Inês de Castro Dutra

Orcid: 0000-0002-3578-7769

Affiliations:
  • University of Porto, Portugal


According to our database1, Inês de Castro Dutra authored at least 86 papers between 1991 and 2023.

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Bibliography

2023
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).
Data Sci. J., January, 2023

An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems.
Sensors, 2023

HAL 9000: Skynet's Risk Manager.
CoRR, 2023

Data and Knowledge for Overtaking Scenarios in Autonomous Driving.
CoRR, 2023

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).
CoRR, 2023

Predicting Hard Disk Drive Faults, Failures and Associated Misbehavior's.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Quantum transfer learning for breast cancer detection.
Quantum Mach. Intell., 2022

Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method.
Proceedings of the International Joint Conference on Neural Networks, 2022

Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs.
Proceedings of the Complex Networks and Their Applications XI, 2022

2021
Mapping a logical representation of TSP to quantum annealing.
Quantum Inf. Process., 2021

Pruning strategies for the efficient traversal of the search space in PILP environments.
Knowl. Inf. Syst., 2021

Similarity of Football Players Using Passing Sequences.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Predictive Maintenance for Sensor Enhancement in Industry 4.0.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

Quantum Binary Classification (Student Abstract).
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).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Mapping graph coloring to quantum annealing.
Quantum Mach. Intell., 2020

Erratum: Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2.
XRDS, 2020

A Representation Method for Cellular Lines based on SVM and Text Mining.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Representing Cellular Lines with SVM and Text Processing.
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.
XRDS, 2019

Using Grover's search quantum algorithm to solve Boolean satisfiability problems: Part I.
XRDS, 2019

Characterizing Bipolar Disorder-Associated Single Nucleotide Polymorphisms in a Large British Cohort Using Association Rules.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018
Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction.
CoRR, 2018

Driven tabu search: a quantum inherent optimisation.
CoRR, 2018

atSNPInfrastructure, a Case Study for Searching Billions of Records While Providing Significant Cost Savings over Cloud Providers.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Improving Candidate Quality of Probabilistic Logic Models.
Proceedings of the Technical Communications of the 34th International Conference on Logic Programming, 2018

2017
Optimising the calculation of statistical functions.
Int. J. Big Data Intell., 2017

Managing Diabetes: Counselling Supported by User Data in a Mobile Platform.
Proceedings of the Doctoral Consortium, 2017

Managing diabetes: Pattern discovery and counselling supported by user data in a mobile platform.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

On Applying Probabilistic Logic Programming to Breast Cancer Data.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

2016
Relational Learning with GPUs: Accelerating Rule Coverage.
Int. J. Parallel Program., 2016

Estimation-Based Search Space Traversal in PILP Environments.
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

A Speech-to-Text Interface for MammoClass.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Interpretable models to predict Breast Cancer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Predicting malignancy from mammography findings and image-guided core biopsies.
Int. J. Data Min. Bioinform., 2015

SkILL - a Stochastic Inductive Logic Learner.
CoRR, 2015

Performance Evaluation of Statistical Functions.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Accelerating recommender systems using GPUs.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Processing Markov Logic Networks with GPUs: Accelerating Network Grounding.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

SkILL - A Stochastic Inductive Logic Learner.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Automated Diagnosis of Breast Cancer on Medical Images.
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014
ExpertBayes: Automatically refining manually built Bayesian networks.
CoRR, 2014

A hybrid mapreduce model for prolog.
Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Expert Bayes: Automatically Refining Manually Built Bayesian Networks.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
Prolog programming with a map-reduce parallel construct.
Proceedings of the 15th International Symposium on Principles and Practice of Declarative Programming, 2013

A Datalog Engine for GPUs.
Proceedings of the Declarative Programming and Knowledge Management, 2013

Using machine learning to identify benign cases with non-definitive biopsy.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

Knowledge on heart condition of children based on demographic and physiological features.
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.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Detecting cardiac pathologies from annotated auscultations.
Proceedings of CBMS 2012, 2012

Extracting BI-RADS features from Portuguese clinical texts.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
SPPAM - Statistical PreProcessing AlgorithM
CoRR, 2011

T-SPPA: Trended Statistical PreProcessing Algorithm.
Proceedings of the Digital Information Processing and Communications, 2011

DigiScope - Unobtrusive collection and annotating of auscultations in real hospital environments.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Studying the Relevance of Breast Imaging Features.
Proceedings of the HEALTHINF 2011, 2011

Predicting Malignancy from Mammography Findings and Surgical Biopsies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Threads and or-parallelism unified.
Theory Pract. Log. Program., 2010

2009
Applying reinforcement learning to scheduling strategies in an actual grid environment.
Int. J. High Perform. Syst. Archit., 2009

2008
RL-Based Scheduling Strategies in Actual Grid Environments.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

2007
GRAND: toward scalability in a Grid environment.
Concurr. Comput. Pract. Exp., 2007

Automatic Constraint Partitioning to Speed Up CLP Execution.
Proceedings of the 19th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2007), 2007

2005
Hierarchical submission in a Grid environment.
Proceedings of the 3rd international workshop on Middleware for grid computing, 2005

View Learning for Statistical Relational Learning: With an Application to Mammography.
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.
Proceedings of the Machine Learning: ECML 2005, 2005

An Integrated Approach to Learning Bayesian Networks of Rules.
Proceedings of the Machine Learning: ECML 2005, 2005

ReGS: user-level reliability in a grid environment.
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.
Proceedings of the AMIA 2005, 2005

2004
Application partitioning and hierarchical management in grid environments.
Proceedings of the 1st International Doctoral Symposium on Middleware, 2004

2003
Applying Scheduling by Edge Reversal to Constraint Partitioning.
Proceedings of the 15th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2003), 2003

Toward Automatic Management of Embarrassingly Parallel Applications.
Proceedings of the Euro-Par 2003. Parallel Processing, 2003

2002
An Empirical Evaluation of Bagging in Inductive Logic Programming.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2000
Parallel Logic Programming Systems on Scalable Architectures.
J. Parallel Distributed Comput., 2000

The Impact of Cache Coherence Protocols on Parallel Logic Programming Systems.
Proceedings of the Computational Logic, 2000

1999
Preface.
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.
Proceedings of the Practical Aspects of Declarative Languages, 1999

Performance Evaluation of Or-Parallel Logic Programming Systems on Distributed Shared-Memory Architectures.
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.
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.
Proceedings of the Fifth Euromicro Workshop on Parallel and Distributed Processing (PDP '97), 1997

Evaluating parallel logic programming systems on scalable multiprocessors.
Proceedings of the 2nd International Workshop on Parallel Symbolic Computation, 1997

1996
Distributing And-Work and Or-Work in Parallel Logic Programming Systems.
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.
PhD thesis, 1995

1994
Strategies for Scheduling And- and Or-Parallel Work in Parallel Logic Programming Systems.
Proceedings of the Logic Programming, 1994

1993
Performance of the Compiler-Based Andorra-I System.
Proceedings of the Logic Programming, 1993

1991
A Flexible Scheduler for the Andorra-I System.
Proceedings of the Parallel Execution of Logic Programs, 1991


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