Code and data - WST 895 thesis by Hoosain Ebrahim (14058588)

Subjects:

Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State by Yu Gu (162342)

“…We combine nonparametric maximum likelihood estimation with sieve estimation and develop a stable expectation-maximization algorithm. We establish the asymptotic properties of the proposed estimators through novel use of modern empirical process theory, sieve estimation theory, and semiparametric efficiency theory. …”

_{<em>The Algorithmic Other: Digital Dehumanisation, Psychological Harm, and the Urgent Need to Counter Resurgent Hate</em>} by Jalal Nali (20774009)

Sparse Bayesian Multidimensional Item Response Theory by Jiguang Li (3318924)

“…Bayesian methodology for MIRT models has traditionally relied on MCMC simulation, which cannot only be slow in practice, but also often renders exact sparsity recovery impossible without additional thresholding. In this work, we develop a scalable Bayesian EM algorithm to estimate sparse factor loadings from mixed continuous, binary, and ordinal item responses. …”

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”

Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

“…<div><p>Privacy is as a critical issue in the age of data. Organizations and corporations who publicly share their data always have a major concern that their sensitive information may be leaked or extracted by rivals or attackers using data miners. …”

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 80% of the data used for training.</p>…”

The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 50% of the data used for training.</p>…”

The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 60% of the data used for training.</p>…”

Point cloud data registration using the original ICP algorithm. by Mengyuan Yan (14200322)

“…<p>Point cloud data registration using the original ICP algorithm.…”

Summary of key parameters used in the CSCAP algorithm. by Manxing Shi (22367181)

Features selection using the Boruta algorithm. by Nishat Tasnim Thity (21755858)

Subjects:

Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

Subjects:

Data generation algorithm. by Aluwani Ramalata (21262977)

Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

Summary of major algorithms used for signal detection. by Feilong Tan (14886395)

Data propagation algorithm stages. by Fazia Akhtar (21453122)

Subjects: