This article discusses the use of big data analytics to classify earthwork-related locations (ERLs), which are significant sources of urban dust pollution. The researchers used dump truck trajectory, point of…
Continue readingThe article proposes a way to incorporate expert rules into machine learning models, specifically in the context of concept-based learning. The authors discuss methods to combine logical rules and neural…
Continue readingThis academic article presents a comprehensive survey on the use of deep learning methodologies for skill extraction and classification from job postings. The paper addresses the lack of standardized terminology…
Continue readingThis research explores the use of machine learning classifiers for modeling freight mode choice. Eight common machine learning classifiers and the Multinomial Logit model are investigated using the 2012 Commodity…
Continue readingThe paper introduces DATAR, a Deformable Audio Transformer for audio recognition. The authors argue that the quadratic complexity of self-attention computation in existing transformer models limits their application in low-resource…
Continue readingThe study proposes a new method called TMac for acoustic event classification. This method uses temporal multi-modal graph learning to improve the processing of audiovisual data in deep learning models….
Continue readingThis research article questions the fairness and interpretability of deep learning classification results obtained on CT scans. The authors point out that most deep learning-based classification attempts solely focus on…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
