Results 61 to 70 of about 448,167 (282)

When is black-box AI justifiable to use in healthcare?

Big Data & Society
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

Black-Box Universal Adversarial Attack for DNN-Based Models of SAR Automatic Target Recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar automatic target recognition (SAR-ATR) models based on deep neural networks (DNNs) are vulnerable to attacks of adversarial examples. Universal adversarial attack algorithms can help evaluate and improve the robustness of the SAR-
Xuanshen Wan, Wei Liu, Chaoyang Niu, Wanjie Lu, Meng Du, Yuanli Li   +5 more
doaj   +1 more source

Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model

Applied Sciences, 2022
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, Manuel Fernandez Montejano, Sudnya Vaidya, Romain Tabusse   +3 more
doaj   +1 more source

Faster black-box algorithms through higher arity operators [PDF]

Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms, 2011
To appear at FOGA ...
Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre, Markus Wagner 0007, Carola Winzen   +5 more
openaire   +3 more sources

We might be afraid of black-box algorithms

Journal of Medical Ethics, 2021
Fears of black-box algorithms are multiplying. They are said to prevent accountability,1 to make it harder to detect bias2 and so on. Some fears concern the epistemology of black-box algorithms in medicine and the ethical implications of that epistemology. In ‘Who is afraid of black box algorithms?
Carissa Véliz, Carina Prunkl, Milo Phillips-Brown, Theodore M Lechterman   +3 more
openaire   +2 more sources

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach

BMC Medical Informatics and Decision Making, 2023
Background Advanced machine learning models have received wide attention in assisting medical decision making due to the greater accuracy they can achieve. However, their limited interpretability imposes barriers for practitioners to adopt them.
Xiaoquan Gao, Sabriya Alam, Pengyi Shi, Franklin Dexter, Nan Kong   +4 more
doaj   +1 more source

secml: Secure and explainable machine learning in Python

SoftwareX, 2022
We present secml, an open-source Python library for secure and explainable machine learning. It implements the most popular attacks against machine learning, including test-time evasion attacks to generate adversarial examples against deep neural ...
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio   +5 more
doaj   +1 more source

Approximating Fractional Time Quantum Evolution

, 2009
An algorithm is presented for approximating arbitrary powers of a black box unitary operation, $\mathcal{U}^t$, where $t$ is a real number, and $\mathcal{U}$ is a black box implementing an unknown unitary.
Aaronson S, Brassard G, Childs A M, Chuang I, Cleve R Gottesman D Mosca M Somma R Yonge-Mallo D, D Maslov, Farhi E Goldstone J Gutmann S, Fletcher A, Grover L K, Ioannou L, Kaye P, Kitaev A, L Sheridan, M Mosca, Nielsen M   +14 more
core   +1 more source

A Comparison of Global Search Algorithms for Continuous Black Box Optimization [PDF]

Evolutionary Computation, 2012
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, Huyer, Waltraud, Pál, Lászlo   +2 more
openaire   +3 more sources