Women in Artificial intelligence (AI)

• Другие авторы: Valls, Aida (Редактор), Gibert, Karina (Редактор)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Предметы: Technology: general issues; History of engineering & technology; artificial intelligence; computer-aided diagnosis; computed tomography; lung cancer; deep learning; lung nodule detection; lung nodule segmentation; convolutional neural network; cellular automaton; reconstruction; complexity; optimization; high energy physics; Reddit; user-based model; polarization; local search optimization; hate speech; hate spread; countermeasures; social networks; opinion diffusion; education; deferring hate content; cyber activism; classical Arabic; short vowels; audio dataset; convolutional neural networks; regularization; machine learning; segmentation; clustering; forecasting; book copies; publishing industry; gamification; adaptive gamification; player types; computational finance; fuzzy logic; membership function; Type-1 fuzzy sets; T1FLS; Type-2 fuzzy sets; T2FLS; women; research; CURE; hierarchical clustering; cluster validity indices; Calinski-Harabasz index; bootstrapping; Industry 4.0; 3D printing; cognitive states; mental workload; EEG analysis; neural networks; multimodal data fusion; peer assessment; multiagent system; probabilistic model; comparative analysis; Bayesian network; Artificial Intelligence; urban water cycle; hydrosocial urban cycle; urban political ecology; gender gap; equity; explainable AI; fuzzy rules; dominance-based rough set approach; diabetic retinopathy; AI; disease surveillance; pandemics; global public health; ethics; data; missing datasets; data-driven studies; women in artificial intelligence; women in data science; women in STEM; n/a
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have ap...