Results 51 to 60 of about 1,547,567 (330)
Adversarial machine learning phases of matter
Quantum Frontiers, 2023 We study the robustness of machine learning approaches to adversarial perturbations, with a focus on supervised learning scenarios. We find that typical phase classifiers based on deep neural networks are extremely vulnerable to adversarial perturbations:
Si Jiang, Sirui Lu, Dong-Ling Deng
doaj +1 more source
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
IEEE Access, 2020 Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level of sugar in the blood over a long period. The risk factor and severity of diabetes can be reduced significantly if the precise early prediction is possible. The
Md. Kamrul Hasan +4 more
semanticscholar +1 more source
Science of the Total Environment, 2022 Ensuring a good ecological status of water bodies is one of the key challenges of communities and one of the objectives of the European Water Framework Directive.
C. Arrighi, F. Castelli
semanticscholar +1 more source
Probability-driven scoring functions in combining linear classifiers [PDF]
Journal of Universal Computer Science, 2022 Although linear classifiers are one of the oldest methods in machine learning, they are still very popular in the machine learning community. This is due to their low computational complexity and robustness to overfitting.
Pawel Trajdos, Robert Burduk
doaj +3 more sources
Comparison of Machine Learning Classifiers for Reducing Fitness Evaluations of Structural Optimization [PDF]
Journal of Soft Computing in Civil Engineering, 2021 Metaheuristic algorithms have been widely used to solve structural optimization problems. Despite their powerful search capabilities, these algorithms often require a large number of fitness evaluations.
Tran-Hieu Nguyen, Anh-Tuan Vu
doaj +1 more source
Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers
IEEE Access, 2021 Fault identification in Photovoltaic (PV) array is a contemporary research topic motivated by the higher penetration levels of PV systems in recent electrical grids.
M. M. Badr +5 more
semanticscholar +1 more source
Machine Learning Diagnosis of Dengue Fever: A Cost-Effective Approach for Early Detection and Treatment [PDF]
Ovidius University Annals: Economic Sciences Series, 2023 This research aims to explore the potential of machine learning algorithms for diagnosing of dengue fever and assess their cost-effectiveness compared to conventional methods.
Hamzat Salami +2 more
doaj
Classifying topological sector via machine learning [PDF]
Proceedings of 37th International Symposium on Lattice Field Theory — PoS(LATTICE2019), 2020 7 pages, 4 figures, 4 tables, talk presented at the 37th International Symposium on Lattice Field Theory - Lattice 2019, 16-22 June 2019, Wuhan ...
Kitazawa, Masakiyo +2 more
openaire +2 more sources
A review of epileptic seizure detection using machine learning classifiers
Brain Informatics, 2020 Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain signals produced by brain neurons. Neurons are connected to each other in a complex way to communicate with human organs and generate signals.
M. K. Siddiqui +3 more
semanticscholar +1 more source
International Journal of Computational Intelligence Systems, 2021 Turkish small-and medium-sized enterprises (SMEs) are exposed to fraud risks and creditor banks are facing big challenges to deal with financial accounting fraud.
Serhan Hamal, Ö. Senvar
semanticscholar +1 more source