Registration and distance measurement of two faces. by Radek Ošlejšek (21982892)

Subjects:

Data sheet Sun. by Yoshimasa Ohmoto (19862184)

“…Machine learning is a powerful technique for learning predictive models from movement data, so drawing processes and product characteristics can be objectively evaluated. …”

Data sheet Square. by Yoshimasa Ohmoto (19862184)

“…Machine learning is a powerful technique for learning predictive models from movement data, so drawing processes and product characteristics can be objectively evaluated. …”

Data sheet Equirateral Triangle. by Yoshimasa Ohmoto (19862184)

“…Machine learning is a powerful technique for learning predictive models from movement data, so drawing processes and product characteristics can be objectively evaluated. …”

Comparative Performance Metrics of AESs. by Tianhui Chen (3044838)

“…Results revealed that two systems demonstrated strong agreement with human ratings, while the third exhibited systematic score inflation, likely due to algorithmic discrepancies and limited consideration of nuanced language features. …”

Score Distributions by Rater. by Tianhui Chen (3044838)

“…Results revealed that two systems demonstrated strong agreement with human ratings, while the third exhibited systematic score inflation, likely due to algorithmic discrepancies and limited consideration of nuanced language features. …”

Descriptive Statistics for Human Raters and AESs. by Tianhui Chen (3044838)

“…Results revealed that two systems demonstrated strong agreement with human ratings, while the third exhibited systematic score inflation, likely due to algorithmic discrepancies and limited consideration of nuanced language features. …”

A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

“…(a): The uncorrected raw data, acquired with the tracking algorithm. The sinusoidal lines appear jittery due to the irregular wobble movements of the rotation stage. …”

Data sheet Invert Equirateral Triangle. by Yoshimasa Ohmoto (19862184)

“…Machine learning is a powerful technique for learning predictive models from movement data, so drawing processes and product characteristics can be objectively evaluated. …”

A summary of the identified strategies. by Karl Gauffin (3175503)

Subjects:

Determination of optimal number of clusters. by Karl Gauffin (3175503)

Subjects:

Distribution of economic, demographic, and health related factors of the four clusters. by Karl Gauffin (3175503)

Subjects:

A world map classifying countries according to pandemic strategy. by Karl Gauffin (3175503)

Subjects:

A global cluster analysis of pandemic responses. by Karl Gauffin (3175503)

Subjects:

Data Sheet 2_Early stroke detection through machine learning in the prehospital setting.pdf by María Ríos Delgado (22004942)

Data Sheet 1_Early stroke detection through machine learning in the prehospital setting.pdf by María Ríos Delgado (22004942)

Table 1_Early stroke detection through machine learning in the prehospital setting.xlsx by María Ríos Delgado (22004942)

Fusion-based positioning trajectory map. by Ruiyi Tang (10302578)

Source code for data mining from Apache JIRA project. by Susmita Haldar (17707125)

Table 3_Reading an Artist’s Intention from the Composition (RAIC): eye movements and aesthetic experience in Japanese woodblock prints.docx by Yuka Nojo (22605614)

“…These artworks were selected from a preliminary study of 101 prints, based on the six highest and six lowest aesthetic ratings. Eye movements were segmented into 3-s intervals. Using the VBHEM algorithm, a variational Bayesian extension of the Eye Movement Hidden Markov Model (EMHMM), we evaluated the similarity between participants’ gaze sequences and expert-estimated scanpaths provided by specialists from the Japanese Painting Conservation and Restoration Laboratory of the Tokyo University of the Arts. …”