Inês Dutra

54 papers A* 2B 4C 1Misc 1Journal 22Unranked 19
YearRankTypeTitle / Venue / Authors
2026 — conf
Deep Learning Strategies for Molecular Structure Inference from Mass Spectra: A Comparative Study of Transformer Generation and Siamese Metric Learning.
BIOSTEC (2)
Iván Carrera, Pablo Del Hierro, Fernando Cardenas, Dylan Villarroel, Inês Dutra, Eduardo Tejera
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX
ECML/PKDD (9)
Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X
ECML/PKDD (10)
Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII
ECML/PKDD (8)
Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2025 J jnl
A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 With New Scoring and Data Sources.
Softw. Pract. Exp.
Tadeu Freitas, Carlos Novo, Inês Dutra, João Soares, Manuel Eduardo Correia, Benham Shariati, Rolando Martins
2025 J jnl
A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 with New Scoring and Data Sources.
CoRR
Tadeu Freitas, Carlos Novo, Inês Dutra, João Soares, Manuel Eduardo Correia, Benham Shariati, Rolando Martins
2025 J jnl
Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks.
IEEE Access
Diego Frazatto Pedroso, Luís Almeida, Lucas Eduardo Gulka Pulcinelli, William Akihiro Alves Aisawa, Inês Dutra, Sarita Mazzini Bruschi
2025 — conf
Leveraging Large Language Models for Anomaly Detection in Microservices Architectures.
SBAC-PADW
Diego Frazatto Pedroso, Luís Almeida, William Akihiro Alves Aisawa, Inês Dutra, Sarita Mazzini Bruschi
2024 — conf
HAL 9000: a Risk Manager for ITSs.
TPS-ISA
Tadeu Freitas, Carlos Novo, João Soares, Inês Dutra, Manuel Eduardo Correia, Behnam Shariati, Rolando Martins
2024 J jnl
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation.
CoRR
Luís Almeida, Inês Dutra, Francesco Renna
2024 J jnl
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus.
CoRR
Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa
2023 J jnl
An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems.
Sensors
Emanuel Sousa Tomé, Rita P. Ribeiro, Inês Dutra, Arlete Rodrigues
2023 J jnl
Data and Knowledge for Overtaking Scenarios in Autonomous Driving.
CoRR
Mariana Pinto, Inês Dutra, Joaquim Fonseca
2023 J jnl
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).
CoRR
Christine R. Kirkpatrick, Kevin L. Coakley, Julie Christopher, Inês Dutra
2023 J jnl
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).
Data Sci. J.
Christine R. Kirkpatrick, Kevin L. Coakley, Julianne Christopher, Inês Dutra
2023 J jnl
HAL 9000: Skynet's Risk Manager.
CoRR
Tadeu Freitas, Mario Tasso Ribeiro Serra Neto, Inês Dutra, João Soares, Manuel Eduardo Correia, Rolando Martins
2023 — conf
Predicting Hard Disk Drive Faults, Failures and Associated Misbehavior's.
IPDPS Workshops
Christopher Harrison, Henish Balu, Inês Dutra
2022 — conf
Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs.
COMPLEX NETWORKS (2)
Alberto Barbosa, Pedro Ribeiro, Inês Dutra
2022 B conf
Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method.
IJCNN
Mario T. R. Serra Neto, Inês Dutra, Marco Antônio Florenzano Mollinetti
2022 J jnl
Quantum transfer learning for breast cancer detection.
Quantum Mach. Intell.
Vanda Azevedo, Carla Silva, Inês Dutra
2021 A* conf
Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract).
AAAI
Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Inês Dutra
2021 J jnl
Mapping a logical representation of TSP to quantum annealing.
Quantum Inf. Process.
Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra
2021 — conf
Predictive Maintenance for Sensor Enhancement in Industry 4.0.
ACIIDS (Companion)
Carla Silva, Marvin F. da Silva, Arlete Rodrigues, José Silva, Vítor Santos Costa, Alípio Jorge, Inês Dutra
2021 J jnl
Pruning strategies for the efficient traversal of the search space in PILP environments.
Knowl. Inf. Syst.
Joana Côrte-Real, Inês Dutra, Ricardo Rocha
2021 A* conf
Quantum Binary Classification (Student Abstract).
AAAI
Carla Silva, Ana Aguiar, Inês Dutra
2021 — conf
Similarity of Football Players Using Passing Sequences.
MLSA@PKDD/ECML
Alberto Barbosa, Pedro Ribeiro, Inês Dutra
2021 — conf
Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines.
HEALTHINF
Iván Carrera, Eduardo Tejera, Inês Dutra
2020 — conf
A Representation Method for Cellular Lines based on SVM and Text Mining.
BIBM
Iván Carrera, Inês Dutra, Eduardo Tejera
2020 J jnl
Erratum: Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2.
XRDS
Diogo Fernandes, Carla Silva, Inês Dutra
2020 J jnl
Mapping graph coloring to quantum annealing.
Quantum Mach. Intell.
Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra
2020 — conf
Representing Cellular Lines with SVM and Text Processing.
BCB
Iván Carrera, Inês Dutra, Eduardo Tejera
2019 — conf
Characterizing Bipolar Disorder-Associated Single Nucleotide Polymorphisms in a Large British Cohort Using Association Rules.
CIBB
Alberto Pinheira, Rodrigo da Silva Dias, Camila Nascimento, Inês Dutra
2019 J jnl
Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2.
XRDS
Diogo Fernandes, Carla Silva, Inês Dutra
2019 J jnl
Using Grover's search quantum algorithm to solve Boolean satisfiability problems: Part I.
XRDS
Diogo Fernandes, Inês Dutra
2018 J jnl
Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction.
CoRR
Christopher Harrison, Christine R. Kirkpatrick, Inês Dutra
2018 J jnl
Driven tabu search: a quantum inherent optimisation.
CoRR
Carla Silva, Inês Dutra, Marcus S. Dahlem
2018 — conf
Improving Candidate Quality of Probabilistic Logic Models.
ICLP (Technical Communications)
Joana Côrte-Real, Anton Dries, Inês Dutra, Ricardo Rocha
2018 — conf
atSNPInfrastructure, a Case Study for Searching Billions of Records While Providing Significant Cost Savings over Cloud Providers.
IPDPS Workshops
Christopher Harrison, Sündüz Keles, Rebecca Hudson, Sunyoung Shin, Inês Dutra
2017 — ed.
High Performance Computing for Computational Science - VECPAR 2016 - 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers
VECPAR
Inês Dutra, Rui Camacho, Jorge G. Barbosa, Osni Marques
2017 — conf
Managing Diabetes: Counselling Supported by User Data in a Mobile Platform.
RuleML+RR (Supplement)
Diogo Machado, Inês Dutra, Pedro Brandão, Vítor Santos Costa
2017 C conf
Managing diabetes: Pattern discovery and counselling supported by user data in a mobile platform.
ISCC
Diogo Machado, Tiago Paiva, Inês Dutra, Vítor Santos Costa, Pedro Brandão
2017 B conf
On Applying Probabilistic Logic Programming to Breast Cancer Data.
ILP
Joana Côrte-Real, Inês Dutra, Ricardo Rocha
2017 J jnl
Optimising the calculation of statistical functions.
Int. J. Big Data Intell.
André Valente Rodrigues, Carla Silva, Paulo Ricardo Amorim Borges, Sergio Silva, Inês Dutra
2016 B conf
Estimation-Based Search Space Traversal in PILP Environments.
ILP
Joana Côrte-Real, Inês Dutra, Ricardo Rocha
2016 — conf
Interpretable models to predict Breast Cancer.
BIBM
Pedro Ferreira, Inês Dutra, Rogerio Salvini, Elizabeth S. Burnside
2016 J jnl
Relational Learning with GPUs: Accelerating Rule Coverage.
Int. J. Parallel Program.
Carlos Alberto Martinez-Angeles, Haicheng Wu, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez
2015 — conf
A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.
MedInfo
Rogerio Salvini, Rodrigo da Silva Dias, Beny Lafer, Inês Dutra
2015 J jnl
Accelerating Recommender Systems using GPUs.
CoRR
André Valente Rodrigues, Alípio Jorge, Inês Dutra
2015 Misc conf
Accelerating recommender systems using GPUs.
SAC
André Valente Rodrigues, Alípio Jorge, Inês Dutra
2015 — ch.
Automated Diagnosis of Breast Cancer on Medical Images.
Foundations of Biomedical Knowledge Representation
Marina Velikova, Inês Dutra, Elizabeth S. Burnside
2015 — conf
Performance Evaluation of Statistical Functions.
SmartCity
André Valente Rodrigues, Carla Silva, Paulo Vinicius Koerich Borges, Sergio Silva, Inês Dutra
2015 B conf
Processing Markov Logic Networks with GPUs: Accelerating Network Grounding.
ILP
Carlos Alberto Martinez-Angeles, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez
2011 — conf
DigiScope - Unobtrusive collection and annotating of auscultations in real hospital environments.
EMBC
Daniel Pereira, Fábio de Lima Hedayioglu, Ricardo Correia, Tiago Silva, Inês Dutra, Filipa C. Almeida, Sandra da Silva Mattos, Miguel T. Coimbra
2011 — conf
T-SPPA: Trended Statistical PreProcessing Algorithm.
ICDIPC (1)
Tiago Silva, Inês Dutra