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2020 – today
- 2024
[j33]Eduardo N. Castanho, João Lobo, Rui Henriques, Sara C. Madeira:
Correction: G-bic: generating synthetic benchmarks for biclustering. BMC Bioinform. 25(1): 16 (2024)- [j32]João Palet, Vasco Manquinho
, Rui Henriques:
Multiple-input neural networks for time series forecasting incorporating historical and prospective context. Data Min. Knowl. Discov. 38(1): 315-341 (2024) - [j31]João Tiago Aparício, Elisabete Arsenio, Francisco Santos, Rui Henriques:
Using dynamic knowledge graphs to detect emerging communities of knowledge. Knowl. Based Syst. 294: 111671 (2024) - [j30]Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
TriSig: Evaluating the statistical significance of triclusters. Pattern Recognit. 149: 110231 (2024) - [j29]Diogo F. Soares, Rui Henriques, Sara C. Madeira:
Comprehensive assessment of triclustering algorithms for three-way temporal data analysis. Pattern Recognit. 150: 110303 (2024) - [j28]Mariana Carrasco, António Rito Silva, Rui Henriques:
Detecting Fraudulent Student Communication in a Multiple Choice Online Test Environment. IEEE Trans. Comput. Soc. Syst. 11(1): 1108-1120 (2024) - [i13]Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
Integrating Statistical Significance and Discriminative Power in Pattern Discovery. CoRR abs/2401.12000 (2024) - 2023
- [j27]Eduardo N. Castanho, João Lobo, Rui Henriques, Sara C. Madeira:
G-bic: generating synthetic benchmarks for biclustering. BMC Bioinform. 24(1): 457 (2023) - [j26]Joana Barreto, Rui Henriques, Silvia Cabral, Bruno Pedro, César Peixoto, António P. Veloso:
Movement Prototypes in a Complex Teamgym Gymnastics Technique on the Vaulting Table and Their Relationship with Judges' Scores. Sensors 23(6): 3240 (2023) - [c28]David Calhas, Rui Henriques:
EEG To FMRI Synthesis: Is Deep Learning a Candidate? ISD 2023 - [c27]David Calhas, Rui Henriques:
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships. MLHC 2023: 76-93 - [c26]Joao Tiago Aparicio, Elisabete Arsenio, Rui Henriques:
tex2net: A Package for Storytelling Using Network Models. SIGDOC 2023: 119-125 - [i12]Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
TriSig: Assessing the statistical significance of triclusters. CoRR abs/2306.00643 (2023) - 2022
- [j25]Pedro Rodrigues, Rafael S. Costa, Rui Henriques:
Enrichment analysis on regulatory subspaces: A novel direction for the superior description of cellular responses to SARS-CoV-2. Comput. Biol. Medicine 146: 105443 (2022) - [j24]Hugo Mochão, Daniel Gonçalves, Leonardo Alexandre, Carolina Castro, Duarte Valério, Pedro Barahona, Daniel Moreira-Gonçalves, Paulo Matos da Costa, Rui Henriques, Lucio Lara-Santos, Rafael S. Costa:
IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain. Comput. Methods Programs Biomed. 219: 106754 (2022) - [j23]Luís M. S. Russo, Diogo M. Costa, Rui Henriques, Hideo Bannai, Alexandre P. Francisco:
Order-preserving pattern matching indeterminate strings. Inf. Comput. 289(Part): 104924 (2022) - [j22]Thomas James Z. Tiam-Lee, Rui Henriques, Vasco Manquinho:
Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response. ISPRS Int. J. Geo Inf. 11(7): 356 (2022) - [j21]Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira:
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. J. Biomed. Informatics 134: 104172 (2022) - [j20]Marta D. M. Noronha, Rui Henriques, Sara C. Madeira, Luis E. Zárate:
Impact of metrics on biclustering solution and quality: A review. Pattern Recognit. 127: 108612 (2022) - [j19]Francisco Neves, Anna Carolina Finamore, Sara C. Madeira, Rui Henriques:
Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering. IEEE Trans. Intell. Transp. Syst. 23(7): 6430-6445 (2022) - [c25]Daniel Gonçalves, Rafael S. Costa, Rui Henriques:
Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates. AVI 2022: 9:1-9:5 - [c24]Thomas James Z. Tiam-Lee, Rui Henriques, José Costa, Vasco Manquinho, Helena Galhardas:
Consolidation of Massive Medical Emergency Events With Heterogeneous Situational Context Data Sources. EDBT/ICDT Workshops 2022 - [i11]Vasco D. Silva, Anna Carolina Finamore, Rui Henriques:
On the Role of Multi-Objective Optimization to the Transit Network Design Problem. CoRR abs/2201.11616 (2022) - [i10]David Calhas, Rui Henriques:
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships. CoRR abs/2203.03481 (2022) - [i9]Miguel G. Silva, Rui Henriques, Sara C. Madeira:
User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity. CoRR abs/2211.08366 (2022) - [i8]Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
Scaling pattern mining through non-overlapping variable partitioning. CoRR abs/2212.05340 (2022) - 2021
- [j18]João Lobo, Rui Henriques, Sara C. Madeira:
G-Tric: generating three-way synthetic datasets with triclustering solutions. BMC Bioinform. 22(1): 16 (2021) - [j17]Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
DI2: prior-free and multi-item discretization of biological data and its applications. BMC Bioinform. 22(1): 426 (2021) - [j16]Daniel Gonçalves, Rui Henriques, Lucio Lara-Santos, Rafael S. Costa:
On the predictability of postoperative complications for cancer patients: a Portuguese cohort study. BMC Medical Informatics Decis. Mak. 21(1): 200 (2021) - [j15]Rui Henriques, Sara C. Madeira:
FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns. Pattern Recognit. 115: 107900 (2021) - [j14]Leonardo Alexandre, Rafael S. Costa, Lucio Lara-Santos, Rui Henriques:
Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain. IEEE J. Biomed. Health Informatics 25(7): 2421-2434 (2021) - [c23]David Calhas, Rui Henriques:
fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser. AIME 2021: 25-35 - [c22]Leonor Silva, Helena Galhardas, Vasco Manquinho, Rui Henriques:
UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles. SDM 2021: 324-332 - [c21]Ana Pereira, Rui Henriques, João Barata:
An ArchiMate-Based Approach to ISO 9001: 2015 Quality Management: Shifting to IT-Enabled Documented Information. CBI (2) 2021: 125-133 - [i7]Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
DI2: prior-free and multi-item discretization ofbiomedical data and its applications. CoRR abs/2103.04356 (2021) - [i6]Cláudio Sardinha, Anna Carolina Finamore, Rui Henriques:
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context. CoRR abs/2105.01125 (2021) - 2020
- [j13]David Calhas, Enrique Romero, Rui Henriques:
On the use of pairwise distance learning for brain signal classification with limited observations. Artif. Intell. Medicine 105: 101852 (2020) - [c20]Pavlo Kovalchuk, Diogo Proença, José Borbinha, Rui Henriques:
Moving from Formal Towards Coherent Concept Analysis: Why, When and How. ECIR (1) 2020: 281-295 - [c19]Francisco Neves, Anna Carolina Finamore, Rui Henriques:
Efficient discovery of emerging patternsin heterogeneous spatiotemporal data from mobile sensors. MobiQuitous 2020: 158-167 - [c18]Diogo F. Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira:
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. PACBB 2020: 112-122 - [i5]David Calhas, Rui Henriques:
fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser. CoRR abs/2009.12602 (2020) - [i4]David Calhas, Rui Henriques:
EEG to fMRI Synthesis: Is Deep Learning a candidate? CoRR abs/2009.14133 (2020)
2010 – 2019
- 2019
- [j12]Rui Henriques, Sara C. Madeira:
Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey. ACM Comput. Surv. 51(5): 95:1-95:43 (2019) - [c17]Pavlo Kovalchuk, Diogo Proença, José Borbinha, Rui Henriques:
An Unsupervised Method for Concept Association Analysis in Text Collections. TPDL 2019: 18-32 - [c16]Rui Henriques, Anna Carolina Finamore, Marco Antonio Casanova:
On the Discovery of Educational Patterns using Biclustering. ITS 2019: 133-144 - [i3]Diogo M. Costa, Luís M. S. Russo, Rui Henriques, Hideo Bannai, Alexandre P. Francisco:
Order-Preserving Pattern Matching Indeterminate Strings. CoRR abs/1905.02589 (2019) - [i2]David Calhas, Enrique Romero, Rui Henriques:
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations. CoRR abs/1906.02076 (2019) - 2018
- [j11]Rui Henriques, Sara C. Madeira:
BSig: evaluating the statistical significance of biclustering solutions. Data Min. Knowl. Discov. 32(1): 124-161 (2018) - [c15]Rui Henriques, Alexandre P. Francisco, Luís M. S. Russo, Hideo Bannai:
Order-Preserving Pattern Matching Indeterminate Strings. CPM 2018: 2:1-2:15 - [c14]Rui Policarpo Duarte, Álvaro Simões, Rui Henriques, Horácio C. Neto:
FPGA-based OpenCL Accelerator for Discovering Temporal Patterns in Gene Expression Data Using Biclustering. PBio@EuroMPI 2018: 53-62 - 2017
- [j10]Rui Henriques, Francisco L. Ferreira, Sara C. Madeira:
BicPAMS: software for biological data analysis with pattern-based biclustering. BMC Bioinform. 18(1): 82:1-82:16 (2017) - [j9]Rui Henriques, Francisco L. Ferreira, Sara C. Madeira:
Erratum to: BicPAMS: software for biological data analysis with pattern-based biclustering. BMC Bioinform. 18(1): 162:1-162:2 (2017) - 2016
- [j8]Rui Henriques, Sara C. Madeira:
BicNET: Flexible module discovery in large-scale biological networks using biclustering. Algorithms Mol. Biol. 11: 14 (2016) - [j7]Rui Henriques, Sara C. Madeira:
BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge. Algorithms Mol. Biol. 11: 23 (2016) - 2015
- [j6]Rui Henriques, Sara C. Madeira, Cláudia Antunes:
Multi-period classification: learning sequent classes from temporal domains. Data Min. Knowl. Discov. 29(3): 792-819 (2015) - [j5]Rui Henriques, Cláudia Antunes, Sara C. Madeira:
Generative modeling of repositories of health records for predictive tasks. Data Min. Knowl. Discov. 29(4): 999-1032 (2015) - [j4]Rui Henriques, Cláudia Antunes, Sara C. Madeira:
A structured view on pattern mining-based biclustering. Pattern Recognit. 48(12): 3941-3958 (2015) - [j3]Rui Henriques, Sara C. Madeira:
Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 738-752 (2015) - [c13]Rui Henriques, Sara C. Madeira:
Pattern-Based Biclustering with Constraints for Gene Expression Data Analysis. EPIA 2015: 326-339 - [c12]Rui Henriques, Sara C. Madeira:
BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules. WABI 2015: 1-15 - 2014
- [j2]Rui Henriques, Sara C. Madeira:
BicPAM: Pattern-based biclustering for biomedical data analysis. Algorithms Mol. Biol. 9: 27 (2014) - [j1]Rui Henriques, Sara C. Madeira:
BicSPAM: flexible biclustering using sequential patterns. BMC Bioinform. 15: 130 (2014) - [c11]Rui Henriques, Cláudia Antunes:
Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-Based and Generative Models to Capture Temporal and Cross-Attribute Dependencies. HICSS 2014: 2562-2569 - [c10]Rui Henriques, Cláudia Antunes:
Generative Modeling of Itemset Sequences Derived from Real Databases. ICEIS (1) 2014: 264-272 - [c9]Rui Henriques, Ana Paiva:
Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions. PhyCS 2014: 75-82 - [c8]Rui Henriques, Ana Paiva:
Learning Effective Models of Emotions from Physiological Signals: The Seven Principles. PhyCS (Selected Papers) 2014: 137-155 - [c7]Rui Henriques, Ana Paiva:
Descriptive Models of Emotion - Learning Useful Abstractions from Physiological Responses during Affective Interactions. PhyCS 2014: 393-400 - 2013
- [c6]Rui Henriques, Ana Paiva, Cláudia Antunes:
Accessing Emotion Patterns from Affective Interactions Using Electrodermal Activity. ACII 2013: 43-48 - [c5]Iolanda Leite, Rui Henriques, Carlos Martinho, Ana Paiva:
Sensors in the wild: exploring electrodermal activity in child-robot interaction. HRI 2013: 41-48 - [c4]Rui Henriques, Cláudia Antunes, Sara C. Madeira:
Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns. NFMCP 2013: 100-116 - 2012
- [c3]Rui Henriques, Ana Paiva, Cláudia Antunes:
On the Need of New Methods to Mine Electrodermal Activity in Emotion-Centered Studies. ADMI 2012: 203-215 - [c2]Rui Henriques, Cláudia Antunes:
An Integrated Approach for Healthcare Planning over Multi-dimensional Data Using Long-Term Prediction. HIS 2012: 36-48 - [i1]Rui Henriques, Inês Lynce, Vasco Manquinho:
On When and How to use SAT to Mine Frequent Itemsets. CoRR abs/1207.6253 (2012) - 2010
- [c1]Rui Henriques, António Rito Silva:
Object-Centered Process Modeling: Principles to Model Data-Intensive Systems. Business Process Management Workshops 2010: 683-694
Coauthor Index
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last updated on 2024-09-19 00:32 CEST by the dblp team
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