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A Flexible Schema-Aware Mapping of XML Data into Relational Models
(2016-08)
In the last several years, substantial contributions have been made in the development of techniques to transform and store eXtensible Markup Language (XML) data into relational database models. Although there exists rich ...
Video Outpainting using Conditional Generative Adverarial Networks
(2021)
Recent advancements in machine learning and neural networks have pushed the boundaries of what computers can achieve. Generative adversarial networks are a specific type of neural network that have proved wildly successful ...
Compressing Massive Sequencing Data with Multiple Attribute Tree
(2019-12-13)
The significant drop in DNA Sequencing costs caused by Next-Generation Sequencing has led to the production of massive amounts of raw sequencing data. This data is stored in FASTQ files, which are text files containing a ...
Multi-Objective Query Optimization for Mobile-Cloud Database Environments Based on a Weighted Sum Model
(2016-12)
In mobile-cloud database environments, users request services executed on a cloud through mobile devices. Requested data might be partially cached on the mobile device itself or must be processed on the cloud which leads ...
Study of Matrices Related to Discrete Logarithm in Kummer Extensions
(2016)
The discrete logarithm problem has been studied during the past decades for its important application in cryptography and other fields. It is very useful in the public key cryptography, which is widely used for Internet ...
Visualizing Data in Traditional Text Layouts with Application to Classical Latin
(2017)
Scholarship in linguistics, library science, journalism, and classics has long de- pended upon reading and analyzing text in traditional printed formats. Increasingly, manual and automatic text processing techniques are ...
Evaluating GAM-Like Neural Network Architectures for Interpretable Machine Learning
(2019-05)
In many machine learning applications, interpretability is of the utmost importance. Artificial intelligence is proliferating, but before you entrust your finances, your well-being, or even your life to a machine, you’d ...
Visibility Estimation from Camera Images Using Deep Learning
(2023-08-04)
Atmospheric visibility is an important and complex meteorological variable that directly affects safe and reliable transportation. Specifically, declining visibility can pose an increased risk to automotive, aviation, and ...
Recording and Replaying User Intentions in Coordinated Multiple View Visualizations
(2016-08-12)
Visualization tools help people gain insights into data. Analysts often want to revisit and review previously visited visualization states to make sense of their previous observations. Browsing a history of visualization ...
Question-Answering for Segment Retrieval on Podcast Transcripts
(2022-08)
Podcasting has rapidly ascended as one of the primary forms of spoken-word media in
the 21st century. The Spotify Podcast Dataset has compiled transcripts of over 100,000
podcast episodes, making it one of the largest ...