Rui Henriques
Orcid: 0000-0002-3993-0171
According to our database1,
Rui Henriques
authored at least 72 papers
between 2010 and 2024.
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Bibliography
2024
ACM Comput. Surv., December, 2024
BMC Bioinform., December, 2024
Detecting Fraudulent Student Communication in a Multiple Choice Online Test Environment.
IEEE Trans. Comput. Soc. Syst., February, 2024
Multiple-input neural networks for time series forecasting incorporating historical and prospective context.
Data Min. Knowl. Discov., January, 2024
Comprehensive assessment of triclustering algorithms for three-way temporal data analysis.
Pattern Recognit., 2024
Pattern Recognit., 2024
Knowl. Based Syst., 2024
CoRR, 2024
Proceedings of the Progress in Artificial Intelligence, 2024
Context-Aware Deep Forecasting: Principles for the Nation-Wide Management of Blood Products.
Proceedings of the Progress in Artificial Intelligence, 2024
2023
BMC Bioinform., December, 2023
Movement Prototypes in a Complex Teamgym Gymnastics Technique on the Vaulting Table and Their Relationship with Judges' Scores.
Sensors, March, 2023
Proceedings of the 41st ACM International Conference on Design of Communication, 2023
Proceedings of the Machine Learning for Healthcare Conference, 2023
Proceedings of the Information Systems Development: Organizational Aspects and Societal Trends (ISD2023 Proceedings), Lisbon, Portugal, 30 August, 2023
2022
Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering.
IEEE Trans. Intell. Transp. Syst., 2022
Pattern Recognit., 2022
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2022
Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response.
ISPRS Int. J. Geo Inf., 2022
User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity.
CoRR, 2022
CoRR, 2022
IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain.
Comput. Methods Programs Biomed., 2022
Enrichment analysis on regulatory subspaces: A novel direction for the superior description of cellular responses to SARS-CoV-2.
Comput. Biol. Medicine, 2022
Consolidation of Massive Medical Emergency Events With Heterogeneous Situational Context Data Sources.
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022
Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates.
Proceedings of the AVI 2022: International Conference on Advanced Visual Interfaces, Frascati, Rome, Italy, June 6, 2022
2021
Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain.
IEEE J. Biomed. Health Informatics, 2021
FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns.
Pattern Recognit., 2021
On the predictability of postoperative complications for cancer patients: a Portuguese cohort study.
BMC Medical Informatics Decis. Mak., 2021
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context.
CoRR, 2021
DI2: prior-free and multi-item discretization ofbiomedical data and its applications.
CoRR, 2021
BMC Bioinform., 2021
DI2: prior-free and multi-item discretization of biological data and its applications.
BMC Bioinform., 2021
An ArchiMate-Based Approach to ISO 9001: 2015 Quality Management: Shifting to IT-Enabled Documented Information.
Proceedings of the 23rd Conference on Business Informatics, 2021
UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
On the use of pairwise distance learning for brain signal classification with limited observations.
Artif. Intell. Medicine, 2020
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020
Efficient discovery of emerging patternsin heterogeneous spatiotemporal data from mobile sensors.
Proceedings of the MobiQuitous '20: Computing, 2020
Proceedings of the Advances in Information Retrieval, 2020
2019
Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey.
ACM Comput. Surv., 2019
Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019
Proceedings of the Digital Libraries for Open Knowledge, 2019
2018
Data Min. Knowl. Discov., 2018
FPGA-based OpenCL Accelerator for Discovering Temporal Patterns in Gene Expression Data Using Biclustering.
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, 2018
Proceedings of the Annual Symposium on Combinatorial Pattern Matching, 2018
2017
Erratum to: BicPAMS: software for biological data analysis with pattern-based biclustering.
BMC Bioinform., 2017
BMC Bioinform., 2017
2016
BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge.
Algorithms Mol. Biol., 2016
BicNET: Flexible module discovery in large-scale biological networks using biclustering.
Algorithms Mol. Biol., 2016
2015
Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Data Min. Knowl. Discov., 2015
Data Min. Knowl. Discov., 2015
BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules.
Proceedings of the Algorithms in Bioinformatics - 15th International Workshop, 2015
Proceedings of the Progress in Artificial Intelligence, 2015
2014
Algorithms Mol. Biol., 2014
Learning Effective Models of Emotions from Physiological Signals: The Seven Principles.
Proceedings of the Physiological Computing Systems, 2014
Descriptive Models of Emotion - Learning Useful Abstractions from Physiological Responses during Affective Interactions.
Proceedings of the PhyCS 2014, 2014
Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions.
Proceedings of the PhyCS 2014, 2014
Proceedings of the ICEIS 2014, 2014
Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-Based and Generative Models to Capture Temporal and Cross-Attribute Dependencies.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014
2013
Proceedings of the New Frontiers in Mining Complex Patterns, 2013
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013
Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013
2012
An Integrated Approach for Healthcare Planning over Multi-dimensional Data Using Long-Term Prediction.
Proceedings of the Health Information Science - First International Conference, 2012
On the Need of New Methods to Mine Electrodermal Activity in Emotion-Centered Studies.
Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012
2010
Proceedings of the Business Process Management Workshops, 2010