Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept
Sign Up to like & getrecommendations! Published in 2025 at "Journal of the Experimental Analysis of Behavior"
DOI: 10.1002/jeab.70029
Abstract: Traditionally, the experimental analysis of behavior has relied on the single discrete response paradigm (e.g., key pecks, lever presses, screen clicks) to identify behavioral patterns. However, the development and availability of new technology allow researchers… read more here.
Keywords: detect schedules; using spatiotemporal; machine learning; spatiotemporal data ... See more keywords
First Trimester Prenatal Diagnosis of a Conotruncal Anomaly Using Spatiotemporal Image Correlation Imaging Confirmed by Conventional Autopsy.
Sign Up to like & getrecommendations! Published in 2020 at "Fetal and pediatric pathology"
DOI: 10.1080/15513815.2020.1806419
Abstract: BACKGROUND Fetal echocardiography continues to be the first line investigation for detecting congenital heart diseases (CHD). As accurate and complete diagnosis of complex heart disease is often difficult in the first trimester due to small… read more here.
Keywords: conotruncal anomaly; diagnosis; conventional autopsy; autopsy ... See more keywords
Video Saliency Prediction Using Spatiotemporal Residual Attentive Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2936112
Abstract: This paper proposes a novel residual attentive learning network architecture for predicting dynamic eye-fixation maps. The proposed model emphasizes two essential issues, i.e., effective spatiotemporal feature integration and multi-scale saliency learning. For the first problem,… read more here.
Keywords: prediction using; video saliency; saliency prediction; using spatiotemporal ... See more keywords