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2024-09-22: Looking Back at My PhD Journey

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I ( Gavindya Jayawardena ) began my PhD journey in Spring 2019 under the guidance of Dr. Sampath Jayarathna at Old Dominion University (ODU) , immediately after completing my Bachelor’s degree. I joined the Neuro-Information Retrieval and Data Science (NIRDS) lab , a subgroup within the Web Science and Digital Libraries (WSDL) research lab in the Computer Science Department . Dr. Sampath Jayarathna provided me with the opportunity to engage in eye-tracking research, which rapidly became the central focus of my studies. In collaboration with Dr. Anne Perrotti from ODU, I explored how eye-tracking measurements could be utilized to predict Attention-Deficit/Hyperactivity Disorder (ADHD) using machine learning algorithms. By extracting raw eye-tracking data, I created a feature set that enabled multiple models to achieve high prediction accuracy with tree-based classifiers. Additionally, I studied the performance of adolescents with ADHD during an audiovisual Speech-In-Noise task , ana

2024-09-20: Some URLs Are Immortal, Most Are Ephemeral

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This post reports preliminary results from the "Not Your Parents' Web" project, a collaboration between Old Dominion University's Web Science and Digital Libraries group , the Internet Archive (IA), and the Filecoin Foundation , with funding provided by the Filecoin Foundation. This work was performed by Kritika Garg (ODU PhD student), Sawood Alam (Internet Archive), Michele Weigle (ODU faculty), Michael Nelson (ODU faculty), and Dietrich Ayala (Filecoin Foundation). Our goal is to revisit the question, "How long does a webpage last?". The canonical response has been 44 , 75 , or 100 days, but that was based on research done in the early days of the Web (1996–2003). A study published in May 2024 from the Pew Research Center, "When Online Content Disappears" , found that 38% of webpages that existed in 2013 are no longer available on the live Web. A February 2024 study from the SEO company Ahrefs also considered the current status of links from 2

2024-09-13: Paper Summary: Uncertainty Quantification in Table Structure Recognition

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                   Figure 1. An illustration of the differences between aleatoric and epistemic uncertainties (Yang et al., 2023). Introduction Table Structure Recognition (TSR) is a task of document analysis that focuses on identifying rows and columns in digital table images [4]. While current TSR methods can identify cell locations, they lack the ability to predict uncertainties in their results [1]. This limitation has hindered the real-world application of TSR, such as automatically extracting data from table images in physical sciences. In this blog post, we summarize our paper titled " Uncertainty Quantification (UQ) for Table Structure Recognition ", presented at the 2024 IEEE International Conference on Information Reuse and Integration for Data Science . In this paper, we proposed a method called TTA-m (Test-Time Augmentation with multiple models) that aims to quantify uncertainties in TSR predictions, potentially enhancing how we extract and verify tabular data fr

2024-09-05: Digital Methods for the Study of Mobilities Workshop Trip Report

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Traditionally, historians have relied on conventional methods to uncover the details of our past. These methods include qualitative text analysis, translations, and transliterations, among other approaches. Such techniques have been essential for understanding historical events, cultures, and societies. However, the advent of digital tools and methodologies has significantly transformed the field, enabling more detailed analysis and visualization of historical data. New techniques, such as mapping and spatial analysis software, social network analysis tools, and digital databases, have not only facilitated the efficient storage and access to large volumes of information but also allowed historians to explore historical mobilities—meaning the movement of people and communities, as well as societal changes across different regions and time periods. The workshop “ Digital Methods for the Study of Mobilities ,” held  June 25-26, 2024, at the higher education and research institution INALCO