthur Vandervoort, Carolin Schmidt, Morten W. Petersen, Martin Drews, Karyn Morrissey, Francisco C. Pereira:
Learning long term climate-resilient transport adaptation pathways under direct and indirect flood impacts using reinforcement learning. CoRR abs/2601.18586 (2026) - [i63]Zhenlin Qin, Yancheng Ling, Leizhen Wang, Francisco Câmara Pereira, Zhenliang Ma:
SemaPop: Semantic-Persona Conditioned Population Synthesis. CoRR abs/2602.11569 (2026) - [i62]Miguel Costa, Arthur Vandervoort, Carolin Schmidt, João Miranda, Morten W. Petersen, Martin Drews, Karyn Morrisey, Francisco C. Pereira:
Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport. CoRR abs/2603.06278 (2026) - [i61]Serio Agriesti, Guido Cantelmo, Francisco Câmara Pereira:
Metalearning traffic assignment for network disruptions with graph convolutional neural networks. CoRR abs/2603.06763 (2026) - [i60]Francisco Madaleno, Francisco C. Pereira, Alex Markham:
Coarsening Linear Non-Gaussian Causal Models with Cycles. CoRR abs/2605.10163 (2026) - 2025
- [j35]Mingzhuang Hua, Francisco Câmara Pereira, Yu Jiang, Xuewu Chen, Junyi Chen:
Transfer learning for cross-modal demand prediction of bike-share and public transit. J. Intell. Transp. Syst. 29(6): 640-653 (2025) - [c60]Xixi Wang, Miguel Costa, Jordanka Kovaceva, Shuai Wang, Francisco C. Pereira:
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance. EMNLP (Findings) 2025: 5829-5842 - [c59]Oskar Bohn Lassen, Serio Agriesti, Mohamed Eldafrawi, Daniele Gammelli, Guido Cantelmo, Guido Gentile, Francisco Câmara Pereira:
Learning Traffic Flows: Graph Neural Networks for Metamodelling Traffic Assignment. MT-ITS 2025: 1-8 - [c58]Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco C. Pereira:
Bayesian Active Learning for Censored Regression. ECML/PKDD (2) 2025: 36-51 - [i59]Zhenlin Qin, Leizhen Wang, Francisco Câmara Pereira, Zhenlinag Ma:
A Foundational individual Mobility Prediction Model based on Open-Source Large Language Models. CoRR abs/2503.16553 (2025) - [i58]Lorena Torres Lahoz, Carlos Lima Azevedo, Leonardo Ancora, Paulo Morgado, Zenia Kotval, Bruno Miranda, Francisco Câmara Pereira:
Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress. CoRR abs/2504.02905 (2025) - [i57]Arthur Vandervoort, Miguel Costa, Morten W. Petersen, Martin Drews, Sonja Haustein, Karyn Morrissey, Francisco C. Pereira:
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making. CoRR abs/2504.10031 (2025) - [i56]Francisco Madaleno, Pernille Julie Viuff Sand, Francisco C. Pereira, Sergio Hernan Garrido Mejia:
Bayesian Hierarchical Invariant Prediction. CoRR abs/2505.11211 (2025) - [i55]Oskar Bohn Lassen, Serio Agriesti, Mohamed Eldafrawi, Daniele Gammelli, Guido Cantelmo, Guido Gentile, Francisco Câmara Pereira:
Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment. CoRR abs/2505.11230 (2025) - [i54]Xixi Wang, Miguel Costa, Jordanka Kovaceva, Shuai Wang, Francisco C. Pereira:
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance. CoRR abs/2506.04427 (2025) - [i53]Amalie Roark, Serio Agriesti, Francisco Câmara Pereira, Guido Cantelmo:
Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques. CoRR abs/2508.14137 (2025) - [i52]Oskar Bohn Lassen, Serio Agriesti, Filipe Rodrigues, Francisco Câmara Pereira:
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM. CoRR abs/2510.07971 (2025) - [i51]Xixi Wang, Jordanka Kovaceva, Miguel Costa, Shuai Wang, Francisco Câmara Pereira, Robert Thomson:
Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives. CoRR abs/2510.09434 (2025) - [i50]Miguel Costa, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira:
Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning. CoRR abs/2511.03238 (2025) - [i49]Miguel Costa, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira:
Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways. CoRR abs/2511.03243 (2025) - 2024
- [c57]Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues:
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. ECC 2024: 1399-1406 - [i48]Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco Câmara Pereira:
Bayesian Active Learning for Censored Regression. CoRR abs/2402.11973 (2024) - [i47]Miguel Costa, Morten W. Petersen, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira:
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen. CoRR abs/2409.18574 (2024) - 2023
- [j34]Valentino Servizi, Dan Roland Persson, Francisco Câmara 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. IEEE Trans. Intell. Transp. Syst. 24(11): 11905-11920 (2023) - [c56]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: 10587-10610 - [c55]Ioanna Arkoudi, Atefeh Hemmati Golsefidi, Lorena Torres Lahoz, Francisco Câmara Pereira:
Predicting Trip Activities and Modes Using Long Short-Term Memory Models and Geospatial Representations. ITSC 2023: 29-35 - [c54]Niklas Petersen, Filipe Rodrigues, Francisco C. Pereira:
Representation Learning of Rare Temporal Conditions for Travel Time Prediction. ITSC 2023: 4919-4926 - [c53]Mathias Niemann Tygesen, Mayank Sharan, Francisco C. Pereira, Filipe Rodrigues, Rose Yu:
Incident congestion propagation prediction using incident reports. SuMob@SIGSPATIAL 2023: 33-42 - [i46]Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira:
Mind the Gap - Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand. CoRR abs/2301.06418 (2023) - [i45]Lorena Torres Lahoz, Francisco Câmara Pereira, Georges Sfeir, Ioanna Arkoudi, Mayara Moraes Monteiro, Carlos Lima Azevedo:
Attitudes and Latent Class Choice Models using Machine learning. CoRR abs/2302.09871 (2023) - [i44]Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues:
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. CoRR abs/2302.14833 (2023) - [i43]Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira:
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. CoRR abs/2305.09129 (2023) - [i42]Jesper Hauch, Christoffer Riis, Francisco C. Pereira:
Learning and Generalizing Polynomials in Simulation Metamodeling. CoRR abs/2307.10892 (2023) - [i41]Christoffer Riis, Francisco N. Antunes, Tatjana Bolic, Gérald Gurtner, Andrew Cook, Carlos Lima Azevedo, Francisco Câmara Pereira:
Applied metamodelling for ATM performance simulations. CoRR abs/2308.03404 (2023) - [i40]Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira:
Deep Evidential Learning for Bayesian Quantile Regression. CoRR abs/2308.10650 (2023) - 2022
- [j33]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): 111-131 (2022) - [j32]Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira:
Population synthesis for urban resident modeling using deep generative models. Neural Comput. Appl. 34(6): 4677-4692 (2022) - [j31]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): 3126-3136 (2022) - [j30]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): 21753-21765 (2022) - [c52]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: 2913-2923 - [c51]Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Pereira:
Bayesian Active Learning with Fully Bayesian Gaussian Processes. NeurIPS 2022 - [i39]Mathias Niemann Tygesen, Francisco C. Pereira, Filipe Rodrigues:
Unboxing the graph: Neural Relational Inference for Mobility Prediction. CoRR abs/2201.10307 (2022) - [i38]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. CoRR abs/2202.07147 (2022) - [i37]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 abs/2202.11961 (2022) - [i36]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 abs/2202.11962 (2022) - [i35]Mingzhuang Hua, Francisco Câmara Pereira, Yu Jiang, Xuewu Chen:
Transfer learning for cross-modal demand prediction of bike-share and public transit. CoRR abs/2203.09279 (2022) - [i34]Vishnu Baburajan, João de Abreu e Silva, Francisco Câmara Pereira:
Open vs Closed-ended questions in attitudinal surveys - comparing, combining, and interpreting using natural language processing. CoRR abs/2205.01317 (2022) - [i33]Christoffer Riis, Francisco N. Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira:
Bayesian Active Learning with Fully Bayesian Gaussian Processes. CoRR abs/2205.10186 (2022) - [i32]Niklas Petersen, Filipe Rodrigues, Francisco Pereira:
Representation learning of rare temporal conditions for travel time prediction. CoRR abs/2208.04667 (2022) - 2021
- [j29]Vishnu Baburajan, João de Abreu e Silva, Francisco Câmara Pereira:
Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis. IEEE Trans. Intell. Transp. Syst. 22(4): 2123-2132 (2021) - [c50]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: 2996-3003 - [i31]Sander van Cranenburgh, Shenhao Wang, Akshay Vij, Francisco Pereira, Joan Walker:
Choice modelling in the age of machine learning. CoRR abs/2101.11948 (2021) - [i30]Inon Peled, Filipe Rodrigues, Francisco C. Pereira:
Modeling Censored Mobility Demand through Quantile Regression Neural Networks. CoRR abs/2104.01214 (2021) - [i29]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 abs/2104.11434 (2021) - [i28]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 abs/2105.14716 (2021) - [i27]Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira:
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand. CoRR abs/2106.10940 (2021) - [i26]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 abs/2108.00858 (2021) - [i25]Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira:
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance. CoRR abs/2109.12042 (2021) - 2020
- [j28]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): 641-652 (2020) - [j27]Filipe Rodrigues, Francisco C. Pereira:
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5377-5389 (2020) - [i24]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 abs/2001.07402 (2020) - [i23]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 abs/2001.11399 (2020) - [i22]Yafei Han, Pericles Christopher Zegras, Francisco Câmara Pereira, Moshe E. Ben-Akiva:
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability. CoRR abs/2002.00922 (2020) - [i21]Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira:
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters. CoRR abs/2003.04109 (2020) - [i20]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 abs/2007.02739 (2020) - [i19]Sergio Garrido, Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira:
Estimating Causal Effects with the Neural Autoregressive Density Estimator. CoRR abs/2008.07283 (2020) - [i18]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 abs/2008.13443 (2020) - [i17]Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira:
Population synthesis for urban resident modeling using deep generative models. CoRR abs/2011.06851 (2020)
2010 – 2019
- 2019
- [j26]Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira:
Multi-output bus travel time prediction with convolutional LSTM neural network. Expert Syst. Appl. 120: 426-435 (2019) - [j25]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: 120-129 (2019) - [j24]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) - [j23]Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira:
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. 20(2): 594-603 (2019) - [c49]Francisco Antunes, Francisco C. Pereira, Bernardete Ribeiro:
Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. INTSYS 2019: 32-46 - [c48]Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira:
Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. ITSC 2019: 3043-3048 - [p3]Pedro Martins, Francisco C. Pereira, F. Amílcar Cardoso:
The Nuts and Bolts of Conceptual Blending: Multidomain Concept Creation with Divago. Computational Creativity 2019: 91-119 - [i16]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 abs/1901.04571 (2019) - [i15]Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira:
Online Framework for Demand-Responsive Stochastic Route Optimization. CoRR abs/1902.09745 (2019) - [i14]Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira:
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network. CoRR abs/1903.02791 (2019) - [i13]Filipe Rodrigues, Nicola Ortelli, Michel Bierlaire, Francisco C. Pereira:
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. CoRR abs/1906.03855 (2019) - [i12]Francisco C. Pereira:
Rethinking travel behavior modeling representations through embeddings. CoRR abs/1909.00154 (2019) - [i11]Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira, Jeppe Rich:
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling. CoRR abs/1909.07689 (2019) - [i10]Valentino Servizi, Francisco C. Pereira, Marie Karen Anderson, Otto Anker Nielsen:
Mining User Behaviour from Smartphone data, a literature review. CoRR abs/1912.11259 (2019) - 2018
- [j22]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): 5-23 (2018) - [j21]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): 3642-3651 (2018) - [c47]Filipe Rodrigues, Francisco C. Pereira:
Deep Learning from Crowds. AAAI 2018: 1611-1618 - [c46]Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira:
Active Learning for Input Space Exploration in Traffic Simulators. IJCNN 2018: 1-8 - [c45]Ioulia Markou, Filipe Rodrigues, Francisco C. Pereira:
Real-Time Taxi Demand Prediction using data from the web. ITSC 2018: 1664-1671 - [c44]Haizheng Zhang, Ravi Seshadri, A. Arun Prakash, Constantinos Antoniou, Francisco Câmara Pereira, Moshe E. Ben-Akiva:
Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems. ITSC 2018: 1745-1750 - [c43]Vishnu Baburajan, João de Abreu e Silva, Francisco Câmara Pereira:
Opening Up the Conversation: Topic Modeling for Automated Text Analysis in Travel Surveys. ITSC 2018: 3657-3661 - [i9]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 abs/1808.05535 (2018) - [i8]Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira:
Learning Supervised Topic Models for Classification and Regression from Crowds. CoRR abs/1808.05902 (2018) - [i7]Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira:
Scalable Population Synthesis with Deep Generative Modeling. CoRR abs/1808.06910 (2018) - [i6]Filipe Rodrigues, Francisco C. Pereira:
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems. CoRR abs/1808.08798 (2018) - [i5]Filipe Rodrigues, Francisco C. Pereira:
Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data. CoRR abs/1812.08733 (2018) - [i4]Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira:
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. CoRR abs/1812.08739 (2018) - [i3]Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira:
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. CoRR abs/1812.08755 (2018) - 2017
- [j20]Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira:
Probabilistic modeling and visualization for bankruptcy prediction. Appl. Soft Comput. 60: 831-843 (2017) - [j19]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): 2113-2126 (2017) - [j18]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): 2409-2422 (2017) - [c42]Emmanouil Chaniotakis, Constantinos Antoniou, Francisco C. Pereira:
Enhancing resilience to disasters using social media. MT-ITS 2017: 699-703 - [i2]Filipe Rodrigues, Francisco C. Pereira:
Deep learning from crowds. CoRR abs/1709.01779 (2017) - 2016
- [j17]Emmanouil Chaniotakis, Constantinos Antoniou, Francisco C. Pereira:
Mapping Social Media for Transportation Studies. IEEE Intell. Syst. 31(6): 64-70 (2016) - [j16]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): 3286-3296 (2016) - [c41]Stanislav Borysov, Mariana Lourenço, Filipe Rodrigues, Alexander Balatsky, Francisco C. Pereira:
Using internet search queries to predict human mobility in social events. ITSC 2016: 1342-1347 - 2015
- [j15]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): 273-288 (2015) - [j14]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): 1370-1379 (2015) - [j13]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: 36-46 (2015) - [c40]Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira:
Learning Supervised Topic Models from Crowds. HCOMP 2015: 160-168 - [c39]Fang Zhao, Ajinkya Ghorpade, Francisco C. Pereira, Chris Zegras, Moshe E. Ben-Akiva:
Quantifying mobility: pervasive technologies for transport modeling. UbiComp/ISWC Adjunct 2015: 1039-1044 - [c38]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: 2250-2255 - [e1]Francisco C. Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso:
Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings. Lecture Notes in Computer Science 9273, Springer 2015, ISBN 978-3-319-23484-7 [contents] - [i1]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 abs/1502.03634 (2015) - 2014
- [j12]Francisco C. Pereira, Ana L. C. Bazzan, Moshe E. Ben-Akiva:
The Role of Context in Transport Prediction. IEEE Intell. Syst. 29(1): 76-80 (2014) - [j11]António Leitão, Adriano Vinhas, Penousal Machado, Francisco Câmara Pereira:
A Genetic Algorithms Approach for Inverse Shortest Path Length Problems. Int. J. Nat. Comput. Res. 4(4): 36-54 (2014) - [j10]Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro:
Sequence labeling with multiple annotators. Mach. Learn. 95(2): 165-181 (2014) - [j9]Bin Guo, Zhiwen Yu, Francisco Câmara Pereira:
An introduction to the special issue on cross-community mining. Pers. Ubiquitous Comput. 18(2): 351-353 (2014) - [j8]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): 1310-1322 (2014) - [c37]Kalan Nawarathne, Fang Zhao, Francisco C. Pereira, Jun Luo:
Dead reckoning on smartphones to reduce GPS usage. ICARCV 2014: 529-534 - [c36]Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro:
Gaussian Process Classification and Active Learning with Multiple Annotators. ICML 2014: 433-441 - [c35]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: 432-437 - 2013
- [j7]Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro:
Learning from multiple annotators: Distinguishing good from random labelers. Pattern Recognit. Lett. 34(12): 1428-1436 (2013) - [c34]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: 74:1-74:2 - 2012
- [c33]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: 60-61 - 2011
- [j6]Oliver Amft, Richard Medland, Marcus Foth, Petromil Petkov, Joana M. Abreu, Francisco Câmara Pereira, Philip M. Johnson, Robert S. Brewer, James Pierce, Eric Paulos:
Smart Energy Systems. IEEE Pervasive Comput. 10(1): 63-65 (2011) - [c32]Ana Oliveira Alves, Filipe Rodrigues, Francisco C. Pereira:
Tagging Space from Information Extraction and Popularity of Points of Interest. AmI 2011: 115-125 - 2010
- [c31]Ana Oliveira Alves, Francisco C. Pereira, Filipe Rodrigues, João Oliveirinha:
Place in Perspective: Extracting Online Information about Points of Interest. AmI 2010: 61-72 - [c30]João Oliveirinha, Francisco C. Pereira, Ana Alves:
Acquiring semantic context for events from online resources. LocWeb 2010: 8 - [c29]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: 22-37
2000 – 2009
- 2009
- [j5]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): 19-30 (2009) - [c28]Ana Oliveira Alves, Francisco C. Pereira, Assaf Biderman, Carlo Ratti:
Place Enrichment by Mining the Web. AmI 2009: 66-77 - [c27]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: 1-6 - [c26]Francisco C. Pereira, Ana Alves, João Oliveirinha, Assaf Biderman:
Perspectives on Semantics of the Place from Online Resources. ICSC 2009: 215-220 - [c25]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 - 2008
- [c24]Bruno Antunes, Ana Alves, Francisco C. Pereira:
Semantics of Place: Ontology Enrichment. IBERAMIA 2008: 342-351 - 2007
- [c23]Ana Alves, Raquel Hervás, Francisco C. Pereira, Pablo Gervás, Carlos Bento:
Conceptual Enrichment of Locations Pointed Out by the User. KES (1) 2007: 346-353 - [c22]Raquel Hervás, Rui Ponte Costa, Hugo Costa, Pablo Gervás, Francisco C. Pereira:
Enrichment of Automatically Generated Texts Using Metaphor. MICAI 2007: 944-954 - 2006
- [j4]Francisco C. Pereira, Amílcar Cardoso:
Experiments with free concept generation in Divago. Knowl. Based Syst. 19(7): 459-470 (2006) - [j3]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): 480-488 (2006) - [j2]Raquel Hervás, Francisco C. Pereira, Pablo Gervás, Amílcar Cardoso:
A Text Generation System that Uses Simple Rhetorical Figures. Proces. del Leng. Natural 37 (2006) - [p2]Paulo Gomes, Nuno Seco, Francisco C. Pereira, Paulo Paiva, Paulo Carreiro, José Luís Ferreira, Carlos Bento:
An Approach to Software Design Reuse Using Case-Based Reasoning and WordNet. Integrated Intelligent Systems for Engineering Design 2006: 119-134 - 2004
- [j1]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): 13-23 (2004) - [c21]Nuno Seco, Paulo Gomes, Francisco C. Pereira:
Using CBR for Semantic Analysis of Software Specifications. ECCBR 2004: 778-792 - [c20]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: 678-686 - [c19]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: 31-42 - [c18]Nuno Seco, Paulo Gomes, Francisco C. Pereira:
Modelling Software Specifications with Case Based Reasoning. NLUCS 2004: 135-144 - [c17]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: 258-263 - 2003
- [c16]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. AI 2003: 537-543 - [c15]Paulo Ribeiro, Francisco C. Pereira, Bruno F. Marques, Bruno Leitão, Amílcar Cardoso:
A Model for Creativity in Creature Generation. GAME-ON 2003: 175- - [c14]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: 171-185 - [c13]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: 186-200 - [c12]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: 289-296 - [c11]Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento:
Case-Based Reuse of UML Diagrams. SEKE 2003: 335-339 - 2002
- [c10]Paulo Gomes, Francisco C. Pereira, Nuno Seco, Paulo Paiva, Paulo Carreiro, José Luís Ferreira, Carlos Bento:
Combining Case-Based Reasoning and Analogical Reasoning in Software Design. AICS 2002: 183-189 - [c9]Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento:
Case Retrieval of Software Designs using WordNet. ECAI 2002: 245-249 - [c8]Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento:
Experiments on Case-Based Retrieval of Software Designs. ECCBR 2002: 118-132 - [c7]Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento:
Using CBR for Automation of Software Design Patterns. ECCBR 2002: 534-548 - 2001
- [p1]Amílcar Cardoso, Ernesto Costa, Penousal Machado, Francisco C. Pereira, Paulo Gomes:
An Architecture for Hybrid Creative Reasoning. Soft Computing in Case Based Reasoning 2001: 147-177 - 2000
- [c6]Francisco C. Pereira, Amílcar Cardoso:
Clouds: A Module for Automatic Learning of Concept Maps. Diagrams 2000: 468-470
1990 – 1999
- 1998
- [c5]Francisco C. Pereira:
Modelling Divergent Production: A multi-domain approach. ECAI 1998: 131-132 - [c4]Francisco C. Pereira, Penousal Machado, Amílcar Cardoso:
Darwinci: Creating Bridges to Creativity. SBIA 1998: 239-248 - 1997
- [c3]Luís Macedo, Francisco C. Pereira, Carlos Grilo, Amílcar Cardoso:
Experimental Study of a Similarity Metric for Retrieving Pieces from Structured Plan Cases: Its Role in the Originality of Plan Case Solutions. ICCBR 1997: 575-586 - [c2]Francisco C. Pereira, Carlos Grilo, Luís Macedo, Amílcar Cardoso:
A Structured Framework for Representing Time in a Generative Composition System. TIME 1997: 168-174 - 1996
- [c1]Luís Macedo, Francisco C. Pereira, Carlos Grilo, Amílcar Cardoso:
Plans as Structured Networks of Hierarchically and Temporally Related Case Pieces. EWCBR 1996: 234-248
Coauthor Index
[c58] [i52] [c57] [i48] [c56] [c54] [c53] [i46] [i44] [i43] [i40] [j31] [j30] [c52] [i39] [i38] [i32] [c50] [i30] [i29] [i27] [i26] [j28] [j27] [i24] [i20] [j26] [j25] [j23] [i14] [i13] [c47] [c45] [i9] [i8] [i6] [i5] [i4] [i3] [j19] [j18] [i2] [c41] [j15] [j14] [j13] [c40] [j10] [c36] [j7] [c32] [c31]
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