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Academic Articles & Research Papers
Showing 7 of 67 academic articles
Sebastian Raschka, Joshua M. Patterson, Corey Nolet • Information
(2020)
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the...
OPENALEX
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DOI: https://doi.org/10.3390/info11040193
Ifiok Udoidiok, Fuhao Li, Jielun Zhang • Information
(2025)
Machine learning (ML) has become a cornerstone of critical applications, but its vulnerability to data poisoning attacks threatens system reliability and trustworthiness. Prior studies have begun to investigate the impact of data poisoning ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info17010009
Gerhard Heßler, Karl H. Baringhaus • Molecules
(2018)
Artificial Intelligence (AI) plays a pivotal role in drug discovery. In particular artificial neural networks such as deep neural networks or recurrent networks drive this area. Numerous applications in property or activity predictions like...
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DOI: https://doi.org/10.3390/molecules23102520
PMC: 6222615
Hao Xu, Yuntian Chen, Dongxiao Zhang • Advanced Science
(2022)
Abstract The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the “black box” model. Fundamental limitations remain, however, that impede the pac...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/advs.202204723
Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, Laith Abualigah et al. • Heliyon
(2024)
Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeog...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e28147
Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports
(2025)
Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-02209-2
Uyanga Dorjsembe, Ju Hong Lee, Bumghi Choi, Jae Won Song • Computers
(2021)
Deep neural networks have achieved almost human-level results in various tasks and have become popular in the broad artificial intelligence domains. Uncertainty estimation is an on-demand task caused by the black-box point estimation behavi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers10040054