Image-based novel fault detection with deep learning classifiers using hierarchical labels
One important characteristic of modern fault classification systems is the ability to flag the
system when faced with previously unseen fault types. This work considers the unknown …
system when faced with previously unseen fault types. This work considers the unknown …
Exploring complex multivariate probability distributions with simple and robust bayesian network topology for classification
L Wang, L Wang, L Guo, Q Li, X Li - Applied Intelligence, 2023 - Springer
Bayesian network classifier (BNC) allows efficient and effective inference under condition of
uncertainty for classification, and it depicts the interdependencies among random variables …
uncertainty for classification, and it depicts the interdependencies among random variables …
Learning Balanced Bayesian Classifiers from Labeled and Unlabeled Data
L Guo, L Wang, Q Li, K Li - IEEE Transactions on Big Data, 2023 - ieeexplore.ieee.org
How to train learners over unbalanced data with asymmetric costs has been recognized as
one of the most significant challenges in data mining. Bayesian network classifier (BNC) …
one of the most significant challenges in data mining. Bayesian network classifier (BNC) …
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
JV Benzin, S Rinderle-Ma - arXiv preprint arXiv:2302.04018, 2023 - arxiv.org
Event prediction is the ability of anticipating future events, ie, future real-world occurrences,
and aims to support the user in deciding on actions that change future events towards a …
and aims to support the user in deciding on actions that change future events towards a …
Event Extraction for aviation accident reports through attention-based multi-label classification
View Video Presentation: https://doi. org/10.2514/6.2022-3831. vid In the aviation domain,
historical aviation accidents are recorded to prevent catastrophe in the future. The national …
historical aviation accidents are recorded to prevent catastrophe in the future. The national …
Efficient heuristics for learning scalable Bayesian network classifier from labeled and unlabeled data
L Wang, J Wang, L Guo, Q Li - Applied Intelligence, 2024 - Springer
Naive Bayes (NB) is one of the top ten machine learning algorithms whereas its attribute
independence assumption rarely holds in practice. A feasible and efficient approach to …
independence assumption rarely holds in practice. A feasible and efficient approach to …
Research on Flight Accidents Prediction based Back Propagation Neural Network
H Liu, F Shen, H Qin, F Gao - arXiv preprint arXiv:2406.13954, 2024 - arxiv.org
With the rapid development of civil aviation and the significant improvement of people's
living standards, taking an air plane has become a common and efficient way of travel …
living standards, taking an air plane has become a common and efficient way of travel …