Maria Seale

Orcid: 0000-0003-3858-0381

According to our database1, Maria Seale authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems.
CoRR, 2024

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities.
CoRR, 2024

2023
Explainable Intrusion Detection Systems Using Competitive Learning Techniques.
CoRR, 2023

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review.
IEEE Access, 2023

Adverse Outcome Pathways for Engineered Systems.
Proceedings of the IEEE International Systems Conference, 2023

A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022
Designing an Artificial Immune System inspired Intrusion Detection System.
CoRR, 2022

Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities.
IEEE Access, 2022

Creating an Explainable Intrusion Detection System Using Self Organizing Maps.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Fuzzy Epigenetic Model for Representing Degradation in Engineered Systems.
Proceedings of the Intelligent Computing, 2022

2021
Evaluation of machine learning algorithms to predict the hydrodynamic radii and transition temperatures of chemo-biologically synthesized copolymers.
Comput. Biol. Medicine, 2021

A Survey of HMM-based Algorithms in Machinery Fault Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Deep Learning Approaches to Remaining Useful Life Prediction: A Survey.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Leveraging Big Data to Discover High Yield Prognostics Applications.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

Similarity Based Methods for Faulty Pattern Detection in Predictive Maintenance.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

An Approach to Gamifying Acquisitions for Assessing Impact on Military Strategy of Nation States.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2021

2019
An Epistemological Model for a Data Analysis Process in Support of Verification and Validation.
Proceedings of the Information Quality in Information Fusion and Decision Making, 2019


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