Inês de Castro Dutra

According to our database, Inês de Castro Dutra authored at least 88 papers between 1991 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation.

Luís Almeida, Inês Dutra, Francesco Renna

CoRR, 2024

Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus.

Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa

CoRR, 2024

2023

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).

Christine R. Kirkpatrick, Kevin L. Coakley, Julianne Christopher, Inês Dutra

Data Sci. J., January, 2023

An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems.

Emanuel Sousa Tomé, Rita P. Ribeiro, Inês Dutra, Arlete Rodrigues

Sensors, 2023

HAL 9000: Skynet's Risk Manager.

Tadeu Freitas, Mario Tasso Ribeiro Serra Neto, Inês Dutra, João Soares, Manuel Eduardo Correia, Rolando Martins

CoRR, 2023

Data and Knowledge for Overtaking Scenarios in Autonomous Driving.

Mariana Pinto, Inês Dutra, Joaquim Fonseca

CoRR, 2023

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).

Christine R. Kirkpatrick, Kevin L. Coakley, Julie Christopher, Inês Dutra

CoRR, 2023

Predicting Hard Disk Drive Faults, Failures and Associated Misbehavior's.

Christopher Harrison, Henish Balu, Inês Dutra

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Quantum transfer learning for breast cancer detection.

Vanda Azevedo, Carla Silva, Inês Dutra

Quantum Mach. Intell., 2022

Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method.

Mario T. R. Serra Neto, Inês Dutra, Marco Antônio Florenzano Mollinetti

Proceedings of the International Joint Conference on Neural Networks, 2022

Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs.

Alberto Barbosa, Pedro Ribeiro, Inês Dutra

Proceedings of the Complex Networks and Their Applications XI, 2022

2021

Mapping a logical representation of TSP to quantum annealing.

Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra

Quantum Inf. Process., 2021

Pruning strategies for the efficient traversal of the search space in PILP environments.

Joana Côrte-Real, Inês Dutra, Ricardo Rocha

Knowl. Inf. Syst., 2021

Similarity of Football Players Using Passing Sequences.

Alberto Barbosa, Pedro Ribeiro, Inês Dutra

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines.

Iván Carrera, Eduardo Tejera, Inês Dutra

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Predictive Maintenance for Sensor Enhancement in Industry 4.0.

Carla Silva, Marvin F. da Silva, Arlete Rodrigues, José Silva, Vítor Santos Costa, Alípio Jorge, Inês Dutra

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

Quantum Binary Classification (Student Abstract).

Carla Silva, Ana Aguiar, Inês Dutra

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract).

Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Inês Dutra

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mapping graph coloring to quantum annealing.

Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra

Quantum Mach. Intell., 2020

Erratum: Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2.

Diogo Fernandes, Carla Silva, Inês Dutra

XRDS, 2020

A Representation Method for Cellular Lines based on SVM and Text Mining.

Iván Carrera, Inês Dutra, Eduardo Tejera

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Representing Cellular Lines with SVM and Text Processing.

Iván Carrera, Inês Dutra, Eduardo Tejera

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2.

Diogo Fernandes, Carla Silva, Inês Dutra

XRDS, 2019

Using Grover's search quantum algorithm to solve Boolean satisfiability problems: Part I.

Diogo Fernandes, Inês Dutra

XRDS, 2019

Characterizing Bipolar Disorder-Associated Single Nucleotide Polymorphisms in a Large British Cohort Using Association Rules.

Alberto Pinheira, Rodrigo da Silva Dias, Camila Nascimento, Inês Dutra

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018

Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction.

Christopher Harrison, Christine R. Kirkpatrick, Inês Dutra

CoRR, 2018

Driven tabu search: a quantum inherent optimisation.

Carla Silva, Inês Dutra, Marcus S. Dahlem

CoRR, 2018

atSNPInfrastructure, a Case Study for Searching Billions of Records While Providing Significant Cost Savings over Cloud Providers.

Christopher Harrison, Sündüz Keles, Rebecca Hudson, Sunyoung Shin, Inês Dutra

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Improving Candidate Quality of Probabilistic Logic Models.

Joana Côrte-Real, Anton Dries, Inês Dutra, Ricardo Rocha

Proceedings of the Technical Communications of the 34th International Conference on Logic Programming, 2018

2017

Optimising the calculation of statistical functions.

André Valente Rodrigues, Carla Silva, Paulo Ricardo Amorim Borges, Sergio Silva, Inês Dutra

Int. J. Big Data Intell., 2017

Managing Diabetes: Counselling Supported by User Data in a Mobile Platform.

Diogo Machado, Inês Dutra, Pedro Brandão, Vítor Santos Costa

Proceedings of the Doctoral Consortium, 2017

Managing diabetes: Pattern discovery and counselling supported by user data in a mobile platform.

Diogo Machado, Tiago Paiva, Inês Dutra, Vítor Santos Costa, Pedro Brandão

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

On Applying Probabilistic Logic Programming to Breast Cancer Data.

Joana Côrte-Real, Inês Dutra, Ricardo Rocha

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

2016

Relational Learning with GPUs: Accelerating Rule Coverage.

Carlos Alberto Martinez-Angeles, Haicheng Wu, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez

Int. J. Parallel Program., 2016

Estimation-Based Search Space Traversal in PILP Environments.

Joana Côrte-Real, Inês Dutra, Ricardo Rocha

Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

A Speech-to-Text Interface for MammoClass.

Ricardo Sousa Rocha, Pedro Ferreira, Inês de Castro Dutra, Ricardo Cruz-Correia, Rogerio Salvini, Elizabeth S. Burnside

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Interpretable models to predict Breast Cancer.

Pedro Ferreira, Inês Dutra, Rogerio Salvini, Elizabeth S. Burnside

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Predicting malignancy from mammography findings and image-guided core biopsies.

Pedro Ferreira, Nuno A. Fonseca, Inês de Castro Dutra, Ryan W. Woods, Elizabeth S. Burnside

Int. J. Data Min. Bioinform., 2015

SkILL - a Stochastic Inductive Logic Learner.

Joana Côrte-Real, Theofrastos Mantadelis, Inês de Castro Dutra, Ricardo Rocha

CoRR, 2015

Performance Evaluation of Statistical Functions.

André Valente Rodrigues, Carla Silva, Paulo Vinicius Koerich Borges, Sergio Silva, Inês Dutra

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Accelerating recommender systems using GPUs.

André Valente Rodrigues, Alípio Jorge, Inês Dutra

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Rogerio Salvini, Rodrigo da Silva Dias, Beny Lafer, Inês Dutra

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Processing Markov Logic Networks with GPUs: Accelerating Network Grounding.

Carlos Alberto Martinez-Angeles, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

SkILL - A Stochastic Inductive Logic Learner.

Joana Côrte-Real, Theofrastos Mantadelis, Inês de Castro Dutra, Ricardo Rocha, Elizabeth S. Burnside

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Automated Diagnosis of Breast Cancer on Medical Images.

Marina Velikova, Inês Dutra, Elizabeth S. Burnside

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014

ExpertBayes: Automatically refining manually built Bayesian networks.

Ezilda Almeida, Pedro Ferreira, Tiago T. V. Vinhoza, Inês de Castro Dutra, Jingwei Li, Yirong Wu, Elizabeth S. Burnside

CoRR, 2014

A hybrid mapreduce model for prolog.

Joana Côrte-Real, Inês de Castro Dutra, Ricardo Rocha

Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Expert Bayes: Automatically Refining Manually Built Bayesian Networks.

Ezilda Almeida, Pedro Ferreira, Tiago T. V. Vinhoza, Inês de Castro Dutra, Paulo Vinicius Koerich Borges, Yirong Wu, Elizabeth S. Burnside

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013

Prolog programming with a map-reduce parallel construct.

Joana Côrte-Real, Inês de Castro Dutra, Ricardo Rocha

Proceedings of the 15th International Symposium on Principles and Practice of Declarative Programming, 2013

A Datalog Engine for GPUs.

Carlos Alberto Martinez-Angeles, Inês de Castro Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez

Proceedings of the Declarative Programming and Knowledge Management, 2013

Using machine learning to identify benign cases with non-definitive biopsy.

Finn Kuusisto, Inês de Castro Dutra, Houssam Nassif, Yirong Wu, Molly E. Klein, Heather B. Neuman, Jude W. Shavlik, Elizabeth S. Burnside

Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

Knowledge on heart condition of children based on demographic and physiological features.

Pedro Ferreira, Tiago T. V. Vinhoza, Ana Castro, Felipe Mourato, Thiago Tavares, Sandra da Silva Mattos, Inês de Castro Dutra, Miguel Tavares Coimbra

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012

Scheduling OR-parallelism in YapOr and ThOr on Multi-Core Machines.

Inês de Castro Dutra, Ricardo Rocha, Vítor Santos Costa, Fernando M. A. Silva, João Santos

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Detecting cardiac pathologies from annotated auscultations.

Pedro Ferreira, Daniel Pereira, Felipe Mourato, Sandra da Silva Mattos, Ricardo Cruz-Correia, Miguel T. Coimbra, Inês de Castro Dutra

Proceedings of CBMS 2012, 2012

Extracting BI-RADS features from Portuguese clinical texts.

Houssam Nassif, Filipe Cunha, Inês C. Moreira, Ricardo Cruz-Correia, Eliana Sousa, David Page, Elizabeth S. Burnside, Inês de Castro Dutra

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

SPPAM - Statistical PreProcessing AlgorithM

Tiago Silva, Inês de Castro Dutra

CoRR, 2011

T-SPPA: Trended Statistical PreProcessing Algorithm.

Tiago Silva, Inês Dutra

Proceedings of the Digital Information Processing and Communications, 2011

DigiScope - Unobtrusive collection and annotating of auscultations in real hospital environments.

Daniel Pereira, Fábio de Lima Hedayioglu, Ricardo Correia, Tiago Silva, Inês Dutra, Filipa C. Almeida, Sandra da Silva Mattos, Miguel T. Coimbra

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Studying the Relevance of Breast Imaging Features.

Pedro Ferreira, Inês de Castro Dutra, Nuno A. Fonseca, Ryan W. Woods, Elizabeth S. Burnside

Proceedings of the HEALTHINF 2011, 2011

Predicting Malignancy from Mammography Findings and Surgical Biopsies.

Pedro Ferreira, Nuno A. Fonseca, Inês de Castro Dutra, Ryan W. Woods, Elizabeth S. Burnside

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

Threads and or-parallelism unified.

Vítor Santos Costa, Inês de Castro Dutra, Ricardo Rocha

Theory Pract. Log. Program., 2010

2009

Applying reinforcement learning to scheduling strategies in an actual grid environment.

Bernardo Fortunato Costa, Marta Mattoso, Inês de Castro Dutra

Int. J. High Perform. Syst. Archit., 2009

2008

RL-Based Scheduling Strategies in Actual Grid Environments.

Bernardo Fortunato Costa, Inês de Castro Dutra, Marta Mattoso

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

2007

GRAND: toward scalability in a Grid environment.

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

Concurr. Comput. Pract. Exp., 2007

Automatic Constraint Partitioning to Speed Up CLP Execution.

Marluce Rodrigues Pereira, Patrícia Kayser Vargas, Maria Clicia Stelling de Castro, Felipe Maia Galvão França, Inês de Castro Dutra

Proceedings of the 19th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2007), 2007

2005

Hierarchical submission in a Grid environment.

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

Proceedings of the 3rd international workshop on Middleware for grid computing, 2005

View Learning for Statistical Relational Learning: With an Application to Mammography.

Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Mode Directed Path Finding.

Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa

Proceedings of the Machine Learning: ECML 2005, 2005

An Integrated Approach to Learning Bayesian Networks of Rules.

Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa

Proceedings of the Machine Learning: ECML 2005, 2005

ReGS: user-level reliability in a grid environment.

J. A. L. Sanches, Patrícia Kayser Vargas, Inês de Castro Dutra, Vítor Santos Costa, Cláudio F. R. Geyer

Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming.

Elizabeth S. Burnside, Jesse Davis, Vítor Santos Costa, Inês de Castro Dutra, Charles E. Kahn Jr., Jason Fine, David Page

Proceedings of the AMIA 2005, 2005

2004

Application partitioning and hierarchical management in grid environments.

Patrícia Kayser Vargas, Inês de Castro Dutra, Cláudio F. R. Geyer

Proceedings of the 1st International Doctoral Symposium on Middleware, 2004

2003

Applying Scheduling by Edge Reversal to Constraint Partitioning.

Marluce Rodrigues Pereira, Patrícia Kayser Vargas, Felipe M. G. França, Maria Clicia Stelling de Castro, Inês de Castro Dutra

Proceedings of the 15th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2003), 2003

Toward Automatic Management of Embarrassingly Parallel Applications.

Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik, Michael Waddell

Proceedings of the Euro-Par 2003. Parallel Processing, 2003

2002

An Empirical Evaluation of Bagging in Inductive Logic Programming.

Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2000

Parallel Logic Programming Systems on Scalable Architectures.

Vítor Santos Costa, Ricardo Bianchini, Inês de Castro Dutra

J. Parallel Distributed Comput., 2000

The Impact of Cache Coherence Protocols on Parallel Logic Programming Systems.

Inês de Castro Dutra, Vítor Santos Costa, Ricardo Bianchini

Proceedings of the Computational Logic, 2000

1999

Preface.

Inês de Castro Dutra, Vítor Santos Costa, Gopal Gupta, Enrico Pontelli, Manuel Carro, Péter Kacsuk

Proceedings of the Parallelism and Implementation Technology for (Constraint) Logic Programming, 1999

The Influence of Architectural Parameters on the Performance of Parallel Logic Programming Systems.

Marcio G. Silva, Inês de Castro Dutra, Ricardo Bianchini, Vítor Santos Costa

Proceedings of the Practical Aspects of Declarative Languages, 1999

Performance Evaluation of Or-Parallel Logic Programming Systems on Distributed Shared-Memory Architectures.

Vanusa Menditi Calegario, Inês de Castro Dutra

Proceedings of the Euro-Par '99 Parallel Processing, 5th International Euro-Par Conference, Toulouse, France, August 31, 1999

1998

VisAll: A Universal Tool to Visualise Parallel Execution of Logic Programs.

Nuno A. Fonseca, Vítor Santos Costa, Inês de Castro Dutra

Proceedings of the 1998 Joint International Conference and Symposium on Logic Programming, 1998

1997

Evaluating the impact of coherence protocols on parallel logic programming systems.

Vítor Santos Costa, Ricardo Bianchini, Inês de Castro Dutra

Proceedings of the Fifth Euromicro Workshop on Parallel and Distributed Processing (PDP '97), 1997

Evaluating parallel logic programming systems on scalable multiprocessors.

Vítor Santos Costa, Ricardo Bianchini, Inês de Castro Dutra

Proceedings of the 2nd International Workshop on Parallel Symbolic Computation, 1997

1996

Distributing And-Work and Or-Work in Parallel Logic Programming Systems.

Inês de Castro Dutra

Proceedings of the 29th Annual Hawaii International Conference on System Sciences (HICSS-29), 1996

1995

Distributing and- and or-work in the Andorra-I parallel logic programming system.

Inês de Castro Dutra

PhD thesis, 1995

1994

Strategies for Scheduling And- and Or-Parallel Work in Parallel Logic Programming Systems.

Inês de Castro Dutra

Proceedings of the Logic Programming, 1994

1993

Performance of the Compiler-Based Andorra-I System.

Rong Yang, Tony Beaumont, Inês de Castro Dutra, Vítor Santos Costa, David H. D. Warren

Proceedings of the Logic Programming, 1993

1991

A Flexible Scheduler for the Andorra-I System.

Inês de Castro Dutra

Proceedings of the Parallel Execution of Logic Programs, 1991