and semantics-based explainable event detection by answering some research questions that bother on the characteristics of human-centric explanations, the state of explainable AI, methods for human-centric explanations, the essence of human-centricity in explainable event detection, research efforts in exp...
Google Scholar [46] Peng C, Zhang X, Yu G, et al. Large Kernel matters improve semantic segmentation by global convolutional network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, 2017. 4353--4361. Google Scholar [47] Wang P, Chen P, Yua...
You can see inthe blogthat announced Bard, that it is a standalone conversational AI experiment using a lightweight version of LaMDA, our LLM which has been in the works at Google for years through our Research team. But to confirm, this isn’t a Search product. ...
During the last decade {\\em stream reasoning} has emerged as a research area within the AI-community with many potential applications. In fact, the increased availability of streaming data via services like Google and Facebook has raised the need for reasoning engines coping with data that ...
Google news (general-purpose). The idea is to include two similar representations with different abstraction levels. We used the pre-trained word vectors without fine-tuning on the target data. Word-normalization features: the token is normalized, i.e., lower characters, upper characters, numbers...
Search in Google Scholar Chung, Sung-Yeo (鄭聖汝). 2006. A typological study of causatives in Korean and Japanese from functional perspectives (韓日使役構文の機能的類型論研究). Tokyo: Kuroshio Publishers (くろしお出版).Search in Google Scholar Comrie, Bernard. 1981. Language universals and ...
We develop a formal semantic analysis of the alarm calls used by Campbell's monkeys in the Tai forest (Ivory Coast) and on Tiwai island (Sierra Leone)鈥攖wo sites that differ in the main predators that the monkeys are exposed to (eagles on Tiwai vs. eagles and leopards in Tai). ...
We report about experiments performed on the Web Directories of Google and Yahoo!Bernardo MagniniLuciano SerafiniManuela SperanzaITC-irst Istituto per la Ricerca Scientifica e Tecnologica Via Sommarive 18 -Povo 38050 Trento, ItalyAI*IA 2003: Advances in artificial intelligence: 8th congress of the ...
the medical AI domain, more human-based reseasoning needs to be applied [63] in the form of explainability. To enhance the adoption of deep learning models in the medical AI domain, [62] recommended the use of various explainable AI (XAI) techniques hence, the addition of feature analysis ...