{"id":1453,"date":"2011-11-09T23:35:44","date_gmt":"2011-11-09T23:35:44","guid":{"rendered":"http:\/\/web.ist.utl.pt\/rmch\/about\/publications"},"modified":"2025-12-23T09:40:43","modified_gmt":"2025-12-23T09:40:43","slug":"publications","status":"publish","type":"page","link":"http:\/\/web.ist.utl.pt\/rmch\/research\/publications","title":{"rendered":"publications"},"content":{"rendered":"

PhD Thesis<\/font><\/h3>\n
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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, 2016, Learning from High-Dimensional Data using Local Descriptive Models<\/a>, PhD Thesis,
\nInstituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Selected Publications in International Journals<\/font><\/h3>\n\n
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H. Shao, R. Henriques, H. Morais, E. Tedeschi, 2026, Attention-enhanced residual networks for real-time multi-label power quality disturbance classification with fast iterative filtering<\/a>, Applied Energy, Volume 406
[10.1016\/j.apenergy.2025.127233]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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M.G. Silva, S.C. Madeira, R. Henriques, 2026, Cutting through the noise: Explaining residuals in multivariate time series with motif analysis<\/a>, Pattern Recognition 169 (2026): 111900
[10.1016\/j.patcog.2025.111900]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nL. Alexandre, R. Costa, R. Henriques, 2025, Integrating statistical significance and discriminative power in pattern discovery<\/a>, Knowledge-Based Systems (KBS)
[10.1016\/j.knosys.2025.113356]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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P. Diniz, T. Yokoe, F. \u00d6ttl, H. Pereira, R. Henriques, K. Samuelsson, 2025, Reasoning-optimised large language models reach near-expert accuracy on board-style orthopaedic exams: A multi-model comparison on 702 multiple-choice questions<\/a>, Knee Surgery, Sports Traumatology, Arthroscopy (KSSTA)
[10.1002\/ksa.70222]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nD.F. Soares, R. Henriques, S.C. Madeira, 2025, TriHSPAM: Triclustering heterogeneous longitudinal clinical data using sequential patterns<\/a>, Pattern Recognition (2025): 111762
[10.1016\/j.patcog.2025.111762]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nE. Arsenio, J.T. Aparicio, R. Henriques, G. Dias, 2025, Assessing the co-evolution of intermodal freight transport research and patenting technology trends for advancing green and intelligent logistics<\/a>, Research in Transportation Business & Management, Vol. 64
[10.1016\/j.rtbm.2025.101553]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nS. Cerqueira, E. Arsenio, J. Barateiro, R. Henriques, 2025, Data analytics to advance the inference of origin\u2013destination in public transport systems: tracing network vulnerabilities and age-sensitive trip purposes<\/a>, European Transport Research Review (ETRR), 17(1), 30
[10.1186\/s12544-025-00720-1]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nJ.T. Aparicio, E. Arsenio, F.C. Santos, R. Henriques, 2024, Walkability defined neighborhoods for sustainable cities<\/a>, Cities 149, 104944
[10.1016\/j.cities.2024.104944]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nL. Alexandre, R.S. Costa, R. Henriques, 2024, TriSig: Evaluating the statistical significance of triclusters<\/a>, Pattern Recognition 149, 110231
[10.1016\/j.patcog.2023.110231]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nJo\u00e3o Palet, Vasco Manquinho, Rui Henriques, 2024, Multiple-Input Neural Networks for Time Series Forecasting Incorporating Historical and Prospective Context<\/a>, Data Mining and Knowledge Discovery (DAMI), 38 (1), 315-341, Springer
\n[10.1007\/s10618-023-00984-y]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nM. G. Silva, S. C. Madeira, R. Henriques, 2024, A Comprehensive Survey on Biclustering-based Collaborative Filtering<\/a>, ACM Computing Surveys (ACM CSUR), 56(12), 1-32
\n[10.1145\/3674723]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nA. Patr\u00edcio, 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<\/a>, In Biotechnology and Bioengineering, Wiley
[10.1002\/bit.28758]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nD.F. Soares, R. Henriques, S.C. Madeira, 2024, Comprehensive assessment of triclustering algorithms for three-way temporal data analysis<\/a>, Pattern Recognition, 110303
[10.1016\/j.patcog.2024.110303]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nMiguel 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<\/a>, Environment and Planning B: Urban Analytics and City Science
\n[10.1177\/23998083231219048]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nS. 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<\/a>, Transportation Engineering 16, 100239
[10.1016\/j.treng.2024.100239]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nJ.T. Apar\u00edcio, E. Arsenio, F.C. Santos, R. Henriques, 2024, Using dynamic knowledge graphs to detect emerging communities of knowledge<\/a>, Knowledge-Based Systems 294, 111671
[10.1016\/j.knosys.2024.111671]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n\nH. Shao, R. Henriques, H. Morais, E. Tedeschi, 2024, Power quality monitoring in electric grid integrating offshore wind energy: A review<\/a>, Renewable and Sustainable Energy Reviews 191, 114094
[10.1016\/j.rser.2023.114094]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nMariana Carrasco, Ant\u00f3nio Rito Silva, Rui Henriques, 2023, Detecting Fraudulent Student Communication in a Multiple Choice Online Test Environment<\/a>, IEEE Transactions on Computational Social Systems (TCSS), (99):1-13
\n[10.1109\/TCSS.2023.3254504]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nLuis Madeira, Guilherme Queirzoz, Rui Henriques, 2023, Prepandemic psychotropic drug status in Portugal: a nationwide pharmacoepidemiological profile<\/a>, Scientific Reports, 13 (1), 6912, Springer Nature
\n[10.1038\/s41598-023-33765-0]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDF 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<\/a>, Scientific Reports 13 (1), 6182, Springer Nature
\n[10.1038\/s41598-023-33223-x]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJ 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\u2019 Scores<\/a>, Sensors, 23(6), 3240
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\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nD.M. Gon\u00e7alves, R. Henriques, R.S. Costa, 2023, Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches<\/a>, Computational and Structural Biotechnology Journal 21, 4960-4973
\n[10.1016\/j.csbj.2023.10.002]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nJ.T. Aparicio, E. Arsenio, F.C. Santos, R. Henriques, 2023, Spatiotemporal trip profiles in public transportation reveal city modular structure<\/a>, Transportation Research Interdisciplinary Perspectives 19, 100840
\n[10.1016\/j.trip.2023.100840]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nAndr\u00e9 Patr\u00edcio, Rafael Costa, Rui Henriques, 2022, On the challenges of predicting treatment response in Hodgkin\u2019s Lymphoma using transcriptomic data<\/a>, BMC Medical Genomics, 16 (Suppl 1), 170
\n[10.1186\/s12920-023-01508-9]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nPedro 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<\/a>, Computers in Biology and Medicine, Elsevier
\n[10.1016\/j.compbiomed.2022.105443]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nLeonardo Alexandre, Rafael Costa, Rui Henriques, 2022, DISA tool: Discriminative and informative subspace assessment with categorical and numerical outcomes<\/a>, Plos ONE 17 (10), e0276253
\n[10.1371\/journal.pone.0276253]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nThomas 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<\/a>, European Transport Research Review (ETRR), Vol.14, Nr.31
\n[10.1186\/s12544-022-00558-x]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nMiguel G. Silva, Sara C. Madeira, Rui Henriques, 2022, Water Consumption Pattern Analysis Using Biclustering: When, Why and How<\/a>, In Water, 14(12), 1954
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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nThomas J. Tiam-Lee, R. Henriques, V. Manquinho, 2022, Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response<\/a>, ISPRS Int. J. Geo-Information, 11(7), 356
\n[10.3390\/ijgi11070356]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJoao T. Aparicio, Elisabete Arsenio, Francisco C. Santos, Rui Henriques, 2022, LINES: muLtImodal traNsportation rEsilience analySis<\/a>, Sustainability, 14(13), 7891
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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDiogo 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<\/a>, Journal of Biomedical Informatics, Volume 134, 104172
\n[10.1016\/j.jbi.2022.104172]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nS. Cerqueira, E. Arsenio, R. Henriques, 2022, Inference of dynamic origin\u2013destination matrices with trip and transfer status from individual smart card data<\/a>, In European Transport Research Review (ETRR) 14.1(2022):42
\n[10.1186\/s12544-022-00562-1]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nA Patr\u00edcio, 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<\/a>, Toxins 14(10), 679
\n[10.3390\/toxins14100679]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJoao T. Aparicio, Elisabete Arsenio, Rui Henriques, 2022, Assessing robustness in multimodal transportation systems: a case study in Lisbon<\/a>, European Transport Research Review (ETRR), Vol.14, Nr.28
\n[10.1186\/s12544-022-00552-3]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nMDM Noronha, R Henriques, SC Madeira, LE Z\u00e1rate, 2022, Impact of metrics on biclustering solution and quality: A review<\/a>, Pattern Recognition, 108612
\n[10.1016\/j.patcog.2022.108612]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2021, FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns<\/a>, Pattern Recognition, Elsevier
\n[10.1016\/j.patcog.2021.107900]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nLeonardo Alexandre, Rafael Costa, L\u00facio Lara Santos and Rui Henriques, 2021, Mining pre-surgical patterns able to discriminate post-surgical outcomes in the oncological domain<\/a>, IEEE Journal of Biomedical and Health Informatics, IEEE EMBS
\n[10.1109\/JBHI.2021.3064786]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nFrancisco Neves, Anna C. Finamore, Sara C. Madeira and Rui Henriques, 2021, Mining actionable patterns of road mobility from heterogeneous traffic data using biclustering<\/a>, IEEE Transactions on Intelligent Transportation Systems
\n[10.1109\/TITS.2021.3057240]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nAndr\u00e9 Patr\u00edcio, Rafael Costa, and Rui Henriques, 2021, COVID-19 in Portugal: predictability of hospitalization, ICU and respiratory-assistance needs<\/a>, Journal of Medical Internet Research (JMIR), 23(4):e26075
\n[10.2196\/26075]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nLeonardo Alexandre, Rafael Costa and Rui Henriques, 2021, DI2: prior-free and multi-item discretization of biological data and its applications<\/a>, BMC Bioinformatics
\n[10.1186\/s12859-021-04329-8]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDaniel Gon\u00e7alves, Rui Henriques, Rafael S. Costa, 2021, Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis<\/a>, Cancers, 13(13):3217
\n[10.3390\/cancers13133217]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nSusana C. Gomes, Susana Vinga, Rui Henriques, 2021, Spatiotemporal Correlation Feature Spaces to support Anomaly Detection in Water Distribution Networks<\/a>, Water, 13(18), 2551, MDPI
\n[10.3390\/w13182551]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nSofia Cerqueira, Elisabete Ars\u00e9nio, Rui Henriques, 2021, On How to Incorporate Public Sources of Situational Context in Descriptive and Predictive Models of Traffic Data<\/a>, European Transport Research Review (ETRR), 13:60, Springer Nature
\n[10.1186\/s12544-021-00519-w]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nCarlos Lemonde, Elisabete Ars\u00e9nio, Rui Henriques, 2021, Integrative Analysis of Multimodal Traffic Data: Addressing Open Challenges using Big Data Analytics in the City of Lisbon<\/a>, European Transport Research Review (ETRR), 13:64, Springer Nature
\n[10.1186\/s12544-021-00520-3]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDaniel Gon\u00e7alves, Rui Henriques, L\u00facio L. Santos, Rafael S. Costa, 2021, On the predictability of postoperative complications for cancer patients: a Portuguese cohort study<\/a>, BMC Medical Informatics and Decision Making, Biomed, Vol. 21, pp. 200
\n[10.1186\/s12911-021-01562-2]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJo\u00e3o Apar\u00edcio, Elisabete Ars\u00e9nio, and Rui Henriques, 2021, Understanding the impacts of the COVID-19 pandemic on public transportation travel patterns in the city of Lisbon<\/a>, Sustainability, MDPI
\n[10.3390\/su13158342]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDavid Calhas, Enrique Romero, Rui Henriques, 2020, On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations<\/a>, Artificial Intelligence in Medicine, Elsevier
\n[10.1016\/j.artmed.2020.101852]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJo\u00e3o Lobo, Rui Henriques, Sara C. Madeira, 2020, G-Tric: generating three-way synthetic datasets with triclustering solutions<\/a>, BMC Bioinformatics, BioMed Central Ltd
\n[10.1186\/s12859-020-03925-4]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2019, Triclustering Algorithms for Three-Dimensional Data Analysis:
\nA Comprehensive Survey<\/a>, ACM Computing Surveys (CSUR), Volume 51, Issue 5, No. 95, pp. 1-43, ACM New York, NY, USA
\n[10.1145\/3195833]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nN.D. Mendes*, R. Henriques*, E. Remy, J. Carneiro Jorge, P.T. Monteiro, C. Chaouiya, 2018, Estimating Attractor Reachability in Asynchronous Logical Models<\/a>, Frontiers in Physiology, Systems Biology, vol.9, pp.1161 (*<\/b> co-first authoring)
\n[10.3389\/fphys.2018.01161]<\/bt><\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2018, BSig: Evaluating the Statistical Significance of Biclustering Solutions<\/a>, Data Mining and Knowledge Discovery, Volume 32, Issue 1, pp 124\u2013161
\n[10.1007\/s10618-017-0521-2]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Francisco L. Ferreira and Sara C. Madeira, 2017, BicPAMS: Software for Biological Data Analysis with Pattern-based Biclustering<\/a>, BMC Bioinformatics, 18:82
\n[10.1186\/s12859-017-149]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2016, BicNET: Flexible module discovery in large-scale biological networks using biclustering<\/a>, Algorithms for Molecular Biology, 11:1–30
\n[10.1186\/s13015-016-0074-8]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2016, BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge<\/a>, Algorithms for Molecular Biology, 11:1–23
\n[10.1186\/s13015-016-0085-5]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Cl\u00e1udia Antunes and Sara C. Madeira, 2015, Generative Modeling of Repositories of Health Records for Predictive Tasks<\/a>, Data Mining and Knowledge Discovery, 29(4):999-1032, Springer US
\n[10.1007\/s10618-014-0385-7]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Cl\u00e1udia Antunes and Sara C. Madeira, 2015, A Structured View on Pattern Mining-based Biclustering<\/a>, Pattern Recognition, 48(12):3941-3958, Elsevier
\n[http:\/\/dx.doi.org\/10.1016\/j.patcog.2015.06.018]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2015, Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes<\/a>, IEEE\/ACM Transactions on Computational Biology and Bioinformatics, 12(4):738-752, IEEE\/ACM
\n[10.1109\/TCBB.2014.2388206]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2014, BicPAM: Pattern-based biclustering for biomedical data analysis<\/a>, Algorithms for Molecular Biology, 9(1):27-, BioMed Central Ltd
\n[10.1186\/s13015-014-0027-z]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Sara C. Madeira and Cl\u00e1udia Antunes, 2015, Multi-period Classification: Learning Sequent Classes from Temporal Domains<\/a>, Data Mining and Knowledge Discovery, 29(3):792-819, Springer US
\n[http:\/\/dx.doi.org\/10.1007\/s10618-014-0376-8]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2014, BicSPAM: Flexible Biclustering using Sequential Patterns<\/a>, BMC Bioinformatics, 15:130, BioMed Central Ltd
\n[doi:10.1186\/1471-2105-15-130]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Selected Articles in International Conferences<\/font><\/h3>\n
\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n<\/br>M.G. Silva, S.C. Madeira R.Henriques, 2025, The Next Motif: Tapping into Recurrence Dynamics
\nand Precursor Signals to Forecast Events of Interest, Proceedings of the AALTD, ECML-PKDD, Porto<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n<\/br>S.Cerqueira, E.Ars\u00e9nio, J.Barateiro, R.Henriques, 2025, A Decision Support System for Public Transport Quality Assessment: Integrative Analytics of Efficiency, Equity, and Multimodality, In Euro Working Group on Transportation Annual Meeting (EWGT2025), Edinburgh, UK<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nM.M. Moreira, G. Ramos, R. Henriques, 2025, Actionable Brain Maps of Transcriptional Regulation of Neurotransmission Activity from Postmortem Cohorts<\/a>, INFORUM, Bioinformatics Track, \u00c9vora, Portugal<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nS.Cerqueira, R.Henriques, J.Barateiro, E.Ars\u00e9nio, 2025, Integrative analytics for advancing decision support in rail-based freight transport, In European Transport Conference (ETC), Antwerp, Belgium<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nE. Machado, R. Henriques, 2024, Chatbot Decision Support with Intent-Rich Structures in the Hospitality Industry<\/a>, Progress in Artificial Intelligence, pp. 333-346, selected proceedings from the EPIA Conference on Artificial Intelligence
\n[10.1007\/978-3-031-73503-5_27]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nS. Cerqueira, J.T. Apar\u00edcio, E. Arsenio, R. Henriques, 2024, Advancing Green and Digital Logistics through Spatio-Temporal Data Integration, In European Transport Conference (ETC)<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nH. Shao, R. Henriques, H. Morais, E. Tedeschi, 2024, Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet<\/a>, In IECON 2024 (50th Annual Conference of the IEEE Industrial Electronics Society), pp. 1-6, Chicago, USA<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n<\/br>M. Dauphinet, R. Henriques*, P.T. Monteiro, 2024, Context-Aware Deep Forecasting: Principles for the Nation-Wide Management of Blood Products<\/a>, Progress in Artificial Intelligence, pp. 359-372, selected proceedings from the EPIA Conference on Artificial Intelligence
\n[10.1007\/978-3-031-73503-5_29]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nH. Shao, R. Henriques, H. Morais, E. Tedeschi, 2024, Automatic Power Quality Disturbance Feature Extraction Using Fast Iterative Filtering<\/a>, In 21st IC on Harmonics and Quality of Power (ICHQP), Chengdu, China
\n[10.1109\/ICHQP61174.2024.10768829]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nDavid Calhas, Rui Henriques, 2023, EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships<\/a>, In Proceedings of Machine Learning Research 219:1\u201323, Machine Learning for Healthcare (MLHC 2023), New York<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
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\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nJoao Tiago Aparicio, Elisabete Arsenio, Rui Henriques, 2023, tex2net: A Package for Storytelling Using Network Models<\/a>, SIGDOC 23: 41st ACM Int. Conf. on Design of Communication, 119\u2013125, Orlando, FL, US
\n[10.1145\/3615335.3623022]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nS. Cerqueira, E. Arsenio, R. Henriques, 2023, Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions?<\/a>, Transportation Research Procedia 72, 3395-3402, Presented in Transport Research Arena 2022 (TRA2022)
\n[10.1016\/j.trpro.2023.11.780]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nDavid Calhas, Rui Henriques, 2023, EEG To FMRI Synthesis: Is Deep Learning a Candidate?<\/a>, In Information Systems Development, Organizational Aspects and Societal Trends (ISD2023), Lisbon, Portugal<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nMarta Bubicz, Elisabete Arsenio, Jos\u00e9 Barateiro, Rui Henriques, 2023, Planning for more resilient urban transportation systems: Lessons learned from the Covid-19 pandemic<\/a>, Transportation Research Procedia 72, 3435-3442, Presented in Transport Research Arena (TRA) 2022
\n[10.1016\/j.trpro.2023.11.780]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDaniel Gon\u00e7alves, Rafael Costa, Rui Henriques, 2022, Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates<\/a>, IC on Advanced Visual Interfaces (AVI)
\n[10.1145\/3531073.3531124]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nElisabete 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
\n[doi soon available]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nS. 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<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nThomas J. Tiam-Lee, R. Henriques, J. Costa, V. Manquinho, H. Galhardas, 2022, Consolidation of Massive Medical Emergency Events With Heterogeneous Situational Context Data Sources<\/a>, In 6th IW on Data Analytics solutions for Real-LIfe APplications (DARLIAP) @ EDBT\/ICDT<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nLeonor P. Silva, Vasco Manquinho, Rui Henriques, 2021, UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles<\/a>, In SIAM International Conference on Data Mining (SDM21)
\n[10.1137\/1.9781611976700.37]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nThomas 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)<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDavid Calhas, Rui Henriques, 2021, fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser<\/a>, In Artificial Intelligence in Medicine (AIME), pp. 25-35
\n[10.1007\/978-3-030-77211-6_3]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nSofia 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)<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDavid Calhas, Rui Henriques, 2021, Fitting Regularized Population Dynamics with Neural Differential Equations<\/a>, The Symbiosis of Deep Learning and Differential Equations (DLDE) Workshop, Neural Information Processing Systems conference (NeurIPS)<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJoao T. Aparicio, Elisabete Arsenio, Rui Henriques, 2021, Assessing Robustness in Multimodal Transportation Systems: A case study in Lisbon, In European Transport Conference (ETC)<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nFrancisco Neves, Anna Finamore, Rui Henriques, 2020, Efficient discovery of emerging patterns in heterogeneous spatiotemporal data from mobile sensors<\/a>, In 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous)
\n[10.1145\/3448891.3448949]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRicardo Sousa, Concei\u00e7\u00e3o Amado, Rui Henriques, 2020, AutoMTS: fully autonomous processing of multivariate time series data from heterogeneous sensor networks<\/a>, In 16th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine)
\n[10.1007\/978-3-030-77569-8_12]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDiogo 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<\/a>, In IC on Practical Applications of Computational Biology & Bioinformatics (PACBB), 112-122
\n[10.1007\/978-3-030-54568-0_12]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nPavlo Kovalchuk, Diogo Proen\u00e7a, Jos\u00e9 Borbinha, Rui Henriques, 2020, Moving from formal towards coherent concept analysis: why, when and how<\/a>, In The 42nd European Conference on Information Retrieval (ECIR2020)
\n[10.1007\/978-3-030-45439-5_19]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nSofia Cerqueira, Elisabete Ars\u00e9nio, Rui Henriques, 2020, Integrative analysis of traffic and situational context data to support urban mobility planning, In European Transport Conference (ETC), Milan, Italy<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nCarlos Lemonde, Elisabete Ars\u00e9nio, Rui Henriques, 2020, Exploring multimodal mobility patterns with big data in the city of Lisbon, In European Transport Conference (ETC), Milan, Italy<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nIn\u00eas Leite, Anna Carolina Finamore, Rui Henriques, 2020, Context-sensitive modeling of public transport data<\/a>, In Transport Research Arena (TRA2020), Helsinki<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Anna Carolina Finamore, Marco Antonio Casanova , 2019, On the Discovery of Educational Patterns using Biclustering<\/a>, In 15th International Conference on Intelligent Tutoring Systems (ITS), Jamaica
\n[10.1007\/978-3-030-22244-4_17]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nPavlo Kovalchuk, Diogo Proen\u00e7a, Jos\u00e9 Borbinha, Rui Henriques, 2019, An unsupervised method for concept association analysis in text collections<\/a>, In 23rd International Conference on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway
\n[10.1007\/978-3-030-30760-8_2]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Alexandre P. Francisco, Lu\u00eds Russo and Hideo Bannai , 2018, Order-preserving Pattern Matching Indeterminate Strings<\/a>, In 29th Annual Symposium on Combinatorial Pattern Matching (CPM), Qingdao, China
\n[10.4230\/LIPIcs.CPM.2018.2]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2015, Pattern-based Biclustering with Constraints for Gene Expression Data Analysis<\/a>, In Computational Methods in Bioinformatics and Systems Biology (EPIA-CMBSB), 326-339, LNAI Series, vol.9273, Springer, Coimbra, Portugal
\n[10.1007\/978-3-319-23485-4_34]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2015, BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules<\/a>, In Algorithms in Bioinformatics, 1-15, LNCS Series, vol.9289, Springer Berlin Heidelberg, Atlanta, GA, US
\n[10.1007\/978-3-662-48221-6_1]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Cl\u00e1udia Antunes, 2014, Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-based and Generative Models to Capture Temporal and Cross-Attribute Dependencies<\/a>, In Hawai International Conference on System Sciences (HICSS), 2562-2569, IEEE Computer Science, Waikoloa, Hawaii
\n[doi:10.1109\/HICSS.2014.322]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Cl\u00e1udia Antunes, 2014, Generative Modeling of Itemset Sequences derived from Real Databases<\/a>, In IC on Enterprise Information Systems (ICEIS), 264-272, INSTICC, Lisbon, Portugal
\n[doi:10.5220\/0004898302640272]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Ana Paiva, 2014, Seven principles to mine flexible behavior from physiological signals for effective emotion recognition and description in affective interactions<\/a>, In Physiological Computing Systems (PhyCS’14), 75-82, SCITEPRESS, Lisbon, Portugal
\n[doi:10.5220\/0004666400750082]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Ana Paiva, 2014, Descriptive Models of Emotion: Learning Useful Abstractions from Physiological Responses during Affective Interactions<\/a>, In PhyCS Special Session on Recognition of Affect Signals from PhysiologIcal Data for Social Robots (OASIS’14), 393-400, SCITEPRESS, Lisbon, Portugal
\n[doi:10.5220\/0004902703930400]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Silvia Moura Pina and Cl\u00e1udia Antunes, 2013, Temporal Mining of Integrated Healthcare Data: Methods, Revealings and Implications<\/a>, In SDM’13, 2nd IW on Data Mining for Medicine and Healthcare, 56-64, SIAM, Austin, US<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nRui Henriques, Sara C. Madeira and Cl\u00e1udia Antunes, 2013, F2G: Efficient Discovery of Full-Patterns<\/a>, In ECML\/PKDD IW on New Frontiers to Mine Complex Patterns, Springer-Verlag, Prague, Czech Republic<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Ana Paiva and Cl\u00e1udia Antunes, 2013, Accessing Emotion Patterns from Affective Interactions using Electrodermal Activity<\/a>, In Affective Computing and Intelligent Interaction (ACII’13), 43-48, IEEE Computer Society, Geneva, Switzerland
\n[doi:10.1109\/ACII.2013.14]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Ana Paiva and Cl\u00e1udia Antunes, 2012, On the Need of New Methods to Mine Electrodermal Activity in Emotion-centered Studies<\/a>, In AAMAS’12, 8th IW on Agents and Data Mining Interaction, Springer-Verlag LNAI series, Val\u00eancia, Spain
\n[http:\/\/dx.doi.org\/10.1007\/978-3-642-36288-0_18]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Ant\u00f3nio Rito Silva, 2010, Object-centered Process Modeling: Principles to Model Data-intensive Systems<\/a>, In Business Process Management Workshops (EdBPM\u201910), Volume 66 of Lecture Notes in Business Information Processing, 683-694, Springer Berlin Heidelberg, New York, U.S.
\n[http:\/\/dx.doi.org\/10.1007\/978-3-642-20511-8_62]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Other Selected Scientific Publications<\/font><\/h3>\n
\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\n 
D. Belchior, L. Madeira, R. Henriques, 2024, Psychopharmacoepidemiological trends in the Portuguese territory during the pandemic and post-pandemic periods (2019\u20132022)<\/a>,
\nmedRxiv, 24307948
\n[10.1101\/2024.05.26.24307948v1]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nL. Alexandre, R. Costa, R. Henriques, 2024, Integrating Statistical Significance and Discriminative Power in Pattern Discovery<\/a>, arXiv 2401.12000
\n[10.48550\/arXiv.2401.12000]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nJ.T. Aparicio, E. Arsenio, R. Henriques, 2024, Patterns Beyond Words: Understanding emotional undertone on knowledge graphs, In CISTI IW on Artificial Intelligence and Management<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n<\/td>\nS. Cerqueira, E. Arsenio, R. Henriques, J. Barateiro, 2024, Freight Demand Modeling for Green and Digital Logistics, In Transport Research Arena (TRA)<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nDavid Calhas, Rui Henriques, 2023, EEG to fMRI Synthesis for Medical Decision Support: A Case Study on Schizophrenia Diagnosis<\/a>, In medRxiv, 2023.08.07.23293748
\n[10.1101\/2023.08.07.23293748v1]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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  <\/td>\n\n\n\n\n
\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nA 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<\/a>, In bioRxiv, 2023.05.28.542574
\n[10.1101\/2023.05.28.542574v1]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nL Alexandre, RS Costa, R Henriques, 2023, Scaling pattern mining through non-overlapping variable partitioning<\/a>, arXiv preprint arXiv:2212.05340<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nLu\u00eds Madeira, Guilherme Queiroz, Rui Henriques, 2022, Psychotropic drugs in Portugal from 2016 to 2019: a nationwide pharmacoepidemiological profile<\/a>, arXiv preprint
\n[arXiv:2022.09.14.22279819v1]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nVasco D. Silva, Anna Finamore, Rui Henriques, 2022, On the Role of Multi-Objective Optimization to the Transit Network Design Problem<\/a>, arXiv preprint
\n[arXiv:2201.11616]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nMiguel G. Silva, Rui Henriques, Sara C. Madeira, 2022, User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity<\/a>, arXiv preprint
\n[arXiv:2211.08366]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nD. Calhas, R. Henriques, 2022, EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships<\/a>, arXiv preprint
\n[arXiv:2203.03481]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nH. Moch\u00e3o et al., IPOscore: an interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain<\/a>, Computer Methods and Programs in Biomedicine, 106754
\n[10.1016\/j.cmpb.2022.106754]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nM. 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<\/a>, SSRN
\n[10.2139\/ssrn.4055178]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nLMS Russo, D Costa, R Henriques, H Bannai, AP Francisco, 2022, Order-Preserving Pattern Matching Indeterminate Strings<\/a>,
\nInformation and Computation, 104924
\n[10.1016\/j.ic.2022.104924]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nM. Bubicz, E. Arsenio, R. Henriques, J. Barateiro, 2022, Sustainable Urban Mobility in response to Covid-19: What comes next?<\/a>, In 9th EurOMA Forum, Zagreb, Croatia
\n[10.13140\/RG.2.2.24259.07205]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nDavid Calhas and Rui Henriques, 2020, EEG to fMRI Synthesis: Is Deep Learning a Candidate?<\/a>, arXiv:2009.14133
\n[https:\/\/arxiv.org\/abs\/2009.14133]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nDavid Calhas and Rui Henriques, 2020, fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser<\/a>, arXiv:2009.12602
\n[https:\/\/arxiv.org\/abs\/2009.12602]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nAndr\u00e9 Patr\u00edcio, Rafael Costa, Rui Henriques, 2020, COVID-19 in Portugal: predictability of hospitalization, ICU and respiratory-assistance needs<\/a>, medRxiv 2020.09.29.20203141
\n[10.1101\/2020.09.29.20203141]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, In\u00eas Lynce and Vasco Manquinho, 2012, On When and How to use SAT to Mine Frequent Itemsets<\/a>, IST\/INESC-ID, CoRR journal, abs\/1207.6253, Cornell University Library
\n[http:\/\/arxiv.org\/abs\/1207.6253]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

Selected Chapters in Scientific Books<\/font><\/h3>\n

(first author)<\/font><\/p>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2015, Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data<\/a>, Chapter 3, Big Data in Complex Systems: Challenges and Opportunities, Vol. 9 of Studies in Big Data Series, 71-104, Springer International Publishing
\n[http:\/\/dx.doi.org\/10.1007\/978-3-319-11056-1_3]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nRui Henriques, Cl\u00e1udia Antunes and Sara C. Madeira, 2014, Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns<\/a>, Lecture Notes in Computer Science, 100-116, Springer International Publishing
\n[10.1007\/978-3-319-08407-7_7]<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nRui Henriques and Ana Paiva, 2014, Learning Effective Models of Emotions from Physiological Signals: The Seven Principles<\/a>, Physiological Computing Systems, Lecture Notes in Computer Science, pp.137-155, Springer Berlin Heidelberg
\n[10.1007\/978-3-662-45686-6_9]<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Cl\u00e1udia Antunes, 2012, On the Need of New Approaches for the Novel Problem of Long-term Prediction over Multi-Dimensional Data<\/a>, In Computer and Information Science 2012, Volume 429 of Studies in Computational Intelligence, 121-138, Springer Berlin Heidelberg, Shangai, China
\n[http:\/\/dx.doi.org\/10.1007\/978-3-642-30454-5_9]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

Additional Scientific Publications<\/font><\/h3>\n
<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nS. Cerqueira, E. Ars\u00e9nio, 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<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\n\"pdf\"<\/a><\/td>\n\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJ.T. Aparicio, E. Arsenio, R. Henriques, 2023,
Assessing Walkability Conditions Across Cities for Healthier Communities,
In European Transport Conference 2023 (ETC), Milan<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui P. Duarte, \u00c1lvaro Sim\u00f5es, Rui Henriques, and Hor\u00e1cio C. Neto, 2018, FPGA-based OpenCL Accelerator for Discovering Temporal Patterns in Gene Expression Data Using Biclustering<\/a>, In 6th IW on Parallelism in Bioinformatics (PBio’18), pp. 53-62, ACM
\n[10.1145\/3235830.3235836]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Sara C. Madeira, 2014, BiP: Effective Discovery of Overlapping Biclusters using
\nFlexible Plaid Models<\/a>, In 13th IW of Data Mining in Bioinformatics (BIOKDD’14), ACM, New York, US<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nIolanda Leite, Rui Henriques and Ana Paiva, 2013, Sensors in the Wild: Exploring
\nElectrodermal Activity in Child-Robot Interaction<\/a>, In Human-Robot Interaction (HRI’13), ACM Digital Library, Tokyo, Japan
\n[10.1109\/HRI.2013.6483500]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\nRui Henriques, Sara C. Madeira and Cl\u00e1udia Antunes, 2013, IndexSpan: Efficient Discovery of Item-Indexable Sequential Patterns<\/a>, In ECML\/PKDD IW on New Frontiers to Mine Complex Patterns, Springer-Verlag, Prague, Czech Republic<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques and Cl\u00e1udia Antunes, 2012, An Integrated Approach for Healthcare Planning over Multi-Dimensional Data using Long-term Prediction<\/a>, In Health Information Science, Volume 7231 of Lecture Notes in Computer Science, 36-48, Springer Berlin \/ Heidelberg, Beijing, China
\n[http:\/\/dx.doi.org\/10.1007\/978-3-642-29361-0_6]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nJo\u00e3o Z. Oliveira, Miguel Henriques, and Rui Henriques, 2012, Carbon Markets and Investments: EcoSecurities Investment Case Analysis<\/a>, In Advanced Analytics for Green and Sustainable Economic Development: Supply Chain Models and Financial Technologies, 15-33, IGI Global
\n[doi:10.4018\/978-1-61350-156-6.ch002]<\/td>\n		  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, 2010, Object-centered Process Modeling: Towards a Modeling Approach for Data-Intensive Systems<\/a>, Lisboa, MSc dissertation [full<\/a>, summary<\/a>]<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Miguel Henriques and Jo\u00e3o Z. Oliveira, 2010, Analysis of an Investment Decision in the Carbon Market: The EcoSecurities’ VAM Project<\/a>, In IASK\u201910 proceedings, Oviedo, Spain<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n

<\/p>\n\n\n\n
  <\/td>\n\n\n\n\n
\"pdf\"<\/a><\/td>\n\"bibtex\"<\/a><\/td>\n<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n  <\/td>\n\nRui Henriques, Miguel Henriques and Phil Hunte, 2009, Meta-heuristic Approaches Consolidation for the Edge-Weighted K-Cardinality Tree Problem<\/a>, Technical Report (IN4082), Technical University of Delft<\/td>\n  <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

PhD Thesis Selected Publications in International Journals Selected Articles in International Conferences Other Selected Scientific Publications Selected Chapters in Scientific Books (first author) Additional Scientific Publications<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1427,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1453","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1453","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/comments?post=1453"}],"version-history":[{"count":245,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1453\/revisions"}],"predecessor-version":[{"id":2734,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1453\/revisions\/2734"}],"up":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1427"}],"wp:attachment":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/media?parent=1453"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}