Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning

F Mumuni, A Mumuni - Cognitive Systems Research, 2024 - Elsevier
We review current and emerging knowledge-informed and brain-inspired cognitive systems
for realizing adversarial defenses, eXplainable Artificial Intelligence (XAI), and zero-shot or …

Artificial intelligence for biomedical video generation

L Li, J Qiu, A Saha, L Li, P Li, M He, Z Guo… - arxiv preprint arxiv …, 2024 - arxiv.org
As a prominent subfield of Artificial Intelligence Generated Content (AIGC), video generation
has achieved notable advancements in recent years. The introduction of Sora-alike models …

[HTML][HTML] Computer-Integrated Surface Image Processing of Hydrogen-Saturated Steel Wear Products

AI Balitskii, VO Kolesnikov, VO Balitska… - Applied Sciences, 2024 - mdpi.com
Featured Application Modern robotic approaches to the evaluation of sensitivity to hydrogen
embrittlement and the degradation of steel and alloys by wear products. Abstract This paper …

Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models

L Yu, H Zhang, C Xu - arxiv preprint arxiv:2410.21802, 2024 - arxiv.org
Due to the impressive zero-shot capabilities, pre-trained vision-language models (eg CLIP),
have attracted widespread attention and adoption across various domains. Nonetheless …

[PDF][PDF] CERTIFICATE OF ACCEPTANCE

AI Balitskii, VO Kolesnikov, VO Balitska, LM Ivaskevych… - researchgate.net
2. Balyts' kyi, OI; Kolesnikov, VO Investigation of the wear products of austenitic manganese
cast irons. Mater. Sci. 2004, 40, 78–82. https://doi. org/10.1023/B: MASC …