A Flexible Scheduler for the Andorra-I System. - Inês de Castro Dutra (ICLP Workshop on Parallel Execution of Logic Programs, 1991)

Performance of the Compiler-Based Andorra-I System. - Rong Yang 004; Tony Beaumont; Inês de Castro Dutra; Vítor Santos Costa; David H. D. Warren (ICLP, 1993)

Strategies for Scheduling And- and Or-Parallel Work in Parallel Logic Programming Systems. - Inês de Castro Dutra (ILPS, 1994)

Distributing and- and or-work in the Andorra-I parallel logic programming system. - Inês de Castro Dutra (1995)

Distributing And-Work and Or-Work in Parallel Logic Programming Systems. - Inês de Castro Dutra (HICSS (1), 1996)

Evaluating parallel logic programming systems on scalable multiprocessors. - Vítor Santos Costa; Ricardo Bianchini; Inês de Castro Dutra (PASCO, 1997)

Evaluating the impact of coherence protocols on parallel logic programming systems. - Vítor Santos Costa; Ricardo Bianchini; Inês de Castro Dutra (PDP, 1997)

VisAll: A Universal Tool to Visualise Parallel Execution of Logic Programs. - Nuno A. Fonseca; Vítor Santos Costa; Inês de Castro Dutra (IJCSLP, 1998)

Performance Evaluation of Or-Parallel Logic Programming Systems on Distributed Shared-Memory Architectures. - Vanusa Menditi Calegario; Inês de Castro Dutra (Euro-Par, 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 (PADL, 1999)

Preface. - Inês de Castro Dutra; Vítor Santos Costa; Gopal Gupta 001; Enrico Pontelli; Manuel Carro; Péter Kacsuk (Parallelism and Implementation Technology for (Constraint) Logic Programming@ICLP, 1999)

The Impact of Cache Coherence Protocols on Parallel Logic Programming Systems. - Inês de Castro Dutra; Vítor Santos Costa; Ricardo Bianchini (Computational Logic, 2000)

Parallel Logic Programming Systems on Scalable Architectures. - Vítor Santos Costa; Ricardo Bianchini; Inês de Castro Dutra (J. Parallel Distributed Comput., 2000)

An Empirical Evaluation of Bagging in Inductive Logic Programming. - Inês de Castro Dutra; David Page; Vítor Santos Costa; Jude W. Shavlik (ILP, 2002)

Toward Automatic Management of Embarrassingly Parallel Applications. - Inês de Castro Dutra; David Page; Vítor Santos Costa; Jude W. Shavlik; Michael Waddell (Euro-Par, 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 (SBAC-PAD, 2003)

Application partitioning and hierarchical management in grid environments. - Patrícia Kayser Vargas; Inês de Castro Dutra; Cláudio F. R. Geyer (Doctoral Symposium on Middleware, 2004)

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 (AMIA, 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 (CCGRID, 2005)

An Integrated Approach to Learning Bayesian Networks of Rules. - Jesse Davis; Elizabeth S. Burnside; Inês de Castro Dutra; David Page; Vítor Santos Costa (ECML, 2005)

Mode Directed Path Finding. - Irene M. Ong; Inês de Castro Dutra; David Page; Vítor Santos Costa (ECML, 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 001; Vítor Santos Costa; Jude W. Shavlik (IJCAI, 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 (MGC@Middleware, 2005)

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 (SBAC-PAD, 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)

RL-Based Scheduling Strategies in Actual Grid Environments. - Bernardo Fortunato Costa; Inês de Castro Dutra; Marta Mattoso (ISPA, 2008)

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)

Threads and or-parallelism unified. - Vítor Santos Costa; Inês de Castro Dutra; Ricardo Rocha 001 (Theory Pract. Log. Program., 2010)

Predicting Malignancy from Mammography Findings and Surgical Biopsies. - Pedro Ferreira 002; Nuno A. Fonseca; Inês de Castro Dutra; Ryan W. Woods; Elizabeth S. Burnside (BIBM, 2011)

Studying the Relevance of Breast Imaging Features. - Pedro Ferreira 002; Inês de Castro Dutra; Nuno A. Fonseca; Ryan W. Woods; Elizabeth S. Burnside (HEALTHINF, 2011)

DigiScope - Unobtrusive collection and annotating of auscultations in real hospital environments. - Daniel Pereira; Fábio de Lima Hedayioglu; Ricardo Correia 001; Tiago Silva; Inês Dutra; Filipa C. Almeida; Sandra da Silva Mattos; Miguel T. Coimbra (EMBC, 2011)

T-SPPA: Trended Statistical PreProcessing Algorithm. - Tiago Silva; Inês Dutra (ICDIPC (1), 2011)

SPPAM - Statistical PreProcessing AlgorithM - Tiago Silva; Inês de Castro Dutra (CoRR, 2011)

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 (BIBM, 2012)

Detecting cardiac pathologies from annotated auscultations. - Pedro Ferreira 002; Daniel Pereira; Felipe Mourato; Sandra da Silva Mattos; Ricardo Cruz-Correia; Miguel T. Coimbra; Inês de Castro Dutra (CBMS, 2012)

Scheduling OR-parallelism in YapOr and ThOr on Multi-Core Machines. - Inês de Castro Dutra; Ricardo Rocha 001; Vítor Santos Costa; Fernando M. A. Silva; João Santos 004 (IPDPS Workshops, 2012)

Knowledge on heart condition of children based on demographic and physiological features. - Pedro Ferreira 002; Tiago T. V. Vinhoza; Ana Castro; Felipe Mourato; Thiago Tavares; Sandra da Silva Mattos; Inês de Castro Dutra; Miguel Tavares Coimbra (CBMS, 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 (Healthcom, 2013)

A Datalog Engine for GPUs. - Carlos Alberto Martinez-Angeles; Inês de Castro Dutra; Vítor Santos Costa; Jorge Buenabad-Chávez (KDPD, 2013)

Prolog programming with a map-reduce parallel construct. - Joana Côrte-Real; Inês de Castro Dutra; Ricardo Rocha 001 (PPDP, 2013)

Expert Bayes: Automatically Refining Manually Built Bayesian Networks. - Ezilda Almeida; Pedro Ferreira 002; Tiago T. V. Vinhoza; Inês de Castro Dutra; Paulo Vinicius Koerich Borges; Yirong Wu; Elizabeth S. Burnside (ICMLA, 2014)

A hybrid mapreduce model for prolog. - Joana Côrte-Real; Inês de Castro Dutra; Ricardo Rocha 001 (ISIC, 2014)

ExpertBayes: Automatically refining manually built Bayesian networks. - Ezilda Almeida; Pedro Ferreira 002; Tiago T. V. Vinhoza; Inês de Castro Dutra; Jingwei Li; Yirong Wu; Elizabeth S. Burnside (CoRR, 2014)

Automated Diagnosis of Breast Cancer on Medical Images. - Marina Velikova; Inês Dutra; Elizabeth S. Burnside (Foundations of Biomedical Knowledge Representation, 2015)

SkILL - A Stochastic Inductive Logic Learner. - Joana Côrte-Real; Theofrastos Mantadelis; Inês de Castro Dutra; Ricardo Rocha 001; Elizabeth S. Burnside (ICMLA, 2015)

Processing Markov Logic Networks with GPUs: Accelerating Network Grounding. - Carlos Alberto Martinez-Angeles; Inês Dutra; Vítor Santos Costa; Jorge Buenabad-Chávez (ILP, 2015)

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder. - Rogerio Salvini; Rodrigo da Silva Dias; Beny Lafer; Inês Dutra (MedInfo, 2015)

Accelerating recommender systems using GPUs. - André Valente Rodrigues; Alípio Jorge; Inês Dutra (SAC, 2015)

Performance Evaluation of Statistical Functions. - André Valente Rodrigues; Carla Silva 002; Paulo Vinicius Koerich Borges; Sergio Silva; Inês Dutra (SmartCity, 2015)

SkILL - a Stochastic Inductive Logic Learner. - Joana Côrte-Real; Theofrastos Mantadelis; Inês de Castro Dutra; Ricardo Rocha 001 (CoRR, 2015)

Predicting malignancy from mammography findings and image-guided core biopsies. - Pedro Ferreira 002; Nuno A. Fonseca; Inês de Castro Dutra; Ryan W. Woods; Elizabeth S. Burnside (Int. J. Data Min. Bioinform., 2015)

Interpretable models to predict Breast Cancer. - Pedro Ferreira 002; Inês Dutra; Rogerio Salvini; Elizabeth S. Burnside (BIBM, 2016)

A Speech-to-Text Interface for MammoClass. - Ricardo Sousa Rocha; Pedro Ferreira 002; Inês de Castro Dutra; Ricardo Cruz-Correia; Rogerio Salvini; Elizabeth S. Burnside (CBMS, 2016)

Estimation-Based Search Space Traversal in PILP Environments. - Joana Côrte-Real; Inês Dutra; Ricardo Rocha 001 (ILP, 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)

On Applying Probabilistic Logic Programming to Breast Cancer Data. - Joana Côrte-Real; Inês Dutra; Ricardo Rocha 001 (ILP, 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 (ISCC, 2017)

Managing Diabetes: Counselling Supported by User Data in a Mobile Platform. - Diogo Machado; Inês Dutra; Pedro Brandão; Vítor Santos Costa (RuleML+RR (Supplement), 2017)

Optimising the calculation of statistical functions. - André Valente Rodrigues; Carla Silva 002; Paulo Ricardo Amorim Borges; Sergio Silva; Inês Dutra (Int. J. Big Data Intell., 2017)

Improving Candidate Quality of Probabilistic Logic Models. - Joana Côrte-Real; Anton Dries; Inês Dutra; Ricardo Rocha 001 (ICLP (Technical Communications), 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 (IPDPS Workshops, 2018)

Driven tabu search: a quantum inherent optimisation. - Carla Silva 002; Inês Dutra; Marcus S. Dahlem (CoRR, 2018)

Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction. - Christopher Harrison; Christine R. Kirkpatrick; Inês Dutra (CoRR, 2018)

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 (CIBB, 2019)

Using Grover's search quantum algorithm to solve Boolean satisfiability problems: Part I. - Diogo Fernandes; Inês Dutra (XRDS, 2019)

Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2. - Diogo Fernandes; Carla Silva 002; Inês Dutra (XRDS, 2019)

Representing Cellular Lines with SVM and Text Processing. - Iván Carrera; Inês Dutra; Eduardo Tejera (BCB, 2020)

A Representation Method for Cellular Lines based on SVM and Text Mining. - Iván Carrera; Inês Dutra; Eduardo Tejera (BIBM, 2020)

Erratum: Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2. - Diogo Fernandes; Carla Silva 002; Inês Dutra (XRDS, 2020)

Mapping graph coloring to quantum annealing. - Carla Silva 002; Ana Aguiar; Priscila M. V. Lima; Inês Dutra (Quantum Mach. Intell., 2020)

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 (AAAI, 2021)

Quantum Binary Classification (Student Abstract). - Carla Silva 002; Ana Aguiar; Inês Dutra (AAAI, 2021)

Predictive Maintenance for Sensor Enhancement in Industry 4.0. - Carla Silva 002; Marvin F. da Silva; Arlete Rodrigues; José Silva; Vítor Santos Costa; Alípio Jorge; Inês Dutra (ACIIDS (Companion), 2021)

Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines. - Iván Carrera; Eduardo Tejera; Inês Dutra (HEALTHINF, 2021)

Similarity of Football Players Using Passing Sequences. - Alberto Barbosa; Pedro Ribeiro 004; Inês Dutra (MLSA@PKDD/ECML, 2021)

Pruning strategies for the efficient traversal of the search space in PILP environments. - Joana Côrte-Real; Inês Dutra; Ricardo Rocha 001 (Knowl. Inf. Syst., 2021)

Mapping a logical representation of TSP to quantum annealing. - Carla Silva 002; Ana Aguiar; Priscila M. V. Lima; Inês Dutra (Quantum Inf. Process., 2021)

Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs. - Alberto Barbosa; Pedro Ribeiro 004; Inês Dutra (COMPLEX NETWORKS (2), 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 (IJCNN, 2022)

Quantum transfer learning for breast cancer detection. - Vanda Azevedo; Carla Silva 002; Inês Dutra (Quantum Mach. Intell., 2022)

Predicting Hard Disk Drive Faults, Failures and Associated Misbehavior's. - Christopher Harrison; Henish Balu; Inês Dutra (IPDPS Workshops, 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)

Data and Knowledge for Overtaking Scenarios in Autonomous Driving. - Mariana Pinto; Inês Dutra; Joaquim Fonseca (CoRR, 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)

An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems. - Emanuel Sousa Tomé; Rita P. Ribeiro; Inês Dutra; Arlete Rodrigues (Sensors, 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., 2023)

HAL 9000: a Risk Manager for ITSs. - Tadeu Freitas; Carlos Novo; João Soares; Inês Dutra; Manuel Eduardo Correia; Behnam Shariati; Rolando Martins (TPS-ISA, 2024)

Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus. - Filipe Marinho Rocha; Inês Dutra; Vítor Santos Costa (CoRR, 2024)

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation. - Luís Almeida; Inês Dutra; Francesco Renna (CoRR, 2024)

Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks. - Diego Frazatto Pedroso; Luís Almeida; Lucas Eduardo Gulka Pulcinelli; William Akihiro Alves Aisawa; Inês Dutra; Sarita Mazzini Bruschi (IEEE Access, 2025)