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Identification of DNA Methylation Markers Using Feature Selection and Deep Learning
(2021-04)
Current tools used to gather DNA methylation data can now retrieve well over 850,000 unique methylation values per sample. As these datasets tend to be too large for a human to reasonably parse through by themselves, ...
Toward an Opinion Mining System in Software Engineering
(2021-04)
Discussions of experienced software engineers in various social forums (e.g.,
Stack Overflow) become valuable information for other software engineers
to perform software development activities. These discussions ...
Integrating Data Mining Methods Across All Domains of a Smart City : A Comprehensive Survey of Existing Research
(2022-04)
As modern cities continue to develop, smart devices are being used to improve citizens’ lives. As these devices become more sophisticated, the amount of information that they collect increases. A Smart City is a city that ...
Optimizing Deep Learning Architecture for Remote Sensing Image Analysis
(2021-04)
Deep Learning tools have become very efficient in high-resolution image analysis compared to traditional classification models. One such example is the implementation of semantic segmentation using a Convolutional Neural ...
Understanding the Language of Music : From an Etude Generation Perspective
(2022-04)
In recent years there has been a focus on the accessibility and equity of music instruction in under-served communities. The value of private/guided instruction is clear, but the question of reaching students from lower ...
Continuous, Dynamic User Authentication Using Mobile Touch Dynamics Based on Machine Learning
(2022-04)
Modern user authentication measures on mobile devices often include biometric authentication (facial and fingerprint), multi-factor authentication, and password entry as ways of authenticating users. These authentication ...
A Comparative Study of Name Entity Recognition Techniques in Software Engineering Texts
(2022-04)
Named Entity Recognition (NER) is an essential sub-task for many important tasks in software engineering (SE), such as automated requirement analysis, opinion mining, question answering, knowledge base construction, and ...
A Bibliographic Overview of Colorectal Cancer Detection and Prevention Using Machine Learning Techniques
(2022-04)
The idea of using machine learning techniques to identify colorectal cancer is a relatively new one, with most of the research being done in the last ten years. To determine the current state of research in this field, an ...
Curiosity Detection in Student Text Data : An Empirical Investigation for a Computer Science Course
(2022-04)
Instilling curiosity in students improves their learning process. How can we understand the degree of curiosity among students in a specific course? The Question Formulation Technique (QFT) lends itself toward understanding ...
A Deep Learning Model for Pancreatic Ductal Adenocarcinoma Chemotherapy Outcome Prediction
(2022-04)
Pancreatic Ductal Adenocarcinoma (PDAC) is an aggressive abdominal malignancy, with an overall 8.5% 5-year survival rate. PDAC is often detected too late for surgical resection and associated with resistance to chemotherapy ...