Data-driven cervical cancer prediction model with outlier detection and over-sampling methods
Globally, cervical cancer remains as the foremost prevailing cancer in females. Hence, it is
necessary to distinguish the importance of risk factors of cervical cancer to classify potential …
necessary to distinguish the importance of risk factors of cervical cancer to classify potential …
DC programming and DCA: thirty years of developments
HA Le Thi, T Pham Dinh - Mathematical Programming, 2018 - Springer
The year 2015 marks the 30th birthday of DC (Difference of Convex functions) programming
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …
The impact of AI on the advertising process: The Chinese experience
X Qin, Z Jiang - Journal of Advertising, 2019 - Taylor & Francis
Knowing that the demand for advertising in a growing e-commerce market cannot be
sufficiently addressed in a traditional advertising operation model, advertisers and e …
sufficiently addressed in a traditional advertising operation model, advertisers and e …
Open issues and recent advances in DC programming and DCA
HA Le Thi, T Pham Dinh - Journal of Global Optimization, 2024 - Springer
DC (difference of convex functions) programming and DC algorithm (DCA) are powerful
tools for nonsmooth nonconvex optimization. This field was created in 1985 by Pham Dinh …
tools for nonsmooth nonconvex optimization. This field was created in 1985 by Pham Dinh …
Transmit sequence design for dual-function radar-communication system with one-bit DACs
In this paper, the problem of transmit sequence design for a dual-function radar-
communication (DFRC) system equipped with one-bit digital-to-analog converters (DACs) is …
communication (DFRC) system equipped with one-bit digital-to-analog converters (DACs) is …
DC approximation approaches for sparse optimization
Sparse optimization refers to an optimization problem involving the zero-norm in objective or
constraints. In this paper, nonconvex approximation approaches for sparse optimization …
constraints. In this paper, nonconvex approximation approaches for sparse optimization …
Disciplined convex-concave programming
In this paper we introduce disciplined convex-concave programming (DCCP), which
combines the ideas of disciplined convex programming (DCP) with convex-concave …
combines the ideas of disciplined convex programming (DCP) with convex-concave …
Evaluation of machine learning based optimized feature selection approaches and classification methods for cervical cancer prediction
Cervical cancer is one type of gynaecological cancers and the majority of these
complications of cervical cancer are associated to human papillomavirus infection. There …
complications of cervical cancer are associated to human papillomavirus infection. There …
A Continuous Exact Penalty (CEL0) for Least Squares Regularized Problem
Within the framework of the \ell_0 regularized least squares problem, we focus, in this paper,
on nonconvex continuous penalties approximating the \ell_0-norm. Such penalties are …
on nonconvex continuous penalties approximating the \ell_0-norm. Such penalties are …
Development of ergonomic posture recognition technique based on 2D ordinary camera for construction hazard prevention through view-invariant features in 2D …
Outdoor tasks operated by construction workers are physically demanding, requiring
awkward postures leading to pain, injury, accident, or permanent disability. Ergonomic …
awkward postures leading to pain, injury, accident, or permanent disability. Ergonomic …