Results 51 to 60 of about 4,461,134 (292)
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
Performance complementarity of solvers available to tackle black-box optimization problems gives rise to the important task of algorithm selection (AS). Automated AS approaches can help replace tedious and labor-intensive manual selection, and have already shown promising performance in various optimization domains.
Kostovska, Ana +5 more
openaire +7 more sources
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Black-box Attack Algorithm for SAR-ATR Deep Neural Networks Based on MI-FGSM
The field of Synthetic Aperture Radar Automatic Target Recognition (SAR-ATR) lacks effective black-box attack algorithms. Therefore, this research proposes a migration-based black-box attack algorithm by combining the idea of the Momentum Iterative Fast ...
Xuanshen WAN +3 more
doaj +1 more source
Boundary Black-box Adversarial Example Generation Algorithm on Video Recognition Models [PDF]
With the rapid development of deep learning,neural networks are widely used in various fields.However,neural networks still face the problem of adversarial attacks.Among all types of adversarial attacks,the boundary black-box attack can only obtain the ...
JING Yulin, WU Lijun, LI Zhiyuan, DENG Qi
doaj +1 more source
A Comparison of Global Search Algorithms for Continuous Black Box Optimization [PDF]
Four methods for global numerical black box optimization with origins in the mathematical programming community are described and experimentally compared with the state of the art evolutionary method, BIPOP-CMA-ES. The methods chosen for the comparison exhibit various features that are potentially interesting for the evolutionary computation community:
Pošík, Petr +2 more
openaire +4 more sources
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
To appear in the Proceedings of GECCO ...
François Clément +5 more
openaire +5 more sources
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso +5 more
wiley +1 more source
When is black-box AI justifiable to use in healthcare?
Although it is reasonable and valuable to seek explanations for decisions made by artificial intelligence (AI), it is simply not possible with black-box AI algorithms.
Sinead Prince, Julian Savulescu
doaj +1 more source
Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model
In order to study the state of health (SOH) of unbalanced battery packs in real life, a thorough analysis is carried out using only data available and standard charging material.
Daniela Chrenko +3 more
doaj +1 more source
Opening the Black Box inside Grover’s Algorithm
Grover’s algorithm is one of the primary algorithms offered as evidence that quantum computers can provide an advantage over classical computers. It involves an “oracle” (external quantum subroutine), which must be specified for a given application and whose internal structure is not part of the formal scaling of the quadratic ...
Stoudenmire, E. M., Waintal, Xavier
openaire +4 more sources

