Lightweight, useful implementation of conformal prediction on real data. natural-language-processingcomputer-visiontime-seriesuncertaintyuncertainty-quantificationuncertainty-estimationconformaltime-series-predictionconformal-predictiondistribution-shiftconformal-inference ...
Study on student performance estimation, student progress analysis, and student potential prediction based on data mining 来自 Semantic Scholar 喜欢 0 阅读量: 303 作者:Fan Yang a,Frederick W.B. Li b 摘要: Student performance, student progress and student potential are critical for measuring ...
Shotton, J., Girshick, R., Fitzgibbon, A., Sharp, T., Cook, M., Finocchio, M., Moore, R., Kohli, P., Criminisi, A., Kipman, A., & Blake, A. (2013). Efficient human pose estimation from single depth images. PAMI. Shou, Z., Chan, J., Zareian, A., Miyazawa, K., & ...
Real-time estimation of freeway accident likelihood for safety enhancement J. Transp. Eng., 131 (5) (2005), pp. 358-363 View in ScopusGoogle Scholar Pan et al., 2017 G. Pan, L. Fu, L. Thakali Development of a global road safety performance function using deep neural networks Int. ...
Sequence-to-Sequence Recurrent Graph Convolutional Networks for Traffic Estimation and Prediction Using Connected Probe Vehicle Data. Amr Abdelraouf (Department of Civil, Environmental and Construction Engineering), Mohamed Abdel-Aty, Nada Mahmoud. TITS 2023 [link] The Interacting Multiple Model Smooth ...
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Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization. Neural Netw. 130, 286-296 [47] Lin, S., Lin, C., Gasselt, S.V., 2021. Processing Framework for Landslide Detection Based on Synthetic ...
The literature also reports the use of image data for air quality prediction. For instance16, introduces AQC-Net, a deep learning-based model for air quality estimation from scene images. A self-supervision module called Spatial and Context Attention (SCA) block enhances feature representation by ...
The considered CNN in this study has a fully connected layer and three convolutional layers; the selection of the convolutional layer channels was based on grid search. Furthermore, the activation function used is the rectified linear units (ReLU) while adaptive moment estimation (Adam) is used ...
Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer (gwo). Applied Sciences 9 (18), 3755. [18] Cherkassky, V., Ma, Y., 2004. Practical selection of SVM parameters and noise estimation ...