Selected publications in Q1 scientific journals (ISI/SJR)

1. Francisco Neves, Anna Finamore, Sara Madeira and Rui Henriques, 2021
Mining actionable patterns of road mobility from heterogeneous traffic data using biclustering
In IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS)
[10.1109/TITS.2021.3057240]
https://ieeexplore.ieee.org/document/9357483

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
In Sustainability, MDPI
[10.3390/su13158342]
https://www.mdpi.com/2071-1050/13/15/8342

3. 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]
https://etrr.springeropen.com/articles/10.1186/s12544-021-00519-w

4. 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]
https://etrr.springeropen.com/articles/10.1186/s12544-021-00520-3

5. Gabriel Dias, Elisabete Arsenio, Paulo Ribeiro, 2021
The role of shared E-Scooter systems in urban sustainability and resilience during the Covid-19 mobility restrictions
In Sustainability, 13(13), 7084
[10.3390/su13137084]
https://doi.org/10.3390/su13137084

6. 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
[10.1145/3195833]
http://web.ist.utl.pt/rmch/upload/publications/ACM_CSUR_TricSurvey_HenriquesMadeira2018.pdf

Publications in scientific peer-reviewed conferences of high visibility

7. 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 (SDM)
[10.1137/1.9781611976700.37]
https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.37

8. Guilherme S. Varela, Pedro P. Santos, Alberto Sardinha, Francisco S. Melo, 2021
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
AAAI Workshop on AI for Urban Mobility (AI4UM)
http://aium2021.felk.cvut.cz/papers/AI4UM_paper_2.pdf

9. 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)
http://web.ist.utl.pt/rmch/upload/publications/InferenceDynamicOD_ETC_CerqueiraArsenioHenriques.pdf

10. 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)
http://web.ist.utl.pt/rmch/upload/publications/WhereAreThePassengers_ETC_TiamLeeHenriques.pdf

11. Carlos Lemonde, Elisabete Arsenio, Rui Henriques, 2021
Public transportation multimodality in the City of Lisbon
Transportation Research Procedia, 58 (2021): 75-82
https://www.sciencedirect.com/science/article/pii/S2352146521007705

12. Joao T. Aparicio, Elisabete Arsenio, Rui Henriques, 2021
Assessing Robustness in Multimodal Transportation Systems: A case study in Lisbon
In European Transport Conference (ETC)
http://web.ist.utl.pt/rmch/upload/publications/RobustnessMultimodalTransportation_ETC_AparicioArsenioHenriques.pdf

13. David Calhas, Rui Henriques, 2021
Fitting Regularized Population Dynamics with Neural Differential Equations
In the The Symbiosis of Deep Learning and Differential Equations Workshop, Neural Information Processing Systems conference (DLDE, NeurIPS)
https://openreview.net/pdf?id=v7zNWgyirXX

14. Gabriel Dias, Elisabete Arsenio, Paulo Ribeiro, 2021
Analysis of e-scooter usage in Portugal to contribute to sustainable mobility planning
In Proceedings of the 49th European Transport Conference (ETC)
https://www.dropbox.com/s/85ee7tu6asoelsg/ETC2021_Paper_GDPREA_Micromobility.pdf?dl=0

15. Hussein Sacoor, Elisabete Arsenio, Elsa Cardoso, José Barateiro, 2021
How to ensure the provision of social inclusive bus services? A strategic case study in Lisbon
In Proceedings of the 49th European Transport Conference (ETC)
https://www.dropbox.com/s/heiusg4fptnmxsy/ETC2021_Paper_HSEAECJB_2021_7349.pdf?dl=0

16. Francisco Neves, Anna Finamore, Rui Henriques, 2020
Efficient discovery of emerging patterns in heterogeneous spatiotemporal data from mobile sensors
In EAI Int. Conf. on Mobile and Ubiquitous Systems: Computing, Networking and Services
(MobiQuitous)
[10.1145/3448891.3448949]
http://web.ist.utl.pt/rmch/upload/publications/EmergingPatterns_MobiQuitous_NevesFinamoreHenriques.pdf

17. Ricardo Sousa, Conceição Amado, Rui Henriques, 2020
AutoMTS: fully autonomous processing of multivariate time series data from heterogeneous sensor networks
In EAI Int. Conf. on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine)
[10.1007/978-3-030-77569-8 12]
http://web.ist.utl.pt/rmch/upload/publications/QShine_SousaConceicaoHenriques.pdf

18. 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)
http://web.ist.utl.pt/rmch/upload/publications/ContextAwareTrafficDataAnalysis_ETC_CerqueiraArsenioHenriques.pdf

19. 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 (ECIR)
[10.1007/978-3-030-45439-5 19]
http://web.ist.utl.pt/rmch/upload/publications/FromFormalToCoherentConceptAnalysis_ECIR2020.pdf

20. 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
http://web.ist.utl.pt/rmch/upload/publications/MultimodalDataAnalysis_ETC_LemondeArsenioHenriques.pdf

21. João Rico, José Barateiro, Arlindo Oliveira, 2019
Graph neural networks for traffic forecasting
In OMAINTEC
https://www.dropbox.com/s/ae122j0aoindq3f/A01_oimantec19_graph-nn-traffic-forecasting.pdf?dl=0

22. Inês Leite, Anna Carolina Finamore, Rui Henriques, 2020
Context-sensitive modeling of public transport data
In Transport Research Arena (TRA)
http://web.ist.utl.pt/rmch/upload/publications/TRA_ContextModelingTransportData_LeiteFinamoreHenriques.pdf

Related scientific publications in Q1 journals (ISI/SJR)

An additional set of contributions, of a more theoretical nature, provide computational principles that underlie some of the facilities available in the target recommendation system (ILU APP):

23. Rui Henriques, Sara C. Madeira, 2021
FleBiC: Learning classifiers from high-dimensional data using discriminative biclusters with non-constant patterns
In Pattern Recognition
[10.1016/j.patcog.2021.107900]
https://www.sciencedirect.com/science/article/abs/pii/S003132032100087X

24. Susana Gomes, Susana Vinga, Rui Henriques, 2021
Spatiotemporal Correlation Feature Spaces to support Anomaly Detection in Water Distribution Networks
In Water, 13(18), 2551, MDPI
[10.3390/w13182551]
https://www.mdpi.com/2073-4441/13/18/2551

25. Leonardo Alexandre, Rafael Costa, Rui Henriques, 2021
DI2: prior-free and multi-item discretization and its applications
In BMC Bioinformatics
[10.1186/s12859-021-04329-8]
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04329-8

26. David Calhas, Enrique Romero, Rui Henriques, 2020
On the use of Pairwise Distance Learning for Signal Classification with Limited Observations
Artificial Intelligence in Medicine, Elsevier
[10.1016/j.artmed.2020.101852]
https://www.sciencedirect.com/science/article/pii/S0933365719311261

27. João Lobo, Rui Henriques, Sara C. Madeira, 2020
G-Tric: generating three-way synthetic datasets with triclustering solutions
BMC Bioinformatics
[10.1186/s12859-020-03925-4]
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03925-4


Other relevant publications

We highlight four additional and focal manuscripts, accessible via arXiv and under revision in top journals:

28. Vasco D. Silva, Anna Finamore, Rui Henriques, 2021
On the Role of Multi-Objective Optimization to the Transit Network Design Problem
arXiv preprint arXiv:2201.11616
https://arxiv.org/pdf/2201.11616.pdf

29. Pedro P. Santos, Francisco S. Melo, Alberto Sardinha, D. S. Carvalho, 2021
Understanding the Impact of Data Distribution on Q-learning with Function Approximation
arXiv preprint arXiv:2111.11758
https://arxiv.org/pdf/2111.11758.pdf

30. João Rico, José Barateiro, Arlindo Oliveira, 2021
Graph Neural Networks for Traffic Forecasting
arXiv preprint arXiv:2104.13096
https://arxiv.org/ftp/arxiv/papers/2104/2104.13096.pdf

31. Cláudio Sardinha, Anna Finamore, Rui Henriques, 2021
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context
arXiv preprint arXiv:2105.01125
https://arxiv.org/pdf/2105.01125.pdf