Rui Henriques

Rui Henriques, 2016, Learning from High-Dimensional Data using Local Descriptive Models, PhD Thesis,
Instituto Superior Técnico, Universidade de Lisboa, Lisboa

J.T. Aparicio, E. Arsenio, F.C. Santos, R. Henriques, 2024, Walkability defined neighborhoods for sustainable cities, Cities 149, 104944
[10.1016/j.cities.2024.104944]

L. Alexandre, R.S. Costa, R. Henriques, 2024, TriSig: Evaluating the statistical significance of triclusters, Pattern Recognition 149, 110231
[10.1016/j.patcog.2023.110231]

João Palet, Vasco Manquinho, Rui Henriques, 2024, Multiple-Input Neural Networks for Time Series Forecasting Incorporating Historical and Prospective Context, Data Mining and Knowledge Discovery (DAMI), 38 (1), 315-341, Springer
[10.1007/s10618-023-00984-y]

M. G. Silva, S. C. Madeira, R. Henriques, 2024, A Comprehensive Survey on Biclustering-based Collaborative Filtering, ACM Computing Surveys (ACM CSUR), 56(12), 1-32
[10.1145/3674723]

A. Patrício, R.S. Costa, R. Henriques, 2024, Pattern-centric transformation of omics data grounded on discriminative gene associations aids predictive tasks in TCGA while ensuring interpretability, In Biotechnology and Bioengineering, Wiley
[10.1002/bit.28758]

D.F. Soares, R. Henriques, S.C. Madeira, 2024, Comprehensive assessment of triclustering algorithms for three-way temporal data analysis, Pattern Recognition, 110303
[10.1016/j.patcog.2024.110303]

Miguel G. Silva, Sara C. Madeira, Rui Henriques, 2024, Actionable descriptors of spatiotemporal urban dynamics from large-scale mobile data: A case study in Lisbon city, Environment and Planning B: Urban Analytics and City Science
[10.1177/23998083231219048]

S. Cerqueira, E. Arsenio, J. Barateiro, R. Henriques, 2024, Moving from classical towards machine learning stances for bus passengers’ alighting estimation: A comparison of state-of-the-art approaches in the city of Lisbon, Transportation Engineering 16, 100239
[10.1016/j.treng.2024.100239]

J.T. Aparício, E. Arsenio, F.C. Santos, R. Henriques, 2024, Using dynamic knowledge graphs to detect emerging communities of knowledge, Knowledge-Based Systems 294, 111671
[10.1016/j.knosys.2024.111671]

H. Shao, R. Henriques, H. Morais, E. Tedeschi, 2024, Power quality monitoring in electric grid integrating offshore wind energy: A review, Renewable and Sustainable Energy Reviews 191, 114094
[10.1016/j.rser.2023.114094]

Mariana Carrasco, António Rito Silva, Rui Henriques, 2023, Detecting Fraudulent Student Communication in a Multiple Choice Online Test Environment, IEEE Transactions on Computational Social Systems (TCSS), (99):1-13
[10.1109/TCSS.2023.3254504]

Luis Madeira, Guilherme Queirzoz, Rui Henriques, 2023, Prepandemic psychotropic drug status in Portugal: a nationwide pharmacoepidemiological profile, Scientific Reports, 13 (1), 6912, Springer Nature
[10.1038/s41598-023-33765-0]

DF Soares, R Henriques, M Gromicho, M de Carvalho, SC Madeira, 2023, Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis, Scientific Reports 13 (1), 6182, Springer Nature
[10.1038/s41598-023-33223-x]

J Barreto, R Henriques, S Cabral, B Pedro, C Peixoto, A Veloso, 2023, Movement Prototypes in a Complex Teamgym Gymnastics Technique on the Vaulting Table and Their Relationship with Judges’ Scores, Sensors, 23(6), 3240
[10.3390/s23063240]

D.M. Gonçalves, R. Henriques, R.S. Costa, 2023, Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches, Computational and Structural Biotechnology Journal 21, 4960-4973
[10.1016/j.csbj.2023.10.002]

J.T. Aparicio, E. Arsenio, F.C. Santos, R. Henriques, 2023, Spatiotemporal trip profiles in public transportation reveal city modular structure, Transportation Research Interdisciplinary Perspectives 19, 100840
[10.1016/j.trip.2023.100840]

E.N. Castanho, J.P. Lobo, R. Henriques, S.C. Madeira, 2023, G-bic: generating synthetic benchmarks for biclustering, BMC bioinformatics 24 (1), 1-22
[10.1186/s12859-023-05587-4]

André Patrício, Rafael Costa, Rui Henriques, 2022, On the challenges of predicting treatment response in Hodgkin’s Lymphoma using transcriptomic data, BMC Medical Genomics, 16 (Suppl 1), 170
[10.1186/s12920-023-01508-9]

Pedro Rodrigues, Rafael Costa, Rui Henriques, 2022, 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
[10.1016/j.compbiomed.2022.105443]

Leonardo Alexandre, Rafael Costa, Rui Henriques, 2022, DISA tool: Discriminative and informative subspace assessment with categorical and numerical outcomes, Plos ONE 17 (10), e0276253
[10.1371/journal.pone.0276253]

Thomas J. Tiam-Lee and Rui Henriques, 2022, Route choice estimation in rail transit systems using smart card data: handling vehicle schedule and walking time uncertainties, European Transport Research Review (ETRR), Vol.14, Nr.31
[10.1186/s12544-022-00558-x]

Miguel G. Silva, Sara C. Madeira, Rui Henriques, 2022, Water Consumption Pattern Analysis Using Biclustering: When, Why and How, In Water, 14(12), 1954
[10.3390/w14121954]

Thomas J. Tiam-Lee, R. Henriques, V. Manquinho, 2022, Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response, ISPRS Int. J. Geo-Information, 11(7), 356
[10.3390/ijgi11070356]

Joao T. Aparicio, Elisabete Arsenio, Francisco C. Santos, Rui Henriques, 2022, LINES: muLtImodal traNsportation rEsilience analySis, Sustainability, 14(13), 7891
[10.3390/su14137891]

Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede Carvalho, Sara C. Madeira, 2022, 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, Volume 134, 104172
[10.1016/j.jbi.2022.104172]

S. Cerqueira, E. Arsenio, R. Henriques, 2022, Inference of dynamic origin–destination matrices with trip and transfer status from individual smart card data, In European Transport Research Review (ETRR) 14.1(2022):42
[10.1186/s12544-022-00562-1]

A Patrício, MB Lopes, PR Costa, RS Costa, R Henriques*, S Vinga*, 2022, Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions, Toxins 14(10), 679
[10.3390/toxins14100679]

Joao T. Aparicio, Elisabete Arsenio, Rui Henriques, 2022, Assessing robustness in multimodal transportation systems: a case study in Lisbon, European Transport Research Review (ETRR), Vol.14, Nr.28
[10.1186/s12544-022-00552-3]

MDM Noronha, R Henriques, SC Madeira, LE Zárate, 2022, Impact of metrics on biclustering solution and quality: A review, Pattern Recognition, 108612
[10.1016/j.patcog.2022.108612]

Rui Henriques and Sara C. Madeira, 2021, FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns, Pattern Recognition, Elsevier
[10.1016/j.patcog.2021.107900]

Leonardo Alexandre, Rafael Costa, Lúcio Lara Santos and Rui Henriques, 2021, Mining pre-surgical patterns able to discriminate post-surgical outcomes in the oncological domain, IEEE Journal of Biomedical and Health Informatics, IEEE EMBS
[10.1109/JBHI.2021.3064786]

Francisco Neves, Anna C. Finamore, Sara C. Madeira and Rui Henriques, 2021, Mining actionable patterns of road mobility from heterogeneous traffic data using biclustering, IEEE Transactions on Intelligent Transportation Systems
[10.1109/TITS.2021.3057240]

André Aparício, Rafael Costa, and Rui Henriques, 2021, COVID-19 in Portugal: predictability of hospitalization, ICU and respiratory-assistance needs, Journal of Medical Internet Research (JMIR), 23(4):e26075
[10.2196/26075]

Leonardo Alexandre, Rafael Costa and Rui Henriques, 2021, DI2: prior-free and multi-item discretization of biological data and its applications, BMC Bioinformatics
[10.1186/s12859-021-04329-8]

Daniel Gonçalves, Rui Henriques, Rafael S. Costa, 2021, Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis, Cancers, 13(13):3217
[10.3390/cancers13133217]

Susana C. Gomes, Susana Vinga, Rui Henriques, 2021, Spatiotemporal Correlation Feature Spaces to support Anomaly Detection in Water Distribution Networks, Water, 13(18), 2551, MDPI
[10.3390/w13182551]

Sofia Cerqueira, Elisabete Arsénio, Rui Henriques, 2021, On How to Incorporate Public Sources of Situational Context in Descriptive and Predictive Models of Traffic Data, European Transport Research Review (ETRR), 13:60, Springer Nature
[10.1186/s12544-021-00519-w]

Carlos Lemonde, Elisabete Arsénio, Rui Henriques, 2021, Integrative Analysis of Multimodal Traffic Data: Addressing Open Challenges using Big Data Analytics in the City of Lisbon, European Transport Research Review (ETRR), 13:64, Springer Nature
[10.1186/s12544-021-00520-3]

Daniel Gonçalves, Rui Henriques, Lúcio L. Santos, Rafael S. Costa, 2021, On the predictability of postoperative complications for cancer patients: a Portuguese cohort study, BMC Medical Informatics and Decision Making, Biomed, Vol. 21, pp. 200
[10.1186/s12911-021-01562-2]

João Aparício, Elisabete Arsénio, and Rui Henriques, 2021, Understanding the impacts of the COVID-19 pandemic on public transportation travel patterns in the city of Lisbon, Sustainability, MDPI
[10.3390/su13158342]

David Calhas, Enrique Romero, Rui Henriques, 2020, On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations, Artificial Intelligence in Medicine, Elsevier
[10.1016/j.artmed.2020.101852]

João Lobo, Rui Henriques, Sara C. Madeira, 2020, G-Tric: generating three-way synthetic datasets with triclustering solutions, BMC Bioinformatics, BioMed Central Ltd
[10.1186/s12859-020-03925-4]

Rui Henriques and Sara C. Madeira, 2019, Triclustering Algorithms for Three-Dimensional Data Analysis:
A Comprehensive Survey, ACM Computing Surveys (CSUR), Volume 51, Issue 5, No. 95, pp. 1-43, ACM New York, NY, USA
[10.1145/3195833]

N.D. Mendes*, R. Henriques*, E. Remy, J. Carneiro Jorge, P.T. Monteiro, C. Chaouiya, 2018, Estimating Attractor Reachability in Asynchronous Logical Models, Frontiers in Physiology, Systems Biology, vol.9, pp.1161 (* co-first authoring)
[10.3389/fphys.2018.01161]

Rui Henriques and Sara C. Madeira, 2018, BSig: Evaluating the Statistical Significance of Biclustering Solutions, Data Mining and Knowledge Discovery, Volume 32, Issue 1, pp 124–161
[10.1007/s10618-017-0521-2]

Rui Henriques, Francisco L. Ferreira and Sara C. Madeira, 2017, BicPAMS: Software for Biological Data Analysis with Pattern-based Biclustering, BMC Bioinformatics, 18:82
[10.1186/s12859-017-149]

Rui Henriques and Sara C. Madeira, 2016, BicNET: Flexible module discovery in large-scale biological networks using biclustering, Algorithms for Molecular Biology, 11:1–30
[10.1186/s13015-016-0074-8]

Rui Henriques and Sara C. Madeira, 2016, BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge, Algorithms for Molecular Biology, 11:1–23
[10.1186/s13015-016-0085-5]

Rui Henriques, Cláudia Antunes and Sara C. Madeira, 2015, Generative Modeling of Repositories of Health Records for Predictive Tasks, Data Mining and Knowledge Discovery, 29(4):999-1032, Springer US
[10.1007/s10618-014-0385-7]

Rui Henriques, Cláudia Antunes and Sara C. Madeira, 2015, A Structured View on Pattern Mining-based Biclustering, Pattern Recognition, 48(12):3941-3958, Elsevier
[http://dx.doi.org/10.1016/j.patcog.2015.06.018]

Rui Henriques and Sara C. Madeira, 2015, Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(4):738-752, IEEE/ACM
[10.1109/TCBB.2014.2388206]

Rui Henriques and Sara C. Madeira, 2014, BicPAM: Pattern-based biclustering for biomedical data analysis, Algorithms for Molecular Biology, 9(1):27-, BioMed Central Ltd
[10.1186/s13015-014-0027-z]

Rui Henriques, Sara C. Madeira and Cláudia Antunes, 2015, Multi-period Classification: Learning Sequent Classes from Temporal Domains, Data Mining and Knowledge Discovery, 29(3):792-819, Springer US
[http://dx.doi.org/10.1007/s10618-014-0376-8]

Rui Henriques and Sara C. Madeira, 2014, BicSPAM: Flexible Biclustering using Sequential Patterns, BMC Bioinformatics, 15:130, BioMed Central Ltd
[doi:10.1186/1471-2105-15-130]

E. Machado, R. Henriques, 2024, Chatbot Decision Support with Intent-Rich Structures in the Hospitality Industry, Progress in Artificial Intelligence, pp. 333-346, selected proceedings from the EPIA Conference on Artificial Intelligence
[10.1007/978-3-031-73503-5_27]

S. Cerqueira, J.T. Aparício, E. Arsenio, R. Henriques, 2024, Advancing Green and Digital Logistics through Spatio-Temporal Data Integration, In European Transport Conference (ETC)

H. Shao, R. Henriques, H. Morais, E. Tedeschi, 2024, Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet, In IECON 2024 (50th Annual Conference of the IEEE Industrial Electronics Society), pp. 1-6, Chicago, USA

M. Dauphinet, R. Henriques*, P.T. Monteiro, 2024, Context-Aware Deep Forecasting: Principles for the Nation-Wide Management of Blood Products, Progress in Artificial Intelligence, pp. 359-372, selected proceedings from the EPIA Conference on Artificial Intelligence
[10.1007/978-3-031-73503-5_29]

H. Shao, R. Henriques, H. Morais, E. Tedeschi, 2024, Automatic Power Quality Disturbance Feature Extraction Using Fast Iterative Filtering, In 21st IC on Harmonics and Quality of Power (ICHQP), Chengdu, China
[10.1109/ICHQP61174.2024.10768829]

David Calhas, Rui Henriques, 2023, EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships, In Proceedings of Machine Learning Research 219:1–23, Machine Learning for Healthcare (MLHC 2023), New York

Joao Tiago Aparicio, Elisabete Arsenio, Rui Henriques, 2023, tex2net: A Package for Storytelling Using Network Models, SIGDOC 23: 41st ACM Int. Conf. on Design of Communication, 119–125, Orlando, FL, US
[10.1145/3615335.3623022]

S. Cerqueira, E. Arsenio, R. Henriques, 2023, Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions?, Transportation Research Procedia 72, 3395-3402, Presented in Transport Research Arena 2022 (TRA2022)
[10.1016/j.trpro.2023.11.780]

David Calhas, Rui Henriques, 2023, EEG To FMRI Synthesis: Is Deep Learning a Candidate?, In Information Systems Development, Organizational Aspects and Societal Trends (ISD2023), Lisbon, Portugal

Marta Bubicz, Elisabete Arsenio, José Barateiro, Rui Henriques, 2023, Planning for more resilient urban transportation systems: Lessons learned from the Covid-19 pandemic, Transportation Research Procedia 72, 3435-3442, Presented in Transport Research Arena (TRA) 2022
[10.1016/j.trpro.2023.11.780]

Daniel Gonçalves, Rafael Costa, Rui Henriques, 2022, Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates, IC on Advanced Visual Interfaces (AVI)
[10.1145/3531073.3531124]

Elisabete Arsenio, Rui Henriques, 2022, Data-driven and user-centric tools for a more resilient and inclusive public transport, In 14th Conference on Planning Research – Safe, Equitable and Just Communities (CITTA), Porto, Portugal
[doi soon available]

S. Cerqueira, E. Arsenio, R. Henriques, 2022, Inference of Origin-Destination Matrices for Assessing the Spatio-temporal Attractiveness of Public Transport in relation to Car Travel: a case study in the city of Lisbon, In European Transport Conference (ETC), Milan, Italy

Thomas J. Tiam-Lee, R. Henriques, J. Costa, V. Manquinho, H. Galhardas, 2022, Consolidation of Massive Medical Emergency Events With Heterogeneous Situational Context Data Sources, In 6th IW on Data Analytics solutions for Real-LIfe APplications (DARLIAP) @ EDBT/ICDT

Leonor P. Silva, Vasco Manquinho, Rui Henriques, 2021, UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles, In SIAM International Conference on Data Mining (SDM21)
[10.1137/1.9781611976700.37]

Thomas J. Tiam-Lee, Rui Henriques, 2021, Where are the Passengers? Individual Passenger Route Choice Estimation from Gate Information in Urban Rail Transit Systems, In European Transport Conference (ETC)

David Calhas, Rui Henriques, 2021, fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser, In Artificial Intelligence in Medicine (AIME), pp. 25-35
[10.1007/978-3-030-77211-6_3]

Sofia Cerqueira, Elisabete Arsenio, Rui Henriques, 2021, Inference of Dynamic Origin-Destination Matrices with Trip and Transfer Status from Individual Smart Card Data, In European Transport Conference (ETC)

David Calhas, Rui Henriques, 2021, Fitting Regularized Population Dynamics with Neural Differential Equations, The Symbiosis of Deep Learning and Differential Equations (DLDE) Workshop, Neural Information Processing Systems conference (NeurIPS)

Joao T. Aparicio, Elisabete Arsenio, Rui Henriques, 2021, Assessing Robustness in Multimodal Transportation Systems: A case study in Lisbon, In European Transport Conference (ETC)

Francisco Neves, Anna Finamore, Rui Henriques, 2020, Efficient discovery of emerging patterns in heterogeneous spatiotemporal data from mobile sensors, In 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous)
[10.1145/3448891.3448949]

Ricardo Sousa, Conceição Amado, Rui Henriques, 2020, AutoMTS: fully autonomous processing of multivariate time series data from heterogeneous sensor networks, In 16th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine)
[10.1007/978-3-030-77569-8_12]

Diogo Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira, 2020, Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS, In IC on Practical Applications of Computational Biology & Bioinformatics (PACBB), 112-122
[10.1007/978-3-030-54568-0_12]

Pavlo Kovalchuk, Diogo Proença, José Borbinha, Rui Henriques, 2020, Moving from formal towards coherent concept analysis: why, when and how, In The 42nd European Conference on Information Retrieval (ECIR2020)
[10.1007/978-3-030-45439-5_19]

Sofia Cerqueira, Elisabete Arsénio, Rui Henriques, 2020, Integrative analysis of traffic and situational context data to support urban mobility planning, In European Transport Conference (ETC), Milan, Italy

Carlos Lemonde, Elisabete Arsénio, Rui Henriques, 2020, Exploring multimodal mobility patterns with big data in the city of Lisbon, In European Transport Conference (ETC), Milan, Italy

Inês Leite, Anna Carolina Finamore, Rui Henriques, 2020, Context-sensitive modeling of public transport data, In Transport Research Arena (TRA2020), Helsinki

Rui Henriques, Anna Carolina Finamore, Marco Antonio Casanova , 2019, On the Discovery of Educational Patterns using Biclustering, In 15th International Conference on Intelligent Tutoring Systems (ITS), Jamaica
[10.1007/978-3-030-22244-4_17]

Pavlo Kovalchuk, Diogo Proença, José Borbinha, Rui Henriques, 2019, An unsupervised method for concept association analysis in text collections, In 23rd International Conference on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway
[10.1007/978-3-030-30760-8_2]

Rui Henriques, Alexandre P. Francisco, Luís Russo and Hideo Bannai , 2018, Order-preserving Pattern Matching Indeterminate Strings, In 29th Annual Symposium on Combinatorial Pattern Matching (CPM), Qingdao, China
[10.4230/LIPIcs.CPM.2018.2]

Rui Henriques and Sara C. Madeira, 2015, Pattern-based Biclustering with Constraints for Gene Expression Data Analysis, In Computational Methods in Bioinformatics and Systems Biology (EPIA-CMBSB), 326-339, LNAI Series, vol.9273, Springer, Coimbra, Portugal
[10.1007/978-3-319-23485-4_34]

Rui Henriques and Sara C. Madeira, 2015, BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules, In Algorithms in Bioinformatics, 1-15, LNCS Series, vol.9289, Springer Berlin Heidelberg, Atlanta, GA, US
[10.1007/978-3-662-48221-6_1]

Rui Henriques and Cláudia Antunes, 2014, Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-based and Generative Models to Capture Temporal and Cross-Attribute Dependencies, In Hawai International Conference on System Sciences (HICSS), 2562-2569, IEEE Computer Science, Waikoloa, Hawaii
[doi:10.1109/HICSS.2014.322]

Rui Henriques and Cláudia Antunes, 2014, Generative Modeling of Itemset Sequences derived from Real Databases, In IC on Enterprise Information Systems (ICEIS), 264-272, INSTICC, Lisbon, Portugal
[doi:10.5220/0004898302640272]

Rui Henriques and Ana Paiva, 2014, Seven principles to mine flexible behavior from physiological signals for effective emotion recognition and description in affective interactions, In Physiological Computing Systems (PhyCS’14), 75-82, SCITEPRESS, Lisbon, Portugal
[doi:10.5220/0004666400750082]

Rui Henriques and Ana Paiva, 2014, Descriptive Models of Emotion: Learning Useful Abstractions from Physiological Responses during Affective Interactions, In PhyCS Special Session on Recognition of Affect Signals from PhysiologIcal Data for Social Robots (OASIS’14), 393-400, SCITEPRESS, Lisbon, Portugal
[doi:10.5220/0004902703930400]

Rui Henriques, Silvia Moura Pina and Cláudia Antunes, 2013, Temporal Mining of Integrated Healthcare Data: Methods, Revealings and Implications, In SDM’13, 2nd IW on Data Mining for Medicine and Healthcare, 56-64, SIAM, Austin, US

Rui Henriques, Sara C. Madeira and Cláudia Antunes, 2013, F2G: Efficient Discovery of Full-Patterns, In ECML/PKDD IW on New Frontiers to Mine Complex Patterns, Springer-Verlag, Prague, Czech Republic

Rui Henriques, Ana Paiva and Cláudia Antunes, 2013, Accessing Emotion Patterns from Affective Interactions using Electrodermal Activity, In Affective Computing and Intelligent Interaction (ACII’13), 43-48, IEEE Computer Society, Geneva, Switzerland
[doi:10.1109/ACII.2013.14]

Rui Henriques, Ana Paiva and Cláudia Antunes, 2012, On the Need of New Methods to Mine Electrodermal Activity in Emotion-centered Studies, In AAMAS’12, 8th IW on Agents and Data Mining Interaction, Springer-Verlag LNAI series, Valência, Spain
[http://dx.doi.org/10.1007/978-3-642-36288-0_18]

Rui Henriques and António Rito Silva, 2010, Object-centered Process Modeling: Principles to Model Data-intensive Systems, In Business Process Management Workshops (EdBPM’10), Volume 66 of Lecture Notes in Business Information Processing, 683-694, Springer Berlin Heidelberg, New York, U.S.
[http://dx.doi.org/10.1007/978-3-642-20511-8_62]

D. Belchior, L. Madeira, R. Henriques, 2024, Psychopharmacoepidemiological trends in the Portuguese territory during the pandemic and post-pandemic periods (2019–2022),
medRxiv, 24307948
[10.1101/2024.05.26.24307948v1]

L. Alexandre, R. Costa, R. Henriques, 2024, Integrating Statistical Significance and Discriminative Power in Pattern Discovery, arXiv 2401.12000
[10.48550/arXiv.2401.12000]

J.T. Aparicio, E. Arsenio, R. Henriques, 2024, Patterns Beyond Words: Understanding emotional undertone on knowledge graphs, In CISTI IW on Artificial Intelligence and Management

S. Cerqueira, E. Arsenio, R. Henriques, J. Barateiro, 2024, Freight Demand Modeling for Green and Digital Logistics, In Transport Research Arena (TRA)

David Calhas, Rui Henriques, 2023, EEG to fMRI Synthesis for Medical Decision Support: A Case Study on Schizophrenia Diagnosis, In medRxiv, 2023.08.07.23293748
[10.1101/2023.08.07.23293748v1]

A Patricio, RS Costa, R Henriques, 2023, Pattern-centric transformation of omics-data sources grounded on multi-wise gene associations aids predictive tasks in TCGA while ensuring interpretability, In bioRxiv, 2023.05.28.542574
[10.1101/2023.05.28.542574v1]

L Alexandre, RS Costa, R Henriques, 2023, Scaling pattern mining through non-overlapping variable partitioning, arXiv preprint arXiv:2212.05340

Luís Madeira, Guilherme Queiroz, Rui Henriques, 2022, Psychotropic drugs in Portugal from 2016 to 2019: a nationwide pharmacoepidemiological profile, arXiv preprint
[arXiv:2022.09.14.22279819v1]

Vasco D. Silva, Anna Finamore, Rui Henriques, 2022, On the Role of Multi-Objective Optimization to the Transit Network Design Problem, arXiv preprint
[arXiv:2201.11616]

Miguel G. Silva, Rui Henriques, Sara C. Madeira, 2022, User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity, arXiv preprint
[arXiv:2211.08366]

D. Calhas, R. Henriques, 2022, EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships, arXiv preprint
[arXiv:2203.03481]

H. Mochão 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, 106754
[10.1016/j.cmpb.2022.106754]

M. Bubicz, E. Arsenio, R. Henriques, J. Barateiro, 2022, Sustainable Urban Mobility Measures in Response to Covid-19 a Systematic Literature Review and Emerging Policy Challenges, SSRN
[10.2139/ssrn.4055178]

LMS Russo, D Costa, R Henriques, H Bannai, AP Francisco, 2022, Order-Preserving Pattern Matching Indeterminate Strings,
Information and Computation, 104924
[10.1016/j.ic.2022.104924]

M. Bubicz, E. Arsenio, R. Henriques, J. Barateiro, 2022, Sustainable Urban Mobility in response to Covid-19: What comes next?, In 9th EurOMA Forum, Zagreb, Croatia
[10.13140/RG.2.2.24259.07205]

David Calhas and Rui Henriques, 2020, EEG to fMRI Synthesis: Is Deep Learning a Candidate?, arXiv:2009.14133
[https://arxiv.org/abs/2009.14133]

David Calhas and Rui Henriques, 2020, fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser, arXiv:2009.12602
[https://arxiv.org/abs/2009.12602]

André Patrício, Rafael Costa, Rui Henriques, 2020, COVID-19 in Portugal: predictability of hospitalization, ICU and respiratory-assistance needs, medRxiv 2020.09.29.20203141
[10.1101/2020.09.29.20203141]

Rui Henriques, Inês Lynce and Vasco Manquinho, 2012, On When and How to use SAT to Mine Frequent Itemsets, IST/INESC-ID, CoRR journal, abs/1207.6253, Cornell University Library
[http://arxiv.org/abs/1207.6253]

Rui Henriques and Sara C. Madeira, 2015, Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data, Chapter 3, Big Data in Complex Systems: Challenges and Opportunities, Vol. 9 of Studies in Big Data Series, 71-104, Springer International Publishing
[http://dx.doi.org/10.1007/978-3-319-11056-1_3]

Rui Henriques, Cláudia Antunes and Sara C. Madeira, 2014, Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns, Lecture Notes in Computer Science, 100-116, Springer International Publishing
[10.1007/978-3-319-08407-7_7]

Rui Henriques and Ana Paiva, 2014, Learning Effective Models of Emotions from Physiological Signals: The Seven Principles, Physiological Computing Systems, Lecture Notes in Computer Science, pp.137-155, Springer Berlin Heidelberg
[10.1007/978-3-662-45686-6_9]

Rui Henriques and Cláudia Antunes, 2012, On the Need of New Approaches for the Novel Problem of Long-term Prediction over Multi-Dimensional Data, In Computer and Information Science 2012, Volume 429 of Studies in Computational Intelligence, 121-138, Springer Berlin Heidelberg, Shangai, China
[http://dx.doi.org/10.1007/978-3-642-30454-5_9]

S. Cerqueira, E. Arsénio, J. Barateiro, R. Henriques, 2023, Data Analytics to Advance the Inference of Origin-Destination Trips in Public Transport Systems: Tracing Network Vulnerabilities and Age-sensitive Trip Purposes,
In European Transport Conference 2023 (ETC), Milan

J.T. Aparicio, E. Arsenio, R. Henriques, 2023,
Assessing Walkability Conditions Across Cities for Healthier Communities,
In European Transport Conference 2023 (ETC), Milan

Rui P. Duarte, Álvaro Simões, Rui Henriques, and Horácio C. Neto, 2018, FPGA-based OpenCL Accelerator for Discovering Temporal Patterns in Gene Expression Data Using Biclustering, In 6th IW on Parallelism in Bioinformatics (PBio’18), pp. 53-62, ACM
[10.1145/3235830.3235836]

Rui Henriques and Sara C. Madeira, 2014, BiP: Effective Discovery of Overlapping Biclusters using
Flexible Plaid Models, In 13th IW of Data Mining in Bioinformatics (BIOKDD’14), ACM, New York, US

Iolanda Leite, Rui Henriques and Ana Paiva, 2013, Sensors in the Wild: Exploring
Electrodermal Activity in Child-Robot Interaction, In Human-Robot Interaction (HRI’13), ACM Digital Library, Tokyo, Japan
[10.1109/HRI.2013.6483500]

Rui Henriques, Sara C. Madeira and Cláudia Antunes, 2013, IndexSpan: Efficient Discovery of Item-Indexable Sequential Patterns, In ECML/PKDD IW on New Frontiers to Mine Complex Patterns, Springer-Verlag, Prague, Czech Republic

Rui Henriques and Cláudia Antunes, 2012, An Integrated Approach for Healthcare Planning over Multi-Dimensional Data using Long-term Prediction, In Health Information Science, Volume 7231 of Lecture Notes in Computer Science, 36-48, Springer Berlin / Heidelberg, Beijing, China
[http://dx.doi.org/10.1007/978-3-642-29361-0_6]

João Z. Oliveira, Miguel Henriques, and Rui Henriques, 2012, Carbon Markets and Investments: EcoSecurities Investment Case Analysis, In Advanced Analytics for Green and Sustainable Economic Development: Supply Chain Models and Financial Technologies, 15-33, IGI Global
[doi:10.4018/978-1-61350-156-6.ch002]