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Rui is an Assistant Professor at the Department of Computer Science and Engineering from Instituto Superior Técnico, where he lectures courses in the domains of Data Science, Artificial Intelligence, and Biomedical Informatics. Graduated (2008) and doctorate (2016) by Instituto Superior Técnico, Rui had also a wide-exposure to projects in the healthcare sector as a business analyst at McKinsey and as the head of the AI area at Tekever. Rui is an associate researcher at INESC-ID since 2018, where he researches on how to learn from structured, high-dimensional, heterogeneous and spatiotemporal data. His research contributions address real-worlds problems in the biomedical and urban domains. Personal page: http://web.ist.utl.pt/rmch Google scholar: https://scholar.google.pt/citations?user=l8llniYAAAAJ&hl === Research (synthesis) === 1. Current research projects • Principal investigator: iLU (DSAIPA/DS/0111/2018) • Task responsible: Neuroclinomics2 (PTDC/EEI-SII/1937/2014), WISDOM (PTDC/EEI-SII/1937/2014), Data2Help (DSAIPA/AI/0044/2018) 2. Publications – >10 papers as first author in prestigious journals ranked as Q1 in SJR/ISI including Pattern Recognition, DAMI, ACM CSUR and BMC Bioinformatics – >20 papers as first author presented in renowned international scientific conferences, including SIAM, SDM, ACM SIGKDD, ECML-PKDD, ECIR, ITS, HICSS, HRI, WABI, BPM and AAMAS 3. Supervision: >30 MSc thesis successfully concluded, >10 ongoing PhD students 4. Research interests – Learning from Structured, Temporal and High-Dimensional Data – Statistical Significance Analysis of Complex Models – Psychiatric and Neurodegenerative Disorders – Subspace Clustering and Classification === Distinctions === • 2022: Best Senior Researcher award by INESC-ID • 2020: Best Young Researcher award by INESC-ID • 2018-19: Awarded scientific publications (ACM CSUR and DAMI) • 2016: Best PhD research award by INESC-ID • 2016: Doctoral research with Distinction and Honor by IST, Universidade de Lisboa • 2012–14: Research articles elected as Best Papers in HICSS, ICIS and PhyCS • 2010: Best Student Award by Caixa Geral de Depósitos (CGD) and Universidade de Lisboa • 2010: Pluim Award for contribution to Revolutionary ICT-infrastructures, TU Delft • 2006–09: Merit Distinctions (academic achievements) by Universidade de Lisboa (ascribed in 2007, 2008 and 2009) === Teaching (synthesis) === Excellence in the quality assessments of the teaching and pedagogic skills Lecturer at DEI, IST: • Machine Learning (MB/LEIC, IST), since 2021 • Information Retrieval (MEIC, IST), since 2020 • Data Science (MEIC, IST), since 2018 • Health Informatics (MBiom, IST), since 2017 • Autonomous Agents and Multi-Agent Systems (MEIC, IST), 2017-2020 • Analysis and Synthesis of Algorithms (LEIC, IST), 2016/17 • Software Architectures (MEIC, IST), 2014/15 and 2011/12 • Software Engineering (LEIC, IST), 2009/10 • IT Project Management (MEIC, IST), 2009/10
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Identificação

Identificação pessoal

Nome completo
Rui Henriques

Nomes de citação

  • Henriques, Rui

Identificadores de autor

Ciência ID
3D1F-D220-28D1
ORCID iD
0000-0002-3993-0171

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação
  • Ciências Exatas - Ciências da Computação e da Informação - Bioinformática

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Português Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Francês Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1)
Espanhol; Castelhano Utilizador independente (B1) Utilizador proficiente (C1) Utilizador independente (B1) Utilizador independente (B1)
Formação
Grau Classificação
2016
Concluído
 Phd Program in Information Systems and Computer Engineering (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Learning from High-Dimensional Data using Local Descriptive Models" (TESE/DISSERTAÇÃO)
 Distinction and Honour (Distinção e Louvor)
2014
Concluído
 PhD Program in Computer Science and Engineering (Curso de doutoramento (conclusão de unidades curriculares))
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Learning from High-Dimensional Data using Local Descriptive Models" (TESE/DISSERTAÇÃO)
 19,4
2010
Concluído
 Master Degree (MSc) in Information Systems and Computer Engineering (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Object-centered Process Modeling: Principles to Model Data-intensive Systems" (TESE/DISSERTAÇÃO)
 17,4
2008
Concluído
 Degree (BSc) in Information Systems and Computer Engineering (Licenciatura)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"n/a" (TESE/DISSERTAÇÃO)
 18,0
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2018/02/01 - Atual Investigador principal (carreira) (Investigação) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2011/11/01 - 2017/07/01 Investigador (Investigação) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2016/03/01 - 2016/08/31 Investigador visitante (Investigação) Instituto Gulbenkian de Ciência, Portugal
2009/01/01 - 2010/10/01 Investigador (Investigação) INOV INESC INOVAÇÃO - Instituto de Novas Tecnologias, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2018/02/01 - Atual Professor Auxiliar (Docente Universitário) Universidade de Lisboa Instituto Superior Técnico, Portugal
2011/09/01 - 2015/08/01 Assistente Convidado (Docente Universitário) Universidade de Lisboa Instituto Superior Técnico, Portugal
2009/09/01 - 2010/08/01 Monitor (Docente Universitário) Universidade de Lisboa Instituto Superior Técnico, Portugal

Cargos e Funções

Categoria Profissional
Instituição de acolhimento 		Empregador
2017/08/01 - 2018/02/10 Director de Unidade Orgânica TEKEVER IT, Portugal
2009/10/01 - 2010/10/01 Presidente Núcleo Estudantil de Informática, Instituto Superior Técnico (NEIIST), Portugal
2007/09/01 - 2009/11/01 Director de Unidade Orgânica Grupo Contacto com Empresas, Instituto Superior Técnico, Portugal

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2017/06/01 - 2017/08/01 Invited Researcher Kyushu Daigaku, Japão
2010/08/01 - 2011/10/01 Business Analyst McKinsey and Company Portugal, Portugal
2010/07/01 - 2010/09/01 Certificate Tuck’s Online Business Bridge Program Dartmouth College Tuck School of Business, Estados Unidos
2009/01/01 - 2009/07/01 Events' Organizer in International Contexts Technische Universiteit Delft, Países Baixos
2008/06/01 - 2008/09/01 Analyst in the Department for Studies and Strategy (Corporative Center) Millennium bcp, Portugal
Projetos

Projeto

Designação Financiadores
2019/01/01 - Atual Data2Help: Data Science for Optimization of Emergency Medical Services
DSAIPA/AI/0044/2018
Investigador
Fundação para a Ciência e a Tecnologia
Em curso
2019/01/01 - Atual WISDOM (DSAIPA/DS/0089/2018)
DSAIPA/DS/0089/2018
Investigador
Fundação para a Ciência e a Tecnologia
Em curso
2019/01 - Atual ILU: Integrative Learning from Urban Data and Situational Context for City Mobility Optimization
DSAIPA/DS/0111/2018
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 Fundação para a Ciência e a Tecnologia
Em curso
2016 - Atual Neuroclinomics2: Unravelling prognostic markers in neurodegenerative diseases through clinical and omics data integration
PTDC/EEI-SII/1937/2014
Investigador
Concluído
Produções

Publicações

Artigo em conferência
  1. Daniel Mateus Gonçalves; Rafael S. Costa; Henriques, Rui. "Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates". Trabalho apresentado em IC on Advanced Visual Interfaces (AVI), Roma, 2022.
    Aceite para publicação
  2. Tiam-Lee, T.J.; Henriques, R.; Costa, J.; Manquinho, V.; Galhardas, H.. "Consolidation of massive medical emergency events with heterogeneous situational context data sources". Trabalho apresentado em DARLIAP, 2022.
    Publicado
  3. Leonor Pimenta; Vasco Manquinho; Helena Galhardas; Henriques, Rui. "UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles". Trabalho apresentado em SIAM International Conference on Data Mining (SDM21), 2021.
  4. David Calhas; Henriques, Rui. "fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser". Trabalho apresentado em Artificial Intelligence in Medicine (AIME), 2021.
  5. Thomas J. Tiam-Lee; Henriques, Rui. "Where are the Passengers? Individual Passenger Route Choice Estimation from Gate Information in Urban Rail Transit Systems". Trabalho apresentado em European Transport Conference (ETC), 2021.
  6. Sofia Cerqueira; Elisabete Arsenio; Henriques, Rui. "Inference of Dynamic Origin-Destination Matrices with Trip and Transfer Status from Individual Smart Card Data". Trabalho apresentado em European Transport Conference (ETC), 2021.
  7. Joao T. Aparicio; Elisabete Arsenio; Henriques, Rui. "Assessing Robustness in Multimodal Transportation Systems: A case study in Lisbon". Trabalho apresentado em European Transport Conference (ETC), 2021.
  8. Calhas, David; Henriques, Rui. "Fitting Regularized Population Dynamics with Neural Differential Equations". Trabalho apresentado em The Symbiosis of Deep Learning and Differential Equations (DLDE) Workshop, Neural Information Processing Systems conference (NeurIPS), 2021.
  9. Francisco Neves; Anna C. Finamore; Henriques, Rui. "Efficient discovery of emerging patterns in heterogeneous spatiotemporal data from mobile sensors". Trabalho apresentado em 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2020.
  10. Ricardo Sousa; Conceição Amado; Henriques, Rui. "AutoMTS: fully autonomous processing of multivariate time series data from heterogeneous sensor networks". Trabalho apresentado em 16th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine), 2020.
  11. Sofia Cerqueira; Elisabete Arsénio; Henriques, Rui. "Integrative analysis of traffic and situational context data to support urban mobility planning". Trabalho apresentado em European Transport Conference (ETC), 2020.
  12. Carlos Lemonde; Elisabete Arsénio; Henriques, Rui. "Exploring multimodal mobility patterns with big data in the city of Lisbon". Trabalho apresentado em European Transport Conference (ETC), 2020.
  13. Inês Leite; Anna C. Finamore; Henriques, Rui. "Context-sensitive modeling of public transport data". Trabalho apresentado em Transport Research Arena (TRA2020), 2020.
    Publicado
  14. Pavlo Kovalchuk; Diogo Proença; José Borbinha; Rui Henriques. "Moving from Formal Towards Coherent Concept Analysis: Why, When and How". Trabalho apresentado em ECIR, 2020.
    Publicado • 10.1007/978-3-030-45439-5_19
  15. Diogo Soares; Henriques, Rui; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira. "Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS". Trabalho apresentado em IC on Practical Applications of Computational Biology & Bioinformatics (PACBB), 2020.
    10.1007/978-3-030-54568-0_12
  16. Henriques, Rui; Alexandre Francisco; Luís Russo; Hideo Bannai. "Order-preserving Pattern Matching Indeterminate Strings". 2018.
    10.4230/LIPIcs.CPM.2018.2
  17. Rui Duarte; Álvaro Simões; Henriques, Rui; Horácio C. Neto. "FPGA-based OpenCL Accelerator for Discovering Temporal Patterns in Gene Expression Data Using Biclustering". 2018.
    10.1145/3235830.3235836
  18. Henriques, Rui; Sara C. Madeira. "BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules". 2015.
    10.1007/978-3-662-48221-6_1
  19. Henriques, Rui; Cláudia M. Antunes. "Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-Based and Generative Models to Capture Temporal and Cross-Attribute Dependencies". 2014.
    10.1109/HICSS.2014.322
  20. Henriques, Rui; Ana Paiva. "Seven principles to mine flexible behavior from physiological signals for effective emotion recognition and description in affective interactions". 2014.
    10.5220/0004666400750082
  21. Henriques, Rui. "Generative Modeling of Itemset Sequences derived from Real Databases". 2014.
    10.5220/0004898302640272
  22. Henriques, Rui. "Descriptive Models of Emotion: Learning Useful Abstractions from Physiological Responses during Affective Interactions". 2014.
    10.5220/0004902703930400
  23. Henriques, Rui; Ana Paiva. "Accessing Emotion Patterns from Affective Interactions Using Electrodermal Activity". 2013.
    10.1109/ACII.2013.14
  24. Iolanda Leite; Henriques, Rui; Carlos Martinho; Ana Paiva. "Sensors in the wild: Exploring electrodermal activity in child-robot interaction". 2013.
    10.1109/HRI.2013.6483500
  25. Henriques, Rui; Cláudia M. Antunes. "F2G: Efficient Discovery of Full-Patterns". Trabalho apresentado em ECML/PKDD IW on New Frontiers to Mine Complex Patterns, Prague, 2013.
    Publicado
  26. Henriques, Rui; Cláudia M. Antunes. "IndexSpan: Efficient Discovery of Item-Indexable Sequential Patterns". Trabalho apresentado em ECML/PKDD IW on New Frontiers to Mine Complex Patterns, Prague, 2013.
    Aceite para publicação
  27. Henriques, Rui; Silvia Moura Pina; Cláudia M. Antunes. "Temporal Mining of Integrated Healthcare Data: Methods, Revealings and Implications". Trabalho apresentado em Data Mining for Medicine and Healthcare, Austin, 2013.
    Publicado
  28. Henriques, Rui; Miguel Henriquess. "Analysis of an Investment Decision in the Carbon Market: The EcoSecurities' VAM Project". Trabalho apresentado em IASK International Conference Global Management, Oviedo, 2010.
Artigo em revista
  1. Diogo F. Soares; Rui Henriques; Marta Gromicho; Mamede de Carvalho; Sara C. Madeira. "Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis". Journal of Biomedical Informatics (2022): https://doi.org/10.1016/j.jbi.2022.104172.
    10.1016/j.jbi.2022.104172
  2. Patricio, Andre; Rafael S. Costa; Henriques, Rui. "On the challenges of predicting treatment response in Hodgkin’s Lymphoma using transcriptomic data". BMC Genomics (2022):
    Aceite para publicação
  3. Pedro Rodrigues; Rafael S. Costa; Henriques, Rui. "Enrichment analysis on regulatory subspaces: a novel direction for the superior description of cellular responses to SARS-CoV-2". Computers in Biology and Medicine, Elsevier (2022): https://web.ist.utl.pt/rmch/upload/publications/EnrichmentAnalysisRegulatorySubspaces_CIBM_RodriguesCostaHenriques.pdf.
    Aceite para publicação
  4. Hugo Mochão; Daniel Gonçalves; Leonardo Alexandre; Carolina Castro; Duarte Valério; Pedro Barahona; Daniel Moreira-Gonçalves; et al. "IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain". Computer Methods and Programs in Biomedicine 219 (2022): 106754-106754. https://doi.org/10.1016/j.cmpb.2022.106754.
    10.1016/j.cmpb.2022.106754
  5. Marta D.M. Noronha; Rui Henriques; Sara C. Madeira; Luis E. Zárate. "Impact of metrics on biclustering solution and quality: A review". Pattern Recognition 127 (2022): 108612-108612. https://doi.org/10.1016%2Fj.patcog.2022.108612.
    10.1016/j.patcog.2022.108612
  6. Tiam-Lee, T.J.; Henriques, R.. "Route choice estimation in rail transit systems using smart card data: handling vehicle schedule and walking time uncertainties". European Transport Research Review 14 1 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85134408573&partnerID=MN8TOARS.
    10.1186/s12544-022-00558-x
  7. Russo, L.M.S.; Costa, D.; Henriques, R.; Bannai, H.; Francisco, A.P.. "Order-preserving pattern matching indeterminate strings". Information and Computation (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85131364587&partnerID=MN8TOARS.
    10.1016/j.ic.2022.104924
  8. Sofia Cerqueira; Elisabete Arsenio; Rui Henriques. "On how to incorporate public sources of situational context in descriptive and predictive models of traffic data". European Transport Research Review 13 1 (2021): https://doi.org/10.1186%2Fs12544-021-00519-w.
    10.1186/s12544-021-00519-w
  9. Susana C. Gomes; Susana Vinga; Rui Henriques. "Spatiotemporal Correlation Feature Spaces to Support Anomaly Detection in Water Distribution Networks". Water (2021): https://doi.org/10.3390/w13182551.
    10.3390/w13182551
  10. Leonardo Alexandre; Rafael S. Costa; Rui Henriques. "DI2: prior-free and multi-item discretization of biological data and its applications". BMC Bioinformatics 22 1 (2021): https://doi.org/10.1186%2Fs12859-021-04329-8.
    10.1186/s12859-021-04329-8
  11. Joao T. Aparicio; Elisabete Arsenio; Rui Henriques. "Understanding the Impacts of the COVID-19 Pandemic on Public Transportation Travel Patterns in the City of Lisbon". Sustainability 13 15 (2021): 8342-8342. https://doi.org/10.3390/su13158342.
    10.3390/su13158342
  12. Daniel M. Gonçalves; Rui Henriques; Rafael S. Costa. "Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis". Cancers 13 13 (2021): 3217-3217. https://doi.org/10.3390/cancers13133217.
    10.3390/cancers13133217
  13. Gonçalves D; Henriques R; Santos LL; Costa RS. "On the predictability of postoperative complications for cancer patients: a Portuguese cohort study.". BMC medical informatics and decision making (2021): http://europepmc.org/abstract/med/34182974.
    10.1186/s12911-021-01562-2
  14. André Patrício; Rafael S Costa; Rui Henriques. "Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study". Journal of Medical Internet Research (2021): https://doi.org/10.2196/26075.
    10.2196/26075
  15. Henriques, Rui; Sara C. Madeira. "FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns". Pattern Recognition, Elsevier (2021): https://doi.org/10.1016/j.patcog.2021.107900.
    10.1016/j.patcog.2021.107900
  16. Francisco Neves; Anna C. Finamore; Sara C. Madeira; Rui Henriques. "Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering". IEEE Transactions on Intelligent Transportation Systems (2021): https://doi.org/10.1109/TITS.2021.3057240.
    10.1109/TITS.2021.3057240
  17. Alexandre, Leonardo; Costa, Rafael S; Santos, Lucio Lara; Henriques, Rui. "Mining pre-surgical patterns able to discriminate post-surgical outcomes in the oncological domain". IEEE Journal of Biomedical and Health Informatics (2021): 1-1. http://dx.doi.org/10.1109/jbhi.2021.3064786.
    10.1109/jbhi.2021.3064786
  18. André Aparício; Rafael S. Costa; Henriques, Rui. "COVID-19 in Portugal: predictability of hospitalization, ICU and respiratory-assistance needs". Journal of Medical Internet Research (JMIR) (2021):
    Publicado
  19. Carlos Lemonde; Elisabete Arsenio; Rui Henriques. "Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon". European Transport Research Review 13 1 (2021): https://doi.org/10.1186%2Fs12544-021-00520-3.
    10.1186/s12544-021-00520-3
  20. David Calhas; Enrique Romero; Henriques, Rui. "On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations". Artificial Intelligence in Medicine, Elsevier (2020): https://doi.org/10.1016/j.artmed.2020.101852.
    Publicado • 10.1016/j.artmed.2020.101852
  21. João Lobo; Henriques, Rui; Sara C. Madeira. "G-Tric: generating three-way synthetic datasets with triclustering solutions". BMC Bioinformatics (2020):
    10.1186/s12859-020-03925-4
  22. Henriques, Rui; Sara C. Madeira. "Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey". ACM Computing Surveys (CSUR) 51 5 (2018): 95:1-95:43. http://web.ist.utl.pt/rmch/upload/publications/ACM_CSUR_TricSurvey_HenriquesMadeira2018.pdf.
    10.1145/3195833
  23. Henriques, Rui. "Estimating Attractor Reachability in Asynchronous Logical Models". Frontiers in Physiology (2018): https://www.frontiersin.org/article/10.3389/fphys.2018.01161.
    10.3389/fphys.2018.01161
  24. Henriques, Rui; Sara C. Madeira. "BSig: Evaluating the Statistical Significance of Biclustering Solutions, Data Mining and Knowledge Discovery". Data Mining and Knowledge Discovery (2017): https://link.springer.com/article/10.1007/s10618-017-0521-2.
    10.1007/s10618-017-0521-2
  25. Henriques, Rui; Francisco Ferreira; Sara C. Madeira. "BicPAMS: software for biological data analysis with pattern-based biclustering". BMC Bioinformatics 18 1 (2017): 82-82. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1493-3.
    10.1186/s12859-017-149
  26. Henriques, Rui; Sara C. Madeira. "BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge". Algorithms for Molecular Biology 11 1 (2016): 23-23. https://almob.biomedcentral.com/articles/10.1186/s13015-016-0085-5.
    10.1186/s13015-016-0085-5
  27. Henriques, Rui; Sara C. Madeira. "BicNET: Flexible module discovery in large-scale biological networks using biclustering". Algorithms for Molecular Biology 11 1 (2016): 1-30. http://almob.biomedcentral.com/articles/10.1186/s13015-016-0074-8.
    10.1186/s13015-016-0074-8
  28. Henriques, Rui; Cláudia M. Antunes; Sara C. Madeira. "A structured view on pattern mining-based biclustering". Pattern Recognition 48 12 (2015): 3941-3958. http://www.sciencedirect.com/science/article/pii/S003132031500240X.
    10.1016/j.patcog.2015.06.018
  29. Henriques, Rui; Sara C. Madeira. "BicPAM: Pattern-based biclustering for biomedical data analysis". Algorithms for Molecular Biology (2014): http://www.almob.org/content/9/1/27.
    10.1186/s13015-014-0027-z
  30. Henriques, Rui; Cláudia M. Antunes; Sara C. Madeira. "Generative modeling of repositories of health records for predictive tasks". Data Mining and Knowledge Discovery (2014): 1-34. http://dx.doi.org/10.1007/s10618-014-0385-7.
    10.1007/s10618-014-0385-7
  31. Henriques, Rui. "Multi-period classification: learning sequent classes from temporal domains". Data Mining and Knowledge Discovery (2014): 1-28. http://dx.doi.org/10.1007/s10618-014-0376-8.
    10.1007/s10618-014-0376-8
  32. Henriques, Rui; Cláudia M. Antunes. "Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns". ECML/PKDD New Frontiers to Mine Complex Patterns 8399 (2014): 94-108. https://link.springer.com/chapter/10.1007/978-3-319-08407-7_7.
    10.1007/978-3-319-08407-7_7
  33. Henriques, Rui; Sara C. Madeira. "BicSPAM: Flexible Biclustering using Sequential Patterns". BMC Bioinformatics 15 (2014): 130-130. http://www.biomedcentral.com/1471-2105/15/130.
    10.1186/1471-2105-15-130
  34. Henriques, Rui; Inês Lynce; Vasco Manquinho. "On When and How to use SAT to Mine Frequent Itemsets". CoRR abs/1207.6 (2012):
Capítulo de livro
  1. Rui Henriques; Anna Carolina Finamore; Marco Antonio Casanova. "On the Discovery of Educational Patterns using Biclustering". 133-144. Springer International Publishing, 2019.
    10.1007/978-3-030-22244-4_17
  2. Pavlo Kovalchuk; Diogo Proença; José Borbinha; Rui Henriques. "An Unsupervised Method for Concept Association Analysis in Text Collections". 18-32. Springer International Publishing, 2019.
    10.1007/978-3-030-30760-8_2
  3. Henriques, Rui; Madeira, Sara C.. "Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data". In Big Data in Complex Systems, 71-104. Springer International Publishing, 2015.
    10.1007/978-3-319-11056-1_3
  4. Henriques, Rui; Ana Paiva. "Learning Effective Models of Emotions from Physiological Signals: The Seven Principles". editado por da Silva, Hugo Pl\'acido; Holzinger, Andreas; Fairclough, Stephen; Majoe, Dennis, 137-155. Springer Berlin Heidelberg, 2014.
    10.1007/978-3-662-45686-6_9
  5. Henriques, Rui; Ana Paiva. "On the Need of New Methods to Mine Electrodermal Activity in Emotion-Centered Studies". editado por Cao, Longbing; Zeng, Yifeng; Symeonidis, AndreasL.; Gorodetsky, VladimirI.; Yu, PhilipS.; Singh, MunindarP, 203-215. Springer Berlin Heidelberg, 2013.
    10.1007/978-3-642-36288-0_18
  6. Henriques, Rui; Cláudia M. Antunes. "On the Need of New Approaches for the Novel Problem of Long-Term Prediction over Multi-dimensional Data". editado por Lee, Roger, 121-138. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-30454-5_9
  7. Henriques, Rui; Cláudia M. Antunes. "An Integrated Approach for Healthcare Planning over Multi-dimensional Data Using Long-Term Prediction". editado por He, Jing; Liu, Xiaohui; Krupinski, ElizabethA.; Xu, Guandong, 36-48. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-29361-0_6
  8. João Zambujal Oliveira; Miguel Henriques; Henriques, Rui. "Carbon Markets and Investments: EcoSecurities Investment Case Analysis". 15-33. IGI Global, 2012.
    10.4018/978-1-61350-156-6.ch002
  9. Henriques, Rui; António Rito Silva. "Object-Centered Process Modeling: Principles to Model Data-Intensive Systems". In Business Process Management Workshops (EdBPM’10), editado por zur Muehlen, Michael; Su, Jianwen, 683-694. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-20511-8_62
Relatório
  1. Henriques, Rui; Miguel Henriques; Phil Hunte. 2009. Meta-heuristic Approaches Consolidation for the Edge-Weighted K-Cardinality Tree Problem. http://www.st.ewi.tudelft.nl/~tomas/IN4082/IN4082-2008-2009HenriquesHenriquesHunte.pdf.
Tese / Dissertação
  1. Henriques, Rui. "Learning from High-Dimensional Data using Local Descriptive Models". Doutoramento, Universidade de Lisboa Instituto Superior Técnico, 2016. http://web.ist.utl.pt/rmch/research/publications/phd.
  2. Henriques, Rui. "Object-centered Process Modeling: Towards a Modeling Approach for Data-Intensive Systems". Mestrado, Universidade de Lisboa Instituto Superior Técnico, 2010. http://web.ist.utl.pt/~rmch/upload/publications/Object-centered%20Process%20Modeling%20-%20Master%20Thesis%20(Rui%20Henriques).pdf.

Outros

Outra produção
  1. Sustainable Urban Mobility Measures in Response to Covid-19 a Systematic Literature Review and Emerging Policy Challenges. 2022. Bubicz, M.; Arsenio, E.; Henriques, R.; Barateiro, J.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85127819501&partnerID=MN8TOARS.
  2. On the Role of Multi-Objective Optimization to the Transit Network Design Problem. 2022. Silva, V.; Finamore, A.; Henriques, R.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85124062636&partnerID=MN8TOARS.
  3. EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships. 2022. Calhas, D.; Henriques, R.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85126704195&partnerID=MN8TOARS.
Distinções

Prémio

2022 Research Excellence (best Senior Researcher)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2020 Research Excellence (best Young Researcher)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2016 Research Excellence (best PhD research)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2014 Three Research Articles elected as Best Papers (2012-2014)
2010 Best Student Award
Caixa Geral de Depositos, Portugal

Universidade de Lisboa Instituto Superior Técnico, Portugal
2005 Merit Distinction
Escola Secundária Madeira de Torres, Portugal

Outra distinção

2016 Merit Distinction and Honors (PhD excellence)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2010 Pluim Award (Revolutionary ICT-Infrastructures)
Technische Universiteit Delft, Países Baixos
2009 Merit Distinction (academic achievements)
Universidade de Lisboa, Portugal
2008 Merit Distinction (academic achievements)
Universidade de Lisboa, Portugal
2007 Merit Distinction (academic achievements)
Universidade de Lisboa, Portugal