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ORCIDInês de Castro Dutra
Inês Dutra
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- affiliation: University of Porto, Portugal
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2020 – today
- 2024
[i12]Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa:
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus. CoRR abs/2405.06399 (2024)- [i11]Luís Almeida, Inês Dutra, Francesco Renna:
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation. CoRR abs/2407.12609 (2024) - 2023
- [j16]Christine R. Kirkpatrick
, Kevin L. Coakley, Julianne Christopher, Inês Dutra:
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST). Data Sci. J. 22 (2023) - [j15]Emanuel Sousa Tomé, Rita P. Ribeiro, Inês Dutra, Arlete Rodrigues:
An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems. Sensors 23(10): 4902 (2023) - [c60]Christopher Harrison, Henish Balu, Inês Dutra:
Predicting Hard Disk Drive Faults, Failures and Associated Misbehavior's. IPDPS Workshops 2023: 484-493 - [i10]Christine R. Kirkpatrick, Kevin L. Coakley, Julie Christopher, Inês Dutra:
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST). CoRR abs/2301.10236 (2023) - [i9]Mariana Pinto, Inês Dutra, Joaquim Fonseca:
Data and Knowledge for Overtaking Scenarios in Autonomous Driving. CoRR abs/2305.19421 (2023) - [i8]Tadeu Freitas, Mario Tasso Ribeiro Serra Neto, Inês Dutra, João Soares, Manuel Eduardo Correia, Rolando Martins:
HAL 9000: Skynet's Risk Manager. CoRR abs/2311.09449 (2023) - 2022
- [j14]Vanda Azevedo, Carla Silva, Inês Dutra:
Quantum transfer learning for breast cancer detection. Quantum Mach. Intell. 4(1) (2022) - [c59]Alberto Barbosa, Pedro Ribeiro, Inês Dutra:
Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs. COMPLEX NETWORKS (2) 2022: 579-591 - [c58]Mario T. R. Serra Neto, Inês Dutra, Marco Antônio Florenzano Mollinetti:
Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method. IJCNN 2022: 1-8 - 2021
- [j13]Joana Côrte-Real, Inês Dutra, Ricardo Rocha:
Pruning strategies for the efficient traversal of the search space in PILP environments. Knowl. Inf. Syst. 63(12): 3183-3215 (2021) - [j12]Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra:
Mapping a logical representation of TSP to quantum annealing. Quantum Inf. Process. 20(12): 386 (2021) - [c57]Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Inês Dutra:
Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract). AAAI 2021: 15883-15884 - [c56]Carla Silva, Ana Aguiar, Inês Dutra:
Quantum Binary Classification (Student Abstract). AAAI 2021: 15889-15890 - [c55]Carla Silva, Marvin F. da Silva, Arlete Rodrigues, José Silva, Vítor Santos Costa, Alípio Jorge, Inês Dutra:
Predictive Maintenance for Sensor Enhancement in Industry 4.0. ACIIDS (Companion) 2021: 403-415 - [c54]Iván Carrera, Eduardo Tejera, Inês Dutra:
Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines. HEALTHINF 2021: 768-775 - [c53]Alberto Barbosa, Pedro Ribeiro, Inês Dutra:
Similarity of Football Players Using Passing Sequences. MLSA@PKDD/ECML 2021: 51-61 - 2020
- [j11]Diogo Fernandes, Carla Silva, Inês Dutra:
Erratum: Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2. XRDS 26(3): 57 (2020) - [j10]Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra:
Mapping graph coloring to quantum annealing. Quantum Mach. Intell. 2(2): 1-19 (2020) - [c52]Iván Carrera, Inês Dutra, Eduardo Tejera:
Representing Cellular Lines with SVM and Text Processing. BCB 2020: 82:1 - [c51]Iván Carrera, Inês Dutra, Eduardo Tejera:
A Representation Method for Cellular Lines based on SVM and Text Mining. BIBM 2020: 2717-2723
2010 – 2019
- 2019
- [j9]Diogo Fernandes, Inês Dutra:
Using Grover's search quantum algorithm to solve Boolean satisfiability problems: Part I. XRDS 26(1): 64-66 (2019) - [j8]Diogo Fernandes, Carla Silva, Inês Dutra:
Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2. XRDS 26(2): 68-71 (2019) - [c50]Alberto Pinheira, Rodrigo da Silva Dias, Camila Nascimento, Inês Dutra:
Characterizing Bipolar Disorder-Associated Single Nucleotide Polymorphisms in a Large British Cohort Using Association Rules. CIBB 2019: 219-231 - 2018
- [c49]Joana Côrte-Real, Anton Dries, Inês Dutra, Ricardo Rocha:
Improving Candidate Quality of Probabilistic Logic Models. ICLP (Technical Communications) 2018: 6:1-6:14 - [c48]Christopher Harrison, Sündüz Keles, Rebecca Hudson, Sunyoung Shin, Inês Dutra:
atSNPInfrastructure, a Case Study for Searching Billions of Records While Providing Significant Cost Savings over Cloud Providers. IPDPS Workshops 2018: 497-506 - [i7]Carla Silva, Inês Dutra, Marcus S. Dahlem:
Driven tabu search: a quantum inherent optimisation. CoRR abs/1808.08429 (2018) - [i6]Christopher Harrison, Christine R. Kirkpatrick, Inês Dutra:
Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction. CoRR abs/1812.09537 (2018) - 2017
- [j7]André Valente Rodrigues, Carla Silva, Paulo Ricardo Amorim Borges, Sergio Silva, Inês Dutra:
Optimising the calculation of statistical functions. Int. J. Big Data Intell. 4(2): 123-138 (2017) - [c47]Joana Côrte-Real, Inês Dutra, Ricardo Rocha:
On Applying Probabilistic Logic Programming to Breast Cancer Data. ILP 2017: 31-45 - [c46]Diogo Machado, Tiago Paiva, Inês Dutra, Vítor Santos Costa, Pedro Brandão:
Managing diabetes: Pattern discovery and counselling supported by user data in a mobile platform. ISCC 2017: 296-299 - [c45]Diogo Machado, Inês Dutra, Pedro Brandão, Vítor Santos Costa:
Managing Diabetes: Counselling Supported by User Data in a Mobile Platform. RuleML+RR (Supplement) 2017 - [e3]Inês Dutra, Rui Camacho, Jorge G. Barbosa, Osni Marques:
High Performance Computing for Computational Science - VECPAR 2016 - 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10150, Springer 2017, ISBN 978-3-319-61981-1 [contents] - 2016
- [j6]Carlos Alberto Martinez-Angeles, Haicheng Wu, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez:
Relational Learning with GPUs: Accelerating Rule Coverage. Int. J. Parallel Program. 44(3): 663-685 (2016) - [c44]Pedro Ferreira, Inês Dutra, Rogerio Salvini, Elizabeth S. Burnside:
Interpretable models to predict Breast Cancer. BIBM 2016: 1507-1511 - [c43]Ricardo Sousa Rocha, Pedro Ferreira, Inês de Castro Dutra, Ricardo Cruz-Correia, Rogerio Salvini, Elizabeth S. Burnside:
A Speech-to-Text Interface for MammoClass. CBMS 2016: 1-6 - [c42]Joana Côrte-Real, Inês Dutra, Ricardo Rocha:
Estimation-Based Search Space Traversal in PILP Environments. ILP 2016: 1-13 - 2015
- [j5]Pedro Ferreira, Nuno A. Fonseca, Inês de Castro Dutra, Ryan W. Woods, Elizabeth S. Burnside:
Predicting malignancy from mammography findings and image-guided core biopsies. Int. J. Data Min. Bioinform. 11(3): 257-276 (2015) - [c41]Joana Côrte-Real, Theofrastos Mantadelis, Inês de Castro Dutra, Ricardo Rocha, Elizabeth S. Burnside:
SkILL - A Stochastic Inductive Logic Learner. ICMLA 2015: 555-558 - [c40]Carlos Alberto Martinez-Angeles, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez:
Processing Markov Logic Networks with GPUs: Accelerating Network Grounding. ILP 2015: 122-136 - [c39]Rogerio Salvini, Rodrigo da Silva Dias, Beny Lafer, Inês Dutra:
A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder. MedInfo 2015: 741-745 - [c38]André Valente Rodrigues, Alípio Jorge, Inês Dutra:
Accelerating recommender systems using GPUs. SAC 2015: 879-884 - [c37]André Valente Rodrigues, Carla Silva, Paulo Vinicius Koerich Borges, Sergio Silva, Inês Dutra:
Performance Evaluation of Statistical Functions. SmartCity 2015: 754-760 - [p1]Marina Velikova, Inês Dutra, Elizabeth S. Burnside:
Automated Diagnosis of Breast Cancer on Medical Images. Foundations of Biomedical Knowledge Representation 2015: 47-67 - [i5]Joana Côrte-Real, Theofrastos Mantadelis, Inês de Castro Dutra, Ricardo Rocha:
SkILL - a Stochastic Inductive Logic Learner. CoRR abs/1506.00893 (2015) - [i4]André Valente Rodrigues, Alípio Jorge, Inês Dutra:
Accelerating Recommender Systems using GPUs. CoRR abs/1511.02433 (2015) - 2014
- [c36]Ezilda Almeida, Pedro Ferreira, Tiago T. V. Vinhoza, Inês de Castro Dutra, Paulo Vinicius Koerich Borges, Yirong Wu, Elizabeth S. Burnside:
Expert Bayes: Automatically Refining Manually Built Bayesian Networks. ICMLA 2014: 362-366 - [c35]Joana Côrte-Real, Inês de Castro Dutra, Ricardo Rocha:
A hybrid mapreduce model for prolog. ISIC 2014: 340-343 - [e2]Fernando M. A. Silva, Inês de Castro Dutra, Vítor Santos Costa:
Euro-Par 2014 Parallel Processing - 20th International Conference, Porto, Portugal, August 25-29, 2014. Proceedings. Lecture Notes in Computer Science 8632, Springer 2014, ISBN 978-3-319-09872-2 [contents] - [i3]Ezilda Almeida, Pedro Ferreira, Tiago T. V. Vinhoza, Inês de Castro Dutra, Jingwei Li, Yirong Wu, Elizabeth S. Burnside:
ExpertBayes: Automatically refining manually built Bayesian networks. CoRR abs/1406.2395 (2014) - 2013
- [c34]Pedro Ferreira, Tiago T. V. Vinhoza, Ana Castro, Felipe Mourato, Thiago Tavares, Sandra da Silva Mattos, Inês de Castro Dutra, Miguel Tavares Coimbra:
Knowledge on heart condition of children based on demographic and physiological features. CBMS 2013: 314-319 - [c33]Finn Kuusisto, Inês de Castro Dutra, Houssam Nassif, Yirong Wu, Molly E. Klein, Heather B. Neuman, Jude W. Shavlik, Elizabeth S. Burnside:
Using machine learning to identify benign cases with non-definitive biopsy. Healthcom 2013: 283-285 - [c32]Carlos Alberto Martinez-Angeles, Inês de Castro Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez:
A Datalog Engine for GPUs. KDPD 2013: 152-168 - [c31]Joana Côrte-Real, Inês de Castro Dutra, Ricardo Rocha:
Prolog programming with a map-reduce parallel construct. PPDP 2013: 285-296 - 2012
- [c30]Houssam Nassif, Filipe Cunha, Inês C. Moreira, Ricardo Cruz-Correia, Eliana Sousa, David Page, Elizabeth S. Burnside, Inês de Castro Dutra:
Extracting BI-RADS features from Portuguese clinical texts. BIBM 2012: 1-4 - [c29]Pedro Ferreira, Daniel Pereira, Felipe Mourato, Sandra da Silva Mattos, Ricardo Cruz-Correia, Miguel T. Coimbra, Inês de Castro Dutra:
Detecting cardiac pathologies from annotated auscultations. CBMS 2012: 1-6 - [c28]Inês de Castro Dutra, Ricardo Rocha, Vítor Santos Costa, Fernando M. A. Silva, João Santos:
Scheduling OR-parallelism in YapOr and ThOr on Multi-Core Machines. IPDPS Workshops 2012: 1581-1590 - 2011
- [c27]Pedro Ferreira, Nuno A. Fonseca, Inês de Castro Dutra, Ryan W. Woods, Elizabeth S. Burnside:
Predicting Malignancy from Mammography Findings and Surgical Biopsies. BIBM 2011: 339-344 - [c26]Pedro Ferreira, Inês de Castro Dutra, Nuno A. Fonseca, Ryan W. Woods, Elizabeth S. Burnside:
Studying the Relevance of Breast Imaging Features. HEALTHINF 2011: 337-342 - [c25]Daniel Pereira, Fábio de Lima Hedayioglu, Ricardo Correia, Tiago Silva, Inês Dutra, Filipa C. Almeida, Sandra da Silva Mattos, Miguel T. Coimbra:
DigiScope - Unobtrusive collection and annotating of auscultations in real hospital environments. EMBC 2011: 1193-1196 - [c24]Tiago Silva, Inês Dutra:
T-SPPA: Trended Statistical PreProcessing Algorithm. ICDIPC (1) 2011: 118-131 - [i2]Tiago Silva, Inês de Castro Dutra:
SPPAM - Statistical PreProcessing AlgorithM. CoRR abs/1103.2342 (2011) - 2010
- [j4]Vítor Santos Costa, Inês de Castro Dutra, Ricardo Rocha:
Threads and or-parallelism unified. Theory Pract. Log. Program. 10(4-6): 417-432 (2010) - [i1]Vítor Santos Costa, Inês de Castro Dutra, Ricardo Rocha:
Threads and Or-Parallelism Unified. CoRR abs/1007.4438 (2010)
2000 – 2009
- 2009
- [j3]Bernardo Fortunato Costa, Marta Mattoso, Inês de Castro Dutra:
Applying reinforcement learning to scheduling strategies in an actual grid environment. Int. J. High Perform. Syst. Archit. 2(2): 116-128 (2009) - 2008
- [c23]Bernardo Fortunato Costa, Inês de Castro Dutra, Marta Mattoso:
RL-Based Scheduling Strategies in Actual Grid Environments. ISPA 2008: 572-577 - 2007
- [j2]Patrícia Kayser Vargas, Inês de Castro Dutra, Vinícius Dalto do Nascimento, Lucas A. S. Santos, Luciano Cavalheiro da Silva, Cláudio F. R. Geyer, Bruno Schulze:
GRAND: toward scalability in a Grid environment. Concurr. Comput. Pract. Exp. 19(14): 1991-2009 (2007) - [c22]Marluce Rodrigues Pereira, Patrícia Kayser Vargas, Maria Clicia Stelling de Castro, Felipe Maia Galvão França, Inês de Castro Dutra:
Automatic Constraint Partitioning to Speed Up CLP Execution. SBAC-PAD 2007: 271-278 - 2005
- [c21]Elizabeth S. Burnside, Jesse Davis, Vítor Santos Costa, Inês de Castro Dutra, Charles E. Kahn Jr., Jason Fine, David Page:
Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming. AMIA 2005 - [c20]J. A. L. Sanches, Patrícia Kayser Vargas, Inês de Castro Dutra, Vítor Santos Costa, Cláudio F. R. Geyer:
ReGS: user-level reliability in a grid environment. CCGRID 2005: 718-725 - [c19]Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa:
An Integrated Approach to Learning Bayesian Networks of Rules. ECML 2005: 84-95 - [c18]Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa:
Mode Directed Path Finding. ECML 2005: 673-681 - [c17]Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik:
View Learning for Statistical Relational Learning: With an Application to Mammography. IJCAI 2005: 677-683 - [c16]Patrícia Kayser Vargas, Inês de Castro Dutra, Vinícius Dalto do Nascimento, Lucas A. S. Santos, Luciano Cavalheiro da Silva, Cláudio Fernando Resin Geyer, Bruno Schulze:
Hierarchical submission in a Grid environment. MGC@Middleware 2005: 9:1-9:6 - 2004
- [c15]Patrícia Kayser Vargas, Inês de Castro Dutra, Cláudio F. R. Geyer:
Application partitioning and hierarchical management in grid environments. Doctoral Symposium on Middleware 2004: 314-318 - 2003
- [c14]Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik, Michael Waddell:
Toward Automatic Management of Embarrassingly Parallel Applications. Euro-Par 2003: 509-516 - [c13]Marluce Rodrigues Pereira, Patrícia Kayser Vargas, Felipe M. G. França, Maria Clicia Stelling de Castro, Inês de Castro Dutra:
Applying Scheduling by Edge Reversal to Constraint Partitioning. SBAC-PAD 2003: 134-141 - 2002
- [c12]Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik:
An Empirical Evaluation of Bagging in Inductive Logic Programming. ILP 2002: 48-65 - 2000
- [j1]Vítor Santos Costa, Ricardo Bianchini, Inês de Castro Dutra:
Parallel Logic Programming Systems on Scalable Architectures. J. Parallel Distributed Comput. 60(7): 835-852 (2000) - [c11]Inês de Castro Dutra, Vítor Santos Costa, Ricardo Bianchini:
The Impact of Cache Coherence Protocols on Parallel Logic Programming Systems. Computational Logic 2000: 1285-1299
1990 – 1999
- 1999
- [c10]Vanusa Menditi Calegario, Inês de Castro Dutra:
Performance Evaluation of Or-Parallel Logic Programming Systems on Distributed Shared-Memory Architectures. Euro-Par 1999: 1484-1491 - [c9]Marcio G. Silva, Inês de Castro Dutra, Ricardo Bianchini, Vítor Santos Costa:
The Influence of Architectural Parameters on the Performance of Parallel Logic Programming Systems. PADL 1999: 122-136 - [c8]Inês de Castro Dutra, Vítor Santos Costa, Gopal Gupta, Enrico Pontelli, Manuel Carro, Péter Kacsuk:
Preface. Parallelism and Implementation Technology for (Constraint) Logic Programming@ICLP 1999: 1-2 - [e1]Inês de Castro Dutra, Vítor Santos Costa, Gopal Gupta, Enrico Pontelli, Manuel Carro, Péter Kacsuk:
Parallelism and Implementation Technology for (Constraint) Logic Programming, in connection with the International Conference on Logic Programming, ICLP 1999, Las Cruces, New Mexico, USA, December 1, 1999. Electronic Notes in Theoretical Computer Science 30(3), Elsevier 1999 [contents] - 1998
- [c7]Nuno A. Fonseca, Vítor Santos Costa, Inês de Castro Dutra:
VisAll: A Universal Tool to Visualise Parallel Execution of Logic Programs. IJCSLP 1998: 100-114 - 1997
- [c6]Vítor Santos Costa, Ricardo Bianchini, Inês de Castro Dutra:
Evaluating parallel logic programming systems on scalable multiprocessors. PASCO 1997: 58-67 - [c5]Vítor Santos Costa, Ricardo Bianchini, Inês de Castro Dutra:
Evaluating the impact of coherence protocols on parallel logic programming systems. PDP 1997: 376-381 - 1996
- [c4]Inês de Castro Dutra:
Distributing And-Work and Or-Work in Parallel Logic Programming Systems. HICSS (1) 1996: 646-655 - 1995
- [b1]Inês de Castro Dutra:
Distributing and- and or-work in the Andorra-I parallel logic programming system. University of Bristol, UK, 1995 - 1994
- [c3]Inês de Castro Dutra:
Strategies for Scheduling And- and Or-Parallel Work in Parallel Logic Programming Systems. ILPS 1994: 289-304 - 1993
- [c2]Rong Yang, Tony Beaumont, Inês de Castro Dutra, Vítor Santos Costa, David H. D. Warren:
Performance of the Compiler-Based Andorra-I System. ICLP 1993: 150-166 - 1991
- [c1]Inês de Castro Dutra:
A Flexible Scheduler for the Andorra-I System. ICLP Workshop on Parallel Execution of Logic Programs 1991: 70-82
Coauthor Index
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