Francisco C. Pereira

125 papers A* 4A 2B 4C 9Misc 3Journal 67Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport. CoRR Miguel Costa, Arthur Vandervoort, Carolin Schmidt, João Miranda, Morten W. Petersen, Martin Drews, Karyn Morrisey, Francisco C. Pereira
2026	J	`jnl`	Learning long term climate-resilient transport adaptation pathways under direct and indirect flood impacts using reinforcement learning. CoRR Miguel Costa, Arthur Vandervoort, Carolin Schmidt, Morten W. Petersen, Martin Drews, Karyn Morrissey, Francisco C. Pereira
2025	—	`conf`	Bayesian Active Learning for Censored Regression. ECML/PKDD (2) Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco C. Pereira
2025	J	`jnl`	Bayesian Hierarchical Invariant Prediction. CoRR Francisco Madaleno, Pernille Julie Viuff Sand, Francisco C. Pereira, Sergio Hernan Garrido Mejia
2025	J	`jnl`	Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways. CoRR Miguel Costa, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira
2025	J	`jnl`	Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning. CoRR Miguel Costa, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira
2025	—	`conf`	Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance. EMNLP (Findings) Xixi Wang, Miguel Costa, Jordanka Kovaceva, Shuai Wang, Francisco C. Pereira
2025	J	`jnl`	Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance. CoRR Xixi Wang, Miguel Costa, Jordanka Kovaceva, Shuai Wang, Francisco C. Pereira
2025	J	`jnl`	Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making. CoRR Arthur Vandervoort, Miguel Costa, Morten W. Petersen, Martin Drews, Sonja Haustein, Karyn Morrissey, Francisco C. Pereira
2024	J	`jnl`	Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen. CoRR Miguel Costa, Morten W. Petersen, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira
2023	A*	`conf`	Graph Reinforcement Learning for Network Control via Bi-Level Optimization. ICML Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
2023	J	`jnl`	Graph Reinforcement Learning for Network Control via Bi-Level Optimization. CoRR Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
2023	—	`conf`	Incident congestion propagation prediction using incident reports. SuMob@SIGSPATIAL Mathias Niemann Tygesen, Mayank Sharan, Francisco C. Pereira, Filipe Rodrigues, Rose Yu
2023	J	`jnl`	Learning and Generalizing Polynomials in Simulation Metamodeling. CoRR Jesper Hauch, Christoffer Riis, Francisco C. Pereira
2023	—	`conf`	Representation Learning of Rare Temporal Conditions for Travel Time Prediction. ITSC Niklas Petersen, Filipe Rodrigues, Francisco C. Pereira
2022	J	`jnl`	"Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys. CoRR Valentino Servizi, Dan Roland Persson, Francisco C. Pereira, Hannah Villadsen, Per Bækgaard, Inon Peled, Otto Anker Nielsen
2022	A*	`conf`	Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. KDD Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2022	J	`jnl`	Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. CoRR Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2022	J	`jnl`	Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning. CoRR Valentino Servizi, Dan Roland Persson, Francisco C. Pereira, Hannah Villadsen, Per Bækgaard, Jeppe Rich, Otto Anker Nielsen
2022	J	`jnl`	Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks. IEEE Trans. Intell. Transp. Syst. Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
2022	J	`jnl`	Population synthesis for urban resident modeling using deep generative models. Neural Comput. Appl. Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira
2022	J	`jnl`	QTIP: Quick simulation-based adaptation of traffic model per incident parameters. J. Simulation Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira
2022	J	`jnl`	Unboxing the graph: Neural Relational Inference for Mobility Prediction. CoRR Mathias Niemann Tygesen, Francisco C. Pereira, Filipe Rodrigues
2021	J	`jnl`	Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance. CoRR Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira
2021	J	`jnl`	Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand. CoRR Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
2021	—	`conf`	Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CDC Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2021	J	`jnl`	Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CoRR Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
2021	J	`jnl`	Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment. CoRR Haizheng Zhang, Ravi Seshadri, A. Arun Prakash, Constantinos Antoniou, Francisco C. Pereira, Moshe E. Ben-Akiva
2021	J	`jnl`	Modeling Censored Mobility Demand through Quantile Regression Neural Networks. CoRR Inon Peled, Filipe Rodrigues, Francisco C. Pereira
2020	J	`jnl`	Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems. IEEE Trans. Neural Networks Learn. Syst. Filipe Rodrigues, Francisco C. Pereira
2020	J	`jnl`	Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. CoRR Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
2020	J	`jnl`	Estimating Causal Effects with the Neural Autoregressive Density Estimator. CoRR Sergio Garrido, Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira
2020	J	`jnl`	Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes. CoRR Daniele Gammelli, Inon Peled, Filipe Rodrigues, Dario Pacino, Haci A. Kurtaran, Francisco C. Pereira
2020	J	`jnl`	Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information. IEEE Trans. Intell. Transp. Syst. Ioulia Markou, Filipe Rodrigues, Francisco C. Pereira
2020	J	`jnl`	Population synthesis for urban resident modeling using deep generative models. CoRR Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira
2020	J	`jnl`	QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters. CoRR Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira
2020	J	`jnl`	Uncovering life-course patterns with causal discovery and survival analysis. CoRR Bojan Kostic, Romain Crastes dit Sourd, Stephane Hess, Joachim Scheiner, Christian Holz-Rau, Francisco C. Pereira
2019	J	`jnl`	Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. Simul. Model. Pract. Theory Francisco Antunes, Marco Amorim, Francisco C. Pereira, Bernardete Ribeiro
2019	J	`jnl`	Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. CoRR Filipe Rodrigues, Nicola Ortelli, Michel Bierlaire, Francisco C. Pereira
2019	J	`jnl`	Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach. Inf. Fusion Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira
2019	—	`conf`	Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. INTSYS Francisco Antunes, Francisco C. Pereira, Bernardete Ribeiro
2019	J	`jnl`	Mining User Behaviour from Smartphone data, a literature review. CoRR Valentino Servizi, Francisco C. Pereira, Marie Karen Anderson, Otto Anker Nielsen
2019	J	`jnl`	Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira
2019	J	`jnl`	Online Framework for Demand-Responsive Stochastic Route Optimization. CoRR Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
2019	J	`jnl`	Prediction of rare feature combinations in population synthesis: Application of deep generative modelling. CoRR Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira, Jeppe Rich
2019	—	`conf`	Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. ITSC Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
2019	J	`jnl`	Real-Time Predictive Control Strategy Optimization. CoRR Samarth Gupta, Ravi Seshadri, Bilge Atasoy, A. Arun Prakash, Francisco C. Pereira, Gary Tan, Moshe E. Ben-Akiva
2019	J	`jnl`	Rethinking travel behavior modeling representations through embeddings. CoRR Francisco C. Pereira
2019	—	`ch.`	The Nuts and Bolts of Conceptual Blending: Multidomain Concept Creation with Divago. Computational Creativity Pedro Martins, Francisco C. Pereira, F. Amílcar Cardoso
2018	J	`jnl`	A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. CoRR Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira
2018	B	`conf`	Active Learning for Input Space Exploration in Traffic Simulators. IJCNN Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
2018	J	`jnl`	Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System. IEEE Intell. Syst. Youngsung Kim, Ajinkya Ghorpade, Fang Zhao, Francisco C. Pereira, Pericles Christopher Zegras, Moshe E. Ben-Akiva
2018	J	`jnl`	Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems. CoRR Filipe Rodrigues, Francisco C. Pereira
2018	J	`jnl`	Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach. CoRR Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira
2018	A*	`conf`	Deep Learning from Crowds. AAAI Filipe Rodrigues, Francisco C. Pereira
2018	J	`jnl`	Efficient Transport Simulation With Restricted Batch-Mode Active Learning. IEEE Trans. Intell. Transp. Syst. Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira, Rui Gomes
2018	J	`jnl`	Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data. CoRR Filipe Rodrigues, Francisco C. Pereira
2018	J	`jnl`	Learning Supervised Topic Models for Classification and Regression from Crowds. CoRR Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
2018	J	`jnl`	Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. CoRR Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira
2018	—	`conf`	Real-Time Taxi Demand Prediction using data from the web. ITSC Ioulia Markou, Filipe Rodrigues, Francisco C. Pereira
2018	J	`jnl`	Scalable Population Synthesis with Deep Generative Modeling. CoRR Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira
2017	J	`jnl`	A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. IEEE Trans. Pattern Anal. Mach. Intell. Filipe Rodrigues, Stanislav Borysov, Bernardete Ribeiro, Francisco C. Pereira
2017	J	`jnl`	Deep learning from crowds. CoRR Filipe Rodrigues, Francisco C. Pereira
2017	—	`conf`	Enhancing resilience to disasters using social media. MT-ITS Emmanouil Chaniotakis, Constantinos Antoniou, Francisco C. Pereira
2017	J	`jnl`	Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Trans. Pattern Anal. Mach. Intell. Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
2017	J	`jnl`	Probabilistic modeling and visualization for bankruptcy prediction. Appl. Soft Comput. Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
2016	J	`jnl`	Mapping Social Media for Transportation Studies. IEEE Intell. Syst. Emmanouil Chaniotakis, Constantinos Antoniou, Francisco C. Pereira
2016	J	`jnl`	Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach. IEEE Trans. Intell. Transp. Syst. Aidan O'Sullivan, Francisco C. Pereira, Jinhua Zhao, Harilaos N. Koutsopoulos
2016	—	`conf`	Using internet search queries to predict human mobility in social events. ITSC Stanislav Borysov, Mariana Lourenço, Filipe Rodrigues, Alexander Balatsky, Francisco C. Pereira
2015	J	`jnl`	Activity recognition for a smartphone and web based travel survey. CoRR Youngsung Kim, Francisco C. Pereira, Fang Zhao, Ajinkya Ghorpade, Pericles Christopher Zegras, Moshe E. Ben-Akiva
2015	—	`conf`	DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management. ITSC Yang Lu, Ravi Seshadri, Francisco C. Pereira, Aidan O'Sullivan, Constantinos Antoniou, Moshe E. Ben-Akiva
2015	B	`conf`	Learning Supervised Topic Models from Crowds. HCOMP Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira
2015	J	`jnl`	Mining point-of-interest data from social networks for urban land use classification and disaggregation. Comput. Environ. Urban Syst. Shan Jiang, Ana Alves, Filipe Rodrigues, Joseph Ferreira Jr., Francisco C. Pereira
2015	Misc	`ed.`	Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings EPIA Francisco C. Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso
2015	—	`conf`	Quantifying mobility: pervasive technologies for transport modeling. UbiComp/ISWC Adjunct Fang Zhao, Ajinkya Ghorpade, Francisco C. Pereira, Chris Zegras, Moshe E. Ben-Akiva
2015	J	`jnl`	Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios. J. Intell. Transp. Syst. Francisco C. Pereira, Filipe Rodrigues, Moshe E. Ben-Akiva
2015	J	`jnl`	Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data. IEEE Trans. Intell. Transp. Syst. Francisco C. Pereira, Filipe Rodrigues, Evgheni Polisciuc, Moshe E. Ben-Akiva
2014	J	`jnl`	A Metamodel for Estimating Error Bounds in Real-Time Traffic Prediction Systems. IEEE Trans. Intell. Transp. Syst. Francisco C. Pereira, Constantinos Antoniou, Joan Aguilar Fargas, Moshe E. Ben-Akiva
2014	B	`conf`	Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data. ICPR Youngsung Kim, Francisco C. Pereira, Fang Zhao, Ajinkya Ghorpade, Pericles Christopher Zegras, Moshe E. Ben-Akiva
2014	C	`conf`	Dead reckoning on smartphones to reduce GPS usage. ICARCV Kalan Nawarathne, Fang Zhao, Francisco C. Pereira, Jun Luo
2014	A*	`conf`	Gaussian Process Classification and Active Learning with Multiple Annotators. ICML Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2014	J	`jnl`	Sequence labeling with multiple annotators. Mach. Learn. Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2014	J	`jnl`	The Role of Context in Transport Prediction. IEEE Intell. Syst. Francisco C. Pereira, Ana L. C. Bazzan, Moshe E. Ben-Akiva
2013	Misc	`conf`	A user-centric mobility sensing system for transportation activity surveys. SenSys Fang-Jing Wu, Hock Beng Lim, Francisco C. Pereira, Chris Zegras, Moshe E. Ben-Akiva
2013	J	`jnl`	Learning from multiple annotators: Distinguishing good from random labelers. Pattern Recognit. Lett. Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2012	—	`conf`	Transportation activity analysis using smartphones. CCNC 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
2011	—	`conf`	Tagging Space from Information Extraction and Popularity of Points of Interest. AmI Ana Oliveira Alves, Filipe Rodrigues, Francisco C. Pereira
2010	—	`conf`	Acquiring semantic context for events from online resources. LocWeb João Oliveirinha, Francisco C. Pereira, Ana Alves
2010	—	`conf`	Place in Perspective: Extracting Online Information about Points of Interest. AmI Ana Oliveira Alves, Francisco C. Pereira, Filipe Rodrigues, João Oliveirinha
2010	—	`conf`	The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events. Pervasive Francesco Calabrese, Francisco C. Pereira, Giusy Di Lorenzo, Liu Liang, Carlo Ratti
2009	—	`conf`	A holistic framework for the study of urban traces and the profiling of urban processes and dynamics. ITSC Andrea Vaccari, Liang Liu, Assaf Biderman, Carlo Ratti, Francisco C. Pereira, João Oliveirinha, Alexandre Gerber
2009	—	`conf`	An Affective Intelligent Driving Agent: Driver's Trajectory and Activities Prediction. VTC Fall Giusy Di Lorenzo, Fabio Pinelli, Francisco C. Pereira, Assaf Biderman, Carlo Ratti, Charles Lee, Chuuhee Lee
2009	—	`conf`	Perspectives on Semantics of the Place from Online Resources. ICSC Francisco C. Pereira, Ana Alves, João Oliveirinha, Assaf Biderman
2009	—	`conf`	Place Enrichment by Mining the Web. AmI Ana Oliveira Alves, Francisco C. Pereira, Assaf Biderman, Carlo Ratti
2009	J	`jnl`	Semantic enrichment of places: Ontology learning from web. Int. J. Knowl. Based Intell. Eng. Syst. Ana Alves, Bruno Antunes, Francisco C. Pereira, Carlos Bento
2008	—	`conf`	Semantics of Place: Ontology Enrichment. IBERAMIA Bruno Antunes, Ana Alves, Francisco C. Pereira
2007	—	`conf`	Conceptual Enrichment of Locations Pointed Out by the User. KES (1) Ana Alves, Raquel Hervás, Francisco C. Pereira, Pablo Gervás, Carlos Bento
2007	—	`conf`	Enrichment of Automatically Generated Texts Using Metaphor. MICAI Raquel Hervás, Rui Ponte Costa, Hugo Costa, Pablo Gervás, Francisco C. Pereira
2006	J	`jnl`	A Text Generation System that Uses Simple Rhetorical Figures. Proces. del Leng. Natural Raquel Hervás, Francisco C. Pereira, Pablo Gervás, Amílcar Cardoso
2006	—	`ch.`	An Approach to Software Design Reuse Using Case-Based Reasoning and WordNet. Integrated Intelligent Systems for Engineering Design Paulo Gomes, Nuno Seco, Francisco C. Pereira, Paulo Paiva, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2006	J	`jnl`	Experiments with free concept generation in Divago. Knowl. Based Syst. Francisco C. Pereira, Amílcar Cardoso
2006	J	`jnl`	The importance of retrieval in creative design analogies. Knowl. Based Syst. Paulo Gomes, Nuno Seco, Francisco C. Pereira, Paulo Paiva, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2004	B	`conf`	Case-Based Adaptation for UML Diagram Reuse. KES Paulo Gomes, Francisco C. Pereira, Paulo Carreiro, Paulo Paiva, Nuno Seco, José Luís Ferreira, Carlos Bento
2004	—	`conf`	Modelling Software Specifications with Case Based Reasoning. NLUCS Nuno Seco, Paulo Gomes, Francisco C. Pereira
2004	—	`conf`	REBUILDER: A CBR Approach to Knowledge Management in Software Design. LSO Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2004	C	`conf`	Reuse of UML Class Diagrams Using Case-Based Composition. SEKE Paulo Gomes, Francisco C. Pereira, Paulo Carreiro, Paulo Paiva, Nuno Seco, José Luís Ferreira, Carlos Bento
2004	—	`conf`	Using CBR for Semantic Analysis of Software Specifications. ECCBR Nuno Seco, Paulo Gomes, Francisco C. Pereira
2004	J	`jnl`	Using WordNet for case-based retrieval of UML models. AI Commun. Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2003	—	`conf`	A Model for Creativity in Creature Generation. GAME-ON Paulo Ribeiro, Francisco C. Pereira, Bruno F. Marques, Bruno Leitão, Amílcar Cardoso
2003	C	`conf`	Case-Based Reuse of UML Diagrams. SEKE Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2003	C	`conf`	Evaluation of Case-Based Maintenance Strategies in Software Design. ICCBR Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2003	Misc	`conf`	Noun Sense Disambiguation with WordNet for Software Design Retrieval. AI Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2003	C	`conf`	Selection and Reuse of Software Design Patterns Using CBR and WordNet. SEKE Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2003	C	`conf`	Solution Verification in Software Design: A CBR Approach. ICCBR Paulo Gomes, Francisco C. Pereira, Paulo Carreiro, Paulo Paiva, Nuno Seco, José Luís Ferreira, Carlos Bento
2002	A	`conf`	Case Retrieval of Software Designs using WordNet. ECAI Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2002	—	`conf`	Combining Case-Based Reasoning and Analogical Reasoning in Software Design. AICS Paulo Gomes, Francisco C. Pereira, Nuno Seco, Paulo Paiva, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2002	—	`conf`	Experiments on Case-Based Retrieval of Software Designs. ECCBR Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2002	—	`conf`	Using CBR for Automation of Software Design Patterns. ECCBR Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José Luís Ferreira, Carlos Bento
2001	—	`ch.`	An Architecture for Hybrid Creative Reasoning. Soft Computing in Case Based Reasoning Amílcar Cardoso, Ernesto Costa, Penousal Machado, Francisco C. Pereira, Paulo Gomes
2000	C	`conf`	Clouds: A Module for Automatic Learning of Concept Maps. Diagrams Francisco C. Pereira, Amílcar Cardoso
1998	—	`conf`	Darwinci: Creating Bridges to Creativity. SBIA Francisco C. Pereira, Penousal Machado, Amílcar Cardoso
1998	A	`conf`	Modelling Divergent Production: A multi-domain approach. ECAI Francisco C. Pereira
1997	C	`conf`	A Structured Framework for Representing Time in a Generative Composition System. TIME Francisco C. Pereira, Carlos Grilo, Luís Macedo, Amílcar Cardoso
1997	C	`conf`	Experimental Study of a Similarity Metric for Retrieving Pieces from Structured Plan Cases: Its Role in the Originality of Plan Case Solutions. ICCBR Luís Macedo, Francisco C. Pereira, Carlos Grilo, Amílcar Cardoso
1996	—	`conf`	Plans as Structured Networks of Hierarchically and Temporally Related Case Pieces. EWCBR Luís Macedo, Francisco C. Pereira, Carlos Grilo, Amílcar Cardoso