Machine learning for microscopy image analysis by Azry, Amerul Tajuddin

“…This research project is based on microscopy image analysis and how machine learning can be used for work such as detection and classification to aid in the speed of processing multiple images where traditional methods fall off.…”
Get full text

Automating feature engineering in machine Learning by Zhu, Haoyu

“…Automated feature selection was also tested on wrapper methods by utilizing the Bayesian optimization method. …”
Get full text

Scientific machine learning for knowledge discovery by Siddesh Sambasivam Suseela

“…Finally, highlighting the key challenges in the current methods and future research directions in using machine learning to automate scientific knowledge discovery and incorporation.…”
Get full text

Deep learning with constrained data resource by Mao, Jiangtian

“…This report provides a solution to solve the few samples learning (FSL) problems. The method can achieve a better accuracy compared to simple full-supervised learning methods, especially the problem becomes to a one-shotting problem.…”
Get full text

Game-based cryptographic algorithms learning by Tan, Malcolm Wei Zhang

Get full text

An exemplar model for learning object classes by Chum, O, Zisserman, A

“…We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. …”

Learning dynamic models for robotic manipulation by Bui, Thien Phuc

Get full text

Deep learning for fabric defect detection by Nangia, Saniya

“…Defects occur in the fabric production process due to machine-related errors or system faults. Deep learning solutions can be employed to increase the frequency and accuracy of detection, while reducing the time, cost and labour involved in textile manufacturing. …”
Get full text

Adversarial robustness of deep reinforcement learning by Qu, Xinghua

“…Over the past decades, the advancements in deep reinforcement learning (DRL) have demonstrated that deep neural network (DNN) policies can be trained to prescribe near-optimal actions in many complex tasks. …”
Get full text

Procedural Material Generation with Reinforcement Learning by Li, Beichen, Hu, Yiwei, Guerrero, Paul, Hasan, Milos, Shi, Liang, Deschaintre, Valentin, Matusik, Wojciech

“…We show that using RL significantly improves parameter prediction to match a given target image compared to supervised methods on both synthetic and real target images.…”
Get full text

Image classification by multimodal subspace learning by Yu, Jun, Lin, Feng, Seah, Hock Soon, Li, Cuihua, Lin, Ziyu

“…In recent years we witnessed a surge of interest in subspace learning for image classification. However, the previous methods lack of high accuracy since they do not consider multiple features of the images. …”
Get full text
Get full text

Transfer learning application on snake classification by Tananda, Hans

“…This is possible by applying machine learning methods to classify the snake images and creating a simple mobile application for public use. …”
Get full text

Refining learning models in grammatical inference by Wang, Xiangrui

“…We introduce the use of recurrent neural networks (RNNs) and present a pruning learning method to avoid the exponential space costs. …”
Get full text

Machine learning for chemical components testing by Tan, Ashley Zhao Kiat

“…Following this, two new machine learning approaches are taken to evaluate the effectiveness on chemical mixture identification. …”
Get full text

15.093 / 2.098 Optimization Methods (SMA 5213), Fall 2004 by Bertsimas, Dimitris

Get full text

Incremental learning technologies for semantic segmentation by Yang, Yizhuo

“…To solve this problem, an incremental learning method: Combination of Old Prediction and Modified Label (COPML) is developed in this dissertation project. …”
Get full text

Modeling e-learning effectiveness and usability by Leong, Lock Wah.

“…The Kirkpatrick model and the Usability method are combined into questionnaire to obtain feedback from users after their E-Learning training. …”
Get full text

Imbalanced data learning for biomedical application by Xie, Vincent JianHan.

“…This report explores a method of imbalance data learning, investigating the use of HRV parameters and vital signs as predictor of cardiac arrest occurring 72 hours within hospital admission. …”
Get full text

Machine learning based cybersecurity analytics by Tang, Yan Shuo

“…Most of the important information in packet are used to form NetFlow to act as an enhancement for packets. Machine Learning (Ensemble Method – XGBoost) is created for detecting such data exfiltration. …”
Get full text

Privacy-preserving graph representation learning by Lan, Xin

“…There are several disciplines in which graph representation learning is used. Graph neural networks in particular, as a novel kind of link prediction method, can extract hidden link information from accessible network data in the field of link prediction. …”
Get full text