Publications

Articles

International Journal Articles: 28

2023

- Mariana Carrasco and António Rito Silva and Rui Miguel Carrasqueiro Henriques, Detecting fraudulent student communication in a multiple choice online test environment, article in IEEE Transactions on Computational Social Systems, Mar. 2023, IEEE [DOI Article link] [bibTex]
- Joana Barreto and Rui Miguel Carrasqueiro Henriques and Silvia Cabral and Bruno Pedro and Cesar Peixoto and Antonio Veloso, Movement Prototypes in a Complex Teamgym Gymnastics Technique on the Vaulting Table and Their Relationship with Judges’ Scores, article in Sensors pp. 23(6), 3240, Feb. 2023 [bibTex]

2022

- João Tiago Aparicio and Elisabete Arsenio and Rui Miguel Carrasqueiro Henriques, Assessing Robustness in Multimodal Transportation Systems: A case study in Lisbon, article in European Transport Research Review, to appear on 2022 [bibTex]
- Leonardo Alexandre and Rafael S. Costa and Rui Miguel Carrasqueiro Henriques, DISA tool: discriminative and informative subspace assessment with categorical and numerical outcomes, article in PLOS ONE, to appear on 2022 [bibTex]
- João Tiago Aparicio and Elisabete Arsenio and Francisco C. Santos and Rui Miguel Carrasqueiro Henriques, LINES: muLtImodal traNsportation rEsilience analySis, article in Sustainability, to appear on 2022, MDPI [bibTex]
- Luís M. S. Russo and Diogo Manuel dos Santos Costa and Rui Miguel Carrasqueiro Henriques and Hideo Bannai and A. P. Francisco, Order-Preserving Pattern Matching Indeterminate Strings, article in Information and Computation, to appear on 2022 [bibTex]
- Miguel Garção Silva and Sara C. Madeira and Rui Miguel Carrasqueiro Henriques, Water Consumption Pattern Analysis Using Biclustering: When, Why and How, article in Water, to appear on 2022, MDPI [DOI Article link] [bibTex]
- João Palet and Vasco Manquinho and Rui Miguel Carrasqueiro Henriques, Multiple-Input Neural Networks for Time Series Forecasting Incorporating Historical and Prospective Context, article in Data Mining and Knowledge Discovery, Nov. 2022 [bibTex]
- André Patrício and Marta B. Lopes and Pedro R. Costa and Rafael S. Costa and Rui Miguel Carrasqueiro Henriques and Susana Vinga, Time-lagged correlation analysis of shellfish toxicity reveals predictive links to adjacent areas, species, and environmental conditions, article in Toxins, Sep. 2022 [bibTex]
- Diogo F. Soares and Rui Miguel Carrasqueiro Henriques and Marta Gromicho and Mamede Carvalho and Sara C. Madeira, Learning Prognostic Models Using a Mixture of Biclustering and Triclustering: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis, article in Journal of Biomedical Informatics, Aug. 2022 [bibTex]
- Thomas Tiam-Lee and Rui Miguel Carrasqueiro Henriques and Vasco Manquinho, Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response, article in International Journal of Geo-Information, Jun. 2022 [bibTex]
- Thomas Tiam-Lee and Rui Miguel Carrasqueiro Henriques, Route choice estimation in rail transit systems using smart card data: handling vehicle schedule and walking time uncertainties, article in European Transport and Research Review (ETRR), Jun. 2022 [bibTex]
- André Patrício and Rafael S. Costa and Rui Miguel Carrasqueiro Henriques, On the challenges of predicting treatment response in Hodgkin’s Lymphoma using transcriptomic data, article in BMC Genomics, May. 2022, BioMed Central Ltd [bibTex]
- Pedro Rodrigues and Rafael S. Costa and Rui Miguel Carrasqueiro Henriques, Enrichment analysis on regulatory subspaces: a novel direction for the superior description of cellular responses to SARS-CoV-2, article in Computers in Biology and Medicine, Elsevier, Mar. 2022, Elsevier [bibTex]
- Marta Noronha and Rui Miguel Carrasqueiro Henriques and Sara C. Madeira and Luis E. Zárate, Impact of metrics on biclustering solution and quality: a review, article in Pattern Recognition, Feb. 2022, Elsevier [bibTex]
- Hugo Mochão and Daniel Mateus Gonçalves and Leonardo Duarte Rodrigues Alexandre and Carolina Castro and Duarte Valerio and Pedro Barahona and Daniel Moreira Gonçalves and Paulo Matos da Costa and Rui Miguel Carrasqueiro Henriques and Lucio L. Santos and Rafael S. Costa, IPOscore: an interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain, article in Computer Methods and Programs in Biomedicine, Feb. 2022, Elsevier [bibTex]

2021

- Carlos Eduardo Rodrigues Lemonde Macedo and Elisabete Arsénio and Rui Miguel Carrasqueiro Henriques, Integrative Analysis of Multimodal Traffic Data: Addressing Open Challenges using Big Data Analytics in the City of Lisbon, article in European Transport Research Review (ETRR), Dec. 2021 [bibTex]
- Leonardo Duarte Rodrigues Alexandre and Rafael Costa and Lúcio Lara Santos and Rui Miguel Carrasqueiro Henriques, Mining pre-surgical patterns able to discriminate post-surgical outcomes in the oncological domain, article in IEEE Journal of Biomedical and Health Informatics, to appear on 2021, IEEE EMBS [bibTex]
- Sofia Maria Pais Cerqueira and Elisabete Arsénio and Rui Miguel Carrasqueiro Henriques, On How to Incorporate Public Sources of Situational Context in Descriptive and Predictive Models of Traffic Data, article in European Transport Research Review (ETRR), Dec. 2021 [bibTex]
- Daniel Mateus Gonçalves and Rui Miguel Carrasqueiro Henriques and Lucio Santos and Rafael Costa, On the predictability of postoperative complications for cancer patients: a Portuguese cohort study, article in BMC Medical Informatics and Decision Making, to appear on 2021 [bibTex]
- Daniel Mateus Gonçalves and Rui Miguel Carrasqueiro Henriques and Rafael Costa, Predicting postoperative complications in cancer patients: A survey bridging classical and machine learning contributions to postsurgical risk analysis, article in Cancers, MDPI, to appear on 2021 [bibTex]
- Leonardo Duarte Rodrigues Alexandre and Rafael Costa and Rui Miguel Carrasqueiro Henriques, DI2: prior-free and multi-item discretization of biological data and its applications, article in BMC Bioinformatics, Sep. 2021 [bibTex]
- Susana Chambel Gonçalves Correia Gomes and Susana Vinga and Rui Miguel Carrasqueiro Henriques, Spatiotemporal Correlation Feature Spaces to support Anomaly Detection in Water Distribution Networks, article in Water, Sep. 2021, MDPI [bibTex]
- João Tiago Aparicio and Elisabete Arsénio and Rui Miguel Carrasqueiro Henriques, Understanding the impacts of the COVID-19 pandemic on public transportation travel patterns in the city of Lisbon, article in Sustainability, Jul. 2021, MDPI [bibTex]
- André Patrício and Rafael Costa and Rui Miguel Carrasqueiro Henriques, COVID-19 in Portugal: predictability of hospitalization, ICU and respiratory-assistance needs, article in Journal of Medical Internet Research (JMIR, https://www.jmir.org), Mar. 2021 [bibTex]
- Rui Miguel Carrasqueiro Henriques and Sara C. Madeira, FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns, article in Pattern Recognition, Feb. 2021, Elsevier [bibTex]
- João Lobo and Rui Miguel Carrasqueiro Henriques and Sara C. Madeira, G-Tric: generating three-way synthetic datasets with triclustering solutions, article in BMC Bioinformatics, Jan. 2021 [Article] [bibTex]
- Francisco Miguel Consciência Neves and Anna Carolina Nametala Finamore do Couto and Sara C. Madeira and Rui Miguel Carrasqueiro Henriques, Mining actionable patterns of road mobility from heterogeneous traffic data using biclustering, article in IEEE Transactions on Intelligent Transportation Systems, Jan. 2021, IEEE [bibTex]

International Conferences: 12

2022

- João Tiago Aparicio and Elisabete Arsenio and Rui Miguel Carrasqueiro Henriques, Advances in the spatiotemporal profiling of public transport users in the city of Lisbon, presented at Transport Research Arena (TRA), to appear on 2022 [bibTex]
- Daniel Mateus Gonçalves and Rafael S. Costa and Rui Miguel Carrasqueiro Henriques, Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates, presented at International Conference on Advanced Visual Interfaces (AVI), to appear on 2022 [bibTex]
- Sofia Maria Pais Cerqueira and Elisabete Arsenio and Rui Miguel Carrasqueiro Henriques, Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions?, presented at Transport Research Arena (TRA), to appear on 2022 [bibTex]
- Marta Bubicz and Elisabete Arsenio and José Barateiro and Rui Miguel Carrasqueiro Henriques, Planning for more resilient urban transportation systems: Lessons learned from the Covid-19 pandemic, presented at Transport Research Arena (TRA), to appear on 2022 [bibTex]
- Marta Bubicz and Elisabete Arsenio and Rui Miguel Carrasqueiro Henriques and José Barateiro, Sustainable Urban Mobility in response to Covid-19: What comes next?, presented at EurOMA Forum, to appear on 2022 [bibTex]
- Thomas Tiam-Lee and Rui Miguel Carrasqueiro Henriques and José Costa and Vasco Manquinho and Helena Galhardas, Consolidation of massive medical emergency events with heterogeneous situational context data sources, presented at 6th International workshop on Data Analytics solutions for Real-LIfe APplications @ EDBT/ICDT 2022, Mar. 2022 [bibTex] [PDF]

2021

- David António Cóias Calhas and Rui Miguel Carrasqueiro Henriques, Fitting Regularized Population Dynamics with Neural Differential Equations, presented at NeurIPS 2021, The Symbiosis of Deep Learning and Differential Equations (DLDE) workshop, Dec. 2021 [bibTex]
- João Tiago Aparicio and Elisabete Arsenio and Rui Miguel Carrasqueiro Henriques, Assessing Robustness in Multimodal Transportation Systems: A case study in Lisbon, presented at European Transport Conference (ETC), Sep. 2021 [bibTex]
- Sofia Maria Pais Cerqueira and Elisabete Arsenio and Rui Miguel Carrasqueiro Henriques, Inference of Dynamic Origin-Destination Matrices with Trip and Transfer Status from Individual Smart Card Data, presented at European Transport Conference (ETC), Sep. 2021 [bibTex]
- Thomas Tiam-Lee and Rui Miguel Carrasqueiro Henriques, Where are the Passengers? Individual Passenger Route Choice Estimation from Gate Information in Urban Rail Transit Systems, presented at European Transport Conference (ETC), Sep. 2021 [bibTex]
- Leonor Pimenta de Oliveira e Silva and Helena Galhardas and Vasco Manquinho and Rui Miguel Carrasqueiro Henriques, UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles, presented at SIAM International Conference on Data Mining, Apr. 2021 [bibTex]
- David António Cóias Calhas and Rui Miguel Carrasqueiro Henriques, fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser, presented at Artificial Intelligence in Medicine (AIME), Feb. 2021 [bibTex]

as Editors

Other Publications: 6

2022

- David António Cóias Calhas and Rui Miguel Carrasqueiro Henriques, editors, EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships, arXiv:2203.03481, to appear on 2022, arXiv [bibTex]
- Vasco D. Silva and Anna Carolina Nametala Finamore do Couto and Rui Miguel Carrasqueiro Henriques, editors, On the Role of Multi-Objective Optimization to the Transit Network Design Problem, arXiv:2201.11616, to appear on 2022, arXiv [bibTex]
- Luís Madeira and Guilherme Queiroz and Rui Miguel Carrasqueiro Henriques, editors, Psychotropic drugs in Portugal from 2016 to 2019: a nationwide pharmacoepidemiological profile, 2022.09.14.22279819, Dec. 2022, medRxiv [bibTex]
- Leonardo Duarte Rodrigues Alexandre and Rafael Costa and Rui Miguel Carrasqueiro Henriques, editors, Scaling pattern mining through non-overlapping variable partitioning, arXiv:2212.05340, to appear on 2022, arXiv [bibTex]
- Marta Bubicz and Elisabete Arsenio and Rui Miguel Carrasqueiro Henriques and José Barateiro, editors, Sustainable Urban Mobility Measures in Response to Covid-19 a Systematic Literature Review and Emerging Policy Challenges, 10.2139/ssrn.4055178, to appear on 2022, SSRN [bibTex]
- Miguel Silva and Rui Miguel Carrasqueiro Henriques and Sara C. Madeira, editors, User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity, arXiv:2211.08366, to appear on 2022, arXiv [bibTex]