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04:58 Deep Learning Approach for Detecting Uveitis via… Deep Learning Approach for Detecting Uveitis via non-invasive Methods	Deep Learning Approach for Detecting Uveitis via non-invasive Methods Senior Design Project: SD12 (ML category) Team Lead: Luca Cerny Oliveira Advisor: Prof. Chuah model scans classification models features ct percent dataset scan grad dme augmentation class guys uveitis quality splits challenge greg cnv From Femi-Jide Akinmoladun 0 likes 8 plays 0
04:50 Audio4All - Audio Signal Processing Audio4All - Audio Signal Processing	Audio4All - Audio Signal Processing Senior Design Project: SD10b (Sytems Category) Team Lead: Christian Lum Advisor: Prof. Knoesen model models dataset recommendations decisions chord ideas progression notes musicians box musician lstm court chords progressions couple lot sound board From Femi-Jide Akinmoladun 0 likes 19 plays 0
58:13 ECS 153, Spring 2021; Lecture #15; April 30, 2021 ECS 153, Spring 2021; Lecture #15; April 30, 2021	ECS 153, Spring 2021; Lecture #15; April 30, 2021 ECS 153 Spring 2021. Computer Security. This discusses trust, the Chinese Wall model, ORCON, and begins RBAC. The video begins at 6:03 from the beginning. trust conflict bank interest problem credential class model credentials wall entity person things object objects access models reputation vulnerabilities dataset From Matt Bishop 0 likes 30 plays 0
01:03:54 ECS 235B, Winter 2021; Lecture #14; February 5,… ECS 235B, Winter 2021; Lecture #14; February 5, 2021	ECS 235B, Winter 2021; Lecture #14; February 5, 2021 Foundations of Computer and Information Security. This covers network flooding attacks anf the Chinese Wall model. The class starts at 7:37 into the video. bank object conflict interest attack objects dataset connection packet model class connections packets cd access network things cli source subjects From Matt Bishop 0 likes 37 plays 0
23:08 Discussion-A-11-24-20 Discussion-A-11-24-20	Discussion-A-11-24-20 decision deviation outlook trees tree dataset attributes values attribute training model steps reduction class regression target complexity parameter variance questions From Dhruvatara Bhogishetty 0 likes 61 plays 0
48:38 FST117_L3_Data visualization FST117_L3_Data visualization	FST117_L3_Data visualization chart consumers variable liking plot dataset biscuits excel evaluation average ggplot data visualization ggplot2 scatterplot From Julien Delarue 0 likes 94 plays 0
45:39 FST117_L1_Introduction to sensory evaluation and… FST117_L1_Introduction to sensory evaluation and sensory data	FST117_L1_Introduction to sensory evaluation and sensory data analysis evaluation subjects difference dataset attributes variability measurements table techniques panel flavor consumers methods human science food sample profile hedonic liking From Julien Delarue 0 likes 162 plays 0
56:43 MADDD-HenryAdamsSpring2020 MADDD-HenryAdamsSpring2020	MADDD-HenryAdamsSpring2020 data science topology applied geometry machine learning homology points machine geometry holes bars circle point lot intervals model shape dataset energy surface bit components fish features From Jesus De Loera 0 likes 32 plays 0
32:47 BIS180L Discussion Apr 24 BIS180L Discussion Apr 24	BIS180L Discussion Apr 24 BIS180L Discussion. More about PCA and MDS column questions pc1 pca snps plot columns numbers snp mds sampling individuals components dataset dimensions thing individual component pc genotype From Julin Maloof 0 likes 33 plays 0
10:04 BIS180L Lecture 7b PCA BIS180L Lecture 7b PCA	BIS180L Lecture 7b PCA BIS180L Lecture on PCA and MDS as applied to SNP data sets. marker dimensions components pca snps dataset variation component sets mercury pc2 individuals mds principle 3d pc1 clusters variance vector analysis From Julin Maloof 0 likes 48 plays 0