Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
Articles 1 - 11 of 11
Full-Text Articles in Physical Sciences and Mathematics
"Authors On The Hill " Presents Prof. Giovanni Spani, Giovanni Spani
"Authors On The Hill " Presents Prof. Giovanni Spani, Giovanni Spani
Authors on the Hill
Professor Giovanni Spani of the World Languages, Literatures, and Cultures Department at the College of the Holy Cross will present his work on Dante's Florence, a multimedia educational app for Android and iOS.
The Limits Of Machine Learning, Ma. Mercedes T. Rodrigo
The Limits Of Machine Learning, Ma. Mercedes T. Rodrigo
Magisterial Lectures
In this lecture, Dr. Rodrigo discusses how machine-learned models are constrained by the data on which they are based and by the human beings who control them.
Speaker: Ma Mercedes T Rodrigo is a professor at the Department of Information Systems and Computer Science, the head of the Ateneo Laboratory for the Learning Sciences, and the Executive Director of Arete. Her areas of specialization are educational technology, artificial intelligence in education, and educational data mining.
Computer Science Principles With Java, Seth D. Bergmann
Computer Science Principles With Java, Seth D. Bergmann
Open Educational Resources
This textbook is intended to be used for a first course in computer science, such as the College Board’s Advanced Placement course known as AP Computer Science Principles (CSP). This book includes all the topics on the CSP exam, plus some additional topics. It takes a breadth-first approach, with an emphasis on the principles which form the foundation for hardware and software. No prior experience with programming should be required to use this book. This version of the book uses the Java programming language.
Love A Restaurant? Swipe Right On Foodrecce, Hady W. Lauw, Smu Office Of Research
Love A Restaurant? Swipe Right On Foodrecce, Hady W. Lauw, Smu Office Of Research
Research@SMU Infographics
A bunch of your friends wants to meet for dinner, but nobody can agree on where and what to eat? FoodRecce can help! FoodRecce is an app, developed under the Preferred.AI initiative, that provides recommendations on restaurants based on users' locations and past preferences.
Feature Extraction And Analysis Of Binaries For Classification, Micah Flack
Feature Extraction And Analysis Of Binaries For Classification, Micah Flack
Annual Research Symposium
The research project, Feature Extraction and, Analysis of Binaries for Classification, provides an in-depth examination of the features shared by unlabeled binary samples, for classification into the categories of benign or malicious software using several different methods. Because of the time it takes to manually analyze or reverse engineer binaries to determine their function, the ability to gather features and then instantly classify samples without explicitly programming the solution is incredibly valuable. It is possible to use an online service; however, this is not always viable depending on the sensitivity of the binary. With Python3 and the Pefile library, we …
Npgreat: Hybrid Assembly Of Human Subtelomeres With The Use Of Nanopore And Linked-Read Datasets, Eleni Adam, Desh Ranjan, Harold Riethman
Npgreat: Hybrid Assembly Of Human Subtelomeres With The Use Of Nanopore And Linked-Read Datasets, Eleni Adam, Desh Ranjan, Harold Riethman
College of Sciences Posters
The telomeres are vitally important regions that are located at the tips of the chromosomes. Their dysfunction, caused by length shortening can lead to senescent cells, which in turn cause age-related diseases, including cancer. The subtelomeres, located next to the telomeres, possess the critical role of regulating the adjacent telomere lengths. Even after many years of research, human subtelomeres have proven to be very hard to assemble due to their morphology. In order to overcome these problems, the hybrid assembly method we develop utilizes two of the latest available types of data, which complement each other: Linked-Reads and ultralong Nanopore …
Multi-Label Model For Toxicity Prediction, Xiu Huan Yap, Michael L. Raymer
Multi-Label Model For Toxicity Prediction, Xiu Huan Yap, Michael L. Raymer
Symposium of Student Research, Scholarship, and Creative Activities Materials
Most computational predictive models are specifically trained for a single toxicity endpoint. Since more than 1300 toxicity assays have been reported in the TOXCAST dashboard, achieving high coverage over this growing number of toxicity endpoints remains challenging. Furthermore, single-endpoint models lack the ability to learn dependencies between endpoints, such as those targeting similar biological pathways, which may be used to boost model performance. In this study, we characterize the performance of 3 multi-label classification (MLC) models, namely Classifier Chains (CC), Label Powersets (LP) and Stacking (SBR), on Tox21 challenge data. These MLC models employ the Problem Transformation approach, which is …
Cylindrical Similarity Measurement For Helices In Medium-Resolution Cryo-Electron Microscopy Density Maps, Salim Sazzed, Peter Scheible, Maytha Alshammari, Willy Wriggers, Jing He
Cylindrical Similarity Measurement For Helices In Medium-Resolution Cryo-Electron Microscopy Density Maps, Salim Sazzed, Peter Scheible, Maytha Alshammari, Willy Wriggers, Jing He
College of Sciences Posters
Cryo-electron microscopy (cryo-EM) density maps at medium resolution (5-10 Å) reveal secondary structural features such as α-helices and β-sheets, but they lack the side chains details that would enable a direct structure determination. Among the more than 800 entries in the Electron Microscopy Data Bank (EMDB) of medium-resolution density maps that are associated with atomic models, a wide variety of similarities can be observed between maps and models. To validate such atomic models and to classify structural features, a local similarity criterion, the F1 score, is proposed and evaluated in this study. The F1 score is theoretically normalized to a …
Statistical Analysis Of Social Network Change, Teresa D. Schmidt
Statistical Analysis Of Social Network Change, Teresa D. Schmidt
Systems Science Friday Noon Seminar Series
We explore two statistical methods that infer social network structures and statistically test those structures for change over time: regression-based differential network analysis (R-DNA) and information theory-based differential network analysis (I-DNA). RDNA is adapted from bioinformatics and I-DNA employs reconstructability analysis. Both methods are used to analyze Medicaid claims data from one-year periods before and after the formation of the Health Share of Oregon Coordinated Care Organization (CCO). We hypothesized that Health Share’s CCO formation would be followed by several changes in the healthcare delivery network.
Application of R-DNA and I-DNA to claims data involves three steps: (a) the inference …
Automated Process Of Quantifying Scientific Images Using Fiji, Olivia Casimir
Automated Process Of Quantifying Scientific Images Using Fiji, Olivia Casimir
Summer Community of Scholars Posters (RCEU and HCR Combined Programs)
No abstract provided.
Creating And Deploying Automated Software Test Procedures With Regression Testing, Austen Seidler
Creating And Deploying Automated Software Test Procedures With Regression Testing, Austen Seidler
Summer Community of Scholars Posters (RCEU and HCR Combined Programs)
No abstract provided.